ADAPTIVE INTELLIGENCE AND SHARED INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM

PLATEFORME D'ACTIVATION DE TRANSACTION DE PRET D'INFRASTRUCTURE PARTAGEE ET A INTELLIGENCE ADAPTATIVE

English Abstract

Systems, methods, and apparatus for automated execution of loan based activities are disclosed herein. An example system may include a blockchain service circuit to interpret access control features corresponding to parties associated with a loan; a data collection circuit to interpret entity information; a smart contract circuit to specify loan terms and conditions; and a loan management circuit. The loan management circuit may interpret loan related events and implement loan related activities in response to the entity information, the plurality of access control features, and the loan terms and conditions. Each of the blockchain service circuit, the data collection circuit, the smart contract circuit, and the loan management circuit further include a corresponding application programming interface (API) component to facilitate communication among the circuits of the system.

French Abstract

La présente invention concerne des systèmes, des procédés et des appareils pour l'exécution automatisée d'activités à base de prêt. Un système donné à titre d'exemple peut comprendre un circuit de service à chaîne de blocs pour interpréter des caractéristiques de contrôle d'accès qui correspondent à des tiers associés à un prêt ; un circuit de collecte de données pour interpréter des informations d'entité ; un circuit de contrat intelligent pour spécifier des termes et des conditions de prêt ; et un circuit de gestion de prêt. Le circuit de gestion de prêt peut interpréter des événements connexes à un prêt et mettre en uvre des activités connexes à un prêt en réponse aux informations d'entité, à la pluralité de caractéristiques de contrôle d'accès et aux termes et conditions de prêt. Chacun du circuit de service de chaîne de blocs, du circuit de collecte de données, du circuit de contrat intelligent et du circuit de gestion de prêt comprend en outre un composant d'interface de programmation d'application (API) correspondant pour faciliter la communication entre les circuits du système.

Claims

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What is claimed is
1. A system, comprising:
a blockchain service circuit structured to interpret a plurality of access
control features
corresponding to a plurality of parties associated with a loan;
a data collection circuit structured to interpret entity information
corresponding to a
plurality of entities related to a lending transaction corresponding to the
loan;
a smart contract circuit structured to specify loan terms and conditions
relating to the
loan; and
a loan management circuit structured to:
interpret loan related events in response to the entity information, the
plurality of access
control features, and the loan terms and conditions, wherein the loan related
events are
associated with the loan;
implement loan related activities in response to the entity information, the
plurality of access
control features, and the loan terms and conditions, wherein the loan related
activities are
associated with the loan; and
wherein each of the blockchain service circuit, the data collection circuit,
the smart contract
circuit, and the loan management circuit further comprise a corresponding
application
programming interface (API) component structured to facilitate communication
among the
circuits of the system.
2. The system of claim 1, wherein the plurality of entities each comprises at
least one entity
selected from the entities consisting of : a lender, a borrower, a guarantor,
equipment related
to the loan, goods related to the loan, a system related to the loan, a
fixture related to the loan,
a building, a storage facility, and an item of collateral.
3. The system of claim 1, wherein at least one of the plurality of entities
comprises an item of
collateral, and wherein the data collection circuit is further structured to
interpret a condition
of the item of collateral.
4. The system of claim 3, wherein the item of collateral comprises at least
one item selected
from the items consisting of : a vehicle, a ship, a plane, a building, a home,
a real estate
property, an undeveloped land property, a farm, a crop, a municipal facility,
a warehouse, a
set of inventory, a commodity, a security, a currency, a token of value, a
ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item of
jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
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contractual right, an antique, a fixture, an item of furniture, a tool, an
item of machinery, and
an item of personal property.
5. The system of claim 1, wherein the data collection circuit further
comprises at least one
system selected from the systems consisting of : an Internet of Things system,
a camera
system, a networked monitoring system, an internet monitoring system, a mobile
device
system, a wearable device system, a user interface system, and an interactive
crowdsourcing
system.
6. The system of claim 1, wherein the loan related events each comprise at
least one event
selected from the events consisting of : a loan request, a loan offer, a loan
acceptance, a
provision of underwriting information for a loan, a provision of a credit
report, a deferral of a
payment, a requested deferral of a payment, an identification of collateral, a
validation of title
for collateral, a validation of title for a security, an inspection of
property, a change in
condition for at least one of the plurality of entities, a change in value of
an entity, a change
in value for collateral, a change in value for a security, a change in a job
status of at least one
of the parties, a change in a financial rating of a lender, a provision of
insurance for the loan,
a provision of evidence of insurance for a property, a provision of
eligibility for a loan, an
identification of security for the loan, an execution of underwriting the
loan, a payment of the
loan, a default of the loan, a calling of the loan, a closing of the loan, a
change in the
specified loan terms and conditions, an initial specification of the loan
terms and conditions,
and a foreclosure of a property subject to the loan.
7. The system of claim 1, wherein the loan terms and conditions each comprise
at least one
member selected from the group consisting of : a principal amount of the loan,
a balance of
the loan, a fixed interest rate, a variable interest rate description, a
payment amount, a
payment schedule, a balloon payment schedule, a collateral specification, a
collateral
substitution description, a description of at least one of the parties, a
guarantee description, a
guarantor description, a security description, a personal guarantee, a lien, a
foreclosure
condition, a default condition, a consequence of default, a covenant related
to any one of the
foregoing, and a duration of any one of the foregoing.
8. The system of claim 1, wherein at least one of the parties comprises at
least one party
selected from the parties consisting of: a primary lender, a secondary lender,
, a lending
syndicate , a corporate lender, a government lender, a bank lender, a secured
lender, bond
issuer, a bond purchaser, an unsecured lender, a guarantor, a provider of
security, a borrower,
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a debtor, an underwriter, an inspector, an assessor, an auditor, a valuation
professional, a
government official, a government agency, and an accountant.
9. The system of claim 1, wherein loan related activities each comprise at
least one activity
selected from the activities consisting of : finding at least one of the
parties interested in
participating in a loan transaction, an application for the loan, underwriting
the loan, forming
a legal contract for the loan, monitoring performance of the loan, making
payments on the
loan, restructuring or amending the loan, settling the loan, monitoring
collateral for the loan,
forming a syndicate for the loan, foreclosing on the loan, and closing a loan
transaction.
10. The system of claim 1, wherein the loan comprises at least one loan type
selected from
the loan types consisting of : an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
11. The system of claim 1, wherein the smart contract circuit is further
structured to perform
a contract related loan action in response to the entity information.
12. The system of claim 11, wherein the contract related loan action comprises
at least one
action selected from the actions consisting of : offering the loan, accepting
the loan,
underwriting the loan, setting an interest rate for the loan, deferring a
payment requirement
for the loan, modifying an interest rate for the loan, validating title for
collateral of the loan,
recording a change in title, assessing a value of collateral, initiating
inspection of collateral,
calling the loan, closing the loan, modifying the terms and conditions for the
loan, providing
a notice to one of the parties, providing a required notice to a borrower of
the loan, and
foreclosing on a property subject to the loan.
13. The system of claim 1, further comprising an automated agent circuit
structured to
interpret an event relevant to the loan, and to perform an action related to
the loan in response
to the event relevant to the loan.
14. The system of claim 13, wherein the event relevant to the loan comprises
an event
relevant to at least one of: a value of the loan, a condition of collateral of
the loan, or an
ownership of collateral of the loan.
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15. The system of claim 13, wherein the action related to the loan comprises
at least one of :
modifying the terms and conditions for the loan, providing a notice to one of
the parties,
providing a required notice to a borrower of the loan, and foreclosing on a
property subject to
the loan.
16. The system of claim 1, wherein the corresponding API components of the
circuits further
comprise user interfaces structured to interact with a plurality of users of
the system.
17. The system of claim 16, wherein the plurality of users each comprise one
of the plurality
of parties or one of the plurality of entities.
18. The system of claim 16, wherein at least one of the plurality of users
comprises one of a
prospective party or a prospective entity.
19. The system of claim 16, wherein each of the user interfaces is configured
to be responsive
to the plurality of access control features.
20. A method, comprising:
interpreting a plurality of access control features corresponding to a
plurality of
parties associated with a loan from a distributed ledger;
interpreting entity information corresponding to a plurality of entities
related to a
lending transaction corresponding to the loan;
specifying loan terms and conditions relating to the loan;
interpreting loan related events in response to the entity information, the
plurality of
access control features, and the loan terms and conditions, wherein the loan
related events are
associated with the loan.
21. The method of claim 20, wherein at least one of the plurality of entities
comprises an item
of collateral, the method further comprising interpreting a condition of the
item of collateral.
22. The method of claim 20, further comprising performing a contract related
loan action in
response to the entity information.
23. The method of claim 22, wherein performing the contract related loan
action comprises at
least one action selected from the actions consisting of : offering the loan,
accepting the loan,
underwriting the loan, setting an interest rate for the loan, deferring a
payment requirement
for the loan, modifying an interest rate for the loan, validating title for
collateral of the loan,
recording a change in title, assessing a value of collateral, initiating
inspection of collateral,
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calling the loan, closing the loan, modifying the terms and conditions for the
loan, providing
a notice to one of the parties, providing a required notice to a borrower of
the loan, and
foreclosing on a property subject to the loan.
24. The method of claim 20, further comprising interpreting an event relevant
to the loan, and
performing an action related to the loan in response to the event relevant to
the loan.
25. The method of claim 24, wherein the event relevant to the loan comprises
an event
relevant to at least one of: a value of the loan, a condition of collateral of
the loan, or an
ownership of collateral of the loan.
26. The method of claim 24, wherein performing the action related to the loan
comprises at
least one of: modifying the terms and conditions for the loan, providing a
notice to one of the
parties, providing a required notice to a borrower of the loan, and
foreclosing on a property
subject to the loan.
27. The method of claim 20, further comprising providing a user interface to a
user, wherein
the user comprises at least one of: one of the plurality of parties, one of
the plurality of
entities, a prospective party, or a prospective entity.
28. The method of claim 27, wherein the providing the user interface is
further responsive to
the plurality of access control features.
29. The method of claim 20, further comprising creating a smart lending
contract for the loan.
30. The method of claim 29, further comprising recording the smart lending
contract as
blockchain data.
31. A system comprising:
a blockchain service circuit structured to interpret a plurality of access
control features
corresponding to a plurality of parties associated with a secured loan;
a data collection circuit structured to:
receive first collateral data from at least one sensor associated with an item
of collateral used
to secure the secured loan;
receive second collateral data regarding an environment of the item of
collateral from an
Internet of Things circuit;
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associate the collateral data with a unique identifier associated with the
item of collateral,
wherein the blockchain service circuit is further structured to store the
unique identifier and
associated collateral data as blockchain data;
a smart contract circuit structured to create a smart lending contract;
a secure access control circuit structured to receive access control
instructions from a lender
of the secured loan via an access control interface, wherein the secure access
control circuit is
further structured to provide instructions to the blockchain service circuit
regarding access to
the blockchain data associated with the item of collateral; and
wherein each of the blockchain service circuit, the data collection circuit,
the secure access
control circuit, and the Internet of Things circuit further comprise a
corresponding application
programming interface (API) component structured to facilitate communication
among the
circuits of the system.
32. The system of claim 31, wherein the sensor associated with the item of
collateral is
positioned in a location selected from the list consisting of: on the item of
collateral, on a
container for the item of collateral, and on a package of the item of
collateral.
33. The system of claim 31, wherein the data collection circuit is further
structured to
interpret a condition of the item of collateral in response to a subset of the
received collateral
data.
34. The system of claim 31, wherein the item of collateral comprises an item
selected from
among the list of items consisting of: a vehicle, a ship, a plane, a building,
a home, a real
estate property, an undeveloped land property, a farm, a crop, a municipal
facility, a
warehouse, a set of inventory, a commodity, a security, a currency, a token of
value, a ticket,
a cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item of
jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, a tool, an
item of machinery, and
an item of personal property.
35. The system of claim 31, wherein the secured loan comprises at least one
loan selected
from the loans consisting of: an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
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loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
36. The system of claim 31, wherein the environment of the item of collateral
is selected from
the list of environments consisting of: a real property environment, a
commercial facility, a
warehousing facility, a transportation environment, a manufacturing
environment, a storage
environment, a home, and a vehicle.
37. The system of claim 31, wherein the at least one sensor comprises at least
one sensor
selected from the group consisting of: an image capture device, a thermometer,
a pressure
gauge, a humidity sensor, a velocity sensor, an acceleration sensor, a
rotational sensor, a
torque sensor, a scale, chemical, magnetic field, electrical field, and
position sensors.
38. The system of claim 31, further comprising a reporting circuit structured
to report a
collateral event related to an aspect of the collateral selected from the list
of aspects
consisting of: a value of
the item of collateral, a condition of the item of collateral, and an
ownership of the item of
collateral.
39. The system of claim 38, further comprising an automated agent circuit
structured to
interpret the collateral event and to perform a loan-related action in
response to the collateral
event.
40. The system of claim 39, wherein the loan-related action is selected from
among the
actions consisting of: offering a loan, accepting a loan, underwriting a loan,
setting an interest
rate for a loan, deferring a payment requirement, modifying an interest rate
for a loan,
validating title for collateral, recording a change in title, assessing the
value of collateral,
initiating inspection of collateral, calling a loan, closing a loan, setting
terms and conditions
for a loan, providing notices required to be provided to a borrower,
foreclosing on property
subject to a loan, and modifying terms and conditions for a loan.
41. The system of claim 31, further comprising a collateral classification
circuit structured to
identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and the item of collateral share a common attribute.
42. The system of claim 41, wherein each common attribute is selected from a
list of
attributes consisting of: a category of the item of collateral, an age of the
item of collateral, a
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condition of the item of collateral, a history of the item of collateral, an
ownership of the item
of collateral, a caretaker of the item of collateral, a security of the item
of collateral, a
condition of an owner of the item of collateral, a lien on the item of
collateral, a storage
condition of the item of collateral, a geolocation of the item of collateral,
and a jurisdictional
location of the item of collateral.
43. The system of claim 42, further comprising a market value data collection
circuit
structured to monitor and report on at least one of marketplace information
relevant to a value
of the item of collateral or at least one of the group of off-set items of
collateral.
44. The system of claim 43, wherein the market value data collection circuit
is further
structured to monitor at least one of: a price or financial data of the item
of collateral or at
least one of the group of off-set items of collateral in at least one public
marketplace.
45. The system of claim 43, wherein the market value data collection circuit
is further
structured to monitor a price of financial data of the item of collateral, and
to report the
monitored one of the price or the financial data.
46. The system of claim 43, wherein the market value data collection circuit
is further
structured to monitor at least one of the group of off-set items of collateral
in at least one
public marketplace, and wherein the smart contract circuit is further
structured to modify a
term or condition of the loan based on the marketplace information for off-set
items of
collateral relevant to the value of the item of collateral.
47. The system of claim 31, further comprising a smart contract services
circuit structured to
manage a smart contract for the secured loan.
48. The system of claim 47, where the smart contract services circuit is
further structured to
set terms and conditions related to the item of collateral securing the loan.
49. The system of claim 48, wherein each one of the terms and conditions are
selected from a
list consisting of: a specification of the item of collateral, a specification
of substitutability of
the item of collateral, a specification of condition of the item of
collateral, a specification
related to liens on the item of collateral, a specification related to the
security of the item of
collateral, and a specification related to the environment of the item of
collateral.
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50. A method, comprising:
receiving first collateral data from a sensor associated with an item of
collateral used to
secure a loan;
receiving second collateral data regarding an environment of the item of
collateral;
associating the collateral data with a unique identifier associated with the
item of collateral;
creating a smart lending contract;
storing the unique identifier and the collateral data in a blockchain
structure;
receiving access control instructions from a lender of the secured loan;
interpreting a plurality of access control features; and
providing access to the data regarding the item of collateral.
51. The method of claim 50, further comprising interpreting a condition of the
item of
collateral in response to at least a portion of the received collateral data.
52. The method of claim 51, further comprising identifying a collateral event
from the
condition of the item of collateral.
53. The method of claim 52, further comprising reporting the collateral event,
wherein the
collateral event is relevant to a collateral characteristic selected from the
list consisting of: a
value of the item of collateral, a condition of the item of collateral, and an
ownership of the
item of collateral.
54. The method of claim 50, further comprising determining a value for the
item of collateral.
55. The method of claim 52, further comprising performing a loan-related
action in response
to the collateral event.
56. The method of claim 51, further comprising identifying a group of off-set
collateral,
wherein each member of the group of off-set items of collateral and the item
of collateral
share a common attribute.
57. The method of claim 56, further comprising monitoring a marketplace for
information
relevant to a value of the item of collateral or at least one of the group of
off-set items of
collateral.
58. The method of claim 57, further comprising modifying a term or condition
of the loan
based on the monitoring of the marketplace for information.
59. The method of claim 51, further comprising creating a smart lending
contract for the loan.
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60. The method of claim 51, further comprising:
receiving access control instructions;
interpreting a plurality of access control features; and
providing access to the collateral data.
61. A system comprising:
a blockchain service circuit structured to interface with a distributed
ledger;
a data collection circuit structured to receive data related to a plurality of
items of collateral
or data related to environments of the plurality of items of collateral;
a valuation circuit structured to determine a value for each of the plurality
of items of
collateral based on a valuation model and the received data;
a smart contract circuit structured to interpret a smart lending contract for
a loan,
and to modify the smart lending contract by assigning, based on the determined
value for
each of the plurality of items of collateral, at least a portion of the
plurality of items of
collateral as security for the loan such that the determined value of the of
the plurality of
items of collateral is sufficient to provide security for the loan;
wherein the blockchain service circuit is further structured to record the
assigned at least a
portion of items of collateral to an entry in the distributed ledger, wherein
the entry is used to
record events relevant to the loan; and
wherein each of the blockchain service circuit, the data collection circuit,
the valuation circuit
and the smart contract circuit further comprise a corresponding application
programming
interface (API) component structured to facilitate communication among the
circuits of the
system.
62. The system of claim 61, wherein modifying the smart lending contract
further comprises
specifying terms and conditions that govern an item selected from the list
consisting of: a
loan term, a loan condition, a loan-related event, and a loan-related
activity.
63. The system of claim 62, where the terms and conditions each comprise at
least one
member selected from the group consisting of : a principal amount of the loan,
a balance of
the loan, a fixed interest rate, a variable interest rate description, a
payment amount, a
payment schedule, a balloon payment schedule, a collateral specification, a
collateral
substitution description, a description of at least one party, a guarantee
description, a
guarantor description, a security description, a personal guarantee, a lien, a
foreclosure
condition, a default condition, a consequence of default, a covenant related
to any one of the
foregoing, and a duration of any one of the foregoing.
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64. The system of claim 61, wherein the loan comprises at least one loan type
selected from
the loan types consisting of : an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
65. The system of claim 61, wherein the item of collateral comprises at least
one item
selected from the items consisting of : a vehicle, a ship, a plane, a
building, a home, a real
estate property, an undeveloped land property, a farm, a crop, a municipal
facility, a
warehouse, a set of inventory, a commodity, a security, a currency, a token of
value, a ticket,
a cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item of
jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, a tool, an
item of machinery, and
an item of personal property.
66. The system of claim 61, wherein the data collection circuit is further
structured to receive
outcome data related to the loan and a corresponding item of collateral, and
wherein the
valuation circuit comprises an artificial intelligent circuit structured to
iteratively improve the
valuation model based on the outcome data.
67. The system of claim 61, wherein the valuation circuit further comprises a
market value
data collection circuit structured to monitor and report marketplace
information relevant to
the value of at least one of the plurality of items of collateral.
68. The system of claim 67, wherein the market value monitoring circuit is
further structured
to monitor pricing or financial data for items that are similar to the item of
collateral in at
least one public marketplace.
69. The system of claim 68, further comprising a clustering circuit structured
to identify a
set of similar items for use in valuing the item of collateral based on
similarity to an
attribute of the collateral.
70. The system of claim 69, wherein the attribute of the collateral is
selected from among
a list of attributes consisting of: a category of the collateral, an age of
the collateral, a
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condition of the collateral, a history of the collateral, a storage condition
of the collateral,
and a geolocation of the collateral.
71. The system of claim 61, wherein the data collection circuit is further
structured to
interpret a condition of the item of collateral.
72. The system of claim 61, wherein the data collection circuit further
comprises at least one
system selected from the systems consisting of : an Internet of Things system,
a camera
system, a networked monitoring system, an internet monitoring system, a mobile
device
system, a wearable device system, a user interface system, and an interactive
crowdsourcing
system.
73. The system of claim 61, wherein the loan comprises at least one loan type
selected from
the loan types consisting of : an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
74. The system of claim 62, further comprising an automated agent circuit
structured to
interpret an event relevant to the loan, and to perform an action related to
the loan in response
to the event relevant to the loan.
75. The system of claim 74, wherein the event relevant to the loan comprises
an event
relevant to at least one of: a value of the loan, a condition of collateral of
the loan, or an
ownership of collateral of the loan.
76. The system of claim 74, wherein the action related to the loan comprises
at least one of :
modifying the terms and conditions for the loan, providing a notice to a party
to the loan,
providing a required notice to a borrower of the loan, and foreclosing on a
property subject to
the loan.
77. The system of claim 61, wherein the corresponding API components of the
circuits
further comprise user interfaces structured to interact with a plurality of
users of the system.
78. The system of claim 77, wherein the plurality of users each comprises: one
of a plurality
of parties, one of a plurality of entities, or a representative of any one of
the foregoing.
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79. The system of claim 77, wherein at least one of the plurality of users
comprises: a
prospective party, a prospective entity, or a representative of any one of the
foregoing.
80. A method, comprising:
receiving data related to a plurality of items of collateral;
setting a value for each of the plurality of items of collateral;
assigning at least a portion of the plurality of items of collateral as
security for a loan;
and
recording the assigned at least a portion of the plurality of items of
collateral to an
entry in a distributed ledger, wherein the entry is used to record events
relevant to the loan.
81. The method of claim 80, further comprising modifying a smart lending
contract for the
loan.
82. The method of claim 81, wherein modifying a smart lending contract
comprises adjusting
or specifying terms and conditions for the loan.
83. The method of claim 82, wherein the terms and conditions are each selected
from the list
consisting of : a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment
schedule, a party, a guarantee, a guarantor, a security, a personal guarantee,
a lien, a
duration, a covenant, a foreclose condition, a default condition, and a
consequence of
default.
84. The method of claim 80, further comprising receiving outcome data related
to the loan;
and iteratively improving a valuation model based on the outcome data and
corresponding
collateral.
85. The method of claim 80, further comprising monitoring marketplace
information relevant
to the value of at least one of the plurality of items of collateral.
86. The method of claim 85, further comprising identifying a set of items
similar to one of the
plurality of items of collateral based on similarity to an attribute of the
one of the plurality of
items of collateral.
87. The method of claim 86, further comprising interpreting a condition of the
one of the
plurality of items of collateral.
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88. The method of claim 87, further comprising reporting events related to a
value of the one
of the plurality of items of collateral, a condition of the one of the
plurality of items of
collateral, or an ownership of the one of the items of collateral.
89. The method of claim 80, further comprising:
interpreting an event relevant to: a value of one of the plurality of items of
collateral,
a condition of one of the plurality of items of collateral, or an ownership of
one of the
plurality of items of collateral; and
performing an action related to the secured loan in response to the event
relevant to
the one of the plurality of items of collateral for said secured loan.
90. The method of claim 89, wherein the loan-related action is selected from
among the
actions consisting of: offering a loan, accepting a loan, underwriting a loan,
setting an interest
rate for a loan, deferring a payment requirement, modifying an interest rate
for a loan,
validating title for collateral, recording a change in title, assessing the
value of collateral,
initiating inspection of collateral, calling a loan, closing a loan, setting
terms and conditions
for a loan, providing notices required to be provided to a borrower,
foreclosing on property
subject to a loan, and modifying terms and conditions for a loan.
91. A system, the system comprising:
a blockchain service circuit structured to interface with a distributed
ledger;
a data collection circuit structured to receive data related to a set of items
of collateral that
provide security for a loan:
a smart contract circuit structured to create a smart lending contract for the
loan and assign at
least a portion of the set of items of collateral to the loan, thereby
creating an assigned set of
items of collateral;
wherein the blockchain service circuit is further structured to record the
assigned set of items
of collateral to a loan-entry in the distributed ledger, and
wherein each of the blockchain service circuit, the data collection circuit,
and the smart
contract circuit further comprise a corresponding application programming
interface (API)
component structured to facilitate communication among the circuits of the
system.
92. The system of claim 91, wherein the data collection circuit is further
structured to receive
data related to an environment of the assigned set of items of collateral.
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93. The system of claim 91, wherein the smart contract circuit is further
structured to specify
a term or condition of the loan that governs an item selected from the list
consisting of: a loan
term, a loan condition, a loan-related event, and a loan-related activity.
94. The system of claim 93, where the terms and conditions of the loan each
comprise at least
one member selected from the group consisting of : a principal amount of the
loan, a balance
of the loan, a fixed interest rate, a variable interest rate description, a
payment amount, a
payment schedule, a balloon payment schedule, a collateral specification, a
collateral
substitution description, a description of at least one party to the loan, a
guarantee
description, a guarantor description, a security description, a personal
guarantee, a lien, a
foreclosure condition, a default condition, a consequence of default, a
covenant related to any
one of the foregoing, and a duration of any one of the foregoing.
95. The system of claim 91, wherein the loan comprises at least one loan type
selected from
the loan types consisting of : an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
96. The system of claim 95, wherein the assigned set of items of collateral
comprises at least
one item selected from the items consisting of : a vehicle, a ship, a plane, a
building, a home,
a real estate property, an undeveloped land property, a farm, a crop, a
municipal facility, a
warehouse, a set of inventory, a commodity, a security, a currency, a token of
value, a ticket,
a cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item of
jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, a tool, an
item of machinery, and
an item of personal property.
97. The system of claim 91, further comprising a valuation circuit structured
to determine a
value for each of the set of items of collateral or the assigned set of items
of collateral, based
on a valuation model and the received data.
98. The system of claim 97, wherein the valuation circuit comprises a
valuation model
improvement circuit, wherein the valuation model improvement circuit modifies
the
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valuation model based on a first set of valuation determinations for a first
set of items of
collateral and a corresponding set of loan outcomes having the first set of
items of
collateral as security.
99. The system of claim 98, wherein the valuation model improvement circuit
comprises
at least one system from the list of systems consisting of: a machine learning
system, a
model-based system, a rule-based system, a deep learning system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network,
a self-organizing map, a fuzzy logic system, a random walk system, a random
forest
system, a probabilistic system, a Bayesian system, a simulation system, and a
hybrid
system including at least two of any of the foregoing.
100. The system of claim 97, further comprising a collateral classification
circuit structured
to identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and at least one of the assigned set of items of
collateral share a common
attribute.
101. The system of claim 100, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the items, an age of the items, a
condition of the items,
a history of the items, an ownership of the items, a caretaker of the items, a
security of the
items, a condition of an owner of the items, a lien on the items, a storage
condition of the
items, a geolocation of the items, and a jurisdictional location of the items.
102. The system of claim 100, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for offset
items of collateral relevant to the value of at least one of the assigned set
of items of
collateral.
103. The system of claim 97, wherein the smart contract circuit is further
structured to
apportion, among a set of lenders, the value for one of the assigned set of
items of
collateral.
104. The system of claim 103, wherein the loan-entry in the distributed ledger
further
comprises priority information related to a lender, and wherein an
apportionment of value is
based on the priority information for the lender.
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105. The system of claim 104, wherein the lender is selected from a list
consisting of: a
primary lender, a secondary lender, a lending syndicate, a corporate lender, a
government
lender, a bank lender, a secured lender, a bond issuer, and an unsecured
lender.
106. The system of claim 91, wherein the data collection circuit comprises at
least one system
selected from systems consisting of: an Internet of Things system, a camera
system, a
networked monitoring system, an internet monitoring system, a mobile device
system, a
wearable device system, a user interface system, and an interactive
crowdsourcing system.
107. The system of claim 91, wherein the data collection circuit is further
structured to
identify a collateral event based on the received data, wherein the collateral
event is related to
a value of one of the assigned set of items of collateral, a condition of one
of the assigned set
of items of collateral, or an ownership of one of the assigned set of items of
collateral.
108. The system of claim 107, further comprising an automated agent circuit
structured to
perform a collateral-related action in response to the collateral event.
109. The system of claim 108, wherein the collateral-related action is
selected from among
the actions consisting of: validating title for the one of the assigned set of
items of collateral,
recording a change in title for the one of the assigned set of items of
collateral, assessing the
value of the one of the assigned set of items of collateral, initiating
inspection of the one of
the assigned set of items of collateral, initiating maintenance of the one of
the assigned set of
items of collateral, initiating security for the one of the assigned set of
items of collateral, and
modifying terms and conditions for the one of the assigned set of items of
collateral.
110. The system of claim 109, wherein the automated agent circuit is further
structured to
perform a loan-related action in response to the collateral event.
111. The system of claim 110, wherein the loan-related action is selected from
the list of
actions consisting of: offering the loan, accepting the loan, underwriting the
loan, setting an
interest rate for a loan, deferring a payment requirement, modifying the
interest rate for the
loan, calling the loan, closing the loan, setting terms and conditions for the
loan, providing
notices required to be provided to a borrower, foreclosing on property subject
to the loan, and
modifying terms and conditions for the loan.
112. A method, comprising:
receiving data related to a set of items of collateral that provide security
for a loan;
creating a smart lending contract for the loan;
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recording the set of items of collateral in the smart lending contract; and
recording a loan-entry in a distributed ledger, wherein the loan-entry
comprises one of the
smart lending contract or a reference to the smart lending contract.
113. The method of claim 112, further comprising receiving data related to an
environment of
one of the set of items of collateral.
114. The method of claim 113, further comprising determining a value for each
of the set of
items of collateral based on a valuation model and the received data.
115. The method of claim 114, further comprising modifying the valuation model
based on
a first set of valuation determinations for a first set of items of collateral
and a
corresponding set of loan outcomes having the first set of items of collateral
as security.
116. The method of claim 114, further comprising apportioning, among a set of
lenders,
the value of one of the set of items of collateral.
117. The method of claim 114, further comprising determining a collateral
event based
on at least one of the value of one of the set of items of collateral and the
received data.
118. The method of claim 117, further comprising performing a loan-related
action in
response to the collateral event, wherein the loan-related action is selected
from the list of
actions consisting of: offering the loan, accepting the loan, underwriting the
loan, setting an
interest rate for a loan, deferring a payment requirement, modifying the
interest rate for the
loan, calling the loan, closing the loan, setting terms and conditions for the
loan, providing
notices required to be provided to a borrower, foreclosing on property subject
to the loan, and
modifying terms and conditions for the loan.
119. The method of claim 117, further comprising performing a collateral-
related action
in response to the collateral event, wherein the collateral-related action is
selected from
the list of actions consisting of: validating title for the one of the set of
items of collateral,
recording a change in title for the one of the set of items of collateral,
assessing the value of
the one of the set of items of collateral, initiating inspection of the one of
the set of items of
collateral, initiating maintenance of the one of the set of items of
collateral, initiating security
for the one of the set of items of collateral, and modifying terms and
conditions for the one of
the set of items of collateral.
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120. The method of claim 114, further comprising:
identifying a group of off-set items of collateral, wherein the group of off-
set items of
collateral and at least one of the set of items of collateral share a common
attribute;
monitoring marketplace information for data related to the group of off-set
items of
collateral;
updating the value of the at least one of the set of items based on the
monitored data;
and
updating the loan-entry in the distributed ledger with the updated value.
121. A system, comprising:
a data collection circuit structured to receive data related to an item of
collateral that
provides security for a loan;
a valuation circuit structured to determine a value for the item of collateral
based on the
received data and a valuation model;
a smart contract circuit structured to create a smart lending contract,
wherein the smart
lending contract specifies a covenant defining a required value of the item of
collateral; and
a loan management circuit comprising:
a value comparison circuit structured to compare the value of the item and the
specified covenant and determine a collateral satisfaction value,
an automated agent circuit structured to automatically implement loan related
activities in response to the collateral satisfaction value,
wherein the loan related activities comprise: issuing a notice of default or a
foreclosure action.
122. The system of claim 121, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
in response to
the collateral satisfaction value; and
modify the smart lending contract to include the at least one of the term or
the condition.
123. The system of claim 122, wherein the at least one of the term or the
condition is related
to a loan component selected from the loan components consisting of: a loan
party, a loan
collateral, a loan-related event, and a loan-related activity.
124. The system of claim 123, wherein the at least one of a term or condition
is selected from
the list consisting of : a principal amount of the loan, a balance of the
loan, a fixed interest
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rate, a variable interest rate description, a payment amount, a payment
schedule, a balloon
payment schedule, a collateral specification, a collateral substitution
description, a
description of a party, a guarantee description, a guarantor description, a
security description,
a personal guarantee, a lien, a foreclosure condition, a default condition, a
consequence of
default, a covenant related to any one of the foregoing, and a duration of any
one of the
foregoing.
125. The system of claim 122, wherein the at least one of a term or condition
is selected from
the list consisting of: a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment schedule, a
party, a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a covenant,
a foreclose condition, a default condition, and a consequence of default.
126. The system of claim 121, wherein the valuation circuit comprises a
valuation model
improvement circuit, wherein the valuation model improvement circuit modifies
the
valuation model based on a first set of valuation determinations for a first
set of items of
collateral and a corresponding set of loan outcomes having the first set of
items of collateral
as security.
127. The system of claim 126, wherein the valuation model improvement circuit
comprises at least one system from the list of systems consisting of: a
machine learning
system, a model-based system, a rule-based system, a deep learning system, a
neural network,
a convolutional neural network, a feed forward neural network, a feedback
neural network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, a simulation system, and a hybrid
system of at least
two of any of the foregoing.
128. The system of claim 121, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: an Internet of Things system, a
camera system, a
networked monitoring system, an internet monitoring system, a mobile device
system, a
wearable device system, a user interface system, and an interactive
crowdsourcing system.
129. The system of claim 121, wherein the valuation circuit further comprises
a collateral
classification circuit structured to identify a group of off-set items of
collateral, wherein each
member of the group of off-set items of collateral and the item of collateral
share a common
attribute.
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130. The system of claim 129, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the item of collateral, an age of the
item of collateral, a
condition of the item of collateral, a history of the item of collateral, an
ownership of the item
of collateral, a caretaker of the item of collateral, a security of the item
of collateral, a
condition of an owner of the item of collateral, a lien on the item of
collateral, a storage
condition of the item of collateral, a geolocation of the item of collateral,
and a jurisdictional
location of the item of collateral.
131. The system of claim 121, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for offset items of collateral relevant to the value of the item
of collateral.
132. The system of claim 131, wherein the market value data collection circuit
is
further structured to: monitor one of pricing or financial data for the offset
items of
collateral in at least one public marketplace; and report the monitored one
of pricing or financial data.
133. The system of claim 121, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment loan, a
bond for performance, a capital improvement loan, a building loan, a loan
backed by an
account receivable, an invoice finance arrangement, a factoring arrangement, a
pay day loan,
a refund anticipation loan, a student loan, a syndicated loan, a title loan, a
home loan, a
venture debt loan, a loan of intellectual property, a loan of a contractual
claim, a working
capital loan, a small business loan, a farm loan, a municipal bond, and a
subsidized loan.
134. The system of claim 121, where the item of collateral is selected from
the list of items
consisting of : a vehicle, a ship, a plane, a building, a home, a real estate
property, an
undeveloped land property, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual right,
an antique, a fixture, an item of furniture, a tool, an item of machinery, and
an item of
personal property.
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135. The system of claim 121 further comprising a blockchain service circuit
structured to
store at least one of the smart lending contract or a reference to the smart
lending contract as
blockchain data.
136. The system of claim 121, further comprising a reporting circuit
structured to report
a collateral event based on the received data, wherein the collateral event is
related to a value
of the item of collateral, a condition of the item of collateral, or an
ownership of the item of
collateral.
137. The system of claim 136, further comprising an automated agent circuit
structured to perform a collateral-related action in response to the
collateral event.
138. The system of claim 137, wherein the collateral-related action is
selected from among
the actions consisting of: validating title for the item of collateral,
recording a change in
title for the item of collateral, assessing the value of the item of
collateral, initiating
inspection of the item of collateral, initiating maintenance of the item of
collateral, initiating
security for the item of collateral, and modifying terms and conditions for
the item of
collateral.
139. The system of claim 137, wherein the automated agent circuit is
further structured to perform a loan-related action in response to the
collateral event.
140. The system of claim 139, wherein the loan-related action is selected from
the list of
actions consisting of: offering the loan, accepting the loan, underwriting the
loan,
setting an interest rate for a loan, deferring a payment requirement,
modifying the interest rate
for the loan, calling the loan, closing the loan, setting terms and conditions
for the loan,
providing notices required to be provided to a borrower, foreclosing on
property subject
to the loan, and modifying terms and conditions for the loan.
141. A method, comprising:
receiving data related to an item of collateral that provides security for a
loan;
determining a value for the item of collateral based on the received data and
a valuation
model;
creating a smart lending contract, wherein the smart lending contract
specifies a
covenant having a required value of collateral;
comparing the value of the item of collateral to the value of collateral
specified in the
covenant;
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determining a collateral satisfaction value; and
implementing a loan related activity in response to the collateral
satisfaction value.
142. The method of claim 141, further comprising:
determining at least one of a term or a condition for the smart lending
contract in response to
the collateral satisfaction value; and
modifying the smart lending contract to include the at least one of the term
or the condition.
143. The method of claim 141, further comprising modifying the valuation model
based on a
first set of valuation determinations for a first set of items of collateral
and a corresponding
set of loan outcomes having the first set of items of collateral as security.
144. The method of claim 141, further comprising identifying a group of off-
set items of
collateral, wherein each member of the group of off-set items of collateral
and the item of
collateral share a common attribute.
145. The method of claim 144, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the item of collateral, an age of the
item of collateral, a
condition of the item of collateral, a history of the item of collateral, an
ownership of the item
of collateral, a caretaker of the item of collateral, a security of the item
of collateral, a
condition of an owner of the item of collateral, a lien on the item of
collateral, a storage
condition of the item of collateral, a geolocation of the item of collateral,
and a jurisdictional
location of the item of collateral.
146. The method of claim 144, further comprising monitoring and reporting
marketplace
information for data relevant to a member of the group of off-set items of
collateral.
147. The method of claim 146, wherein monitoring marketplace information
comprises
monitoring at least one public marketplace for pricing data or financial data
related to
the member of the group of off-set items of collateral.
148. The method of claim 147, further comprising modifying the smart lending
contract in
response to the marketplace information.
149. The method of claim 147, further comprising automatic initiation of a
loan related action
in response to one of the pricing data or the financial data.
150. The method of claim 149, wherein the loan-related action includes an
action selected
from a list of actions consisting of: modifying a term of the loan, issuing a
notice of default,
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initiating a foreclosure action modifying a conditions of the loan, providing
a notice to a
party of the loan, providing a required notice to a borrower of the loan , and
foreclosing on a
property subject to the loan.
151. A system, comprising:
a data collection circuit structured to receive data related to a plurality of
items of collateral;
a collateral classification circuit structured to identify, among the
plurality of items of
collateral, at least one group of related items of collateral, wherein each
member of the at
least one group shares a common attribute; and
a smart contract circuit structured to create a smart lending contract,
wherein the smart
lending contract defines a subset of items of collateral as security for a set
of loans, wherein
the subset of items of collateral is selected from the at least one group of
related items of
collateral.
152. The system of claim 151, wherein collateral classification circuit is
further structured to
select the common attribute from the received data.
153. The system of claim 151, wherein the common attribute is selected from
the list of
attributes consisting of: a type of the item of collateral, a category of the
item of collateral,
a value of the item of collateral, a price of a type of the item of
collateral, a value of a
type of the item of collateral, a specification of the item of collateral, a
product feature
set of the item of collateral, a model of the item of collateral, a brand of
the item of
collateral, a manufacturer of the item of collateral, an age of the item of
collateral, a
condition of the item of collateral, a valuation of the item of collateral, a
status of the
item of collateral, a context of the item of collateral, a state of the item
of collateral, a
storage location of the item of collateral , a history of the item of
collateral, an ownership
of the item of collateral, a caretaker of the item of collateral, a security
of the item of
collateral, a condition of an owner of the item of collateral, a lien on the
item of
collateral, a storage condition of the item of collateral, a maintenance
history of the item
of collateral, a usage history of the item of collateral, an accident history
of the item of
collateral, a fault history of the item of collateral, a history of ownership
of the item of
collateral, an assessment of the item of collateral, a geolocation of the item
of collateral,
and a jurisdictional location of the item of collateral.
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154. The system of claim 153, wherein the smart lending contract is further
structured to
identify the subset of items of collateral in real-time, and wherein the
common attribute is
similarity of status of the items of collateral.
155. The system of claim 154, wherein the similarity of status is based on
each of the subset
of items of collateral being in transit during a defined time period.
156. The system of claim 151, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: an Internet of Things system, a
camera system, a
networked monitoring system, an internet monitoring system, a mobile device
system, a
wearable device system, a user interface system, and an interactive
crowdsourcing system.
157. The system of claim 151, wherein the set of loans comprises a plurality
of loans
distributed among a plurality of borrowers.
158. The system of claim 157, further comprising:
a valuation circuit structured to determine, based on the received data and a
valuation model,
a value for each item of collateral in the subset of items of collateral; and
wherein the smart contract circuit is further structured to redefine the
subset based on the
value for each item of collateral.
159. The system of claim 158, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
based on the
value of at least one of the subset of items of collateral; and
modify the smart lending contract to include the at least one of the term or
the condition.
160. The system of claim 159, wherein the at least one of the term or the
condition is
related to a loan component selected from the loan components consisting of: a
loan
party, a loan collateral, a loan-related event, and a loan-related activity.
161. The system of claim 159, wherein the at least one of the term or the
condition is
selected from the list consisting of : a principal amount of the loan, a
balance of the loan, a
fixed interest rate, a variable interest rate description, a payment amount, a
payment
schedule, a balloon payment schedule, a collateral specification, a collateral
substitution
description, a description of a party, a guarantee description, a guarantor
description, a
security description, a personal guarantee, a lien, a foreclosure condition, a
default
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condition, a consequence of default, a covenant related to any one of the
foregoing, and a
duration of any one of the foregoing.
162. The system of claim 158, wherein the valuation circuit comprises a
valuation
model improvement circuit, wherein the valuation model improvement circuit is
structured to modify the valuation model based on a first set of valuation
determinations
for a first set of items of collateral and a corresponding set of loan
outcomes having the
first set of items of collateral as security.
163. The system of claim 162, wherein the valuation model improvement circuit
comprises at least one system from the list of systems consisting of: a
machine learning
system, a model-based system, a rule-based system, a deep learning system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, a simulation
system,
and a hybrid system including at least two of the foregoing.
164. The system of claim 158, wherein the collateral classification circuit is
further structured
to identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and the subset of items of collateral share a common
attribute.
165. The system of claim 164, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for at least
one of the group of off-set items of collateral.
166. The system of claim 165, wherein the market value data collection circuit
is further
structured to: monitor one of pricing or financial data for at least one of
the group of off-set
items of collateral in at least one public marketplace; and report the
monitored one of pricing
or financial data.
167. The system of claim 151, wherein at least one of the set of loans is of a
type selected
from among the loan types consisting of: an auto loan, an inventory loan, a
capital equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed by
an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay day
loan, a refund anticipation loan, a student loan, a syndicated loan, a title
loan, a home loan, a
venture debt loan, a loan of intellectual property, a loan of a contractual
claim, a working
capital loan, a small business loan, a farm loan, a municipal bond, and a
subsidized loan.
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168. The system of claim 151, wherein at least one of the plurality of items
of collateral is
selected from among the list of items consisting of: a vehicle, a ship, a
plane, a building, a
home, a real estate property, an undeveloped land property, a farm, a crop, a
municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, a tool, an item of
machinery, and an item of personal property.
169. The system of claim 151 further comprising a blockchain service circuit
structured to
store the at least one of the smart lending contract or a reference to the
smart lending contract
as blockchain data.
170. The system of claim 151, further comprising a reporting circuit
structured to report a
collateral event based on the received data, wherein the collateral event is
related to a value
of one of the plurality of items of collateral, a condition of one of the
plurality of items of
collateral, or an ownership of one of the plurality of items of collateral.
171. The system of claim 170, further comprising an automated agent circuit
structured to
perform a collateral-related action in response to the collateral event.
172. The system of claim 171, wherein the collateral-related action is
selected from among
the actions consisting of: validating title for one of the plurality of items
of collateral,
recording a change in title for one of the plurality of items of collateral,
assessing the value of
one of the plurality of items of collateral, initiating inspection of one of
the plurality of items
of collateral, initiating maintenance of the one of the plurality of items of
collateral, initiating
security for one of the plurality of items of collateral, and modifying terms
and conditions for
one of the plurality of items of collateral.
173. A method, comprising:
receiving data related to at least one of a plurality of items of collateral;
identifying a group of the plurality of items of collateral, wherein each
member of the group
share a common attribute;
identifying a subset of the group as security of a set of loans; and
creating a set of smart lending contracts for the set of loans.
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174. The method of claim 173, further comprising determining a value for each
item of
collateral in the subset of the group using received data and a valuation
model.
175. The method of claim 174, further comprising redefining, based on the
value for each
item of collateral in the subset of items of collateral, the subset of items
of collateral used as
security for the set of loan, of the group.
176. The method of claim 175, further comprising determining at least one of a
term or a
condition for at least one of the smart lending contracts based on the value
for at least one of
the items of collateral in the subset of the group.
177. The method of claim 176, further comprising modifying the smart lending
contract to
include the at least one of the term and the condition.
178. The method of claim 174, further comprising modifying the valuation model
based on a
first set of valuation determinations for a first set of items of collateral
and a
corresponding set of loan outcomes having the first set of items of collateral
as security.
179. The method of claim 173, further comprising identifying a group of off-
set items of
collateral, wherein each member of the group of off-set items of collateral
and the group of
the plurality of items of collateral share a common attribute.
180. The method of claim 179, further comprising monitoring and reporting
marketplace
information for the group of off-set items of collateral.
181. A system, comprising:
a data collection circuit structured to receive data related to at least one
of a set of parties to a loan;
a smart contract circuit structured to create a smart lending contract for the
loan; and
an automated agent circuit structured to automatically perform a loan-related
action in
response to the received data, wherein the loan-related action is a change in
an interest rate
for the loan, and wherein the smart contract circuit is further structured to
update the smart
lending contract with the changed interest rate.
182. The system of claim 181, wherein the data collection circuit is further
structured to
receive collateral-related data related to a set of items of collateral acting
as security for the
loan and determine a condition of at least one of the set of items of
collateral, wherein the
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change in the interest rate is further based on a condition of the at least
one of the set of items
of collateral.
183. The system of claim 181, wherein the received data comprises an attribute
of the at least
one of the set of parties to the loan, and wherein the change in the interest
rate is based in part
on the attribute.
184. The system of claim 183, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
based on the
attribute; and
modify the smart lending contract to include the at least one of the term or
the condition.
185. The system of claim 184, wherein the at least one of the term or the
condition is
related to a loan component selected from the loan components consisting of: a
loan
party, a loan collateral, a loan-related event, and a loan-related activity.
186. The system of claim 184, wherein the at least one of the term or the
condition is
selected from the list consisting of : a principal amount of the loan, a
balance of the loan, a
fixed interest rate, a variable interest rate description, a payment amount, a
payment schedule,
a balloon payment schedule, a collateral specification, a collateral
substitution description, a
description of a party, a guarantee description, a guarantor description, a
security description,
a personal guarantee, a lien, a foreclosure condition, a default condition, a
consequence of
default, a covenant related to any one of the foregoing, and a duration of any
one of the
foregoing.
187. The system of claim 181, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: an Internet of Things circuit, an
image capture
device, a networked monitoring circuit, an internet monitoring circuit, a
mobile device, a
wearable device, a user interface circuit, and an interactive crowdsourcing
circuit.
188. The system of claim 181, wherein the data collection circuit comprises an
Internet of
Things circuit structured to monitor attributes of at least one of the set of
parties to the loan.
189. The system of claim 181, wherein the data collection circuit comprises a
wearable
device associated with at least one of the set of parties, and wherein the
wearable device is
structured to acquire human-related data, and wherein the received data
includes at least a
portion of the human-related data.
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190. The system of claim 181, wherein the data collection circuit comprises a
user interface
circuit structured to receive data from at least one of the parties of the
loan and provide the
data from at least one of the parties of the loan as a portion of the received
data.
191. The system of claim 181, wherein the data collection circuit comprises an
interactive
crowdsourcing circuit structured to:
solicit data regarding at least one of the set of parties of the loan;
receive solicited data; and
provide at least a subset of the solicited data as a portion of the received
data.
192. The system of claim 181, wherein the data collection circuit further
comprises an
internet monitoring circuit structured to retrieve data related to at least
one of the parties of
the loan from at least one publicly available information site.
193. The system of claim 182, further comprising a valuation circuit
structured to determine,
based on the received data and a valuation model, a value for the at least one
of the set of
items of collateral.
194. The system of claim 193, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
based on the
value for the at least one of the set of items of collateral; and
modify the smart lending contract to include the at least one of the term or
the condition.
195. The system of claim 194, wherein the at least one of the term or the
condition is
related to a loan component selected from the loan components consisting of: a
loan
party, a loan collateral, a loan-related event, and a loan-related activity.
196. The system of claim 194, wherein the at least one of the term or the
condition is
selected from the list consisting of : a principal amount of the loan, a
balance of the loan, a
fixed interest rate, a variable interest rate description, a payment amount, a
payment schedule,
a balloon payment schedule, a collateral specification, a collateral
substitution description, a
description of a party, a guarantee description, a guarantor description, a
security description,
a personal guarantee, a lien, a foreclosure condition, a default condition, a
consequence of
default, a covenant related to any one of the foregoing, and a duration of any
one of the
foregoing.
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197. The system of claim 193, wherein the valuation circuit comprises a
valuation model
improvement circuit, wherein the valuation model improvement circuit modifies
the
valuation model based on a first set of valuation determinations for a first
set of items of
collateral and a corresponding set of loan outcomes having the first set of
items of
collateral as security.
198. The system of claim 197, wherein the valuation model improvement circuit
comprises at least one system from the list of systems consisting of: a
machine learning
system, a model-based system, a rule-based system, a deep learning system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, a simulation
system,
and a hybrid system including at least two of the foregoing.
199. The system of claim 193, wherein the change in the interest rate is
further based on the
value for the at least one of the set of items of collateral.
200. The system of claim 182, further comprising a collateral classification
circuit structured
to identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and at least one of the set of items of collateral share a
common attribute.
201. The system of claim 200, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the item, an age of the item, a
condition of the item, a
history of the item, an ownership of the item, a caretaker of the item, a
security of the item, a
condition of an owner of the item, a lien on the item, a storage condition of
the item, a
geolocation of the item, and a jurisdictional location of the item.
202. The system of claim 193, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for offset
items of collateral relevant to the value of the item of collateral.
203. The system of claim 202, wherein the market value data collection circuit
is further
structured to: monitor one of pricing or financial data for the offset items
of collateral in at
least one public marketplace; and report the monitored one of pricing or
financial data.
204. The system of claim 182, wherein the item of collateral is selected from
the list of items
consisting of : a vehicle, a ship, a plane, a building, a home, a real estate
property, an
undeveloped land property, a farm, a crop, a municipal facility, a warehouse,
a set of
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inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual right,
an antique, a fixture, an item of furniture, a tool, an item of machinery, and
an item of
personal property.
205. The system of claim 181, wherein the loan is of a type selected from
among the loan
types consisting of: an auto loan, an inventory loan, a capital equipment
loan, a bond for
performance, a capital improvement loan, a building loan, a loan backed by an
account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
206. A method, comprising:
receiving data related to at least one of a set of parties to a loan;
creating a smart lending contract for the loan;
performing a loan-related action in response to the received data, wherein the
loan-related
action is a change in an interest rate for the loan; and
updating the smart lending contract with the changed interest rate.
207. The method of claim 206, further comprising:
receiving data related to a set of items of collateral acting as security for
the loan;
determining a condition of at least one of the set of items of collateral;
and
performing a loan-related action in response to the condition of the at
least one of the set of items of collateral, wherein the loan-related action
is a
change in interest rate for the loan.
208. The method of claim 206, further comprising:
receiving data related to a set of items of collateral acting as security for
the loan;
determining a condition of at least one of the set of items of collateral;
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determining at least one of a term or a condition for the smart lending
contract based on the condition of the at least one of the set of items of
collateral; and
modifying the smart lending contract to include the at least one of the
term or the condition.
209. The method of claim 206, further comprising:
identifying a group of off-set items of collateral wherein each member of the
group of off-
set items of collateral and at least one of the set of items of collateral
share a common
attribute; and
monitoring the group of off-set items of collateral in at least one public
marketplace; and
reporting monitored data.
210. The method of claim 209, further comprising changing, based at least in
part on the
monitored group of off-set items of collateral, the interest rate of the loan
secured by at
least one of the set of items of collateral.
211. A system, comprising:
a data collection circuit structured to acquire data, from public sources of
information, related
to at least one party of a set of parties to a loan;
a smart contract circuit structured to create a smart lending contract for the
loan; and
an automated agent circuit structured to automatically perform a loan-related
action in
response to the acquired data, wherein the loan-related action is a change in
an interest rate
for the loan, and wherein the smart contract circuit is further structured to
update the smart
lending contract with the changed interest rate.
212. The system of claim 211, wherein the public sources of information
include at least one
information source selected from the sources consisting of: a website, a news
article, a social
network, and crowdsourced information.
213. The system of claim 211, wherein the acquired data comprises a financial
condition of
the at least one party of the set of parties to the loan.
214. The system of claim 213, wherein the financial condition is determined
based on at
least one attribute of the at least one party of the set of parties to the
loan, the attribute
selected from among the list of attributes consisting of: a publicly stated
valuation of the
party, a set of property owned by the party as indicated by public records, a
valuation of
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a set of property owned by the party, a bankruptcy condition of the party, a
foreclosure
status of the party, a contractual default status of the party, a regulatory
violation status
of the party, a criminal status of the party, an export controls status of the
party, an
embargo status of the party, a tariff status of the party, a tax status of the
party, a credit
report of the party, a credit rating of the party, a website rating of the
party, a set of
customer reviews for a product of the party, a social network rating of the
party, a set of
credentials of the party, a set of referrals of the party, a set of
testimonials for the party, a
set of behavior of the party, a location of the party, a geolocation of the
party, and a
judicial location of the party.
215. The system of claim 211, wherein the at least one party is selected from
a list of
parties consisting of: a primary lender, a secondary lender, a lending
syndicate, a
corporate lender, a government lender, a bank lender, a secured lender, bond
issuer, a
bond purchaser, an unsecured lender, a guarantor, a provider of security, a
borrower, a
debtor, an underwriter, an inspector, an assessor, an auditor, a valuation
professional, a
government official, and an accountant.
216. The system of claim 211, wherein the data collection circuit is further
structured to
receive collateral-related data related to a set of items of collateral acting
as security for
the loan and to determine a condition of at least one of the set of items of
collateral,
wherein the change in the interest rate is further based on the condition of
the at least one
of the set of items of collateral.
217. The system of claim 216, further comprising an automated agent circuit
structured
to identify an event relevant to the loan, based, at least in part, on the
received data.
218. The system of claim 217, wherein the event relevant to the loan comprises
an event
relevant to at least one of: a value of the loan, a condition of collateral of
the loan, or an
ownership of collateral of the loan.
219. The system of claim 218, wherein the automated agent circuit is further
structured to
perform, in response to the event relevant to the loan, an action selected
from the list of
actions consisting of: offering the loan, accepting the loan, underwriting the
loan, setting an
interest rate for the loan, deferring a payment requirement, modifying an
interest rate for the
loan, validating title for at least one of the set of items of collateral,
assessing the value of at
least one of the set of items of collateral , initiating inspection of at
least one of the set of
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items of collateral, setting or modifying terms and conditions for the loan,
providing a
notice to one of the parties, providing a required notice to a borrower of the
loan, and
foreclosing on a property subject to the loan.
220. The system of claim 211, wherein the smart contract circuit is further
structured to
specify terms and conditions in the smart lending contract, wherein one of a
term or a
condition in the smart lending contract governs one of loan-related events or
loan-related
activities.
221. The system of claim 220, wherein the terms and conditions are each
selected from the
list consisting of : a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment
schedule, a party, a guarantee, a guarantor, a security, a personal guarantee,
a lien, a
duration, a covenant, a foreclose condition, a default condition, and a
consequence of
default.
222. The system of claim 211 , wherein the loan comprises a loan type selected
from the loan
types consisting of : an auto loan, an inventory loan, a capital equipment
loan, a bond for
performance, a capital improvement loan, a building loan, a loan backed by an
account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, and a subsidized loan.
223. The system of claim 216, wherein the acquired data is related to one of
the set of
items of collateral selected from the list consisting of: a vehicle, a ship, a
plane, a building,
a home, a real estate property, an undeveloped land property, a farm, a crop,
a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, a tool, an item of
machinery, and an item of personal property.
224. The system of claim 223, further comprising a valuation circuit
structured to determine,
based on the acquired data and a valuation model, a value for at least one of
the set of items
of collateral.
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225. The system of claim 224, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
based on the
value for the at least one of the set of items of collateral; and
modify the smart lending contract to include the at least one of the term or
the condition.
226. The system of claim 225, wherein the valuation circuit comprises a
valuation model
improvement circuit, wherein the valuation model improvement circuit modifies
the
valuation model based on a first set of valuation determinations for a first
set of items of
collateral and a corresponding set of loan outcomes having the first set of
items of
collateral as security.
227. The system of claim 226, wherein the valuation model improvement circuit
comprises at least one system from the list of systems consisting of: a
machine learning
system, a model-based system, a rule-based system, a deep learning system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, a simulation
system,
and a hybrid system including at least two of the foregoing.
228. The system of claim 224, further comprising a collateral classification
circuit structured
to identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and at least one of the set of items of collateral share a
common attribute.
229. The system of claim 228, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the item, an age of the item, a
condition of the item, a
history of the item, an ownership of the item, a caretaker of the item, a
security of the item, a
condition of an owner of the item, a lien on the item, a storage condition of
the item, a
geolocation of the item, and a jurisdictional location of the item.
230. The system of claim 228, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for offset
items of collateral relevant to the value of the item of collateral.
231. The system of claim 230, wherein the market value data collection circuit
is further
structured to: monitor one of pricing or financial data for the offset items
of collateral in at
least one public marketplace; and report the monitored one of pricing or
financial data.
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232. The system of claim 231, wherein the smart contract circuit is further
structured to
modify a term or condition of the loan based on the marketplace information
for offset items
of collateral relevant to the value of the item of collateral.
233. A method, comprising:
acquiring data, from public sources, related to at least one of a set of
parties to a loan, wherein the public sources of information are selected from
the
list of information sources consisting of: a website, a news article, a social
network, and crowdsourced information;
creating a smart lending contract;
performing a loan-related action in response to the acquired data,
wherein the loan-related action is a change in an interest rate for the loan;
and
updating the smart lending contract with the changed interest rate.
234. The method of claim 233, further comprising:
receiving collateral-related data related to a set of items of collateral
acting as security for the loan; and
determining a condition of at least one of the set of items of collateral,
wherein
the change in the interest rate is further based on the condition of the at
least one of the
set of items of collateral.
235. The method of claim 234, further comprising:
identifying an event relevant to the loan based, at least in part, on the
collateral-related data;
and
performing, in response the event relevant to the loan, an action selected
from the list of
actions consisting of: offering the loan, accepting the loan, underwriting the
loan, setting an
interest rate for the loan, deferring a payment requirement, modifying an
interest rate for the
loan, validating title for at least one of the set of items of collateral,
assessing a value of at
least one of the set of items of collateral , initiating inspection of at
least one of the set of
items of collateral, setting or modifying terms and conditions for the loan,
providing a
notice to one of the parties, providing a required notice to a borrower of the
loan, and
foreclosing on a property subject to the loan.
236. The method of claim 234, further comprising determining, based on at
least one of the
collateral-related data or the acquired data, and a valuation model, a value
for at least one of
the set of items of collateral.
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237. The method of claim 236, further comprising determining at least one of a
term or a
condition for the smart lending contract based on the value for the at least
one of the set of
items of collateral.
238. The method of claim 237, further comprising modifying the smart lending
contract to
include the at least one of the term or the condition.
239. The method of claim 236, further comprising modifying the valuation model
based
on a first set of valuation determinations for a first set of items of
collateral and a
corresponding set of loan outcomes having the first set of items of collateral
as security.
240. The method of claim 236, further comprising:
identifying a group of off-set items of collateral, wherein each member of the
group of
off-set items of collateral and at least one of the set of items of collateral
share a common
attribute;
monitoring one of pricing data or financial data for least one of the group
off-set items of
collateral in at least one public marketplace;
reporting the monitored data for the at least one of the group off-set items
of collateral; and
modifying a term or condition of the loan based the reported monitored data.
241. A system, comprising:
a data collection circuit structured to receive data relating to a status of a
loan and
data relating to a set of items of collateral acting as security for the loan;
a blockchain service circuit structured to maintain a secure historical ledger
of
events related to the loan, and to interpret a plurality of access control
features
corresponding to a plurality of parties associated with the loan;
a loan evaluation circuit structured to determine a loan status based on the
received
data;
a smart contract circuit structured to create a smart lending contract for the
loan; and
an automated agent circuit structured to perform a loan-action based on the
loan status;
wherein the blockchain service circuit is further structured to update the
historical
ledger of events with the loan action.
242. The system of claim 241, wherein the data collection circuit is further
structured to
receive data related to one or more loan entities, and wherein the loan
evaluation circuit is
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further structured to determine compliance with a covenant based on the data
related to the
one or more of the loan entities.
243. The system of claim 242, wherein the data collection circuit further
comprises at least
one system for monitoring one or more of the loan entities, the system
selected from the
systems consisting of : an Internet of Things system, a camera system, a
networked
monitoring system, an internet monitoring system, a mobile device system, a
wearable device
system, a user interface system, and an interactive crowdsourcing system.
244. The system of claim 242, wherein the data collection circuit comprises an
interactive
crowdsourcing system comprising a user interface, the user interface
configured to solicit
information related to one or more of the loan entities from a crowdsourcing
site.
245. The system of claim 244, wherein the user interface is structured to
allow one or more
users of the crowdsourcing site to input information about one or more of the
loan entities.
246. The system of claim 242, wherein the data collection circuit comprises a
networked
monitoring system comprising a network search circuit structured to search
publicly available
information sites for information related one or more of the loan entities.
247. The system of claim 243, wherein the loan evaluation circuit is further
structured to
determine a state of performance for a condition of the loan based on the
received data and a
status of the one or more of the loan entities, and wherein the determination
of the loan status
is determined based in part on the status of the at least one or more of the
loan entities and the
state of performance of the condition for the loan.
248. The system of claim 247, wherein the condition of the loan relates to at
least one of a
payment performance and a satisfaction on a covenant.
249. The system of claim 248, wherein the data collection circuit further
comprises a market
data collection circuit structured to receive financial data regarding at
least one of the
plurality of parties associated with the loan.
250. The system of claim 249, wherein the loan evaluation circuit is further
structured to
determine a financial condition of the least one of the plurality of parties
associated with the
loan based on the received financial data.
251. The system of claim 250, wherein the at least one of the plurality of
parties is selected
from a list of parties consisting of: a primary lender, a secondary lender, a
lending syndicate,
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a corporate lender, a government lender, a bank lender, a secured lender, bond
issuer, a bond
purchaser, an unsecured lender, a guarantor, a provider of security, a
borrower, a debtor, an
underwriter, an inspector, an assessor, an auditor, a valuation professional,
a government
official, and an accountant.
252. The system of claim 250, wherein the received financial data relates to
an attribute of an
entity comprising at least one of the plurality of parties, and wherein the
attribute comprises
at least one attribute selected from the list consisting of: a publicly stated
valuation of the
entity, a set of property owned by the entity as indicated by public records,
a valuation of a
set of property owned by the entity, a bankruptcy condition of the entity, a
foreclosure status
of the entity, a contractual default status of the entity, a regulatory
violation status of the
entity, a criminal status of the entity, an export controls status of the
entity, an embargo status
of the entity, a tariff status of the entity, a tax status of the entity, a
credit report of the entity,
a credit rating of the entity, a website rating of the entity, a set of
customer reviews for a
product of the entity, a social network rating of the entity, a set of
credentials of the entity, a
set of referrals of the entity, a set of testimonials for the entity, a set of
behavior of the entity,
a location of the entity, and a geolocation of the entity.
253. The system of claim 241, further comprising a valuation circuit
structured to determine,
based on the received data and a valuation model, a value for at least one of
the set of items
of collateral.
254. The system of claim 253, wherein the smart contract circuit is further
structured to:
determine at least one of a term or a condition for the smart lending contract
based on the
value for the at least one of the set of items of collateral; and
modify the smart lending contract to include the at least one of the term or
the condition.
255. The system of claim 254, wherein the terms and conditions are each
selected from the
list consisting of : a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment schedule, a
party, a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a covenant,
a foreclose condition, a default condition, and a consequence of default.
256. The system of claim 254, wherein the valuation circuit comprises a
valuation model
improvement circuit, wherein the valuation model improvement circuit modifies
the
valuation model based on a first set of valuation determinations for a first
set of items of
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collateral and a corresponding set of loan outcomes having the first set of
items of collateral
as security.
257. The system of claim 256, wherein the valuation model improvement circuit
comprises at
least one system from the list of systems consisting of: a machine learning
system, a model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback neural
network, a self-organizing map, a fuzzy logic system, a random walk system, a
random forest
system, a probabilistic system, a Bayesian system, and a simulation system.
258. The system of claim 253, further comprising a collateral classification
circuit structured
to identify a group of off-set items of collateral, wherein each member of the
group of off-set
items of collateral and at least one of the set of items of collateral share a
common attribute.
259. The system of claim 258, wherein the common attribute is selected from a
list of
attributes consisting of: a category of the item of collateral, an age of the
item of collateral, a
condition of the item of collateral, a history of the item of collateral, an
ownership of the item
of collateral, a caretaker of the item of collateral, a security of the item
of collateral, a
condition of an owner of the item of collateral, a lien on the item of
collateral, a storage
condition of the item of collateral, a geolocation of the item of collateral,
and a jurisdictional
location of the item of collateral.
260. The system of claim 258, wherein the valuation circuit further comprises
a market value
data collection circuit structured to monitor and report marketplace
information for offset
items of collateral relevant to the value of the item of collateral.
261. The system of claim 260, wherein the market value data collection circuit
is further
structured to: monitor one of pricing or financial data for the offset items
of collateral in at
least one public marketplace; and report the monitored one of pricing or
financial data.
262. The system of claim 261, wherein the smart contract circuit is further
structured to
modify a term or condition of the loan based on the marketplace information
for offset items
of collateral relevant to the value of the item of collateral.
263. A method, comprising:
maintaining a secure historical ledger of events related to a loan;
receiving data relating to a status of the loan;
receiving data related to a set of items of collateral acting as security of
the loan;
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determining a status of the loan;
performing a loan-action based on the loan status; and
updating the historical ledger of events related to the loan.
264. The method of claim 263, further comprising:
receiving data related to one or more loan entities related to the loan;
determining compliance with a covenant of the loan based on the data received.
265. The method of claim 264, further comprising determining a state of
performance for a
condition of the loan, wherein the determination of the loan status is based
on part on the
state of performance of the condition of the loan.
266. The method of claim 265, further comprising receiving financial data
related to at least
one party to the loan.
267. The method of claim 266, further comprising determining a financial
condition of the at
least one party to the loan based on the financial data.
268. The method of claim 263, further comprising determining a value for at
least one set of
items of collateral based on the received data and a valuation model.
269. The method of claim 268, further comprising:
determining at least one of a term or a condition for the loan based on the
value of
the at least one of the items of collateral; and
modifying a smart lending contract to include the at least one of the term or
the
condition.
270. The method of claim 268, identifying a group of off-set items of
collateral, wherein each
member of the group of off-set items of collateral and at least one of the set
of items of
collateral share a common attribute; and
receiving data related to the group of off-set items of collateral, wherein
the
determination of the value for the at least one set of items of collateral is
at least partially
based on the received data related to the group of off-set items of
collateral.
271. A system, comprising:
a data collection circuit structured to monitor a status of a loan and of a
collateral for the
loan;
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a smart contract circuit structured automatically initiate at least one of a
substitution, a
removal, or an addition of one or items from the collateral for the loan based
on a smart
lending contract in response to at least one of the status of the loan or the
status of the
collateral for the loan; and
a blockchain service circuit structured to interpret a plurality of access
control features
corresponding to at least one party associated with the loan and record the at
least one of the
substitution, removal, or addition in a distributed ledger for the loan.
272. The system of claim 271, wherein the data collection circuit further
comprises at
least one system selected from the systems consisting of : an Internet of
Things system, a
camera system, a networked monitoring system, an internet monitoring system, a
mobile
device system, a wearable device system, a user interface system, and an
interactive
crowdsourcing system.
273. The system of claim 271, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
274. The system of claim 273, wherein the status of the loan is determined
based on a
status of at least one of an entity related to the loan and a state of a
performance of a
condition for the loan.
275. The system of claim 274, wherein the state of the performance of the
condition
relates to at least one of a payment performance or a satisfaction of a
covenant for the
loan.
276. The system of claim 273, further comprising:
wherein the status of the loan is determined based on a status of at least one
entity
related to the loan and a state of performance of a condition for the loan;
wherein the performance of the condition relates to at least one of a payment
performance or a satisfaction of a covenant for the loan; and
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wherein the data collection circuit is further structured to determine
compliance
with the covenant by monitoring the at least one entity.
277. The system of claim 276, wherein the at least one entity is a party to
the loan, and
wherein the data collection circuit is further structured to monitor a
financial condition of
the at least one entity.
278. The system of claim 277, wherein the condition for the loan comprises a
financial
condition for the loan, and wherein the state of performance of the financial
condition is
determined based on an attribute selected from the attributes consisting of: a
publicly
stated valuation of the at least one entity, a property owned by the at least
one entity as
indicated by public records, a valuation of a property owned by the at least
one entity, a
bankruptcy condition of the at least one entity, a foreclosure status of the
at least one
entity, a contractual default status of the at least one entity, a regulatory
violation status
of the at least one entity, a criminal status of the at least one entity, an
export controls
status of the at least one entity, an embargo status of the at least one
entity, a tariff status
of the at least one entity, a tax status of the at least one entity, a credit
report of the at
least one entity, a credit rating of the at least one entity, a website rating
of the at least
one entity, a plurality of customer reviews for a product of the at least one
entity, a social
network rating of the at least one entity, a plurality of credentials of the
at least one entity,
a plurality of referrals of the at least one entity, a plurality of
testimonials for the at least
one entity, a behavior of the at least one entity, a location of the at least
one entity, a
geolocation of the at least one entity, and a relevant jurisdiction for the at
least one entity.
279. The system of claim 277, wherein the party to the loan comprises at least
one party
selected from the parties consisting of: a primary lender, a secondary lender,
a lending
syndicate, a corporate lender, a government lender, a bank lender, a secured
lender, bond
issuer, a bond purchaser, an unsecured lender, a guarantor, a provider of
security, a
borrower, a debtor, an underwriter, an inspector, an assessor, an auditor, a
valuation
professional, a government official, and an accountant.
280. The system of claim 271, wherein the data monitoring circuit is further
structured to
monitor the status of the collateral of the loan based on at least one
attribute of the collateral
selected from the attributes consisting of : a category of the collateral, an
age of the
collateral, a condition of the collateral, a history of the collateral, a
storage condition of
the collateral, and a geolocation of the collateral.
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281. The system of claim 271, wherein the collateral comprises at least one
item selected
from the items consisting of: a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, an item of
equipment, a tool,
an item of machinery, and an item of personal property.
282. The system of claim 271, further comprising a valuation circuit
structured use a
valuation model to determine a value for the collateral based on the status of
the collateral
for the loan.
283. The system of claim 282, wherein the smart contract circuit is further
structured to
initiate the at least one substitution, removal, or addition of one or more
items from the
collateral for the loan to maintain a value of the collateral within a
predetermined range.
284. The system of claim 282, wherein the valuation circuit further comprises
a
transactions outcome processing circuit structured to interpret outcome data
relating to a
transaction in collateral and iteratively improve the valuation model in
response to the
outcome data.
285. The system of claim 282, wherein the valuation circuit further comprises
a market
value data collection circuit structured to monitor and report on marketplace
information
relevant to a value of the collateral.
286. The system of claim 285, wherein the market value data collection circuit
is further
structured to monitor at least one of pricing data or financial data for an
offset collateral
item in at least one public marketplace.
287. The system of claim 286, wherein the market value data collection circuit
is further
structured to construct a set of offset collateral items for valuing the item
of collateral
using a clustering circuit based on an attribute of the collateral.
288. The system of claim 287, wherein the attribute comprises at least one
attribute selected
from among: a category of the collateral, an age of the collateral, a
condition of the
collateral, a history of the collateral, a storage condition of the
collateral, and a geolocation
of the collateral.
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289. The system of claim 271, wherein the smart lending contract comprises
terms and
conditions for the loan, wherein each of the terms and conditions comprise at
least one
member selected from the group consisting of: a principal amount of debt, a
balance of
debt, a fixed interest rate, a variable interest rate, a payment amount, a
payment schedule,
a balloon payment schedule, a specification of collateral, a specification of
substitutability
of collateral, a party, a guarantee, a guarantor, a security, a personal
guarantee, a lien, a
duration, a covenant, a foreclose condition, a default condition, and a
consequence of
default.
290. The system of claim 271, wherein the smart contract circuit further
comprises a loan
management circuit structured to specify terms and conditions of the smart
lending
contract that governs at least one of: terms and conditions of the loan, a
loan-related
event, or a loan-related activity.
291. A method, comprising:
monitoring a status of a loan and of a collateral for the loan;
automatically initiating at least one of a substitution, a removal, or an
addition of one or more
items from the collateral for the loan based on the at least one of the status
of the loan or the
collateral for the loan; and
interpreting a plurality of access control features corresponding to at least
one party
associated with the loan; and
recording the at least one substitution, removal, or addition in a distributed
ledger for the
loan.
292. The method of claim 291, wherein the status of the loan is determined
based on a
status of at least one of an entity related to the loan or a state of a
performance of a
condition for the loan.
293. The method of claim 291, further comprising determining a value with a
valuation
model for a set of collateral based on at least one of the status of the loan
or the collateral
for the loan.
294. The method of claim 293, wherein the at least one substitution, removal,
or addition
is initiated to maintain a value of the collateral within a predetermined
range.
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295. The method of claim 294, further comprising interpreting outcome data
relating to a
transaction of one of the collateral or an offset collateral and iteratively
improving the
valuation model in response to the outcome data.
296. The method of claim 291, further comprising monitoring and reporting on
marketplace information relevant to a value of the collateral.
297. The method of claim 291, further comprising monitoring at least one of
pricing data
or financial data for an offset collateral item in at least one public
marketplace.
298. The method of claim 291, further comprising specifying terms and
conditions of a
smart contract that governs at least one of terms and conditions for the loan,
a loan-
related event, or a loan-related activity.
299. An apparatus, comprising:
a data collection circuit structured to monitor at least one of a status of a
loan or a status
of a collateral for the loan;
a smart contract circuit structured interpret a smart contract for the loan,
and to adjust at least
one term or condition of the smart contract for the loan in response to the at
least one of the
status of the loan or the status of the collateral for the loan; and
a blockchain service circuit structured to interpret a plurality of access
control features
corresponding to a plurality of parties associated with the loan and record
the adjusted at
least one term or condition of the smart contract for the loan in a
distributed ledger for
the loan.
300. The apparatus of claim 299, wherein the data collection circuit monitors
the status of the
collateral for the loan, the apparatus further comprising a valuation circuit
structured use a
valuation model to determine a value for the collateral based on the status of
the collateral
for the loan, and wherein the smart contract circuit is further structured to
adjust at least
one term or condition of the smart contract for the loan in response to the
value for the
collateral.
301. A system, comprising:
a crowdsourcing request circuit structured to configure at least one parameter
of a
crowdsourcing request related to obtaining information on a condition of a
collateral
for a loan;
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a crowdsourcing publishing circuit configured to publish the crowdsourcing
request to a
group of information suppliers; and
a crowdsourcing communications circuit structured to collect and process at
least one
response from the group of information suppliers, and to provide a reward to
at least one
of the group of information suppliers in response to a successful information
supply
event.
302. The system of claim 301, wherein the crowdsourcing publishing circuit is
further
configured to publish a reward description to at least a portion of the group
of
information suppliers in response to the successful information supply event.
303. The system of claim 301, wherein the crowdsourcing communications circuit
further
comprises a smart contract circuit structured to manage the reward by
detennining the successful
information supply event in response to the at least one parameter configured
for the
crowdsourcing request, and to automatically allocate the reward to the at
least one of the group
of information suppliers in response to the successful information supply
event.
304. The system of claim 301, wherein the loan comprises at least one loan
type selected
from the loan types consisting of: an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement., a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
305. The system of claim 301, wherein the collateral comprises at least one
item selected
from the items consisting of : a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, an item of
equipment, a tool,
an item of machinery, and an item of personal property.
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306. The system of claim 301, wherein the condition of collateral is
determined based on
an attribute selected from the attributes consisting of: a quality of the
collateral, a condition
of the collateral, a status of a title to the collateral, a status of a
possession of the
collateral, and a status of a lien on the collateral.
307. The system of claim 301, wherein the collateral is an item, and wherein
the
condition of the collateral is determined based on an attribute selected from
the attributes
consisting of: a new or used status of the item, a type of the item, a
category of the item, a
specification of the item, a product feature set of the item, a model of the
item, a brand of
the item, a manufacturer of the item, a status of the item, a context of the
item, a state of the
item, a value of the item, a storage location of the item, a geolocation of
the item, an age of
the item, a maintenance history of the item, a usage history of the item, an
accident history
of the item, a fault history of the item, an ownership of the item, an
ownership history of
the item, a price of a type of the item, a value of a type of the item, an
assessment of the
item, and a valuation of the item.
308. The system of claim 301, further comprising a blockchain service circuit
structured
to record identifying information and the at least one parameter of the
crowdsourcing
request, the at least one response to the crowdsourcing request, and a reward
description,
in a distributed ledger for the crowdsourcing request.
309. The system of claim 301, wherein the crowdsourcing request circuit is
further
structured to enable a workflow by which a human user enters the at least one
parameter
to establish the crowdsourcing request.
310. The system of claim 301, wherein the at least one parameter comprises a
type of
requested information, a reward description, and a condition for receiving the
reward.
311. The system of claim 301, wherein the reward is selected from selected
from the
rewards consisting of : a financial reward, a token, a ticket, a contractual
right, a
cryptocurrency amount, a plurality of reward points, a currency amount, a
discount on a
product or service, and an access right.
312. The system of claim 301, further comprising a smart contract circuit
structured to
process the at least one response and, in response, automatically undertake an
action
related to the loan.
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313. The system of claim 312, wherein the action is at least one of a
foreclosure action, a
lien administration action, an interest-rate setting action, a default
initiation action, a
substitution of collateral, or a calling of the loan.
314. The system of claim 301, further comprising a robotic process automation
circuit
structured to, based on training on a training data set comprising human user
interactions
with at least one of the crowdsourcing request circuit or the crowdsourcing
communications circuit, configure the crowdsourcing request based on at least
one
attribute of the loan.
315. The system of claim 314, wherein the at least one attribute of the loan
is obtained
from a smart contract circuit that manages the loan.
316. The system of claim 314, wherein the training data set further comprises
outcomes
from a plurality of crowdsourcing requests.
317. The system of claim 314, wherein the robotic process automation circuit
is further
structured to determine the reward.
318. The system of claim 314, wherein the robotic process automation circuit
is further
structured to determine at least one domain to which the crowdsourcing
publishing
circuit publishes the crowdsourcing request.
319. A method, comprising:
configuring at least one parameter of a crowdsourcing request related to
obtaining
information on a condition of a collateral for a loan;
publishing the crowdsourcing request to a group of information suppliers;
collecting and processing at least one response to the crowdsourcing request;
and
providing a reward to at least one supplier of the group of information
suppliers in
response to a successful information supply event.
320. The method of claim 319, further comprising publishing a reward
description to at
least a portion of the group of information suppliers in response to the
successful
information supply event.
321. The method of claim 319, wherein the reward is automatically allocated to
at least one
of the group of information suppliers in response to the successful
information supply
event.
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322. The method of claim 319, further comprising recording identifying
information and
the at least one parameter of the crowdsourcing request, the at least one
response to the
crowdsourcing request, and a reward description, in a distributed ledger for
the
crowdsourcing request.
323. The method of claim 319, further comprising configuring a graphical user
interface
to enable a workflow by which a human user enters the at least one parameter
to establish
the crowdsourcing request.
324. The method of claim 319, further comprising automatically undertaking an
action
related to the loan in response to the successful information supply event.
325. The method of claim 319, further comprising training a robotic process
automation
circuit on a training data set comprising a plurality of outcomes
corresponding to a
plurality of the crowdsourcing requests, and operating the robotic process
automation
circuit to iteratively improve the crowdsourcing request.
326. The method of claim 325, further comprising providing at least one
attribute of the loan
to the robotic process automation circuit to configure the crowdsourcing
request.
327. The method of claim 326, wherein configuring the crowdsourcing request
comprises
determining the reward.
328. The method of claim 325, further comprising inputting at least one
attribute of the loan
to the robotic process automation circuit to determine at least one domain to
which to publish
the crowdsourcing request.
329. An apparatus, comprising:
a crowdsourcing request circuit structured to provide an interface to enable
configuration of at least one parameter of a crowdsourcing request related to
obtaining
information on a condition of a collateral for a loan;
a crowdsourcing publishing circuit configured to publish the crowdsourcing
request to a
group of information suppliers in response to the crowdsourcing request; and
a crowdsourcing communications circuit structured to provide an interface to
collect at
least one response to the crowdsourcing request from members of the group of
information suppliers, and to provide a reward to at least one of the group of
information
suppliers in response to a successful information supply event.
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330. The apparatus of claim 329, further comprising a smart contract circuit
structured to
manage the reward by determining the successful information supply event in
response to the at
least one parameter configured for the crowdsourcing request, and to
automatically allocate the
reward to the at least one of the group of information suppliers in response
to the successful
information supply event.
331. A system, comprising:
a crowdsourcing request circuit structured to configure at least one parameter
of a
crowdsourcing request related to obtaining information on a condition of a
guarantor
for a loan;
a crowdsourcing publishing circuit configured to publish the crowdsourcing
request to
a group of information suppliers; and
a crowdsourcing communications circuit structured to collect and process at
least one
response from the group of information suppliers, and to provide a reward to
at least
one of the group of information suppliers in response to a successful
information
supply event.
332. The system of claim 331, wherein the condition is a financial condition
of an entity
that is the guarantor for the loan.
333. The system of claim 332, wherein the financial condition is determined at
least in
part based on information about the entity selected from the information
consisting of: a
publicly stated valuation of the entity, a property owned by the entity as
indicated by a
public record, a valuation of a property owned by the entity, a bankruptcy
condition of
the entity, a foreclosure status of the entity, a contractual default status
of the entity, a
regulatory violation status of the entity, a criminal status of the entity, an
export controls
status of the entity, an embargo status of the entity, a tariff status of the
entity, a tax
status of the entity, a credit report of the entity, a credit rating of the
entity, a website
rating of the entity, a plurality of customer reviews for a product of the
entity, a social
network rating of the entity, a plurality of credentials of the entity, a
plurality of referrals
of the entity, a plurality of testimonials for the entity, a plurality of
behaviors of the
entity, a location of the entity, a geolocation of the entity, and a
jurisdiction of the entity.
334. The system of claim 331, wherein the crowdsourcing communications circuit
further
comprises a smart contract circuit structured to manage the reward by
determining the
successful information supply event in response to the at least one parameter
configured for the
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crowdsourcing request, and to automatically allocate the reward to the at
least one of the group
of information suppliers in response to the successful information supply
event.
335. The system of claim 331, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
336. The system of claim 331, wherein the crowdsourcing request circuit is
further
structured to configure at least one further parameter of the crowdsourcing
request to
obtain information on a condition of a collateral for the loan.
337. The system of claim 336, wherein the collateral comprises at least one
item selected
from the items consisting of : a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, an item of
equipment, a tool,
an item of machinery, and an item of personal property.
338. The system of claim 337, wherein the collateral is an item, and wherein
the
condition of the collateral is determined based on an attribute selected from
the attributes
consisting of: a new or used status of the item, a type of the item, a
category of the item, a
specification of the item, a product feature set of the item, a model of the
item, a brand of
the item, a manufacturer of the item, a status of the item, a context of the
item, a state of the
item, a value of the item, a storage location of the item, a geolocation of
the item, an age of
the item, a maintenance history of the item, a usage history of the item, an
accident history
of the item, a fault history of the item, an ownership of the item, an
ownership history of
the item, a price of a type of the item, a value of a type of the item, an
assessment of the
item, and a valuation of the item.
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339. The system of claim 331, further comprising a blockchain service circuit
structured
to record identifying information and the at least one parameter of the
crowdsourcing
request, the at least one response to the crowdsourcing request, and a reward
description in
a distributed ledger for the crowdsourcing request.
340. The system of claim 331, wherein the crowdsourcing request circuit is
further
structured to enable a workflow by which a human user enters the at least one
parameter
to establish the crowdsourcing request.
341. The system of claim 331, wherein the at least one parameter comprises a
type of
requested information, a reward description, and a condition for receiving the
reward.
342. The system of claim 331, wherein the reward is selected from selected
from the
rewards consisting of : a financial reward, a token, a ticket, a contractual
right, a
cryptocurrency amount, a plurality of reward points, a currency amount, a
discount on a
product or service, and an access right.
343. The system of claim 331, further comprising a smart contract circuit
structured to
process the at least one response and, in response, automatically undertake an
action
related to the loan, wherein the action is at least one of a foreclosure
action, a lien
administration action, an interest-rate setting action, a default initiation
action, a
substitution of collateral, and a calling of the loan.
344. The system of claim 331, further comprising a robotic process automation
circuit
structured to, based on training on a training data set comprising human user
interactions
with at least one of the crowdsourcing request circuit or the crowdsourcing
communications circuit, configure the crowdsourcing request based on at least
one
attribute of a loan.
345. The system of claim 344, wherein the at least one attribute of the loan
is obtained
from a smart contract circuit that manages the loan.
346. The system of claim 344, wherein the training data set further comprises
outcomes
from a plurality of crowdsourcing requests.
347. The system of claim 344, wherein the robotic process automation circuit
is further
structured to determine the reward.
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348. The system of claim 344, wherein the robotic process automation circuit
is further
structured to determine at least one domain to which the crowdsourcing
publishing
circuit publishes the crowdsourcing request.
349. A method, comprising:
configuring at least one parameter of a crowdsourcing request related to
obtaining
information on a condition of a guarantor for a loan;
publishing the crowdsourcing request to a group of information suppliers;
collecting and processing at least one response to the crowdsourcing request;
and
providing a reward to at least one supplier of the group of information
suppliers in
response to a successful information supply event.
350. The method of claim 349, further comprising publishing a reward
description to at
least a portion of the group of information suppliers in response to the
successful
information supply event.
351. The method of claim 349, wherein the reward is automatically allocated to
at least one
of the group of information suppliers in response to the successful
information supply
event.
352. The method of claim 349, further comprising recording identifying
information and
the at least one parameter of the crowdsourcing request, the at least one
response to the
crowdsourcing request, and a reward description, in a distributed ledger for
the
crowdsourcing request.
353. The method of claim 349, further comprising configuring a graphical user
interface
to enable a workflow by which a human user enters the at least one parameter
to establish
the crowdsourcing request.
354. The method of claim 349, further comprising automatically undertaking an
action
related to the loan in response to the successful information supply event.
355. The method of claim 349, further comprising, training a robotic process
automation
circuit on a training data set comprising a plurality of outcomes
corresponding to a
plurality of the crowdsourcing requests, and operating the robotic process
automation
circuit to iteratively improve the crowdsourcing request.
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356. The method of claim 355, further comprising, providing at least one
attribute of the
loan to the robotic process automation circuit in order to configure the
crowdsourcing
request.
357. The method of claim 349, wherein configuring the crowdsourcing request
comprises
determining the reward.
358. The method of claim 355, further comprising, inputting at least one
attribute of the loan
to the robotic process automation circuit to determine at least one domain to
which to
publish the crowdsourcing request.
359. An apparatus, comprising:
a crowdsourcing request circuit structured to provide an interface to enable
configuration of at least one parameter of a crowdsourcing request related to
obtaining
information on a condition of a guarantor for a loan;
a crowdsourcing publishing circuit configured to publish the crowdsourcing
request to
a group of information suppliers in response to the crowdsourcing request; and
a crowdsourcing communications circuit structured to provide an interface to
collect at
least one response to the crowdsourcing request from members of the group of
information suppliers, and to provide a reward to at least one of the group of
information suppliers in response to a successful information supply event.
360. The apparatus of claim 359, further comprising a smart contract circuit
structured to
manage the reward by determining the successful information supply event in
response to the at
least one parameter configured for the crowdsourcing request, and to
automatically allocate
the reward to the at least one of the group of information suppliers in
response to the
successful information supply event.
361. A system, comprising:
a data collection circuit structured to determine location information
corresponding to
each one of a plurality of entities involved in a loan;
a jurisdiction definition circuit structured to determine a jurisdiction for
at least one of
the plurality of entities in response to the location information; and
a smart contract circuit structured to automatically undertake a loan-related
action for the
loan based at least in part on the jurisdiction for at least one of the
plurality of
entities.
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362. The system of claim 361, wherein the smart contract circuit is further
structured
to automatically undertake the loan-related action in response to a first one
of the
plurality of entities being in a first jurisdiction, and a second one of the
plurality of
entities being in a second jurisdiction.
363. The system of claim 361, wherein the smart contract circuit is further
structured
to automatically undertake the loan-related action in response to one of the
plurality
of entities moving from a first jurisdiction to a second jurisdiction.
364. The system of claim 361, wherein the loan-related action comprises at
least one
loan-related action selected from the loan-related actions consisting of :
offering the
loan, accepting the loan, underwriting the loan, setting an interest rate for
the loan,
deferring a payment requirement, modifying an interest rate for the loan,
validating
title for collateral, recording a change in title, assessing a value of
collateral,
initiating inspection of collateral, calling the loan, closing the loan,
setting terms and
conditions for the loan, providing notices required to be provided to a
borrower,
foreclosing on property subject to the loan, and modifying terms and
conditions for
the loan.
365. The system of claim 361, wherein the smart contract circuit is further
structured
to process a plurality of jurisdiction-specific regulatory notice requirements
and to
provide an appropriate notice to a borrower based on a jurisdiction
corresponding to at
least one entity selected from the entities consisting of: a lender, a
borrower, funds
provided via the loan, a repayment of the loan, or a collateral for the loan.
366. The system of claim 361, wherein the smart contract circuit is further
structured to
process a plurality of jurisdiction-specific regulatory foreclosure
requirements and to
provide an appropriate foreclosure notice to a borrower based on a
jurisdiction
corresponding to at least one entity selected from the entities consisting of:
a lender, a
borrower, funds provided via the loan, a repayment of the loan, or a
collateral for the
loan.
367. The system of claim 361, wherein the smart contract circuit is further
structured to
process a plurality of jurisdiction-specific rules for setting terms and
conditions of the
loan and to configure a smart contract based on a jurisdiction corresponding
to at least
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one entity selected from the entities consisting of: a borrower, funds
provided via the
loan, a repayment of the loan, and a collateral for the loan.
368. The system of claim 361, wherein the smart contract circuit is further
structured to
determine an interest rate for the loan to cause the loan to comply with a
maximum
interest rate limitation applicable in a jurisdiction corresponding to a
selected one of the
plurality of entities.
369. The system of claim 368, wherein the data collection circuit is further
structured to
monitor a condition of a collateral for the loan, and wherein the smart
contract circuit is further
structured to determine the interest rate for the loan in response to the
condition of the collateral for
the loan.
370. The system of claim 368, wherein the data collection circuit is further
structured to
monitor an attribute of at least one of the plurality of entities that are
party to the loan, and
wherein the smart contract circuit is further structured to determine the
interest rate for
the loan in response to the attribute.
371. The system of claim 368, wherein the smart contract circuit further
comprises a loan
management circuit for specifying terms and conditions of smart contracts that
govern at
least one of loan terms and conditions, loan-related events, or loan-related
activities.
372. The system of claim 368, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
management, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
373. The system of claim 368, wherein terms and conditions for the loan each
comprise at
least one member selected from the group consisting of : a principal amount of
debt, a
balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of substitutability of collateral, a party, a guarantee, a
guarantor, a security, a
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personal guarantee, a lien, a duration, a covenant, a foreclose condition, a
default
condition, and a consequence of default.
374. The system of claim 361, wherein the data collection circuit further
comprises at
least one system selected from the systems consisting of: an Internet of
Things system, a
camera system, a networked monitoring system, an internet monitoring system, a
mobile
device system, a wearable device system, a user interface system, and an
interactive
crowdsourcing system.
375. The system of claim 373, further comprising a valuation circuit
structured to use a
valuation model to determine a value for a collateral for the loan based on
the jurisdiction
corresponding to at least one of the plurality of entities.
376. The system of claim 375, wherein the valuation model is a jurisdiction-
specific
valuation model, and wherein the jurisdiction corresponding to at least one of
the
plurality of entities comprises a jurisdiction corresponding to at least one
entity selected
from the entities consisting of: a lender, a borrower, funds provided pursuant
to the
loan, a delivery location of funds provided pursuant to the loan, a payment of
the loan,
and a collateral for the loan.
377. The system of claim 375, wherein at least one of the terms and conditions
for the loan
is based on the value of the collateral for the loan.
378. The system of claim 375, wherein the collateral comprises at least one
item selected
from the items consisting of: a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, an item of intellectual property, an intellectual
property right, a
contractual right, an antique, a fixture, an item of furniture, an item of
equipment, a tool,
an item of machinery, and an item of personal property.
379. The system of claim 375, wherein the valuation circuit further comprises
a
transactions outcome processing circuit structured to interpret outcome data
relating to a
transaction in collateral and iteratively improve the valuation model in
response to the
outcome data.
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380. The system of claim 375, wherein the valuation circuit further comprises
a market
value data collection circuit structured to monitor and report on marketplace
information
relevant to the value of the collateral.
381. The system of claim 380, wherein the market value data collection circuit
monitors
pricing or financial data for an offset collateral item in at least one public
marketplace.
382. The system of claim 381, wherein a set of offset collateral items for
valuing an item
of collateral is constructed using a clustering circuit based on an attribute
of the collateral.
383. The system of claim 382, wherein the attribute is selected from among: a
category of
the collateral, an age of the collateral, a condition of the collateral, a
history of the collateral,
a storage condition of the collateral, and a geolocation of the collateral.
384. A method, comprising:
monitoring location information corresponding to each one of a plurality of
entities
involved in a loan;
determining a jurisdiction for at least one of the plurality of entities in
response to the
location information;
automatically undertaking a loan-related action for the loan based at least in
part on
the jurisdiction for at least one of the plurality of entities.
385. The method of claim 384, further comprising automatically undertaking the
loan-related action in response to a first one of the plurality of entities
being in a first
jurisdiction, and a second one of the plurality of entities being in a second
jurisdiction.
386. The method of claim 384, further comprising automatically undertaking the
loan-related action in response to one of the plurality of entities moving
from a first
jurisdiction to a second jurisdiction.
387. The method of claim 384, further comprising:
processing a plurality of jurisdiction-specific requirements based on a
jurisdiction of
a relevant one of the plurality of entities, and performing at least one
operation
selected from the operations consisting of:
providing an appropriate notice to a borrower in response to the plurality of
jurisdiction-specific requirements comprising regulatory notice requirements;
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setting specific rules for setting terms and conditions of the loan in
response to the
plurality of jurisdiction-specific requirements comprising jurisdiction-
specific rules
for terms and conditions of the loan;
determining an interest rate for the loan to cause the loan to comply with a
maximum
interest rate limitation in response to the plurality of jurisdiction-specific
requirements comprising a maximum interest rate limitation; and
wherein the relevant one of the plurality of entities comprises at least one
entity
selected from the entities consisting of: a lender, a borrower, funds provided
pursuant to the loan, a repayment of the loan, and a collateral for the loan.
388. The method of claim 384, further comprising monitoring at least one of a
condition
of a plurality of collateral for the loan or an attribute of at least one of
the plurality of entities
that are party to the loan, wherein the condition or the attribute is used to
determine an
interest rate.
389. The method of claim 384, further comprising operating a valuation model
to
determine a value for a collateral for the loan based on the jurisdiction for
at least
one of the plurality of entities.
390. The method of claim 389, further comprising interpreting outcome data
relating to a
transaction in collateral and iteratively improving the valuation model in
response to the
outcome data.
391. A system, comprising:
a data collection circuit structured to monitor and collect information about
at least one
entity involved in a loan; and
a smart contract circuit structured to automatically restructure a debt
related to the loan
based on the monitored and collected information about the at least one entity
involved
in the loan.
392. The system of claim 391, wherein the monitored and collected information
comprises a condition of a collateral for the loan.
393. The system of claim 391, wherein the smart contract circuit is further
structured to
determine an occurrence of an event based on a covenant of the loan and the
monitored
and collected information about the at least one entity involved in the loan,
and to
automatically restructure the debt in response to the occurrence of the event.
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394. The system of claim 393, wherein the event is a failure of collateral for
the loan to
exceed a required fractional value of a remaining balance of the loan.
395. The system of claim 393, wherein the event is a default of a buyer with
respect to the
covenant.
396. The system of claim 391, wherein the monitored and collected information
comprises an attribute of the at least one entity involved in the loan.
397. The system of claim 391, wherein the smart contract circuit further
comprises a loan
management circuit structured to specify terms and conditions of a smart
contract that
governs at least one of: loan terms and conditions, a loan-related event, or a
loan-related
activity.
398. The system of claim 391, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
399. The system of claim 391, wherein terms and conditions for the loan each
comprise at
least one member selected from the group consisting of: a principal amount of
debt, a
balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of substitutability of collateral, a party, a guarantee, a
guarantor, a security,
a personal guarantee, a lien, a duration, a covenant, a foreclose condition, a
default
condition, and a consequence of default.
400. The system of claim 391, wherein the data collection circuit further
comprises at
least one system selected from the systems consisting of : an Internet of
Things system, a
camera system, a networked monitoring system, an internet monitoring system, a
mobile
device system, a wearable device system, a user interface system, and an
interactive
crowdsourcing system.
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401. The system of claim 391, further comprising a valuation circuit
structured to use a
valuation model to determine a value for a collateral based on the monitored
and collected
information about the at least one entity involved in the loan.
402. The system of claim 401, wherein the smart contract circuit is further
structured
to automatically restructure the debt based on the value for the collateral.
403. The system of claim 392, wherein the collateral comprises at least one
item selected
from the items consisting of: a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an
item of jewelry, a gemstone, an item of intellectual property, an intellectual
property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of
equipment, a tool, an item of machinery, and an item of personal property.
404. The system of claim 401, wherein the valuation circuit further comprises
a
transactions outcome processing circuit structured to interpret outcome data
relating to a
transaction in collateral and to iteratively improve the valuation model in
response to the
outcome data.
405. The system of claim 401, wherein the valuation circuit further comprises
a market
value data collection circuit structured to monitor and report on marketplace
information
relevant to a value of collateral.
406. The system of claim 405, wherein the market value data collection circuit
monitors
pricing or financial data for an offset collateral item in at least one public
marketplace.
407. The system of claim 406, wherein a set of offset collateral items for
valuing an item
of collateral is constructed using a clustering circuit based on an attribute
of the collateral.
408. The system of claim 407, wherein the attribute is selected from among: a
category of
the collateral, an age of the collateral, a condition of the collateral, a
history of the collateral,
a storage condition of the collateral, and a geolocation of the collateral.
409. A method, comprising:
monitoring and collecting information about at least one entity involved in a
loan;
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automatically restructuring a debt related to the loan based on the monitored
and
collected information about the at least one entity.
410. The method of claim 409, further comprising determining an occurrence of
an event
based on a covenant of the loan and the monitored and collected information
about the at
least one entity involved in the loan, and automatically restructuring the
debt in response
to the occurrence of the event.
411. The method of claim 409, further comprising specifying terms and
conditions of a
smart contract that governs at least one of loan terms and conditions, a loan-
related
event, or a loan-related activity.
412. The method of claim 409, further comprising operating a valuation model
to
determine a value for a collateral based on the monitored and collected
information about
the at least one entity involved in the loan.
413. The method of claim 412, further comprising interpreting outcome data
relating to a
transaction in collateral and iteratively improving the valuation model in
response to the
outcome data.
414. The method of claim 412, further comprising monitoring and reporting on
marketplace information relevant to the value for the collateral.
415. The method of claim 412, further comprising monitoring pricing or
financial data
for an offset collateral item in at least one public marketplace.
416. The method of claim 415, further comprising constructing a set of offset
collateral
items for valuing the collateral using a similarity clustering algorithm based
on an
attribute of the collateral.
417. An apparatus, comprising:
a data collection circuit structured to monitor and collect information about
at least one
of a borrower or a collateral for a loan; and
a smart contract circuit structured to automatically restructure a debt
related to the loan
based on the monitored and collected information about the at least one of the
borrower
or the collateral for the loan.
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418. The apparatus of claim 417, wherein the data collection circuit is
structured to
monitor and collect information about the collateral for the loan, and wherein
the
monitored and collected information comprises a condition of the collateral
for the loan.
419. The apparatus of claim 418, further comprising a valuation circuit
structured to and
use a valuation model to determine a value for the collateral for the loan
based at least in
part on the condition of the collateral for the loan.
420. The apparatus of claim 419, wherein the valuation circuit further
comprises a
transactions outcome processing circuit structured to interpret outcome data
relating to a
transaction in collateral and iteratively improve the valuation model in
response to the
outcome data.
421. A system, comprising:
a social networking input circuit structured to interpret a loan guarantee
parameter;
a social network data collection circuit structured to collect data using a
plurality of
algorithms that is configured to monitor social network information about an
entity
involved in a loan in response to the loan guarantee parameter; and
a guarantee validation circuit structured to validate a guarantee for the loan
in response
to the monitored social network information.
422. The system of claim 421, wherein the loan guarantee parameter comprises a
financial condition of the entity, wherein the entity is a guarantor for the
loan.
423. The system of claim 422, wherein the guarantee validation circuit is
further
structured to determine the financial condition based on at least one
attribute selected
from the attributes consisting of: a publicly stated valuation of the entity,
a property owned
by the entity as indicated by public records, a valuation of a property owned
by the
entity, a bankruptcy condition of the entity, a foreclosure status of the
entity, a
contractual default status of the entity, a regulatory violation status of the
entity, a
criminal status of the entity, an export controls status of the entity, an
embargo status of
the entity, a tariff status of the entity, a tax status of the entity, a
credit report of the
entity, a credit rating of the entity, a website rating of the entity, a
plurality of customer
reviews for a product of the entity, a social network rating of the entity, a
plurality of
credentials of the entity, a plurality of referrals of the entity, a plurality
of testimonials for
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the entity, a plurality of behaviors of the entity, a location of the entity,
a jurisdiction of
the entity, and a geolocation of the entity.
424. The system of claim 421, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
425. The system of claim 421, further comprising:
a data collection circuit structured to obtain information about a condition
of a collateral
for the loan, wherein the collateral comprises at least one item selected from
the items
consisting of: a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property; and
wherein the guarantee validation circuit is further structured to validate the
guarantee of
the loan in response to the condition of the collateral for the loan.
426. The system of claim 425, wherein the condition of the collateral
comprises a
condition attribute selected from the group consisting of: a quality of the
collateral, a
status of title to the collateral, a status of possession of the collateral, a
status of a lien on
the collateral, a new or used status, a type, a category, a specification, a
product feature
set, a model, a brand, a manufacturer, a status, a context, a state, a value,
a storage
location, a geolocation, an age, a maintenance history, a usage history, an
accident
history, a fault history, an ownership, an ownership history, a price, an
assessment, and a
valuation.
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427. The system of claim 421, wherein the social networking input circuit is
further
structured to enable a workflow by which a human user enters the loan
guarantee
parameter to establish a social network data collection and monitoring
request.
428. The system of claim 421, further comprising a smart contract circuit
structured to
automatically undertake an action related to the loan in response to the
validation of the
loan.
429. The system of claim 428, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises at least
one action
selected from the actions consisting of : a foreclosure action, a lien
administration action,
an interest-rate adjustment action, a default initiation action, a
substitution of collateral, a
calling of the loan, and providing an alert to a second entity involved in the
loan.
430. The system of claim 421, further comprising a robotic process automation
circuit
structured to, based on iteratively training on a training data set comprising
human user
interactions with the social network data collection circuit, configure the
loan guarantee
parameter based on at least one attribute of the loan.
431. The system of claim 430, wherein the at least one attribute of the loan
is obtained
from a smart contract circuit that manages the loan.
432. The system of claim 430, wherein the training data set further comprises
outcomes
from a plurality of social network data collection and monitoring requests
performed by
the social network data collection circuit.
433. The system of claim 430, wherein the robotic process automation circuit
is further
structured to determine at least one domain to which the social network data
collection
circuit will apply.
434. The system of claim 430, wherein the training comprises training the
robotic process
automation circuit to configure the plurality of algorithms.
435. A method, comprising:
interpreting a loan guarantee parameter;
collecting data using a plurality of algorithms that is configured to monitor
social network
information about an entity involved in a loan in response to the loan
guarantee
parameter; and
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validating a guarantee for the loan in response to the monitored social
network
information.
436. The method of claim 435, further comprising enabling a workflow by which
a
human user enters the loan guarantee parameter to establish a social network
data
collection and monitoring request.
437. The method of claim 435, further comprising automatically undertaking an
action
related to the loan in response to the validation of the loan.
438. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises a
foreclosure
action.
439. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises a lien
administration action.
440. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises an
interest-rate
adjustment action.
441. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises a default
initiation
action.
442. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises a
substitution of
collateral.
443. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises a calling
of the
loan.
444. The method of claim 437, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises providing
an alert
to a second entity involved in the loan.
445. The method of claim 435, further comprising iteratively training a
robotic process
automation circuit to configure a data collection and monitoring action based
on at least
one attribute of the loan, wherein the robotic process automation circuit is
trained on a
training data set comprising at least one of outcomes from or human user
interactions
with the plurality of algorithms.
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446. The method of claim 438, further comprising determining at least one
domain to
which the plurality of algorithms will apply.
447. An apparatus, comprising:
a social networking input circuit structured to interpret a loan guarantee
parameter;
a social network data collection circuit structured to collect data using a
plurality of
algorithms that is configured to monitor social network information about a
guarantor of
the loan in response to the loan guarantee parameter; and
a guarantee validation circuit structured to validate a guarantee for the loan
in response
to the monitored social network information.
448. The apparatus of claim 447, further comprising:
a data collection circuit structured to obtain information about a condition
of a collateral
for the loan, wherein the collateral comprises at least one item selected from
the items
consisting of: a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property; and
wherein the guarantee validation circuit is further structured to validate the
guarantee for
the loan in response to the condition of the collateral for the loan.
449. The apparatus of claim 447, wherein the loan guarantee parameter
comprises a
financial condition of the guarantor of the loan, and wherein the guarantee
validation
circuit is further structured to determine the financial condition of the
guarantor of the
loan based on at least one attribute selected from the attributes consisting
of: a publicly
stated valuation of an entity, a set of property owned by the entity as
indicated by public
records, a valuation of a set of property owned by the entity, a bankruptcy
condition of
the entity, a foreclosure status of the entity, a contractual default status
of the entity, a
regulatory violation status of the entity, a criminal status of an entity, an
export controls
status of the entity, an embargo status of the entity, a tariff status of the
entity, a tax status
of the entity, a credit report of the entity, a credit rating of the entity, a
website rating of
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the entity, a set of customer reviews for a product of the entity, a social
network rating of
the entity, a set of credentials of the entity, a set of referrals of the
entity, a set of
testimonials for the entity, a set of behavior of the entity, a location of
the entity, and a
geolocation of the entity.
450. The apparatus of claim 447, wherein the loan comprises at least one loan
type selected
from the loan types consisting of : an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
451. A system, comprising:
an Internet of Things (IoT) data input circuit structured to interpret a loan
guarantee
parameter;
an IoT data collection circuit structured to collect data using at least one
algorithm that
is configured to monitor IoT information collected from and about an entity
involved
in a loan in response to the loan guarantee parameter; and
a guarantee validation circuit structured to validate a guarantee for the loan
in response to
the monitored IoT information.
452. The system of claim 451, wherein the loan guarantee parameter comprises a
financial
condition of the entity, wherein the entity is a guarantor for the loan.
453. The system of claim 452, wherein the monitored IoT information comprises
at least one
of: a publicly stated valuation of the entity, a property owned by the entity
as indicated
by public records, a valuation of a property owned by the entity, a bankruptcy
condition
of the entity, a foreclosure status of the entity, a contractual default
status of the entity, a
regulatory violation status of the entity, a criminal status of the entity, an
export controls
status of the entity, an embargo status of the entity, a tariff status of the
entity, a tax status
of the entity, a credit report of the entity, a credit rating of the entity, a
website rating of
the entity, a plurality of customer reviews for a product of the entity, a
social network
rating of the entity, a plurality of credentials of the entity, a plurality of
referrals of the
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entity, a plurality of testimonials for the entity, a plurality of behaviors
of the entity, a
location of the entity, a jurisdiction of the entity, and a geolocation of the
entity.
454. The system of claim 451, wherein the loan comprises at least one loan
type selected
from the loan types consisting of: an auto loan, an inventory loan, a capital
equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed
by an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay
day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
working capital loan, a small business loan, a farm loan, a municipal bond,
and a
subsidized loan.
455. The system of claim 451, further comprising:
wherein the IoT data collection circuit is further structured to obtain
information
about a condition of a collateral for the loan, wherein the collateral
comprises at least
one item selected from the items consisting of a vehicle, a ship, a plane, a
building, a
home, a real estate property, an undeveloped land, a farm, a crop, a municipal
facility, a
warehouse, a set of inventory, a commodity, a security, a currency, a token of
value, a
ticket, a cryptocurrency, a consumable item, an edible item, a beverage, a
precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property; and
wherein the guarantee validation circuit is further structured to validate the
guarantee of the loan in response to the condition of the collateral for the
loan.
456. The system of claim 455, wherein the condition of the collateral
comprises a
condition attribute selected from the group consisting of a quality of the
collateral, a
status of title to the collateral, a status of possession of the collateral, a
status of a lien on
the collateral, a new or used status, a type, a category, a specification, a
product feature
set, a model, a brand, a manufacturer, a status, a context, a state, a value,
a storage
location, a geolocation, an age, a maintenance history, a usage history, an
accident
history, a fault history, an ownership, an ownership history, a price, an
assessment, and a
valuation.
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457. The system of claim 451, wherein the IoT data collection circuit is
further structured
to enable a workflow by which a human user enters the loan guarantee parameter
to
establish an Internet of Things data collection request.
458. The system of claim 451, further comprising a smart contract circuit
structured to
automatically undertake an action related to the loan in response to the
validation of the
loan.
459. The system of claim 458, wherein the action related to the loan is in
response to the
loan guarantee not being validated, and wherein the action comprises at least
one action
selected from the actions consisting of : a foreclosure action, a lien
administration action,
an interest-rate adjustment action, a default initiation action, a
substitution of collateral, a
calling of the loan, and providing an alert to second entity involved in the
loan.
460. The system of claim 451, further comprising a robotic process automation
circuit
structured to, based on iteratively training on a training data set comprising
human user
interactions with the IoT data collection circuit, configure the loan
guarantee parameter
based on at least one attribute of the loan.
461. The system of claim 460, wherein the at least one attribute of the loan
is obtained
from a smart contract circuit that manages the loan.
462. The system of claim 460, wherein the training data set further comprises
outcomes
from a plurality of IoT data collection and monitoring requests performed by
the IoT data
collection circuit.
463. The system of claim 460, wherein the robotic process automation circuit
is further
structured to determine at least one domain to which the IoT data collection
circuit will
apply.
464. The system of claim 460, wherein the training comprises training the
robotic
process automation circuit to configure the at least one algorithm.
465. A method, comprising:
interpreting a loan guarantee parameter;
collecting data using a plurality of algorithms that is configured to monitor
Internet of
Things (IoT) information collected from and about an entity involved in a loan
in
response to the loan guarantee parameter; and
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validating a guarantee for the loan in response to the monitored IoT
information.
466. The method of claim 465, further comprising configuring the loan
guarantee
parameter to obtain information about a financial condition of the entity,
wherein the
entity is a guarantor for the loan.
467. The method of claim 465, further comprising:
configuring at least one of the plurality of algorithms to obtain information
about
a condition of a collateral for the loan, wherein the collateral comprises at
least one item
selected from the items consisting of a vehicle, a ship, a plane, a building,
a home, a real
estate property, an undeveloped land, a farm, a crop, a municipal facility, a
warehouse,
a set of inventory, a commodity, a security, a currency, a token of value, a
ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an
item of jewelry, a gemstone, an item of intellectual property, an intellectual
property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of
equipment, a tool, an item of machinery, and an item of personal property; and
validating the guarantee for the loan further in response to the condition of
the
collateral for the loan.
468. The method of claim 465, further comprising enabling a workflow by which
a
human user enters a loan guarantee parameter to establish an IoT data
collection request.
469. The method of claim 465, further comprising automatically undertaking an
action
related to the loan in response to the validation of the loan.
470. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises a
foreclosure
action.
471. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises a
lien
administration action.
472. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises an
interest-
rate adjustment action.
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473. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises a
default
initiation action.
474. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises a
substitution
of collateral.
475. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises a
calling of
the loan.
476. The method of claim 469, wherein the action related to the loan is in
response to
the loan guarantee not being validated, and wherein the action comprises
providing an
alert to a second entity involved in the loan.
477. The method of claim 465, further comprising, iteratively training a
robotic
process automation circuit to configure an IoT data collection and monitoring
action
based on at least one attribute of the loan, wherein the robotic process
automation
circuit is trained on a training data set comprising at least one of outcomes
from or
human user interactions with the plurality of algorithms.
478. The method of claim 477, further comprising determining at least one
domain
to which the plurality of algorithms will apply.
479. The method of claim 477, wherein training comprises training the robotic
process automation circuit to configure plurality of algorithms.
480. The method of claim 477, wherein the training data set further comprises
outcomes from a set of IoT data collection and monitoring requests.
481. A system, comprising:
a data collection circuit structured to collect a training set of interactions
from at
least one entity related to at least one loan transaction;
an automated loan classification circuit trained on the training set of
interactions to
classify a at least one loan negotiation action; and
a robotic process automation circuit trained on a training set of a plurality
of loan
negotiation actions classified by the automated loan classification circuit
and a plurality
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of loan transaction outcomes to negotiate terms and conditions of a new loan
on behalf of
a party to the new loan.
482. The system of claim 481, wherein the data collection circuit further
comprises
at least one system selected from the systems consisting of : an Internet of
Things system, a
camera system, a networked monitoring system, an internet monitoring system, a
mobile
device system, a wearable device system, a user interface system, and an
interactive
crowdsourcing system.
483. The system of claim 481, wherein the at least one entity is a party to
the at least one
loan transaction.
484. The system of claim 481, wherein the at least one entity is selected from
the
entities consisting of: a primary lender, a secondary lender, a lending
syndicate, a
corporate lender, a government lender, a bank lender, a secured lender, bond
issuer,
a bond purchaser, an unsecured lender, a guarantor, a provider of security, a
borrower, a debtor, an underwriter, an inspector, an assessor, an auditor, a
valuation
professional, a government official, and an accountant.
485. The system of claim 481, wherein the automated loan classification
circuit
comprises a system selected from the systems consisting of : a machine
learning system,
a model-based system, a rule-based system, a deep learning system, a hybrid
system,
a neural network, a convolutional neural network, a feed forward neural
network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system, a random forest system, a probabilistic system, a Bayesian
system,
and a simulation system.
486. The system of claim 481, wherein the robotic process automation circuit
is further trained on a plurality of interactions of parties with a plurality
of
user interfaces involved in a plurality of lending processes.
487. The system of claim 481, further comprising a smart contract circuit
structured
to automatically configure a smart contract for the new loan based on an
outcome
of the negotiation.
488. The system of claim 487, further comprising a distributed ledger
associated
with the rnvloan, wherein the distributed ledger is structured to record at
least one
of an outcome and a negotiating event of the negotiation.
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489. The system of claim 481, wherein the new loan comprises at least one loan
type
selected from the loan types consisting of : an auto loan, an inventory loan,
a capital
equipment loan, a bond for performance, a capital improvement loan, a building
loan, a
loan backed by an account receivable, an invoice finance arrangement, a
factoring
arrangement, a pay day loan, a refund anticipation loan, a student loan, a
syndicated
loan, a title loan, a home loan, a venture debt loan, a loan of intellectual
property, a
loan of a contractual claim, a working capital loan, a small business loan, a
farm loan,
a municipal bond, and a subsidized loan.
490. The system of claim 481, further comprising a valuation circuit
structured to use a
valuation model to determine a value for a collateral for the new loan.
491. The system of claim 490, wherein the collateral comprises at least one
item selected
from the items consisting of: a vehicle, a ship, a plane, a building, a home,
real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an
item of jewelry, a gemstone, an item of intellectual property, an intellectual
property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of
equipment, a tool, an item of machinery, and an item of personal property.
492. The system of claim 490, wherein the valuation circuit further comprises
a market
value data collection circuit structured to monitor and report on marketplace
information relevant to a value of the collateral.
493. The system of claim 492, wherein the market value data collection circuit
monitors
pricing data or financial data for an offset collateral item in at least one
public
marketplace.
494. The system of claim 493, wherein a set of offset collateral items for
valuing
the collateral is constructed using a clustering circuit based on an attribute
of the
collateral.
495. The system of claim 494, wherein the attribute is selected from among a
category
of the collateral, an age of the collateral, a condition of the collateral, a
history of the
collateral, a storage condition of the collateral, and a geolocation of the
collateral.
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496. The system of claim 481, wherein the terms and conditions for the new
loan
comprise at least one member selected from the group consisting of: a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount,
a payment schedule, a balloon payment schedule, a specification of collateral,
a
specification of substitutability of collateral, a party, a guarantee, a
guarantor, a
security, a personal guarantee, a lien, a duration, a covenant, a foreclose
condition, a
default condition, and a consequence of default.
497. A method, comprising:
collecting a training set of interactions from at least one entity related to
at least
one loan transaction;
training an automated loan classification circuit on the training set of
interactions
to classify at least one loan negotiation action; and
training a robotic process automation circuit on a training set of a plurality
of loan
negotiation actions classified by the automated loan classification circuit
and a plurality
of loan transaction outcomes to negotiate a terms and conditions of a new loan
on behalf
of a party to the new loan.
498. The method of claim 497, further comprising, training the robotic
process automation circuit on a plurality of interactions of parties with a
plurality of user interfaces involved in a plurality of lending processes.
499. The method of claim 497, further comprising, configuring a smart contract
for
the new loan based on an outcome of the negotiation.
500. The method of claim 497, further comprising recording at least one of an
outcome and a negotiating event of the negotiation in a distributed ledger
associated with the rrwloan.
501. The method of claim 497, further comprising, determining a value for a
collateral
for the new loan using a valuation model.
502. The method of claim 501, further comprising monitoring and reporting on
marketplace information relevant to a value of the collateral.
503. The method of claim 501, further comprising constructing a set of offset
collateral items for valuing the collateral using a similarity clustering
algorithm
based on an attribute of the collateral.
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504. An apparatus, comprising:
a data collection circuit structured to collect a training set of interactions
from at
least one entity related to at least one loan transaction;
an automated loan classification circuit trained on the training set of
interactions to
classify at least one loan negotiation action; and
a robotic process automation circuit trained on a training set of a plurality
of loan
negotiation actions classified by the automated loan classification circuit
and a plurality
of loan transaction outcomes to negotiate terms and conditions of a new loan
on behalf of
a party to the new loan; and
wherein the robotic process automation circuit is further structured to
configure a
smart contract for the new loan based on an outcome of the negotiation.
505. The apparatus of claim 504, wherein the data collection circuit further
comprises at least one system selected from the systems consisting of : an
Internet of
Things system, a camera system, a networked monitoring system, an internet
monitoring
system, a mobile device system, a wearable device system, a user interface
system, and an
interactive crowdsourcing system.
506. The apparatus of claim 504, wherein the automated loan classification
circuit
comprises a system selected from the systems consisting of : a machine
learning system,
a model-based system, a rule-based system, a deep learning system, a hybrid
system,
a neural network, a convolutional neural network, a feed forward neural
network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system, a random forest system, a probabilistic system, a Bayesian
system,
and a simulation system.
507. The apparatus of claim 504, wherein the robotic process automation
circuit is further trained on a plurality of interactions of parties with a
plurality of user interfaces involved in a plurality of lending processes.
508. The apparatus of claim 504, wherein the robotic process automation
circuit is
further structured to record an entry in a distributed ledger, wherein the
entry
comprises one of the smart contract or a reference to the smart contract.
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509. The apparatus of claim 504, wherein the robotic process automation
circuit is
further structured to record at least one of an outcome and a negotiating
event of the
negotiation in a distributed ledger associated with the rrwloan.
510. The apparatus of claim 504, further comprising a valuation circuit
structured to use
a valuation model to determine a value for a collateral for the new loan.
511. A system, comprising:
a data collection circuit structured to interpret interactions among entities
corresponding to a plurality of entities related to at least one transaction
of a first set of loans,
wherein the at least one transaction involves a first collection action of a
set of payments
corresponding to the first set of loans;
an artificial intelligence circuit structured to classify the first collection
action, wherein the
artificial intelligence circuit is trained on the interactions corresponding
to the first set of
loans; and
a robotic process automation circuit that is trained on the interactions and a
set of loan
collection outcomes corresponding to the first set of loans to implement a
second loan
collection action on behalf of a party to a second loan.
512. The system of claim 511, wherein the second loan collection action is
selected from
actions consisting of: initiation of a collection process, referral of a loan
to an agent for
collection, configuration of a collection communication, scheduling of a
collection
communication, configuration of content for a collection communication,
configuration of an
offer to settle a loan, termination of a collection action, deferral of a
collection action,
configuration of an offer for an alternative payment schedule, initiation of a
litigation,
initiation of a foreclosure, initiation of a bankruptcy process, initiation of
a repossession
process, and placement of a lien on collateral.
513. The system of claim 511, wherein the set of loan collection outcomes is
selected from
outcomes consisting of: a response to a collection contact event, a payment of
a loan, a
default of a borrower on a loan, a bankruptcy of a borrower of a loan, an
outcome of a
collection litigation, a financial yield of a set of collection actions, a
return on investment on
collection, and a measure of reputation of a party involved in collection.
514. The system of claim 511, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: an Internet of Things system, a
camera system, a
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networked monitoring system, an internet monitoring system, a mobile device
system, a
wearable device system, a user interface system, and an interactive
crowdsourcing system.
515. The system of claim 511, wherein the entities are a set of parties to a
loan transaction.
516. The system of claim 515, wherein the set of parties is selected from
parties consisting of:
a primary lender, a secondary lender, a lending syndicate, a corporate lender,
a government
lender, a bank lender, a secured lender, bond issuer, a bond purchaser, an
unsecured lender, a
guarantor, a provider of security, a borrower, a debtor, an underwriter, an
inspector, an
assessor, an auditor, a valuation professional, a government official, and an
accountant.
517. The system of claim 511, wherein the artificial intelligence circuit
comprises at least one
system selected from systems consisting of: a machine learning system, a model-
based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, and a simulation system.
518. The system of claim 511, wherein the robotic process automation circuit
is trained on a
set of interactions of parties, the system further comprising at least one
user interface
configured to interact with at least one party involved in a set of lending
processes.
519. The system of claim 511, wherein upon completion of negotiation of a
collection
process a smart contract for a loan is automatically configured by a smart
contract circuit
based on the outcome of the negotiation.
520. The system of claim 511, wherein robotic process automation circuit is
structured to
record the set of loan collection outcomes and the first collection action in
a distributed
ledger associated with the first set of loans.
521. The system of claim 511, wherein the second loan comprises at least one
loan selected
from a set of loans consisting of : auto loan, an inventory loan, a capital
equipment loan, a
bond for performance, a capital improvement loan, a building loan, a loan
backed by an
account receivable, an invoice finance arrangement, a factoring arrangement, a
pay day loan,
a refund anticipation loan, a student loan, a syndicated loan, a title loan, a
home loan, a
venture debt loan, a loan of intellectual property, a loan of a contractual
claim, a working
capital loan, a small business loan, a farm loan, a municipal bond, and a
subsidized loan.
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522. The system of claim 511, wherein the artificial intelligence circuit
includes at least one
system from systems consisting of: a machine learning system, a model-based
system, a rule-
based system, a deep learning system, a hybrid system, a neural network, a
convolutional
neural network, a feed forward neural network, a feedback neural network, a
self-organizing
map, a fuzzy logic system, a random walk system, a random forest system, a
probabilistic
system, a Bayesian system, and a simulation system.
523. The system of claim 511, wherein the entities each comprise at least one
entity selected
from the entities consisting of : a lender, a borrower, a guarantor, equipment
related to the
first set of loans, goods related to the first set of loans, a system related
to the first set of
loans, a fixture related to the first set of loans, a building, a storage
facility, and an item of
collateral.
524. The system of claim 511, wherein robotic process automation circuit is
structured to
record the second loan collection action in a distributed ledger associated
with the second
loan.
525. The system of claim 511, wherein the first collection action is selected
from the actions
consisting of: an initiation of a collection process, a referral of a loan to
an agent for
collection, a configuration of a collection communication, a scheduling of a
collection
communication, a configuration of content for a collection communication, a
configuration of
an offer to settle a loan, a termination of a collection action, a deferral of
a collection action, a
configuration of an offer for an alternative payment schedule, an initiation
of a litigation, an
initiation of a foreclosure, an initiation of a bankruptcy process, an
initiation of a repossession
process, and a placement of a lien on collateral.
526. A method, comprising:
interpreting a plurality of interactions among entities corresponding to a
plurality of
entities related to at least one transaction of a first set of loans, wherein
the at least one
transaction involves a first collection action of a set of payments
corresponding to the first set
of loans;
classifying the first collection action based at least in part on the
plurality of
interactions; and
specifying, based at least in part on the plurality of interactions and a set
of loan
collection outcomes corresponding to the first set of loans, a second loan
collection action on
behalf of a party to a second loan.
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527. The method of claim 526, wherein the second loan collection action
comprises at least
one of initiation of a collection process, configuration of a collection
communication, or
scheduling of a collection action.
528. The method of claim 526, wherein the second loan collection action
comprises at least
one of referral of a loan to an agent for collection, configuration of an
offer to settle the
second loan, or configuration of content for a collection communication.
529. The method of claim 526, wherein the second loan collection action
comprises at least
one of termination of a collection action, deferral of a collection action, or
configuration of an
offer for an alternative payment schedule.
530. The method of claim 526, wherein the second loan collection action
comprises at least
one of initiation of a litigation, initiation of a foreclosure, or initiation
of a bankruptcy
process.
531. The method of claim 526, wherein the second loan collection action
comprises at least
one of initiation of a repossession process or placement of a lien on
collateral of the second
loan.
532. The method of claim 526, wherein the set of loan collection outcomes is
selected from
outcomes consisting of: a response to a collection contact event, a payment of
a loan, a
default of a borrower on a loan, a bankruptcy of a borrower of a loan, an
outcome of a
collection litigation, a financial yield of a set of collection actions, a
return on investment on
collection, and a measure of reputation of a party involved in collection.
533. The method of claim 526, wherein upon completion of negotiation of a
collection
process a smart contract for a loan is automatically configured by a set of
smart contract
services based on the outcome of the negotiation.
534. The method of claim 526, further comprising recording at least one of the
set of loan
collection outcomes in a distributed ledger associated with the first set of
loans.
535. The method of claim 526, further comprising providing a user interface to
a party of the
second loan, and notifying the party of the second loan of the specified
second collection
action.
536. The method of claim 535, further comprising initiating the specified
second collection
action in response to an input from the party of the second loan to the user
interface.
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537. The method of claim 526, further comprising recording the second loan
collection action
in a distributed ledger associated with the second loan.
538. The method of claim 526, wherein the first loan collection action
comprises at least one
of initiation of a collection process, configuration of a collection
communication, or
scheduling of a collection action, referral of a loan to an agent for
collection, configuration of
an offer to settle the second loan, or configuration of content for a
collection communication.
539. The method of claim 526, wherein the first loan collection action
comprises at least one
of termination of a collection action, deferral of a collection action, or
configuration of an
offer for an alternative payment schedule.
540. The method of claim 526, wherein the first loan collection action
comprises at least one
of initiation of a litigation, initiation of a foreclosure, or initiation of a
bankruptcy process,
initiation of a repossession process, or placement of a lien on collateral of
the second loan.
541. A system, comprising:
a data collection circuit structured to collect a training set of loan
interactions between
entities, wherein the training set of loan interactions comprises a set of
loan refinancing
activities and a set of loan refinancing outcomes;
an artificial intelligence circuit structured to classify the set of loan
refinancing activities,
wherein the artificial intelligence circuit is trained on the training set of
loan interactions; and
a robotic process automation circuit structured to perform a second loan
refinancing activity
on behalf of a party to a second loan, wherein the robotic process automation
circuit is trained
on the set of loan refinancing activities and the set of loan refinancing
outcomes.
542. The system of claim 541, wherein at least one loan refinancing activity
of the set of
loan refinancing activities is selected from a group consisting of: initiating
an offer to
refinance, initiating a request to refinance, configuring a refinancing
interest rate, configuring
a refinancing payment schedule, configuring a refinancing balance, configuring
collateral for
a refinancing, managing use of proceeds of a refinancing, removing or placing
a lien
associated with a refinancing, verifying title for a refinancing, managing an
inspection
process, populating an application, negotiating terms and conditions for a
refinancing, or
closing a refinancing.
543. The system of claim 541, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: Internet of Things systems that
monitor the
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entities, a set of cameras that monitor the entities, a set of software
services that pull
information related to the entities from publicly available information sites,
a set of mobile
devices that report on information related to the entities, a set of wearable
devices worn by
human entities, a set of user interfaces by which entities provide information
about the
entities and a set of crowdsourcing services configured to solicit and report
information
related to the entities.
544. The system of claim 541, wherein at least one entity of the entities is a
party to at least
one loan refinancing activity of the set of loan refinancing activities.
545. The system of claim 544, wherein the party is at least one party selected
from a group
consisting of: a primary lender, a secondary lender, a lending syndicate, a
corporate lender, a
government lender, a bank lender, , a secured lender, bond issuer, a bond
purchaser, an
unsecured lender, a guarantor, a provider of security, a borrower, a debtor,
an underwriter, an
inspector, an assessor, an auditor, a valuation professional, a government
official, or an
accountant.
546. The system of claim 541, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
547. The system of claim 541, further comprising an interface circuit
structured to receive
interactions from at least one of the entities and wherein the robotic process
automation
circuit is further trained on the interactions.
548. The system of claim 541, further comprising a smart contract circuit
structured to
determine completion of the second loan refinancing activity, and to modify a
smart
refinance contract based on an outcome of the second loan refinancing
activity.
549. The system of claim 541, further comprising a distributed ledger circuit
structured to
determine an event associated with the second loan refinancing activity, and
to record, in a
distributed ledger associated with the second loan, the event associated with
the second
loan refinancing activity.
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550. The system of claim 541, wherein the second loan comprises at least one
loan selected
from a group consisting of: an auto loan, an inventory loan, a capital
equipment loan, a bond
for performance, a capital improvement loan, a building loan, a loan backed by
an account
receivable, an invoice finance arrangement, a factoring arrangement, a pay day
loan, a refund
anticipation loan, a student loan, a syndicated loan, a title loan, a home
loan, a venture debt
loan, a loan of intellectual property, a loan of a contractual claim, a
working capital loan, a
small business loan, a farm loan, a municipal bond, or a subsidized loan.
551. The system of claim 541, wherein the artificial intelligence circuit
includes at least
one system from systems consisting of: a machine learning system, a model-
based system, a
rule-based system, a deep learning system, a hybrid system, a neural network,
a convolutional
neural network, a feed forward neural network, a feedback neural network, a
self-organizing
map, a fuzzy logic system, a random walk system, a random forest system, a
probabilistic
system, a Bayesian system, and a simulation system.
552. A method, comprising:
collecting a training set of loan interactions between entities, wherein the
training set of loan
interactions comprises a set of loan refinancing activities and a set of loan
refinancing
outcomes;
classifying the set of loan refinancing activities based at least in part on
the training set of
loan interactions; and
specifying a second loan refinancing activity on behalf of a party to a second
loan based at
least in part on the set of loan refinancing activities and the set of loan
refinancing outcomes.
553. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises initiating an offer to refinance.
554. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises initiating a request to refinance.
555. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises configuring a refinancing interest rate.
556. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises configuring a refinancing payment
schedule.
557. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises configuring a refinancing balance.
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558. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises configuring collateral for a
refinancing.
559. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises managing use of proceeds of a
refinancing.
560. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises removing or placing a lien associated
with a
refinancing.
561. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises verifying title for a refinancing.
562. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises managing an inspection process.
563. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises populating an application.
564. The method of claim 552, wherein at least one loan refinancing activity
of the set of
loan refinancing activities comprises negotiating terms and conditions for a
refinancing.
565. The method of claim 552, wherein at least one entity of the entities is a
party to at
least one loan refinancing activity of the set of loan refinancing activities.
566. The method of claim 552, further comprising receiving interactions from
at least one
of the entities, and wherein the classifying is further trained on the
interactions.
567. The method of claim 552, wherein the party is at least one party selected
from a group
consisting of: a primary lender, a secondary lender, a lending syndicate, a
corporate lender, a
government lender, a bank lender, , a secured lender, bond issuer, a bond
purchaser, an
unsecured lender, a guarantor, a provider of security, a borrower, a debtor,
an underwriter, an
inspector, an assessor, an auditor, a valuation professional, a government
official, or an
accountant.
568. The method of claim 552, further comprising:
determining completion of the second loan refinancing activity; and
modifying a smart refinance contract based on an outcome of the second loan
refinancing
activity.
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569. The method of claim 568, further comprising recording, in a distributed
ledger
associated with the second loan, one of the modified smart refinance contract
or a reference
to the modified smart refinance contract.
570. The method of claim 552, further comprising:
determining an event associated with the second loan refinancing activity; and
recording, in a distributed ledger associated with the second loan, the event
associated
with the second loan refinancing activity.
571. A system, comprising:
a data collection circuit structured to collect a training set of loan
interactions between
entities, wherein the training set of loan interactions comprises a set of
loan consolidation
transactions;
an artificial intelligence circuit structured to classify a set of loans as
candidates for
consolidation, wherein the artificial intelligence circuit is trained on the
training set of loan
interactions;
a robotic process automation circuit structured to manage a consolidation of
at least a subset
of the set of loans on behalf of a party to the consolidation, wherein the
robotic process
automation circuit is trained on the set of loan consolidation transactions.
572. The system of claim 571, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: Internet of Things systems that
monitor the
entities, a set of cameras that monitor the entities, a set of software
services that pull
information related to the entities from publicly available information sites,
a set of mobile
devices that report on information related to the entities, a set of wearable
devices worn by
human entities, a set of user interfaces by which entities provide information
about the
entities and a set of crowdsourcing services configured to solicit and report
information
related to the entities.
573. The system of claim 571, wherein the set of loans that are classified as
candidates for
consolidation are determined based on a model that processes attributes of the
entities; and
wherein each of the attributes comprises at least one attribute selected from
a group
consisting of: identity of a party, interest rate, payment balance, payment
terms, payment
schedule, type of loan, type of collateral, financial condition of party,
payment status,
condition of collateral, or value of collateral.
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574. The system of claim 571, wherein the robotic process automation circuit
is further
structured to manage the consolidation utilizing at least one operation
selected from a group
consisting of: identification of loans from a set of candidate loans,
preparation of a
consolidation offer, preparation of a consolidation plan, preparation of
content
communicating a consolidation offer, scheduling a consolidation offer,
communicating a
consolidation offer, negotiating a modification of a consolidation offer,
preparing a
consolidation agreement, executing a consolidation agreement, modifying
collateral for a set
of loans, handling an application workflow for consolidation, managing an
inspection,
managing an assessment, setting an interest rate, deferring a payment
requirement, setting a
payment schedule, or closing a consolidation agreement.
575. The system of claim 571, wherein at least one entity of the entities is a
party to at least
one loan consolidation transaction of the set of loan consolidation
transactions.
576. The system of claim 575, wherein the party is at least one party selected
from a group
consisting of: a primary lender, a secondary lender, a lending syndicate, a
corporate lender, a
government lender, a bank lender, , a secured lender, bond issuer, a bond
purchaser, an
unsecured lender, a guarantor, a provider of security, a borrower, a debtor,
an underwriter, an
inspector, an assessor, an auditor, a valuation professional, a government
official, or an
accountant.
577. The system of claim 571, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
578. The system of claim 576, further comprising an interface circuit
structured to receive
interactions from the party and wherein the robotic process automation circuit
is further
trained on the interactions from the party.
579. The system of claim 571, further comprising a smart contract circuit
structured to:
determine completion of a negotiation of the consolidation of at least one
loan from the
subset of the set of loans; and
modify a smart consolidation contract based on an outcome of the negotiation.
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580. The system of claim 571, further comprising a distributed ledger circuit
structured to
determine at least one of an outcome or a negotiation event associated with
the consolidation
of at least the subset of the set of loans; and
record, in a distributed ledger associated with the subset of the set of
loans, the at least one of
the outcome or the negotiation event associated with the consolidation.
581. The system of claim 571, wherein at least one loan from the subset of the
set of loans
is selected from a group consisting of: an auto loan, an inventory loan, a
capital equipment
loan, a bond for performance, a capital improvement loan, a building loan, a
loan backed by
an account receivable, an invoice finance arrangement, a factoring
arrangement, a pay day
loan, a refund anticipation loan, a student loan, a syndicated loan, a title
loan, a home loan, a
venture debt loan, a loan of intellectual property, a loan of a contractual
claim, a working
capital loan, a small business loan, a farm loan, a municipal bond, or a
subsidized loan.
582. The system of claim 571, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
583. A method, comprising:
collecting a training set of loan interactions between entities, wherein the
training set of loan
interactions comprises a set of loan consolidation transactions;
classifying a set of loans as candidates for consolidation based at least in
part on the training
set of loan interactions; and
managing a consolidation of at least a subset of the set of loans on behalf of
a party to the
consolidation based at least in part on the set of loan consolidation
transactions.
584. The method of claim 583, further comprising:
wherein classifying the set of loans as candidates for consolidation is based
on a model that
processes attributes of the entities; and
wherein each of the attributes comprises at least one attribute selected from
a group
consisting of: identity of a party, interest rate, payment balance, payment
terms, payment
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schedule, type of loan, type of collateral, financial condition of party,
payment status,
condition of collateral, or value of collateral.
585. The method of claim 583, wherein the managing the consolidation comprises
identifying loans from a set of candidate loans.
586. The method of claim 583, wherein the managing the consolidation comprises
preparing
a consolidation offer.
587. The method of claim 583, wherein the managing the consolidation comprises
preparing
of a consolidation plan.
588. The method of claim 583, wherein the managing the consolidation comprises
preparing
of content communicating a consolidation offer.
589. The method of claim 583, wherein the managing the consolidation comprises
scheduling
a consolidation offer.
590. The method of claim 583, wherein the managing the consolidation comprises
communicating a consolidation offer.
591. The method of claim 583, wherein the managing the consolidation comprises
at least
one of negotiating a modification of a consolidation offer or preparing a
consolidation
agreement.
592. The method of claim 583, wherein the managing the consolidation comprises
executing
a consolidation agreement.
593. The method of claim 583, wherein the managing the consolidation comprises
modifying
collateral for the at least a subset of the set of loans.
594. The method of claim 583, wherein the managing the consolidation comprises
handling
an application workflow for consolidation.
595. The method of claim 583, wherein the managing the consolidation comprises
managing
at least one of an inspection or an assessment.
596. The method of claim 583, wherein the managing the consolidation comprises
setting an
interest rate.
597. The method of claim 583, wherein the managing the consolidation comprises
at least
one of deferring a payment requirement or setting a payment schedule.
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598. The method of claim 583, wherein the managing the consolidation comprises
closing a
consolidation agreement.
599. The method of claim 583, further comprising:
determining completion of a negotiation of the consolidation of at least one
loan from the
subset of the set of loans; and
modifying a smart consolidation contract based on an outcome of the
negotiation.
600. The method of claim 583, further comprising:
determining at least one of an outcome and a negotiation event associated with
the
consolidation of at least the subset of the set of loans; and
recording, in a distributed ledger associated with the subset of the set of
loans, at least one of
the outcome and the negotiation event associated with the consolidation.
601. A system, comprising:
a data collection circuit structured to collect information about entities
involved in a set of
factoring loans and a training set of interactions between entities for the
set of factoring loan
transactions;
an artificial intelligence circuit structured to classify the entities
involved in the set of
factoring loans, wherein the artificial intelligence circuit is trained on the
training set of
interactions;
a robotic process automation circuit structured to manage a factoring loan,
wherein the
robotic process automation circuit is trained on the set of factoring loan
interactions.
602. The system of claim 601, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: Internet of Things systems that
monitor the
entities, a set of cameras that monitor the entities, a set of software
services that pull
information related to the entities from publicly available information sites,
a set of mobile
devices that report on information related to the entities, a set of wearable
devices worn by
human entities, a set of user interfaces by which entities provide information
about the
entities and a set of crowdsourcing services configured to solicit and report
information
related to the entities.
603. The system of claim 601, wherein the artificial intelligence circuit is
further structured
to use a model that processes attributes of entities involved in the set of
factoring loans.
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604. The system of claim 603, wherein at least one of the attributes comprises
assets used for
factoring.
605. The system of claim 603, wherein at least one of the attributes comprises
at least one of
an identity of a party, an interest rate, a payment balance, or payment terms.
606. The system of claim 603, wherein at least one of the attributes comprises
at least one of
a type of loan, a type of collateral, a financial condition of a party, a
payment status, a
condition of collateral, or a value of collateral.
607. The system of claim 604, wherein the assets used for factoring include a
set of
accounts receivable.
608. The system of claim 601, wherein the robotic process automation circuit
is further
structured to manage the factoring utilizing at least one operation selected
from a group
consisting of: managing at least one of a set of assets for factoring,
identification of loans for
factoring from a set of candidate loans, preparation of a factoring offer,
preparation of a
factoring plan, preparation of content communicating a factoring offer,
scheduling a factoring
offer, communicating a factoring offer, negotiating a modification of a
factoring offer,
preparing a factoring agreement, executing a factoring agreement, modifying
collateral for a
set of factoring loans, handing transfer of a set of accounts receivable,
handling an
application workflow for factoring, managing an inspection, managing an
assessment of a set
of assets to be factored, setting an interest rate, deferring a payment
requirement, setting a
payment schedule, or dosing a factoring agreement
609. The system of claim 601, wherein at least one entity of the entities is a
party to at least
one factoring loan transaction of the set of factoring loan transactions.
610. The system of claim 609, wherein the party is at least one party selected
from parties
consisting of: a primary lender, a secondary lender, a lending syndicate, a
corporate lender, a
government lender, a bank lender, , a secured lender, bond issuer, a bond
purchaser, an
unsecured lender, a guarantor, a provider of security, a borrower, a debtor,
an underwriter, an
inspector, an assessor, an auditor, a valuation professional, a government
official, and an
accountant.
611. The system of claim 601, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
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convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
612. The system of claim 610, further comprising an interface circuit
structured to receive
interactions from the party and wherein the robotic process automation circuit
is further
trained on the interactions from the party.
613. The system of claim 601, further comprising a smart contract circuit
structured to
determine completion of a negotiation of the factoring loan; and modify a
smart factoring
loan contract based on an outcome of the negotiation.
614. The system of claim 610, further comprising a distributed ledger circuit
structured to
determine at least one of an outcome and a negotiation event associated with
the negotiation
of the factoring loan; and record, in a distributed ledger associated with the
factoring loan, at
least one of the outcome and the negotiation event associated with the
factoring loan.
615. The system of claim 601, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
616. A method, comprising:
collecting information about entities involved in a set of factoring loans and
a training set of
interactions between entities for a set of factoring loan transactions;
classifying the entities involved in the set of factoring loans based at least
in part on the
training set of interactions; and
managing a factoring loan based at least in part on the set of factoring loan
interactions.
617. The method of claim 616, classifying the entities involved in the set of
factoring loans
is based on a model that processes attributes of entities involved in the set
of factoring loans;
and wherein at least one attribute selected from a group consisting of:
identity of a party,
interest rate, payment balance, payment terms, payment schedule, type of loan,
type of
collateral, financial condition of party, payment status, condition of
collateral, or value of
collateral.
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618. The method of claim 616, wherein at least one managing the factoring loan
comprises
managing at least one of a set of assets for factoring.
619. The method of claim 616, wherein the managing the factoring comprises
identifying
loans for factoring from a set of candidate loans.
620. The method of claim 616, wherein the managing the factoring comprises
preparing at
least one of a factoring offer, a factoring plan, or content communicating a
factoring offer.
621. The method of claim 616, wherein the managing the factoring comprises at
least one of
communicating a factoring offer or scheduling a factoring offer.
622. The method of claim 616, wherein the managing the factoring comprises at
least one of
negotiating a modification of a factoring offer or preparing a factoring
agreement.
623. The method of claim 616, wherein the managing the factoring comprises
executing a
factoring agreement
624. The method of claim 616, wherein the managing the factoring comprises
modifying
collateral for the factoring loan.
625. The method of claim 616, wherein the managing the factoring comprises
handling at
least one of a transfer of a set of accounts receivable or an application
workflow for factoring.
626. The method of claim 616, wherein the managing the factoring comprises at
least one of
managing an inspection or managing an assessment of a set of assets to be
factored.
627. The method of claim 616, wherein the managing the factoring comprises
setting at least
one of an interest rate or a payment schedule.
628. The method of claim 616, wherein the managing the factoring comprises at
least one of
deferring a payment requirement or dosing a factoring agreement.
629. The method of claim 616, further comprising:
determining completion of a negotiation of the factoring loan; and
modifying a smart factoring loan contract based on an outcome of the
negotiation.
630. The method of claim 629, further comprising:
determining at least one of an outcome and a negotiation event associated with
the
negotiation of the factoring loan; and
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recording, in a distributed ledger associated with the factoring loan, at
least one of the
outcome and the negotiation event associated with the factoring loan.
631. A system, comprising:
a data collection circuit structured to collect information about entities
involved in a set of
mortgage loan activities and a training set of interactions between entities
for a set of
mortgage loan transactions;
an artificial intelligence circuit structured to classify the entities
involved in the set of
mortgage loan activities and the set of mortgage loan transactions, wherein
the artificial
intelligence circuit is trained on the training set of interactions;
a robotic process automation circuit is structured broker a mortgage loan,
wherein the robotic
process automation circuit is trained on at least one of the set of mortgage
loan activities and
the training set of interactions.
632. The system of claim 631, wherein at least one of the set of mortgage loan
activities
and the set of mortgage loan transactions includes activities selected from a
group consisting
of: marketing activity, identification of a set of prospective borrowers,
identification of
property, identification of collateral, qualification of borrower, title
search, title verification,
property assessment, property inspection, property valuation, income
verification, borrower
demographic analysis, identification of capital providers, determination of
available interest
rates, determination of available payment terms and conditions, analysis of
existing
mortgage, comparative analysis of existing and new mortgage terms, completion
of
application workflow, population of fields of application, preparation of
mortgage agreement,
completion of schedule to mortgage agreement, negotiation of mortgage terms
and conditions
with capital provider, negotiation of mortgage terms and conditions with
borrower, transfer of
title, placement of lien, or closing of mortgage agreement.
633. The system of claim 631, wherein the data collection circuit comprises at
least one
system selected from systems consisting of: Internet of Things systems that
monitor the
entities, a set of cameras that monitor the entities, a set of software
services that pull
information related to the entities from publicly available information sites,
a set of mobile
devices that report on information related to the entities, a set of wearable
devices worn by
human entities, a set of user interfaces by which entities provide information
about the
entities and a set of crowdsourcing services configured to solicit and report
information
related to the entities.
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634. The system of claim 631, wherein the artificial intelligence circuit is
further structured
to use a model that processes attributes of entities involved in the set of
mortgage loan
activities; and wherein each of the attributes comprises at least one
attribute selected from a
group consisting of: properties that are subject to mortgages, assets used for
collateral,
identity of a party, interest rate, payment balance, payment terms, payment
schedule, type of
mortgage, type of property, financial condition of party, payment status,
condition of
property, or value of property.
635. The system of claim 631, wherein the robotic process automation circuit
is further
structured to broker the mortgage loan by performing at least one activity
selected from a
group consisting of: managing at least one of a property that is subject to a
mortgage,
identification of candidate mortgages from a set of borrower situations,
preparation of a
mortgage offer, preparation of content communicating a mortgage offer,
scheduling a
mortgage offer, communicating a mortgage offer, negotiating a modification of
a mortgage
offer, preparing a mortgage agreement, executing a mortgage agreement,
modifying collateral
for a set of mortgage loans, handing transfer of a lien, handling an
application workflow,
managing an inspection, managing an assessment of a set of assets to be
subject to a
mortgage, setting an interest rate, deferring a payment requirement, setting a
payment
schedule, or closing a mortgage agreement.
636. The system of claim 631, wherein at least one entity of the entities is a
party to at least
one mortgage loan transaction of the set of mortgage loan transactions.
637. The system of claim 636, wherein the party is at least one party selected
from parties
consisting of: a primary lender, a secondary lender, a lending syndicate, a
corporate lender, a
government lender, a bank lender, , a secured lender, bond issuer, a bond
purchaser, an
unsecured lender, a guarantor, a provider of security, a borrower, a debtor,
an underwriter, an
inspector, an assessor, an auditor, a valuation professional, a government
official, and an
accountant.
638. The system of claim 631, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
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639. The system of claim 636, further comprising an interface circuit
structured to receive
interactions from the party, and wherein the robotic process automation
circuit is further
trained on the interactions from the party.
640. The system of claim 631, further comprising a smart contract circuit
structured to
determine completion of a negotiation of the mortgage loan; and modify a smart
factoring
loan contract based on an outcome of the negotiation.
641. The system of claim 640, further comprising a distributed ledger circuit
structured to
determine at least one of an outcome and a negotiation event associated with
the negotiation
of the mortgage loan; and record, in a distributed ledger associated with the
mortgage loan, at
least one of the outcome and the negotiation event associated with the
mortgage loan.
642. The system of claim 631, wherein the artificial intelligence circuit
comprises at least
one system selected from systems consisting of: a machine learning system, a
model-based
system, a rule-based system, a deep learning system, a hybrid system, a neural
network, a
convolutional neural network, a feed forward neural network, a feedback neural
network, a
self-organizing map, a fuzzy logic system, a random walk system, a random
forest system, a
probabilistic system, a Bayesian system, or a simulation system.
643. A method, comprising:
collecting information about entities involved in a set of mortgage loan
activities and a
training set of interactions between entities for a set of mortgage loan
transactions;
classifying the entities involved in the set of mortgage loan activities based
at least in part on
the training set of interactions; and
brokering a mortgage loan based at least in part on at least one of the set of
mortgage loan
activities and the training set of interactions.
644. The method of claim 643, wherein classifying the entities involved in the
set of
mortgage loan activities is based on a model that processes attributes of
entities involved in
the set of mortgage loan activities; and wherein at least one of the
attributes is selected from a
group consisting of: properties that are subject to mortgages, assets used for
collateral,
identity of a party, interest rate, payment balance, payment terms, payment
schedule, type of
mortgage, type of property, financial condition of party, payment status,
condition of
property, or value of property.
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.645. The method of claim 643, wherein the brokering the mortgage loan
comprises
managing at least one of a property that is subject to a mortgage.
646. The method of claim 643, wherein the brokering the mortgage loan
comprises
identifying candidate mortgages from a set of borrower situations.
647. The method of claim 643, wherein the brokering the mortgage loan
comprises preparing
at least one of a mortgage offer, a mortgage agreement, or content
communicating a mortgage
offer.
648. The method of claim 643, wherein the brokering the mortgage loan
comprises
scheduling a mortgage offer.
649. The method of claim 643, wherein the brokering the mortgage loan
comprises
communicating a mortgage offer.
650. The method of claim 643, wherein the brokering the mortgage loan
comprises
negotiating a modification of a mortgage offer.
651. The method of claim 643, wherein the brokering the mortgage loan
comprises executing
a mortgage offer.
652. The method of claim 643, wherein the brokering the mortgage loan
comprises at least
one of modifying collateral for the set of mortgage loan transactions or
handling a transfer of
a lien.
653. The method of claim 643, wherein the brokering the mortgage loan
comprises handling
an application workflow.
654. The method of claim 643, wherein the brokering the mortgage loan
comprises managing
at least one of an inspection or an assessment of a set of assets to be
subject to a mortgage.
655. The method of claim 643, wherein the brokering the mortgage loan
comprises setting an
interest rate for a mortgage.
656. The method of claim 643, wherein the brokering the mortgage loan
comprises deferring
a payment requirement for a mortgage offer.
657. The method of claim 643, wherein the brokering the mortgage loan
comprises setting a
payment schedule for a mortgage.
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658. The method of claim 643, wherein the brokering the mortgage loan
comprises closing a
mortgage agreement.
659. The method of claim 643, further comprising:
determining completion of a negotiation of the mortgage loan; and
modifying a smart factoring loan contract based on an outcome of the
negotiation.
660. The method of claim 659, further comprising:
determining at least one of an outcome and a negotiation event associated with
the
negotiation of the mortgage loan; and
recording, in a distributed ledger associated with the mortgage loan, at least
one of the
outcome and the negotiation event associated with the mortgage loan.
661. A system, comprising:
a data collection circuit structured to collect information about entities
involved in a set of
debt transactions, a training data set of outcomes related to the entities,
and a training set of
debt management activities;
a condition classifying circuit structured to classify a condition of at least
one entity of the
entities, wherein the condition classifying circuit comprises a model and a
set of artificial
intelligence circuits, and wherein the model is trained using the training
data set of outcomes
related to the entities; and
an automated debt management circuit structured to manage an action related to
a debt,
wherein the automated debt management circuit is trained on the training set
of debt
management activities.
662. The system of claim 661, wherein the data collection circuit comprises at
least one
system selected from a group consisting of: Internet of Things devices, a set
of environmental
condition sensors, a set of crowdsourcing services, a set of social network
analytic services,
or a set of algorithms for querying network domains.
663. The system of claim 661, wherein at least one debt transaction of the set
of debt
transactions is selected from a group consisting of: an auto loan, an
inventory loan, a capital
equipment loan, a bond for performance, a capital improvement loan, a building
loan, a loan
backed by an account receivable, an invoice finance arrangement, a factoring
arrangement, a
pay day loan, a refund anticipation loan, a student loan, a syndicated loan, a
title loan, a home
loan, a venture debt loan, a loan of intellectual property, a loan of a
contractual claim, a
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working capital loan, a small business loan, a farm loan, a municipal bond, or
a subsidized
loan.
664. The system of claim 661, wherein the entities involved in the set of debt
transactions
include at least one of set of parties and a set of assets.
665. The system of claim 664, wherein at least one asset from the set of
assets includes an
asset selected from a group consisting of: municipal asset, a vehicle, a ship,
a plane, a
building, a home, real estate property, undeveloped land, a farm, a crop, a
municipal facility,
a warehouse, a set of inventory, a commodity, a security, a currency, a token
of value, a
ticket, a cryptocurrency, a consumable item, an edible item, a beverage, a
precious metal, an
item of jewelry, a gemstone, intellectual property, an intellectual property
right, a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, or an item of personal property.
666. The system of claim 665, further comprising:
a set of sensors, each one of the set of sensors positioned on at least one of
: at least
one asset from the set of assets, a container for least one asset from the set
of assets, or a
package for at last one asset from the set of assets, and wherein the set of
sensors are each
configured to associate sensor information sensed by the set of sensors with a
unique
identifier for the at least one asset from the set of assets; and
at least one block chain circuit structured to receive information from the
data collection
circuit and the set of sensors, and to store the information in a blockchain,
and a secure access
control interface circuit structured to provide access to the blockchain a
party for a debt
transaction involving the at least one asset from the set of assets.
667. The system of claim 666, wherein at least one sensor from the set of
sensors is selected
from a group consisting of: image, temperature, pressure, humidity, velocity,
acceleration,
rotational, torque, weight, chemical, magnetic field, electrical field, or
position.
668. The system of claim 664, further comprising an automated agent circuit
structured to
process events relevant to at least one of a value, a condition, or an
ownership of at least one
asset of the set of assets, and further structured to undertake a set of
actions related to a debt
transaction to which the asset is related.
669. The system of claim 668, wherein at least one action of the set of
actions is selected
from a group consisting of: offering a debt transaction, underwriting a debt
transaction,
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setting an interest rate, deferring a payment requirement, modifying an
interest rate,
validating title, managing inspection, recording a change in title, assessing
the value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms and
conditions, setting a rating for an entity, syndicating debt, or consolidating
debt.
670. The system of claim 661, wherein at least one artificial intelligence
circuit from the set
of artificial intelligence circuits includes at least one system selected from
a group consisting
of: a machine learning system, a model-based system, a rule-based system, a
deep learning
system, a hybrid system, a neural network, a convolutional neural network, a
feed forward
neural network, a feedback neural network, a self-organizing map, a fuzzy
logic system, a
random walk system, a random forest system, a probabilistic system, a Bayesian
system, and
a simulation system.
671. The system of claim 661, further comprising an interface circuit
structured to receive
interactions from at least one of the entities and wherein the automated debt
management
circuit is further trained on the interactions.
672. The system of claim 671, wherein at least one debt management activity
from the
training set of debt management activities includes at least one activity
selected from a group
consisting of: offering a debt transaction, underwriting a debt transaction,
setting an interest
rate, deferring a payment requirement, modifying an interest rate, validating
title, managing
inspection, recording a change in title, assessing a value of an asset,
calling a loan, closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating debt, and consolidating debt.
673. The system of claim 661, further comprising a market value data
collection circuit
structured to monitor and report marketplace information relevant to a value
of a of at least
one asset of a set of assets.
674. The system of claim 673, wherein at least one asset from the set of
assets is selected
from group consisting of: a municipal asset, a vehicle, a ship, a plane, a
building, a home, real
estate property, undeveloped land, a farm, a crop, a municipal facility, a
warehouse, a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
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gemstone, intellectual property, an intellectual property right, a contractual
right, an antique,
a fixture, an item of furniture, an item of equipment, a tool, an item of
machinery, and an
item of personal property.
675. The system of claim 673, wherein the market value data collection circuit
is further
structured to monitor at least one pricing and financial data for items that
are similar to at
least one asset in the set of assets in at least one public marketplace.
676. The system of claim 675, wherein a set of similar items for valuing at
least one asset
from the set of assets is constructed using a similarity clustering algorithm
based on attributes
of the assets.
677. The system of claim 676, wherein at least one attribute of the attributes
of the assets is
selected from a group consisting of: a category of assets, asset age, asset
condition, asset
history, asset storage, and geolocation of assets.
678. The system of claim 661, further comprising a smart contract circuit
structured to
manage a smart contract for a debt transaction.
679. The system of claim 678, wherein the smart contract circuit is further
structured to
establish a set of terms and conditions for the debt transaction.
680. The system of claim 679, wherein at least one of the terms and conditions
of the set of
terms and conditions for the debt transaction is selected from a group
consisting of: a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of
collateral, a specification of substitutability of collateral, a party, a
guarantee, a guarantor, a
security, a personal guarantee, a lien, a duration, a covenant, a foreclose
condition, a default
condition, and a consequence of default.
681. A method, comprising:
collecting information about entities involved in a set of debt transactions,
training data set of
outcomes related to the entities, and a training set of debt management
activities;
classifying a condition of at least one entity of the entities based at least
in part the training
data set of outcomes related to the entities; and
managing an action related to a debt based at least in part on the training
set of debt
management activities.
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682. The method of claim 681, wherein the entities involved in the set of debt
transactions
include a set of parties and a set of assets.
683. The method of claim 682, further comprising:
receiving information from a set of sensors, each positioned on at least one
of an
asset, a container for at least one asset, or a package for at least one
asset, and wherein the set
of sensors are configured to associate sensor information sensed by the set of
sensors with a
unique identifier for the at least one asset; and
storing the information received from the sensors in a blockchain, wherein
access to
the blockchain is provided via a secure access control interface for a party
for a debt
transaction involving the at least one asset.
684. The method of claim 682, further comprising:
processing events relevant to at least one of a value, a condition, or an
ownership of at
least one asset of the set of assets; and
processing a set of actions related to a debt transaction to which the asset
is related.
685. The method of claim 681, further comprising:
receiving interactions from at least one of the entities.
686. The method of claim 681, further comprising:
monitoring and reporting marketplace information relevant to a value of a of
at least
one asset of a set of assets.
687. The method of claim 686, wherein monitoring further comprises monitoring
at least one
pricing and financial data for items that are similar to at least one asset in
the set of assets in
at least one public marketplace.
688. The method of claim 687, further comprising:
constructing, using a similarity clustering algorithm based on attributes of
the assets, a
set of similar items for valuing at least one asset from the set of assets.
689. The method of claim 681, further comprising:
managing a smart contract for a debt transaction.
690. The method of claim 689, further comprising
establishing a set of terms and conditions for the smart contract for the debt
transaction.
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691. A system, comprising:
a crowdsourcing data collection circuit structured to collect information
about entities
involved in a set of bond transactions and a training data set of outcomes
related to the
entities;
a condition classifying circuit structured to classify a condition of a set of
issuers using the
information from the crowdsourcing data collection circuit and a model,
wherein the model is
trained using the training data set of outcomes related to the set of issuers;
and
automated agent circuit is further structured to perform an action related to
a debt transaction
in response to the classified condition of at least one issuer of the set of
issuers.
692. The system of claim 691, wherein at least one entity from the entities is
selected from
a group consisting of: a set of entities includes entities among a set of
issuers, a set of bonds,
a set of parties, and a set of assets.
693. The system of claim 692, wherein at least one issuer from the set of
issuers is selected
from a group consisting of: a municipality, a corporation, a contractor, a
government entity, a
non-governmental entity, and a non-profit entity.
694. The system of claim 692, wherein at least one bond from the set of bonds
is selected
from a group consisting of: a municipal bond, a government bond, a treasury
bond, an asset-
backed bond, and a corporate bond.
695. The system of claim 691, wherein the condition classified by the
condition classifying
circuit is selected from a group consisting of: a default condition, a
foreclosure condition, a
condition indicating violation of a covenant, a financial risk condition, a
behavioral risk
condition, a policy risk condition, a financial health condition, a physical
defect condition, a
physical health condition, an entity risk condition, and an entity health
condition.
696. The system of claim 691, wherein the crowdsourcing data collection
circuit is
structured to enable a user interface by which a user may configure a
crowdsourcing request
for information relevant to the condition of the set of issuers.
697. The system of claim 691, further comprising a configurable data
collection and
monitoring circuit structured to monitor at least one issuer from the set of
issuers, wherein the
configurable data collection and monitoring circuit includes a system selected
from a group
consisting of: Internet of Things devices, a set of environmental condition
sensors, a set of
social network analytic services, or a set of algorithms for querying network
domains.
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698. The system of claim 697, wherein the configurable data collection and
monitoring
circuit is structured to monitor at least one environment selected from the
group consisting of:
a municipal environment, a corporate environment, a securities trading
environment, a real
property environment, a commercial facility, a warehousing facility, a
transportation
environment, a manufacturing environment, a storage environment, a home, or a
vehicle.
699. The system of claim 697, wherein a set of bonds associated with the set
of bond
transactions is backed by a set of assets.
700. The system of claim 699, wherein at least one asset from the set of
assets includes
assets selected from the group consisting of: municipal asset, a vehicle, a
ship, a plane, a
building, a home, real estate property, undeveloped land, a farm, a crop, a
municipal facility,
a warehouse, a set of inventory, a commodity, a security, a currency, a token
of value, a
ticket, a cryptocurrency, a consumable item, an edible item, a beverage, a
precious metal, an
item of jewelry, a gemstone, intellectual property, an intellectual property
right, a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, or an item of personal property.
701. The system of claim 691, wherein the automated agent circuit is further
structured to
processes events relevant to at least one of a value, a condition, and an
ownership of at least
one asset of the at least one issuer of the set of issuers, and to perform the
action related to the
debt transaction in response to at least one of the processed events.
702. The system of claim 701, wherein the action is selected from a group
consisting of:
offering a debt transaction, underwriting a debt transaction, setting an
interest rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating debt, or consolidating debt.
703. The system of claim 691, wherein the condition classifying circuit
includes a system
selected from a group consisting of: a machine learning system, a model-based
system, a
rule-based system, a deep learning system, a hybrid system, a neural network,
a convolutional
neural network, a feed forward neural network, a feedback neural network, a
self-organizing
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map, a fuzzy logic system, a random walk system, a random forest system, a
probabilistic
system, a Bayesian system, or a simulation system.
704. The system of claim 691, further comprising an automated bond management
circuit
configured to manage an action related to a bond related to the at least one
issuer of the set of
issuers, and wherein the automated bond management circuit is trained on a
training set of
bond management activities.
705. The system of claim 704, wherein the automated bond management circuit is
further
trained on a set of interactions of parties with a set of user interfaces
involved in a set of bond
transaction activities.
706. The system of claim 704, wherein at least one bond transaction from the
set of bond
transaction includes activities selected from a group consisting of: a debt
transaction,
underwriting a debt transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
assessing a value of an asset, calling a loan, closing a transaction, setting
terms and
conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
assets, modifying terms and conditions, setting a rating for an entity,
syndicating debt, or
consolidating debt.
707. The system of claim 691, further comprising a market value data
collection circuit
structured to monitor and reports on marketplace information relevant to a
value of at least
one of the issuer or a set of assets.
708. The system of claim 707, wherein reporting is on a at least one asset
from the set of
assets selected from a group consisting of: a municipal asset, a vehicle, a
ship, a plane, a
building, a home, real estate property, undeveloped land, a farm, a crop, a
municipal facility,
a warehouse, a set of inventory, a commodity, a security, a currency, a token
of value, a
ticket, a cryptocurrency, a consumable item, an edible item, a beverage, a
precious metal, an
item of jewelry, a gemstone, intellectual property, an intellectual property
right, a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, or an item of personal property.
709. The system of claim 708, wherein the market value data collection circuit
is structured
to monitor pricing or financial data for items that are similar to the at
least one asset in at
least one public marketplace.
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710. The system of claim 709, wherein the market value data collection circuit
is further
structured to construct a set of similar items for valuing the assets using a
similarity
clustering algorithm based on attributes of the assets.
711. The system of claim 710, wherein at least one attribute from the
attributes is selected
from a group consisting of: a category of the assets, asset age, asset
condition, asset history,
asset storage, or geolocation of assets.
712. The system of claim 691, further comprising a smart contract circuit
structured for
managing a smart contract for a bond transaction in response to the classified
condition of the
at least one issuer of the set of issuers.
713. The system of claim 712, wherein the smart contract circuit is structured
to determine
a set of terms and conditions for the bond.
714. The system of claim 713, wherein at least one term and condition from the
set of
terms and conditions for the debt transaction that is specified and managed by
the set of smart
contract circuits is selected from a group consisting of: a principal amount
of debt, a balance
of debt, a fixed interest rate, a variable interest rate, a payment amount, a
payment schedule, a
balloon payment schedule, a specification of assets that back the bond, a
specification of
substitutability of assets, a party, an issuer, a purchaser, a guarantee, a
guarantor, a security, a
personal guarantee, a lien, a duration, a covenant, a foreclose condition, a
default condition,
or a consequence of default.
715. A method, comprising:
collecting information about entities involved in a set of bond transactions
of a set of bonds
and a training data set of outcomes related to the entities;
classifying a condition of a set of issuers using the collected information
and a model,
wherein the model is trained using the training data set of outcomes related
to the set of
issuers; and
performing an action related to a debt transaction in response to the
classified condition of at
least one issuer of the set of issuers.
716. The method of claim 715, further comprising:
processing events relevant to at least one of a value, a condition, and an
ownership of
at least one asset related to the at least one issuer of the set of issuers;
and
performing an action related to a debt transaction to which the at least asset
is related.
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717. The method of claim 715, further comprising:
managing an action related to a bond related to the at least one issuer of the
set of
issuers based at least in part a training set of bond management activities.
718. The method of claim 715, further comprising:
monitoring and reporting on marketplace information relevant to a value of at
least
one of the issuer and a set of assets.
719. The method of claim 715, further comprising:
managing a smart contract for a bond transaction.
720. The method of claim 719, further comprising:
determining terms and conditions for the smart contract for at least one bond.
721. A system, comprising:
a social network data collection circuit structured to collect information
about at
least one entity involved in at least one transaction comprising at least one
bond; and
a condition classifying circuit structured to classify a condition of the at
least one
entity in accordance with a model and based on information from the social
network data
collection circuit, wherein the model is trained using a training data set of
a plurality of
outcomes related to the at least one entity; and
an automated bond management circuit structured to manage an action related to
the at least one bond in response to the classified condition of the at least
one entity.
722. The system of claim 721, further comprising a smart contract circuit
structured to
manage a smart contract for the at least one transaction.
723. The system of claim 721, wherein the at least one entity is selected from
the entities
consisting of: a bond issuer, a bond, a party, and an asset.
724. The system of claim 721, wherein the at least one entity comprises a bond
issuer
selected from the bond issuers consisting of: a municipality, a corporation, a
contractor, a
government entity, a non-governmental entity, and a non-profit entity.
725. The system of claim 721, wherein the at least one bond is selected from
the entities
consisting of: a municipal bond, a government bond, a treasury bond, an asset-
backed
bond, and a corporate bond.
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726. The system of claim 721, wherein the condition classified by the
condition
classifying circuit comprises at least one condition selected from the
conditions
consisting of: a default condition, a foreclosure condition, a condition
indicating
violation of a covenant, a financial risk condition, a behavioral risk
condition, a policy
risk condition, a financial health condition, a physical defect condition, a
physical health
condition, an entity risk condition, and an entity health condition.
727. The system of claim 721, wherein the social network data collection
circuit further
comprises a social networking input circuit structured to receive input from a
user, and to
configure a query for information about the at least one entity in response to
the received
input.
728. The system of claim 721, further comprising:
a data collection circuit structured to monitor at least one of an Internet of
Things
device, an environmental condition sensor, a crowdsourcing request circuit, a
crowdsourcing communication circuit, a crowdsourcing publishing circuit, and
an
algorithm for querying network domains; and
wherein the condition classifying circuit is further structured to classify
the
condition in response to the information from the data collection circuit.
729. The system of claim 728, further comprising:
wherein the data collection circuit is further structured to monitor an
environment
selected from the group consisting of: a municipal environment, a corporate
environment, a securities trading environment, a real property environment, a
commercial facility, a warehousing facility, a transportation environment, a
manufacturing environment, a storage environment, a home, and a vehicle; and
wherein the condition classifying circuit is further structured to classify
the
condition in response to the monitored environment.
730. The system of claim 721, wherein the at least one bond is backed by at
least one
asset.
731. The system of claim 730, wherein the at least one asset is selected from
the assets
consisting of: a municipal asset, a vehicle, a ship, a plane, a building, a
home, real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
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inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.
732. The system of claim 731, further comprising an event processing circuit
structured
to process an event relevant to at least one of a value, a condition, or an
ownership of the
at least one asset, and to undertake an action related to the at least one
transaction in
response to the event.
733. The system of claim 732, wherein the action is selected from the actions
consisting
of: a bond transaction, underwriting a bond transaction, setting an interest
rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to
be provided, foreclosing on a set of assets, modifying terms and conditions,
setting a
rating for an entity, syndicating bonds, and consolidating bonds.
734. The system of claim 721, wherein the condition classifying circuit
comprises a
system selected from the systems consisting of: a machine learning system, a
model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, and a
simulation
system.
735. The system of claim 721, wherein the automated bond management circuit is
trained on a training data set of a plurality of bond management activities.
736. The system of claim 735, wherein the automated bond management circuit is
trained on a plurality of interactions of parties with a plurality of user
interfaces involved
in a plurality of bond transaction activities.
737. The system of claim 736, wherein the plurality of bond transaction
activities is
selected from the bond transaction activities consisting of: offering a bond
transaction,
underwriting a bond transaction, setting an interest rate, deferring a payment
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requirement, modifying an interest rate, validating title, managing
inspection, recording a
change in title, assessing a value of an asset, calling a loan, closing a
transaction, setting
terms and conditions for a transaction, providing notices required to be
provided,
foreclosing on a set of assets, modifying terms and conditions, setting a
rating for an
entity, syndicating bonds, and consolidating bonds.
738. The system of claim 721, further comprising a market value data
collection circuit
structured to monitor and report on marketplace information relevant to a
value of at
least one of a bond issuer, the at least one bond, and an asset related to the
at least one
bond.
739. The system of claim 738, wherein the asset is selected from the assets
consisting of:
a municipal asset, a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, intellectual property, an intellectual property right, a contractual
right, an
antique, a fixture, an item of furniture, an item of equipment, a tool, an
item of
machinery, and an item of personal property.
740. The system of claim 739, wherein the market value data collection circuit
is further
structured to monitor pricing or financial data for an offset asset item in at
least one
public marketplace.
741. The system of claim 740, further comprising a clustering circuit
structured to
construct a set of offset asset items for valuing the asset based on an
attribute of the asset.
742. The system of claim 741, wherein the attribute is selected from the
attributes
consisting of: a category, an asset age, an asset condition, an asset history,
an asset
storage, and a geolocation.
743. The system of claim 722, wherein the smart contract circuit is further
structured to
determine terms and conditions for the at least one bond.
744. The system of claim 743, wherein the terms and conditions are selected
from the
group consisting of: a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment
schedule, a specification of assets that back the at least one bond, a
specification of
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substitutability of assets, a party, an issuer, a purchaser, a guarantee, a
guarantor, a
security, a personal guarantee, a lien, a duration, a covenant, a foreclose
condition, a
default condition, and a consequence of default.
745. A method, comprising
collecting social network information about at least one entity involved in at
least
one transaction comprising at least one bond; and
classifying a condition of the at least one entity in accordance with a model
and
based on the social network information, wherein the model is trained using a
training
data set of a plurality of outcomes related to the at least one entity; and
managing an action related to the at least one bond in response to the
classified
condition of the at least one entity.
746. The method of claim 745, further comprising, processing an event relevant
to at
least one of a value, a condition. or an ownership of at least one asset
related to the at
least one bond, and undertaking an action related to the at least one
transaction in
response to the event.
747. The method of claim 745, further comprising, training an automated bond
management circuit on a training set of a plurality of bond management
activities to
manage an action related to the at least one bond, and wherein managing the
action
comprises operating the automated bond management circuit.
748. The method of claim 745, further comprising, monitoring and reporting on
marketplace information relevant to a value of at least one of a bond issuer,
the at least
one bond, and an asset.
749. An apparatus, comprising:
a social network data collection circuit structured to collect information
about at
least one entity involved in at least one transaction comprising at least one
bond; and
a condition classifying circuit structured to classify a condition of the at
least one
entity in accordance with a model and based on information from the social
network data
collection circuit, wherein the model is trained using a training data set of
a plurality of
outcomes related to the at least one entity; and
a smart contract circuit structured to manage a smart contract for the at
least one
transaction in response to the classified condition of the at least one
entity.
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750. The apparatus of claim 749, further comprising an event processing
circuit
structured to process an event relevant to at least one of a value, a
condition, or an
ownership of at least one asset related to the at least one bond, and to
undertake an action
related to the at least one transaction in response to the event.
751. A system, comprising:
an Internet of Things data collection circuit structured to collect
information about
at least one entity involved in at least one transaction comprising at least
one bond; and
a condition classifying circuit structured to classify a condition of the at
least one
entity in accordance with a model and based on information from the Internet
of Things
data collection circuit, wherein the model is trained using a training data
set of a plurality
outcomes related to the at least one entity; and
an event processing circuit structured undertake an action related to the at
least
one transaction in response to the classified condition of the at least one
entity.
752. The system of claim 751, wherein the at least one entity is selected from
the entities
consisting of: a bond issuer, a bond, a party, and an asset.
753. The system of claim 752, wherein the bond issuer is selected from the
bond issuers
consisting of: a municipality, a corporation, a contractor, a government
entity, a non-
governmental entity, and a non-profit entity.
754. The system of claim 752, wherein the at least one bond is selected from
the entities
consisting of: a municipal bond, a government bond, a treasury bond, an asset-
backed
bond, and a corporate bond.
755. The system of claim 751, wherein the condition classified by the
condition
classifying circuit comprises at least one of a default condition, a
foreclosure condition, a
condition indicating violation of a covenant, a financial risk condition, a
behavioral risk
condition, a policy risk condition, a financial health condition, a physical
defect
condition, a physical health condition, an entity risk condition, or an entity
health
condition.
756. The system of claim 751, wherein the Internet of Things data collection
circuit
further comprises an Internet of Things input circuit structured to receive
input from a
user used to configure a query for information about the at least one entity
in response to
the received input.
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757. The system of claim 751, further comprising:
a data collection circuit structured to monitor at least one of an Internet of
Things
device, an environmental condition sensor, a crowdsourcing request circuit, a
crowdsourcing communication circuit, a crowdsourcing publishing circuit, and
an
algorithm for querying network domains; and
wherein the condition classifying circuit is further structured to classify
the
condition in response to the information from the data collection circuit.
758. The system of claim 757, further comprising:
wherein the data collection circuit is further structured to monitor an
environment
selected from the group consisting of: a municipal environment, a corporate
environment, a securities trading environment, a real property environment, a
commercial facility, a warehousing facility, a transportation environment, a
manufacturing environment, a storage environment, a home, and a vehicle; and
wherein the condition classifying circuit is further structured to classify
the
condition in response to the monitored environment.
759. The system of claim 751, wherein the at least one bond is backed by at
least one
asset.
760. The system of claim 759, wherein the at least one asset is selected from
the assets
consisting of: a municipal asset, a vehicle, a ship, a plane, a building, a
home, real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.
761. The system of claim 760, wherein the event processing circuit is further
structured
to process an event relevant to at least one of a value, a condition, or an
ownership of the
at least one asset, and to undertake the action related to the at least one
transaction
further in response to the event.
762. The system of claim 761, wherein the action is selected from the actions
consisting
of: a bond transaction, underwriting a bond transaction, setting an interest
rate, deferring
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a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to
be provided, foreclosing on a set of assets, modifying terms and conditions,
setting a
rating for an entity, syndicating bonds, and consolidating bonds.
763. The system of claim 751, wherein the condition classifying circuit
comprises a
system selected from the systems consisting of: a machine learning system, a
model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, and a
simulation
system.
764. The system of claim 751, further comprising an automated bond management
circuit structured to manage an action related to the at least one bond,
wherein the
automated bond management circuit is trained on a training data set of a
plurality of
bond management activities.
765. The system of claim 764, wherein the automated bond management circuit is
trained on a plurality of interactions of parties with a plurality of user
interfaces involved
in a plurality of bond transaction activities.
766. The system of claim 765, wherein the plurality of bond transaction
activities is
selected from the bond transaction activities consisting of: offering a bond
transaction,
underwriting a bond transaction, setting an interest rate, deferring a payment
requirement, modifying an interest rate, validating title, managing
inspection, recording a
change in title, assessing a value of an asset, calling a loan, closing a
transaction, setting
terms and conditions for a transaction, providing notices required to be
provided,
foreclosing on a set of assets, modifying terms and conditions, setting a
rating for an
entity, syndicating bonds, and consolidating bonds.
767. The system of claim 751, further comprising a market value data
collection circuit
structured to monitor and report on marketplace information relevant to a
value of at
least one of a bond issuer, the at least one bond, and an asset related to the
at least one
bond.
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768. The system of claim 767, wherein the asset is selected from the assets
consisting of:
a municipal asset, a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, intellectual property, an intellectual property right, a contractual
right, an
antique, a fixture, an item of furniture, an item of equipment, a tool, an
item of
machinery, and an item of personal property.
769. The system of claim 767, wherein the market value data collection circuit
is further
structured to monitor pricing or financial data for an offset asset item in at
least one
public marketplace.
770. The system of claim 769, further comprising a clustering circuit
structured to
construct a set of offset asset items for valuing the asset based on an
attribute of the asset.
771. The system of claim 770, wherein the attribute is selected from the
attributes
consisting of: a category, an asset age, an asset condition, an asset history,
an asset
storage, and a geolocation.
772. The system of claim 751, further comprising a smart contract circuit
structured to
manage a smart contract for the at least one transaction.
773. The system of claim 772, wherein the smart contract circuit is further
structured to
determine terms and conditions for the at least one bond.
774. The system of claim 773, wherein the terms and conditions are selected
from the
group consisting of: a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment
schedule, a specification of assets that back the at least one bond, a
specification of
substitutability of assets, a party, an issuer, a purchaser, a guarantee, a
guarantor, a
security, a personal guarantee, a lien, a duration, a covenant, a foreclose
condition, a
default condition, and a consequence of default.
775. A method, comprising
collecting Internet of Things information about at least one entity involved
in at
least one transaction comprising at least one bond;
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classifying a condition of the at least one entity in accordance with a model
and
based on the Internet of Things information, wherein the model is trained
using a training
data set of a plurality of outcomes related to the at least one entity; and
undertaking an action related to the at least one transaction in response to
the
classified condition of the at least one entity.
776. The method of claim 775, further comprising, processing an event relevant
to at
least one of a value, a condition, or an ownership of at least one asset, and
undertaking
the action related to the at least one transaction further in response to the
event.
777. The method of claim 775, further comprising, training an automated bond
management circuit on a training set of a plurality of bond management
activities to
manage an action related to the at least one bond.
778. The method of claim 775, further comprising, monitoring and reporting on
marketplace information relevant to a value of at least one of a bond issuer,
the at least
one bond, or an asset.
779. An apparatus, comprising:
an Internet of Things data collection circuit structured to collect
information about
at least one entity involved in at least one transaction comprising at least
one bond; and
a condition classifying circuit structured to classify a condition of the at
least one
entity in accordance with a model and based on information from the Internet
of Things
data collection circuit, wherein the model is trained using a training data
set of a plurality
outcomes related to the at least one entity; and
a smart contract circuit structured to manage a smart contract for the at
least one
transaction in response to the classified condition of the at least one
entity.
780. The apparatus of claim 779, further comprising an event processing
circuit
structured to process an event relevant to at least one of a value, a
condition and an
ownership of at least one asset and undertake an action related to the at
least one
transaction in response to the classified condition of the at least one
entity.
781. A system, comprising:
an Internet of Things data collection circuit structured to collect
information about at
least one entity involved in at least one subsidized loan transaction;
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a condition classifying circuit comprising a model structured to classify at
least one
parameter of at least one subsidized loan involved in the at least one
subsidized loan
transaction based on the information from the Internet of Things data
collection circuit,
wherein the model is trained using a training data set of a plurality of
outcomes related to
the at least one subsidized loan: and
a smart contract circuit structured to automatically modify terms and
conditions of the at
least one subsidized loan based on the classified parameter from the condition
classifying
circuit.
782. The system of claim 781, wherein the at least one entity is selected from
the entities
consisting of : the at least one subsidized loan, a distinct at least one
subsidized loan
involved in the at least one subsidized loan transaction, a party, a subsidy,
a guarantor, a
subsidizing party, and a collateral.
783. The system of claim 781, wherein the at least one entity comprises a
party selected
from the parties consisting of: at least one of a municipality, a corporation,
a contractor,
a government entity, a non-governmental entity, and a non-profit entity.
784. The system of claim 781, wherein the at least one subsidized loan
comprises at least
one of a municipal subsidized loan, a government subsidized loan, a student
loan, an
asset-backed subsidized loan, or a corporate subsidized loan.
785. The system of claim 781, wherein the condition classified by the
condition
classifying circuit is selected from the conditions consisting of: a default
condition, a
foreclosure condition, a condition indicating violation of a covenant, a
financial risk
condition, a behavioral risk condition, a contractual performance condition, a
policy risk
condition, a financial health condition, a physical defect condition, a
physical health
condition, an entity risk condition and an entity health condition.
786. The system of claim 781, wherein the at least one subsidized loan is a
student loan,
and wherein the condition classifying circuit classifies at least one of: a
progress of a
student toward a degree, a participation of a student in a non-profit
activity, or a
participation of a student in a public interest activity.
787. The system of claim 781, further comprising a user interface of the
Internet of
Things data collection circuit structured to enable a user to configure a
query for
information about the at least one entity.
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788. The system of claim 781, further comprising at least one configurable
data
collection and circuit structured to monitor the at least one entity, and
selected from the
group consisting of: a social network analytic circuit, an environmental
condition circuit,
a crowdsourcing circuit, and an algorithm for querying a network domain.
789. The system of claim 788, wherein the at least one configurable data
collection and
circuit monitors an environment selected from the environments consisting of:
a
municipal environment, an educational environment, a corporate environment, a
securities trading environment, a real property environment, a commercial
facility, a
warehousing facility, a transportation environment, a manufacturing
environment, a
storage environment, a home, and a vehicle.
790. The system of claim 781, wherein the at least one subsidized loan is
backed by at
least one asset.
791. The system of claim 790, wherein the at least one asset is selected from
the assets
consisting of: a municipal asset, a vehicle, a ship, a plane, a building, a
home, real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.
792. The system of claim 790, further comprising an automated agent structured
to
process at least one event relevant to at least one of a value, a condition
and an
ownership of the at least one asset and undertake an action related to the at
least one
subsidized loan transaction to which the at least one asset is related.
793. The system of claim 792, wherein the action is selected from the actions
consisting
of: a subsidized loan transaction, underwriting a subsidized loan transaction,
setting an
interest rate, deferring a payment requirement, modifying an interest rate,
validating a
title, managing an inspection, recording a change in a title, assessing the
value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms
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and conditions, setting a rating for an entity, syndicating a subsidized loan,
and
consolidating a subsidized loan.
794. The system of claim 781, wherein the condition classifying circuit
comprises a
system selected from the systems consisting of : a machine learning system, a
model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, and a
simulation
system.
795. The system of claim 781, further comprising an automated subsidized loan
management circuit structured to manage an action related to the at least one
subsidized
loan, wherein the automated subsidized loan management circuit is trained on a
training
set of subsidized loan management activities.
796. The system of claim 795, wherein the automated subsidized loan management
circuit is trained on a plurality of interactions of parties with a plurality
of user interfaces
involved in a plurality of subsidized loan transaction activities.
797. The system of claim 796, wherein the plurality of subsidized loan
transaction
activities is selected from the activities consisting of: offering a
subsidized loan
transaction, underwriting a subsidized loan transaction, setting an interest
rate, deferring
a payment requirement, modifying an interest rate, validating a title,
managing an
inspection, recording a change in a title, assessing a value of an asset,
calling a loan,
closing a transaction, setting terms and conditions for a transaction,
providing notices
required to be provided, foreclosing on a set of assets, modifying terms and
conditions,
setting a rating for an entity, syndicating a subsidized loan, and
consolidating a
subsidized loan.
798. The system of claim 781, further comprising a blockchain service circuit
structured
to record the modified set of terms and conditions for the at least one
subsidized loan in a
distributed ledger.
799. The system of claim 781, further comprising a market value data
collection circuit
structured to monitor and report on marketplace information relevant to a
value of at
least one of an issuer, at least one subsidized loan, and at least one asset.
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800. The system of claim 799, wherein reporting is on at least one asset
selected from the
assets consisting of : a municipal asset, a vehicle, a ship, a plane, a
building, a home, real
estate property, undeveloped land, a farm, a crop, a municipal facility, a
warehouse, a set
of inventory, a commodity, a security, a currency, a token of value, a ticket,
a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.
801. The system of claim 799, wherein the market value data collection circuit
is further
structured to monitor pricing or financial data for an offset asset item in at
least one
public marketplace.
802. The system of claim 799, further comprising a clustering circuit
structured to
construct a set of offset asset items for valuing the at least one asset based
on an attribute
of the at least one asset.
803. The system of claim 802, wherein the attribute is selected from the
attributes
consisting of: a category, an asset age, an asset condition, an asset history,
an asset
storage, and a geolocation.
804. The system of claim 781, wherein the smart contract circuit is further
structured to
manage a smart contract for the at least one subsidized loan transaction.
805. The system of claim 804, wherein the smart contract circuit is further
structured to
modify the smart contract in response to the classified parameter of the at
least one
subsidized loan.
806. The system of claim 781, wherein the terms and conditions for the at
least one
subsidized loan that are automatically modified by the smart contract circuit
are selected
from the group consisting of: a principal amount of debt, a balance of debt, a
fixed
interest rate, a variable interest rate, a payment amount, a payment schedule,
a balloon
payment schedule, a specification of assets that back the at least one
subsidized loan, a
specification of substitutability of assets, a party, an issuer, a purchaser,
a guarantee, a
guarantor, a security, a personal guarantee, a lien, a duration, a covenant, a
foreclose
condition, a default condition, and a consequence of default.
807. A method, comprising:
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collecting information about at least one entity involved in at least one
subsidized loan
transaction;
classifying at least one parameter of at least one subsidized loan involved in
the at least
one subsidized loan transaction based on the information using a model trained
on a
training data set of a plurality of outcomes related to the at least one
subsidized loan: and
automatically modifying terms and conditions of the at least one subsidized
loan based
on the classified parameter.
808. The method of claim 807, further comprising processing at least one event
relevant
to at least one of a value, a condition, or an ownership of at least one asset
related to the
at least one subsidized loan, and undertaking an action related to the at
least one
subsidized loan transaction.
809. The method of claim 807, further comprising recording the modified set of
terms
and conditions for the at least one subsidized loan in a distributed ledger.
810. The method of claim 807, further comprising monitoring and reporting on
marketplace information relevant to a value of at least one of an issuer, the
at least one
subsidized loan, or at least one asset related to the at least one subsidized
loan.
811. A system, comprising:
a social network analytic data collection circuit structured to collect social
network
information about at least one entity involved in at least one subsidized loan
transaction;
a condition classifying circuit comprising a model structured to classify at
least one
parameter of at least one subsidized loan involved in the at least one
subsidized loan
transaction based on the social network information from the social network
analytic data
collection circuit, wherein the model is trained using a training data set of
outcomes
related to the at least one subsidized loan; and
a smart contract circuit structured to automatically modify terms and
conditions of the at
least one subsidized loan based on the classified at least one parameter.
812. The system of claim 811, wherein the at least one entity is selected from
the entities
consisting of : the at least one subsidized loan, a distinct at least one
subsidized loan
involved in the at least one subsidized loan transaction, a party, a subsidy,
a guarantor, a
subsidizing party, and a collateral.
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813. The system of claim 811, wherein a party subsidizing the at least one
subsidized
loan is selected from the parties consisting of: a municipality, a
corporation, a contractor,
a government entity, a non-governmental entity, and a non-profit entity.
814. The system of claim 811, wherein the at least one subsidized loan
comprises at least
one of a municipal subsidized loan, a government subsidized loan, a student
loan, an
asset-backed subsidized loan, or a corporate subsidized loan.
815. The system of claim 811, wherein the at least one parameter classified by
the
condition classifying circuit is selected from the conditions consisting of :
a default
condition, a foreclosure condition, a condition indicating violation of a
covenant, a
financial risk condition, a behavioral risk condition, a contractual
performance condition,
a policy risk condition, a financial health condition, a physical defect
condition, a
physical health condition, an entity risk condition, or an entity health
condition.
816. The system of claim 811, wherein the at least one subsidized loan is a
student loan,
and wherein the condition classifying circuit classifies at least one of a
progress of a
student toward a degree, a participation of a student in a non-profit
activity, or a
participation of a student in a public interest activity.
817. The system of claim 811, further comprising:
a user interface of the social network analytic data collection circuit
structured to
enable a user to configure a query for information about the at least one
entity; and
wherein the social network analytic data collection circuit initiates at least
one
algorithm that searches and retrieves data from at least one social network in
response to
the query.
818. The system of claim 811, further comprising at least one configurable
data
collection and circuit structured to monitor the at least one entity, and
selected from the
group consisting of: a social network analytic circuit, an environmental
condition circuit,
a crowdsourcing circuit, and an algorithm for querying a network domain.
819. The system of claim 818, wherein the at least one configurable data
collection and
circuit monitors an environment selected from the environments consisting of:
a
municipal environment, an educational environment, a corporate environment, a
securities trading environment, a real property environment, a commercial
facility, a
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warehousing facility, a transportation environment, a manufacturing
environment, a
storage environment, a home, and a vehicle.
820. The system of claim 811, wherein the at least one subsidized loan is
backed by at
least one asset.
821. The system of claim 820, wherein the at least one asset is selected from
the assets
consisting of: a municipal asset, a vehicle, a ship, a plane, a building, a
home, real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.822. The system of claim 820,
further
comprising an automated agent structured to process at least one event
relevant to at least
one of a value, a condition, or an ownership of the at least one asset, and
undertake an
action related to the at least one subsidized loan transaction to which the at
least one
asset is related.
823. The system of claim 822, wherein the action is selected from the actions
consisting
of: a subsidized loan transaction, underwriting a subsidized loan transaction,
setting an
interest rate, deferring a payment requirement, modifying an interest rate,
validating a
title, managing an inspection, recording a change in a title, assessing the
value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms
and conditions, setting a rating for an entity, syndicating a subsidized loan,
and
consolidating a subsidized loan.
824. The system of claim 811, wherein the condition classifying circuit
comprises a
system selected from the systems consisting of : a machine learning system, a
model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback
neural network, a self-organizing map, a fuzzy logic system, a random walk
system, a
random forest system, a probabilistic system, a Bayesian system, and a
simulation
system.
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825. The system of claim 811, further comprising an automated subsidized loan
management circuit structured to manage an action related to the at least one
subsidized
loan, and wherein the automated subsidized loan management circuit is trained
on a
training set of subsidized loan management activities.
826. The system of claim 825, wherein the automated subsidized loan management
circuit is trained on a plurality of interactions of parties with a plurality
of user interfaces
involved in a plurality of subsidized loan transaction activities.
827. The system of claim 826, wherein the plurality of subsidized loan
transaction
activities is selected from the activities consisting of: offering a
subsidized loan
transaction, underwriting a subsidized loan transaction, setting an interest
rate, deferring
a payment requirement, modifying an interest rate, validating a title,
managing an
inspection, recording a change in a title, assessing a value of an asset,
calling a loan,
closing a transaction, setting terms and conditions for a transaction,
providing notices
required to be provided, foreclosing on a set of assets, modifying terms and
conditions,
setting a rating for an entity, syndicating a subsidized loan, and
consolidating a
subsidized loan.
828. The system of claim 811, further comprising a blockchain service circuit
structured
to record the modified set of terms and conditions for the at least one
subsidized loan in a
distributed ledger.
829. The system of claim 811, further comprising a market value data
collection circuit
structured to monitor and report on marketplace information relevant to a
value of at
least one of: an issuer, at least one subsidized loan, or at least one asset.
830. The system of claim 829, wherein reporting is on at least one asset
selected from the
assets consisting of : a municipal asset, a vehicle, a ship, a plane, a
building, a home, real
estate property, undeveloped land, a farm, a crop, a municipal facility, a
warehouse, a set
of inventory, a commodity, a security, a currency, a token of value, a ticket,
a
cryptocurrency, a consumable item, an edible item, a beverage, a precious
metal, an item
of jewelry, a gemstone, intellectual property, an intellectual property right,
a contractual
right, an antique, a fixture, an item of furniture, an item of equipment, a
tool, an item of
machinery, and an item of personal property.
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831. The system of claim 829, wherein the market value data collection circuit
is further
structured to monitor pricing or financial data for an offset asset item in at
least one
public marketplace.
832. The system of claim 831, further comprising a clustering circuit
structured to
construct a set of offset asset items for valuing the at least one asset based
on an attribute
of the at least one asset.
833. The system of claim 832, wherein the attribute is selected from the
attributes
consisting of: a category, an asset age, an asset condition, an asset history,
an asset
storage, and a geolocation.
834. The system of claim 811, further comprising a smart contract circuit
structured to
manage a smart contract for the at least one subsidized loan transaction.
835. The system of claim 834, wherein the smart contract circuit sets terms
and
conditions for the at least one subsidized loan.
836. The system of claim 835, wherein the terms and conditions for the at
least one
subsidized loan that are specified and managed by the smart contract circuit
are selected
from the group consisting of: a principal amount of debt, a balance of debt, a
fixed
interest rate, a variable interest rate, a payment amount, a payment schedule,
a balloon
payment schedule, a specification of assets that back the at least one
subsidized loan, a
specification of substitutability of assets, a party, an issuer, a purchaser,
a guarantee, a
guarantor, a security, a personal guarantee, a lien, a duration, a covenant, a
foreclose
condition, a default condition, and a consequence of default.
837. A method, comprising:
collecting social network information about at least one entity involved in at
least one
subsidized loan transaction;
classifying at least one parameter of at least one subsidized loan involved in
the at least
one subsidized loan transaction based on the social network information using
a model
trained on a training data set of outcomes related to the at least one
subsidized loan; and
automatically modifying a terms and conditions of the at least one subsidized
loan based
on the classified at least one parameter.
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838. The method of claim 837, further comprising processing at least one event
relevant
to at least one of a value, a condition, or an ownership of at least one
asset, and
undertaking an action related to the at least one subsidized loan transaction
to which the
at least one asset is related.
839. The method of claim 837, further comprising recording the modified set of
terms
and conditions for the at least one subsidized loan in a distributed ledger.
840. The method of claim 837, further comprising monitoring and reporting on
marketplace information relevant to a value of at least one of an issuer, the
at least one
subsidized loan, or at least one asset.
841. A system for automating handling of a subsidized loan, comprising:
a crowdsourcing services circuit structured to collect information related to
a set of entities
involved in a set of subsidized loan transactions;
a condition classifying circuit comprising a model and an artificial
intelligence services
circuit structured to classify a set of parameters of the set of subsidized
loans involved in the
transactions based on information from the crowdsourcing services circuit,
wherein the model
is trained using a training data set of outcomes related to subsidized loans;
and
a smart contract circuit for automatically modifying a term or a condition of
a subsidized loan
based on the classified set of parameters from the condition classifying
circuit.
842. The system of claim 841, wherein each entity of the set of entities
includes entities
selected from the list consisting of: a subsidized loan from a set of
subsidized loans
corresponding to the set of subsidized loan transactions, a party related to
at least one of the
set of subsidized loan transactions, a subsidy corresponding to a subsidized
loan from a set of
subsidized loans corresponding to the set of subsidized loan transactions, a
guarantor related
to at least one of the set of subsidized loan transactions, a subsidy
corresponding to a
subsidized loan from a set of subsidized loans corresponding to the set of
subsidized loan
transactions, a subsidized party related to at least one of the set of
subsidized loan
transactions, a subsidizing party related to at least one of the set of
subsidized loan
transactions, a subsidy corresponding to a subsidized loan from a set of
subsidized loans
corresponding to the set of subsidized loan transactions, and an item of
collateral related to at
least one of the set of subsidized loan transactions, a subsidy corresponding
to a subsidized
loan from a set of subsidized loans corresponding to the set of subsidized
loan transactions.
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843. The system of claim 841, wherein at least one entity of the set of
entities includes a
subsidizing party related to at least one of the set of subsidized loan
transactions, wherein the
subsidizing party includes at least one of a municipality, a corporation, a
contractor, a
government entity, a non-governmental entity, or a non-profit entity.
844. The system of claim 841, wherein each loan of a set of subsidized loans
corresponding
to the set of loan transactions includes at least one of a municipal
subsidized loan, a
government subsidized loan, a student loan, an asset-backed subsidized loan,
or a corporate
subsidized loan.
845. The system of claim 841, wherein the condition classified by the
condition classifying
circuit comprises a condition selected from the conditions consisting of: a
default condition, a
foreclosure condition, a condition indicating violation of a covenant, a
financial risk
condition, a behavioral risk condition, a contractual performance condition, a
policy risk
condition, a financial health condition, a physical defect condition, a
physical health
condition, an entity risk condition, and an entity health condition.
846. The system of claim 841, wherein the subsidized loan is a student loan,
and the
condition classifying circuit classifies at least one of: a progress of a
student toward a degree,
a participation of a student in a non-profit activity, and a participation of
the student in a
public interest activity.
847. The system of claim 841, wherein the crowdsourcing services circuit is
further
structured to implement a user interface by which a user may configure a query
for
information about the set of entities, and wherein the crowdsourcing services
circuit
automatically configures a crowdsourcing request based on the query.
848. The system of claim 841, further comprising a configurable data
collection and
monitoring services circuit for monitoring the entities, wherein the
configurable data
collection and monitoring services circuit includes at least one of: a set of
Internet of Things
services, a set of environmental condition sensors, a set of social network
analytic services, or
a set of algorithms for querying network domains.
849. The system of claim 848, wherein the configurable data collection and
monitoring
services circuit is further structured to monitor an environment selected from
among a
municipal environment, an educational environment, a corporate environment, a
securities
trading environment, a real property environment, a commercial facility, a
warehousing
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facility, a transportation environment, a manufacturing environment, a storage
environment, a
home, or a vehicle.
850. The system of claim 848, wherein the set of subsidized loans is backed by
a set of assets.
851. The system of claim 850, wherein the set of assets includes assets each
selected from
among a municipal asset, a vehicle, a ship, a plane, a building, a home, real
estate property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable
item, an edible item, a beverage, a precious metal, an item of jewelry, a
gemstone, intellectual
property, an intellectual property right, a contractual right, an antique, a
fixture, an item of
furniture, an item of equipment, a tool, an item of machinery, or an item of
personal property.
852. The system of claim 850, further comprising an automated agent circuit
structured to
process events relevant to at least one of a value, a condition, or an
ownership of at least one
asset of the set the assets, and undertakes an action related to a subsidized
loan transaction to
which the at least one asset is related.
853. The system of claim 852, wherein the action is selected from among
offering a
subsidized loan transaction, underwriting a subsidized loan transaction,
setting an interest
rate, deferring a payment requirement, modifying an interest rate, validating
title, managing
inspection, recording a change in title, assessing the value of an asset,
calling a loan, closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating subsidized loans, or consolidating subsidized loans.
854. The system of claim 841, wherein the artificial intelligence services
circuit comprises at
least one of a machine learning system, a model-based system, a rule-based
system, a deep
learning system, a hybrid system, a neural network, a convolutional neural
network, a feed
forward neural network, a feedback neural network, a self-organizing map, a
fuzzy logic
system, a random walk system, a random forest system, a probabilistic system,
a Bayesian
system, or a simulation system.
855. The system of claim 841, further comprising an automated subsidized loan
management
circuit structured to manage an action related to the subsidized loan, wherein
the automated
subsidized loan management circuit is trained on a training set of subsidized
loan
management activities.
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856. The system of claim 855, wherein the automated subsidized loan management
circuit is
further trained on a set of interactions of parties with a set of user
interfaces, wherein the
parties are involved in a set of subsidized loan transaction activities and
wherein the set of
subsidized loan transaction activities includes activities each selected from
among offering a
subsidized loan transaction, underwriting a subsidized loan transaction,
setting an interest
rate, deferring a payment requirement, modifying an interest rate, validating
title, managing
inspection, recording a change in title, assessing a value of an asset,
calling a loan, closing a
transaction, setting terms and conditions for a transaction providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating subsidized loans, or consolidating subsidized loans.
857. The system of claim 841, further comprising a blockchain services circuit
structured to
record the modified set of terms and conditions for a set of subsidized loans
corresponding to
the set of subsidized loan transactions in a distributed ledger.
858. The system of claim 841, further comprising a market value data
collection service
circuit structured to monitor and report on marketplace information relevant
to the value of at
least one of a party related to the subsidized loan, a set of subsidized loans
corresponding to
the set of subsidized loan transactions, or a set of assets.
859. The system of claim 858, wherein reporting is on a set of assets that
includes at least one
of a municipal asset, a vehicle, a ship, a plane, a building, a home, real
estate property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable
item, an edible item, a beverage, a precious metal, an item of jewelry, a
gemstone, intellectual
property, an intellectual property right, a contractual right, an antique, a
fixture, an item of
furniture, an item of equipment, a tool, an item of machinery, or an item of
personal property.
860. The system of claim 859, wherein the market value data collection service
circuit is
further structured to monitor pricing or financial data for items that are
similar to assets of the
set of assets in at least one public marketplace.
861. The system of claim 860, wherein a set of similar items for valuing the
assets of the set
of assets is constructed using a similarity clustering algorithm based on
attributes of the
assets.
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862. The system of claim 861, wherein the attributes are selected from among a
category of
the assets, asset age, asset condition, asset history, asset storage, or
geolocation of assets.
863. The system of claim 841, further comprising a smart contract services
circuit for
managing a smart contract for the subsidized loan.
864. The system of claim 863, wherein the smart contract services circuit is
further structured
to set terms and conditions for the subsidized loan.
865. The system of claim 864, wherein the terms and conditions for the set of
subsidized
loan transactions that are specified and managed by the smart contract
services circuit is
selected from among a principal amount of debt, a balance of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment schedule, a
specification of assets that back the subsidized loan, a specification of
substitutability of
assets, a party, an issuer, a purchaser, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, or a
consequence of default.
866. A method for automating handling of a subsidized loan, comprising:
collecting information related to a set of entities involved in a set of
subsidized loan
transactions;
classifying a set of parameters of a set of subsidized loans involved in the
subsidized loan
transactions based on an artificial intelligence service, a model, and
information from a
crowdsourcing service, wherein the model is trained using a training data set
of outcomes
related to subsidized loans; and
modifying terms and conditions of a subsidized loan based on the classified
set of parameters.
867. The method of claim 866, wherein the set of entities includes entities
selected from
among a set of subsidized loans, a set of parties, a set of subsidies, a set
of guarantors, a set of
subsidizing parties, or a set of collateral.
868. The method of claim 866, wherein the set of entities comprise a set of
subsidizing
parties, and wherein each party of the set of subsidizing parties includes at
least one of a
municipality, a corporation, a contractor, a government entity, a non-
governmental entity, or
a non-profit entity.
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869. The method of claim 867, wherein the set of subsidized loans includes at
least one of a
municipal subsidized loan, a government subsidized loan, a student loan, an
asset-backed
subsidized loan, and a corporate subsidized loan.
870. The method of claim 866, wherein the subsidized loan is a student loan
and wherein the
classifying is based on at least one of a progress of a student toward a
degree, a participation
of a student in a non-profit activity, or a participation of the student in a
public interest
activity.
871. A system comprising:
an asset identification service circuit structured to interpret a plurality of
assets corresponding
to a financial entity configured to take custody of the plurality of assets;
an identity management service circuit structured to authenticate a plurality
of identifiers
corresponding to actionable entities entitled to take action with respect to
the plurality of
assets, wherein the plurality of identifiers comprises at least one
credential;
a blockchain service circuit structured to store a plurality of asset control
features in a
blockchain structure, wherein the blockchain structure comprises a distributed
ledger
configuration; and
a financial management circuit structured to communicate the interpreted
plurality of assets
and authenticated plurality of identifiers to the blockchain service circuit
for storage in the
blockchain structure as asset control features, and wherein the blockchain
service circuit is
further structured to record the asset control features in the distributed
ledger configuration as
asset events.
872. The system of claim 871, wherein the at least one credential comprises an
owner
credential, an agent credential, a beneficiary credential, a trustee
credential, or a custodian
credential.
873. The system of claim 871, wherein the asset events include events selected
from among
transfer of title, death of an owner, disability of an owner, bankruptcy of an
owner,
foreclosure, placement of a lien, use of assets as collateral, designation of
a beneficiary,
undertaking a loan against assets, providing a notice with respect to assets,
inspection of
assets, assessment of assets, reporting on assets for taxation purposes,
allocation of ownership
of assets, disposal of assets, sale of assets, purchase of assets, or
designation of an ownership
status.
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874. The system of claim 871, further comprising a data collection circuit
structured to
monitor at least one of the interpretation of the plurality of assets, the
authentication of the
plurality of identifiers, or the recording of asset events.
875. The system of claim 874, wherein the actionable entities each comprise at
least one of an
owner, a beneficiary, an agent, a trustee, or a custodian.
876. The system of claim 875, further comprising a smart contract circuit
structured to
manage the custody of the plurality of assets, and wherein at least one asset
event related to
the plurality of assets is managed by the smart contract circuit based on a
plurality of terms
and conditions embodied in a smart contract configuration and based on data
collected by the
data collection circuit.
877. The system of claim 876, wherein the at least one asset event related to
the plurality of
assets comprises at least one event selected from among of transfer of title,
death of an
owner, disability of an owner, bankruptcy of an owner, foreclosure, placement
of a lien, use
of assets as collateral, designation of a beneficiary, undertaking a loan
against assets,
providing a notice with respect to assets, inspection of assets, assessment of
assets, reporting
on assets for taxation purposes, allocation of ownership of assets, disposal
of assets, sale of
assets, purchase of assets, or designation of an ownership status.
878. The system of claim 874, wherein the data collection circuit further
comprises at least
one system selected from the systems consisting of : an Internet of Things
system, a camera
system, a networked monitoring system, an internet monitoring system, a mobile
device
system, a wearable device system, a user interface system, and an interactive
crowdsourcing
system.
879. The system of claim 871, wherein each of the asset identification service
circuit, the
identity management service circuit, the blockchain service circuit, and the
financial
management circuit further comprise a corresponding application programming
interface
(API) component structured to facilitate communication among the circuits of
the system.
880. The system of claim 879, wherein the corresponding API components of the
circuits
further comprise user interfaces structured to interact with a plurality of
users of the system.
881. The system of claim 871, wherein the blockchain service circuit is
further structured to
share and distribute the asset events with the plurality of actionable
entities.
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882. A method comprising:
interpreting a plurality of assets corresponding to a financial entity
configured to take custody
of the plurality of assets;
authenticating a plurality of identifiers corresponding to actionable entities
entitled to take
action with respect to the plurality of assets, wherein the plurality of
identifiers comprises at
least one credential;
storing a plurality of asset control features in a blockchain structure,
wherein the blockchain
structure comprises a distributed ledger configuration; and
communicating the interpreted plurality of assets and authenticated plurality
of identifiers for
storage in the blockchain structure as asset control features, wherein the
asset control features
are recorded in the distributed ledger configuration as asset events.
883. The method of claim 882, wherein the at least one credential comprises an
owner
credential, an agent credential, a beneficiary credential, a trustee
credential, or a custodian
credential.
884. The method of claim 882, wherein the asset events each include at least
one event
selected from among transfer of title, death of an owner, disability of an
owner, bankruptcy of
an owner, foreclosure, placement of a lien, use of assets as collateral,
designation of a
beneficiary, undertaking a loan against assets, providing a notice with
respect to assets,
inspection of assets, assessment of assets, reporting on assets for taxation
purposes, allocation
of ownership of assets, disposal of assets, sale of assets, purchase of
assets, or designation of
an ownership status.
885. The method of claim 882, further comprising monitoring at least one of
the
interpretation of the plurality of assets, the authentication of the plurality
of identifiers, or the
recording of asset events.
886. The method of claim 885, wherein the actionable entities each comprise at
least one of
an owner, a beneficiary, an agent, a trustee, or a custodian.
887. The method of claim 886, further comprising managing the custody of the
plurality of
assets, wherein at least one asset event related to the plurality of assets is
based on a plurality
of terms and conditions embodied in a smart contract configuration and based
on data about
the plurality of assets.
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888. The method of claim 887, wherein each asset event related to the
plurality of assets
comprises at least one event selected from among transfer of title, death of
an owner,
disability of an owner, bankruptcy of an owner, foreclosure, placement of a
lien, use of assets
as collateral, designation of a beneficiary, undertaking a loan against
assets, providing a
notice with respect to assets, inspection of assets, assessment of assets,
reporting on assets for
taxation purposes, allocation of ownership of assets, disposal of assets, sale
of assets,
purchase of assets, or designation of an ownership status.
889. The method of claim 885, wherein the monitoring is executed by at least
one of an
Internet of Things system, a camera system, a networked monitoring system, an
internet
monitoring system, a mobile device system, a wearable device system, a user
interface
system, and an interactive crowdsourcing system.
890. The method of claim 882, further comprising sharing and distributing the
asset events
with the plurality of actionable entities.
891. The method of claim 882, wherein interpreting the plurality of assets
comprises
identifying the plurality of assets for which a financial entity is
responsible for taking
custody.
892. The method of claim 882, wherein authenticating the plurality of
identifiers comprises
verifying the plurality of identifiers corresponding to actionable entities
are entitled to take
action with respect to the plurality of assets.
893. The method of claim 882, wherein the blockchain structure is provided in
conjunction
with a block-chain marketplace.
894. The method of claim 893, wherein the block-chain marketplace utilizes an
automated
blockchain-based transaction application.
895. The method of claim 882, further comprising storing asset transaction
data in the
blockchain structure based on interactions between actionable entities.
896. The method of claim 882, wherein the blockchain structure is a
distributed blockchain
structure across a plurality of asset nodes.
897. The method of claim 882, wherein at least one of the plurality of assets
is a virtual asset
tag and interpreting the plurality of assets comprises identifying the virtual
asset tag.
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898. The method of claim 897, wherein the storing of the plurality of asset
control features
comprising storing virtual asset tag data.
899. The method of claim 898, wherein the virtual asset tag data is at least
one of location
data or tracking data.
900. The method of claim 898, wherein an identifier corresponding to at least
one of the
financial entity or actionable entities is stored as virtual asset tag data.
901. A system for facilitating foreclosure on collateral, comprising:
a lending agreement storage circuit structured to store a plurality of lending
agreement
data comprising at least one lending agreement, wherein the at least one
lending
agreement comprises a lending condition data, the lending condition data
comprising a
terms and condition data of the at least one lending agreement related to a
foreclosure
condition on at least one asset that provides a collateral condition related
to a collateral
asset for securing a repayment obligation of the at least one lending
agreement;
a data collection services circuit structured to monitor the lending condition
data and to
detect a default condition based on a change to the lending condition data;
and
a smart contract services circuit structured to interpret the default
condition and
communicate a default condition indication that initiates a foreclosure
procedure based
on the collateral condition and the default condition.
902. The system of claim 901, wherein the smart contract services circuit is
further
structured to communicate the detected default condition to at least one of a
smart lock
or a smart container to lock the collateral asset.
903. The system of claim 901, wherein the foreclosure procedure configures and
initiates
a listing of the collateral asset on a public auction site.
904. The system of claim 901, wherein the foreclosure procedure configures and
delivers
a set of transport instructions for the collateral asset.
905. The system of claim 901, wherein the foreclosure procedure configures a
set of
instructions for a drone to transport the collateral asset.
906. The system of claim 901, wherein the foreclosure procedure configures a
set of
instructions for a robotic device to transport the collateral asset.
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907. The system of claim 901, wherein the foreclosure procedure initiates a
process for
automatically substituting a set of substitute collateral.
908. The system of claim 901, wherein the foreclosure procedure initiates a
collateral
tracking procedure.
909. The system of claim 901, wherein the foreclosure procedure initiates a
collateral
valuation process.
910. The system of claim 901, wherein the foreclosure procedure initiates a
message to a
borrower initiating a negotiation regarding the foreclosure.
911. The system of claim 910, wherein the negotiation is managed by a robotic
process
automation system trained on a training set of foreclosure negotiations.
912. The system of claim 910, wherein the negotiation relates to modification
of at least
one of interest rate, payment terms, or collateral for the at least one
lending agreement.
913. The system of claim 901, wherein the data collection services circuit
further comprises
at least one system selected from the systems consisting of: an Internet of
Things system, a
camera system, a networked monitoring system, an internet monitoring system, a
mobile
device system, a wearable device system, a user interface system, and an
interactive
crowdsourcing system.
914. The system of claim 901, wherein each of the lending agreement storage
circuit, data
collection services circuit, and smart contract services circuit further
comprise a
corresponding application programming interface (API) component structured to
facilitate
communication among the circuits of the system.
915. The system of claim 914, wherein the corresponding API components of the
circuits
further comprise user interfaces structured to interact with a plurality of
users of the system.
916. A method for facilitating foreclosure on collateral, comprising:
storing a plurality of lending agreement data comprising at least one lending
agreement,
wherein the at least one lending agreement comprises a lending condition data,
the
lending condition data comprising a terms and condition data of the at least
one lending
agreement related to a foreclosure condition on at least one asset that
provides a
collateral condition related to a collateral asset for securing a repayment
obligation of the
at least one lending agreement;
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monitoring the lending condition data and to detect a default condition based
on a change
to the lending condition data;
interpreting the default condition; and
communicating a default condition indication that initiates a foreclosure
procedure based
on the collateral condition.
917. The method of claim 916, wherein the detected default condition is
communicated
to at least one of a smart lock and a smart container to lock the collateral
asset.
918. The method of claim 916, wherein the foreclosure procedure configures and
initiates a listing of the collateral asset on a public auction site.
919. The method of claim 916, wherein the foreclosure procedure configures and
delivers a set of transport instructions for the collateral asset.
920. The method of claim 916, wherein the foreclosure procedure configures a
set of
instructions for a drone to transport the collateral asset.
921. The method of claim 916, wherein the foreclosure procedure configures a
set of
instructions for a robotic device to transport the collateral asset.
922. The method of claim 916, wherein the foreclosure procedure initiates a
process for
automatically substituting a set of substitute collateral.
923. The method of claim 916, wherein the foreclosure procedure initiates a
collateral
tracking procedure.
924. The method of claim 916, wherein the foreclosure procedure initiates a
collateral
valuation process.
925. The method of claim 916, wherein the foreclosure procedure initiates a
message to a
borrower initiating a negotiation regarding the foreclosure.
926. The method of claim 925, wherein the negotiation is managed by a robotic
process
automation system trained on a training set of foreclosure negotiations.
927. The method of claim 925, wherein the negotiation relates to modification
of at least
one of interest rate, payment terms, or collateral for the at least one
lending agreement.
928. The method of claim 916, wherein the monitoring is provided by at least
one of an
Internet of Things system, a camera system, a networked monitoring system, an
internet
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monitoring system, a mobile device system, a wearable device system, a user
interface
system, or an interactive crowdsourcing system.
929. The method of claim 916, wherein providing communications for monitoring,
interpreting, and communicating are through an application programming
interface (API).
930. The method of claim 929, further comprising providing a user interface
incorporating
the API to interact with a plurality of users.
662

Description

DEMANDE OU BREVET VOLUMINEUX
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ADAPTIVE INTELLIGENCE AND SHARED INFRASTRUCTURE LENDING
TRANSACTION ENABLEMENT PLATFORM
CROSS REFERENCE TO RELATED APPLICATIONS
[0001] This application claims the benefit of priority to the following U.S.
Provisional Patent
Applications: Serial No. 62/751,713 (Attorney Docket No. SFTX-0003-P01), filed
October
29, 2018, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND
SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND
OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY,
COMPUTE, STORAGE AND OTHER RESOURCES", Serial No. 62/843,992 (Attorney
Docket No. SFTX-0005-P01), filed May 6, 2019, entitled "ADAPTIVE INTELLIGENCE
AND SHARED INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT
PLATFORM WITH ROBOTIC PROCESS ARCHITECTURE"; Serial No. 62/818,100
Attorney Docket No. SFTX-0006-P01), filed March 13, 2019, entitled "ROBOTIC
PROCESS AUTOMATION ARCHITECTURE, SYSTEMS AND METHODS IN
TRANSACTION ENVIRONMENTS"; Serial No. 62/843,455 (Attorney Docket No. SFTX-
0007-P01), filed May 5, 2019, entitled "ADAPTIVE INTELLIGENCE AND SHARED
INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM WITH
ROBOTIC PROCESS ARCHITECTURE"; and Serial No. 62/843,456 (Attorney Docket No.
SFTX-0008-P01), filed May 5, 2019, entitled ADAPTIVE INTELLIGENCE AND SHARED
INFRASTRUCTURE LENDING TRANSACTION ENABLEMENT PLATFORM WITH
ROBOTIC PROCESS ARCHITECTURE."
[0002] This application also claims the benefit of priority to and is a
continuation-in-part of
PCT Application PCT/U52019/030934 (Attorney Docket No. SFTX-0004-W0), filed
May 6,
2019, entitled, "METHODS AND SYSTEMS FOR IMPROVING MACHINES AND
SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND
OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY,
COMPUTE, STORAGE AND OTHER RESOURCES." PCT Application
PCT/U52019/030934 (Attorney Docket No. SFTX-0004-WO) claims the benefit of
priority
to the following U.S. Provisional Patent Applications: Serial No. 62/787,206
(Attorney
Docket No. SFTX-0001-P01), filed December 31, 2018, entitled "METHODS AND
SYSTEMS FOR IMPROVING MACHINES AND SYSTEMS THAT AUTOMATE
EXECUTION OF DISTRIBUTED LEDGER AND OTHER TRANSACTIONS IN SPOT
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AND FORWARD MARKETS FOR ENERGY, COMPUTE, STORAGE AND OTHER
RESOURCES" and Serial No. 62/751,713 (Attorney Docket No. SFTX-0003-P01),
filed
October 29, 2018, entitled "METHODS AND SYSTEMS FOR IMPROVING MACHINES
AND SYSTEMS THAT AUTOMATE EXECUTION OF DISTRIBUTED LEDGER AND
OTHER TRANSACTIONS IN SPOT AND FORWARD MARKETS FOR ENERGY,
COMPUTE, STORAGE AND OTHER RESOURCES."
[0003] Each of the foregoing applications is incorporated herein by reference
in its entirety.
BACKGROUND
[0004] Field. This application is related to the field of lending, and more
particularly to the
field of adaptive intelligent systems used to enable lending transactions.
[0005] Description of the Related Art. Lending transactions provide financing
for a wide
variety of needs, ranging from housing and education to corporate and
government projects,
among many others, while enabling lenders to earn financial returns. However,
lending
transactions are plagued by a number of problems, including opacity and
asymmetry of
information, moral hazard induced by shifting of the consequences of risky or
inappropriate
behavior, complexity of application and negotiation processes, burdensome
regulatory and
policy regimes, difficulty in determining the value of property that is used
as collateral or
backing for obligations, difficulty in determining the reliability or
financial health of entities,
and others. A need exists for lending systems that address these and other
problems of
lending transactions and environments.
SUMMARY
[0006] Provided herein is a lending transaction enablement platform having a
set of data-
integrated microservices including data collection and monitoring services,
blockchain
services, and smart contract services for handling lending entities and
transactions. The
platform is capable of enabling a wide range of dedicated solutions, which may
share data
collection and storage infrastructure, and which may share or exchange inputs,
events,
activities and outputs, such as to reinforce learning, enable automation, and
enable adaptive
intelligence across the various solutions.
[0007] In embodiments a lending platform is provided having an Internet of
Things and
sensor platform for monitoring at least one of a set of assets and a set of
collateral for a loan,
a bond, or a debt transaction.
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[0008] In embodiments a lending platform is provided having a smart contract
and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral.
[0009] In embodiments a lending platform is provided having a smart contract
system that
automatically adjusts an interest rate for a loan based on information
collected via at least one
of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services.
[0010] In embodiments a lending platform is provided having a crowdsourcing
system for
obtaining information about at least one of a state of a set of collateral for
a loan and a state
of an entity relevant to a guarantee for a loan.
[0011] In embodiments a lending platform is provided having a smart contract
that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction.
[0012] In embodiments a lending platform is provided having a smart contract
that
automatically restructures debt based on a monitored condition.
[0013] In embodiments a lending platform is provided having a social network
monitoring
system for validating the reliability of a guarantee for a loan.
[0014] In embodiments a lending platform is provided having an Internet of
Things data
collection and monitoring system for validating reliability of a guarantee for
a loan.
[0015] In embodiments a lending platform is provided having a robotic process
automation
system for negotiation of a set of terms and conditions for a loan.
[0016] In embodiments a lending platform is provided having a robotic process
automation
system for loan collection.
[0017] In embodiments a lending platform is provided having a robotic process
automation
system for consolidating a set of loans.
[0018] In embodiments a lending platform is provided having a robotic process
automation
system for managing a factoring loan.
[0019] In embodiments a lending platform is provided having a robotic process
automation
system for brokering a mortgage loan.
[0020] In embodiments a lending platform is provided having a crowdsourcing
and
automated classification system for validating condition of an issuer for a
bond.
[0021] In embodiments a lending platform is provided having a social network
monitoring
system with artificial intelligence for classifying a condition about a bond.
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[0022] In embodiments a lending platform is provided having an Internet of
Things data
collection and monitoring system with artificial intelligence for classifying
a condition about
a bond.
[0023] In embodiments a lending platform is provided having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored by the IoT.
[0024] In embodiments a lending platform is provided having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored in a social
network.
[0025] In embodiments a lending platform is provided having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored by
crowdsourcing.
[0026] In embodiments a lending platform is provided having an automated
blockchain
custody service for managing a set of custodial assets.
[0027] In embodiments a lending platform is provided having an underwriting
system for a
loan with a set of data-integrated microservices including data collection and
monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
underwriting lending entities and transactions.
[0028] In embodiments a lending platform is provided having a loan marketing
system with a
set of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services and smart contract
services for marketing
a loan to a set of prospective parties.
[0029] In embodiments a lending platform is provided having a rating system
with a set of
data-integrated microservices including data collection and monitoring
services, blockchain
services, artificial intelligence services, and smart contract services for
rating a set of loan-
related entities.
[0030] In embodiments a lending platform is provided having a compliance
system with a set
of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services, and smart contract
services for
automatically facilitating compliance with at least one of a law, a regulation
and a policy that
applies to a lending transaction.
BRIEF DESCRIPTION OF THE FIGURES
[0031] Fig. 1 depicts components and interactions of an embodiment of a
lending platform
having a set of data-integrated microservices including data collection and
monitoring
services for handling lending entities and transactions.
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[0032] Fig. 2 depicts components and interactions of an embodiment of a
lending platform in
which a set of lending solutions are supported by a data-integrated set of
data collection and
monitoring services, adaptive intelligent systems, and data storage systems.
[0033] Fig. 3 depicts components and interactions of an embodiment of a
lending platform
having a set of data integrated blockchain services, smart contract services,
social network
analytic services, crowdsourcing services and Internet of Things data
collection and
monitoring services for collecting, monitoring and processing information
about entities
involved in or related to a lending transaction.
[0034] Fig. 4 depicts components and interactions of a lending platform having
an Internet of
Things and sensor platform for monitoring at least one of a set of assets, a
set of collateral,
and a guarantee for a loan, a bond, or a debt transaction.
[0035] Fig. 5 depicts components and interactions of a lending platform having
a
crowdsourcing system for collecting information related to entities involved
in a lending
transaction.
[0036] Fig. 6 depicts an embodiment of a crowdsourcing workflow enabled by a
lending
platform.
[0037] Fig. 7 depicts components and interactions of an embodiment of a
lending platform
having a smart contract system that automatically adjusts an interest rate for
a loan based on
information collected via at least one of an Internet of Things system, a
crowdsourcing
system, a set of social network analytic services and a set of data collection
and monitoring
services.
[0038] Fig. 8 depicts components and interactions of an embodiment of a
lending platform
having a having a smart contract that automatically restructures debt based on
a monitored
condition.
[0039] Fig. 9 depicts components and interactions of a lending platform having
a set of data
collection and monitoring systems for validating the reliability of a
guarantee for a loan,
including an Internet of Things system and a social network analytics system.
[0040] Fig. 10 depicts components and interactions of a lending platform
having a robotic
process automation system for negotiation of a set of terms and conditions for
a loan.
[0041] Fig. 11 depicts components and interactions of a lending platform
having a robotic
process automation system for loan collection.
[0042] Fig. 12 depicts components and interactions of a lending platform
having a robotic
process automation system for consolidating a set of loans.

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[0043] Fig. 13 depicts components and interactions of a lending platform
having a robotic
process automation system for managing a factoring loan.
[0044] Fig. 14 depicts components and interactions of a lending platform
having a robotic
process automation system for brokering a mortgage loan.
[0045] Fig. 15 depicts components and interactions of a lending platform
having a
crowdsourcing and automated classification system for validating condition of
an issuer for a
bond, a social network monitoring system with artificial intelligence for
classifying a
condition about a bond, and an Internet of Things data collection and
monitoring system with
artificial intelligence for classifying a condition about a bond.
[0046] Fig. 16 depicts components and interactions of a lending platform
having a system
that manages the terms and conditions of a loan based on a parameter monitored
by the IoT,
by a parameter determined by a social network analytic system, or a parameter
determined by
a crowdsourcing system.
[0047] Fig. 17 depicts components and interactions of a lending platform
having an
automated blockchain custody service for managing a set of custodial assets.
[0048] Fig. 18 depicts components and interactions of a lending platform
having an
underwriting system for a loan with a set of data-integrated microservices
including data
collection and monitoring services, blockchain services, artificial
intelligence services, and
smart contract services for underwriting lending entities and transactions.
[0049] Fig. 19 depicts components and interactions of a lending platform
having a loan
marketing system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services and
smart contract
services for marketing a loan to a set of prospective parties.
[0050] Fig. 20 depicts components and interactions of a lending platform
having a rating
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
rating a set of loan-related entities.
[0051] Fig. 21 depicts components and interactions of a lending platform
having a regulatory
and/or compliance system with a set of data-integrated microservices including
data
collection and monitoring services, blockchain services, artificial
intelligence services, and
smart contract services for automatically facilitating compliance with at
least one of a law, a
regulation and a policy that applies to a lending transaction.
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[0052] Fig. 22 to Fig. 49 are schematic diagrams of embodiments of neural net
systems that
may connect to, be integrated in, and be accessible by the platform for
enabling intelligent
lending and transactions including ones involving expert systems, self-
organization, machine
learning, artificial intelligence and including neural net systems trained for
pattern
recognition, for classification of one or more parameters, characteristics, or
phenomena, for
support of autonomous control, and other purposes in accordance with
embodiments of the
present disclosure.
[0053] Fig. 50 depicts general components and interactions of a lending
platform.
[0054] Fig. 51 depicts components and interactions of a lending platform that
leverages
entity data to identify loan-events and initiate automatic loan-actions.
[0055] Fig. 52 depicts a method of processing entity data to initiate
automatic loan-actions.
[0056] Fig. 53 depicts components and interactions of a lending platform to
value collateral
and determine collateral condition.
[0057] Fig. 54 depicts a method of processing collateral data to determine a
collateral
condition and initiate loan-actions in response.
[0058] Fig. 55 depicts components and interactions of a lending platform.
[0059] Fig. 56 depicts a method of a lending platform.
[0060] Fig. 57 depicts components and interactions of a lending platform that
identifies a
collateral event and initiates an automatic action in response.
[0061] Fig. 58 depicts a method of a lending platform that automatically
initiates a loan-
action in response to a collateral event.
[0062] Fig. 59 depicts components and interactions of a lending platform.
[0063] Fig. 60 depicts a method of a lending platform.
[0064] Fig. 61 depicts components and interactions of a lending platform.
[0065] Fig. 62 depicts a method of a lending platform.
[0066] Fig. 63 depicts components and interactions of a lending platform.
[0067] Fig. 64 depicts a method of a lending platform.
[0068] Fig. 65 depicts components and interactions of a lending platform.
[0069] Fig. 66 depicts a method of a lending platform.
[0070] Fig. 67 depicts components and interactions of a lending platform.
[0071] Fig. 68 depicts a method of a lending platform.
[0072] Fig. 69 depicts components and interactions of a lending platform.
[0073] Fig. 70 depicts a method of a lending platform.
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[0074] Fig. 71 depicts components and interactions of a lending platform.
[0075] Fig. 72 depicts a method of a lending platform.
[0076] Fig. 73 depicts components and interactions of a lending platform.
[0077] Fig. 74 depicts a method of a lending platform.
[0078] Fig. 75 depicts components and interactions of a lending platform.
[0079] Fig. 76 depicts a method of a lending platform.
[0080] Fig. 77 depicts components and interactions of a lending platform.
[0081] Fig. 78 depicts a method of a lending platform.
[0082] Fig. 79 depicts components and interactions of a lending platform.
[0083] Fig. 80 depicts a method of a lending platform.
[0084] Fig. 81 depicts components and interactions of a lending platform.
[0085] Fig. 82 depicts a method of a lending platform.
[0086] Fig. 83 depicts components and interactions of a lending platform.
[0087] Fig. 84 depicts a method of a lending platform.
[0088] Fig. 85 depicts components and interactions of a lending platform.
[0089] Fig. 86 depicts a method of a lending platform.
[0090] Fig. 87 depicts components and interactions of a lending platform.
[0091] Fig. 88 depicts a method of a lending platform.
[0092] Fig. 89 depicts components and interactions of a lending platform.
[0093] Fig. 90 depicts a method of a lending platform.
[0094] Fig. 91 depicts components and interactions of a lending platform.
[0095] Fig. 92 depicts a method of a lending platform.
[0096] Fig. 93 depicts components and interactions of a lending platform.
[0097] Fig. 94 depicts a method of a lending platform.
[0098] Fig. 95 depicts components and interactions of a lending platform.
[0099] Fig. 96 depicts a method of a lending platform.
[00100] Fig. 97 depicts components and interactions of a lending platform.
[00101] Fig. 98 depicts a method of a lending platform.
[00102] Fig. 99 depicts components and interactions of a lending platform.
[00103] Fig. 100 depicts a method of a lending platform.
[00104] Fig. 101 depicts components and interactions of a lending platform.
[00105] Fig. 102 depicts a method of a lending platform.
[00106] Fig. 103 depicts components and interactions of a lending platform.
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[00107] Fig. 104 depicts a method of a lending platform.
[00108] Fig. 105 depicts components and interactions of a lending platform.
[00109] Fig. 106 depicts a method of a lending platform.
[00110] Fig. 107 depicts components and interactions of a lending platform.
[00111] Fig. 108 depicts a method of a lending platform.
[00112] Fig. 109 depicts components and interactions of a lending platform.
[00113] Fig. 110 depicts a method of a lending platform.
DETAILED DESCRIPTION
[00114] The term services/microservices (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a service/microservice includes any system (or platform)
configured to
functionally perform the operations of the service, where the system may be
data-integrated,
including data collection circuits, blockchain circuits, artificial
intelligence circuits, and/or
smart contract circuits for handling lending entities and transactions.
Services/microservices
may facilitate data handling and may include facilities for data extraction,
transformation and
loading; data cleansing and deduplication facilities; data normalization
facilities; data
synchronization facilities; data security facilities; computational facilities
(e.g., for
performing pre-defined calculation operations on data streams and providing an
output
stream); compression and de-compression facilities; analytic facilities (such
as providing
automated production of data visualizations), data processing facilities,
and/or data storage
facilities (including storage retention, formatting, compression, migration,
etc.), and others.
[00115] Services/microservices may include controllers, processors, network
infrastructure,
input/output devices, servers, client devices (e.g., laptops, desktops,
terminals, mobile
devices, and/or dedicated devices), sensors (e.g., IoT sensors associated with
one or more
entities, equipment, and/or collateral), actuators (e.g., automated locks,
notification devices,
lights, camera controls, etc.), virtualized versions of any one or more of the
foregoing (e.g.,
outsourced computing resources such as a cloud storage, computing operations;
virtual
sensors; subscribed data to be gathered such as stock or commodity prices,
recordal logs,
etc.), and/or include components configured as computer readable instructions
that, when
performed by a processor, cause the processor to perform one or more functions
of the
service, etc. Services may be distributed across a number of devices, and/or
functions of a
service may be performed by one or more devices cooperating to perform the
given function
of the service.
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[00116] Services/ microservices may include application programming interfaces
that
facilitate connection among the components of the system performing the
service (e.g.,
microservices) and between the system to entities (e.g., programs, web sites,
user devices,
etc.) that are external to the system. Without limitation to any other aspect
of the present
disclosure, example microservices that may be present in certain embodiments
include (a) a
multi-modal set of data collection circuits that collect information about and
monitor entities
related to a lending transaction; (b) blockchain circuits for maintaining a
secure historical
ledger of events related to a loan, the blockchain circuits having access
control features that
govern access by a set of parties involved in a loan; (c) a set of application
programming
interfaces, data integration services, data processing workflows and user
interfaces for
handling loan-related events and loan-related activities; and (d) smart
contract circuits for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities. Any of the
services/microservices
may be controlled by or have control over a controller. Certain systems may
not be
considered to be a service/microservice. For example, a point of sale device
that simply
charges a set cost for a good or service may not be a service. In another
example, a service
that tracks the cost of a good or service and triggers notifications when the
value changes
may not be a valuation service itself, but may rely on valuation services,
and/or may form a
portion of a valuation service in certain embodiments. It can be seen that a
given circuit,
controller, or device may be a service or a part of a service in certain
embodiments, such as
when the functions or capabilities of the circuit, controller, or device are
configured to
support a service or microservice as described herein, but may not be a
service or part of a
service for other embodiments (e.g., where the functions or capabilities of
the circuit,
controller, or device are not relevant to a service or microservice as
described herein). In
another example, a mobile device being operated by a user may form a portion
of a service as
described herein at a first point in time (e.g., when the user accesses a
feature of the service
through an application or other communication from the mobile device, and/or
when a
monitoring function is being performed via the mobile device), but may not
form a portion of
the service at a second point in time (e.g., after a transaction is completed,
after the user un-
installs an application, and/or when a monitoring function is stopped and/or
passed to another
device). Accordingly, the benefits of the present disclosure may be applied in
a wide variety
of processes or systems, and any such processes or systems may be considered a
service (or a
part of a service) herein.

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[00117] One of skill in the art, having the benefit of the disclosure herein
and knowledge
about a contemplated system ordinarily available to that person, can readily
determine which
aspects of the present disclosure will benefit a particular system, how to
combine processes
and systems from the present disclosure to construct, provide performance
characteristics
(e.g., bandwidth, computing power, time response, etc.), and/or provide
operational
capabilities (e.g., time between checks, up-time requirements including
longitudinal (e.g.,
continuous operating time) and/or sequential (e.g., time-of-day, calendar
time, etc.),
resolution and/or accuracy of sensing, data determinations (e.g., accuracy,
timing, amount of
data), and/or actuator confirmation capability) of components of the service
that are sufficient
to provide a given embodiment of a service, platform, and/or microservice as
described
herein. Certain considerations for the person of skill in the art, in
determining the
configuration of components, circuits, controllers, and/or devices to
implement a service,
platform, and/or microservice ("service" in the listing following) as
described herein include,
without limitation: the balance of capital costs versus operating costs in
implementing and
operating the service; the availability, speed, and/or bandwidth of network
services available
for system components, service users, and/or other entities that interact with
the service; the
response time of considerations for the service (e.g., how quickly decisions
within the service
must be implemented to support the commercial function of the service, the
operating time
for various artificial intelligence or other high computation operations)
and/or the capital or
operating cost to support a given response time; the location of interacting
components of the
service, and the effects of such locations on operations of the service (e.g.,
data storage
locations and relevant regulatory schemes, network communication limitations
and/or costs,
power costs as a function of the location, support availability for time zones
relevant to the
service, etc.); the availability of certain sensor types, the related support
for those sensors,
and the availability of sufficient substitutes (e.g., a camera may require
supportive lighting,
and/or high network bandwidth or local storage) for the sensing purpose; an
aspect of the
underlying value of an aspect of the service (e.g., a principal amount of a
loan, a value of
collateral, a volatility of the collateral value, a net worth or relative net
worth of a lender,
guarantor, and/or borrower, etc.) including the time sensitivity of the
underlying value (e.g.,
if it changes quickly or slowly relative to the operations of the service or
the term of the
loan); a trust indicator between parties of a transaction (e.g., history of
performance between
the parties, a credit rating, social rating, or other external indicator,
conformance of activity
related to the transaction to an industry standard or other normalized
transaction type, etc.);
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and/or the availability of cost recovery options (e.g., subscriptions, fees,
payment for
services, etc.) for given configurations and/or capabilities of the service,
platform, and/or
microservice. Without limitation to any other aspect of the present
disclosure, certain
operations performed by services herein include: performing real-time
alterations to a loan
based on tracked data; utilizing data to execute a collateral-backed smart
contract; re-
evaluating debt transactions in response to a tracked condition or data, and
the like. While
specific examples of services/microservices and considerations are described
herein for
purposes of illustration, any system benefitting from the disclosures herein,
and any
considerations understood to one of skill in the art having the benefit of the
disclosures
herein, are specifically contemplated within the scope of the present
disclosure.
[00118] Without limitation, services include a financial service (e.g., a loan
transaction
service), a data collection service (e.g., a data collection service for
collecting and monitoring
data), a blockchain service (e.g., a blockchain service to maintain secure
data), data
integration services (e.g., a data integration service to aggregate data),
smart contract services
(e.g., a smart contract service to determine aspects of smart contracts),
software services (e.g.,
a software service to extract data related to the entities from publicly
available information
sites), crowdsourcing services (e.g., a crowdsourcing service to solicit and
report
information), Internet of Things services (e.g., an Internet of Things service
to monitor an
environment), publishing services (e.g., a publishing services to publish
data), microservices
(e.g., having a set of application programming interfaces that facilitate
connection among the
microservices), valuation services (e.g., that use a valuation model to set a
value for collateral
based on information), artificial intelligence services, market value data
collection services
(e.g., that monitor and report on marketplace information), clustering
services (e.g., for
grouping the collateral items based on similarity of attributes), social
networking services
(e.g., that enables configuration with respect to parameters of a social
network), asset
identification services (e.g., for identifying a set of assets for which a
financial institution is
responsible for taking custody), identity management services (e.g., by which
a financial
institution verifies identities and credentials), and the like, and/or similar
functional
terminology. Example services to perform one or more functions herein include
computing
devices; servers; networked devices; user interfaces; inter-device interfaces
such as
communication protocols, shared information and/or information storage, and/or
application
programming interfaces (APIs); sensors (e.g., IoT sensors operationally
coupled to monitored
components, equipment, locations, or the like); distributed ledgers; circuits;
and/or computer
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readable code configured to cause a processor to execute one or more functions
of the
service. One or more aspects or components of services herein may be
distributed across a
number of devices, and/or may consolidated, in whole or part, on a given
device. In
embodiments, aspects or components of services herein may be implemented at
least in part
through circuits, such as, in non-limiting examples, a data collection service
implemented at
least in part as a data collection circuit structed to collect and monitor
data, a blockchain
service implemented at least in part as a blockchain circuit structured to
maintain secure data,
data integration services implemented at least in part as a data integration
circuit structured to
aggregate data, smart contract services implemented at least in part as a
smart contract circuit
structed to determine aspects of smart contracts, software services
implemented at least in
part as a software service circuit structured to extract data related to the
entities from publicly
available information sites, crowdsourcing services implemented at least in
part as a
crowdsourcing circuit structured to solicit and report information, Internet
of Things services
implemented at least in part as an Internet of Things circuit structured to
monitor an
environment, publishing services implemented at least in part as a publishing
services circuit
structured to publish data, microservice service implemented at least in part
as a microservice
circuit structured to interconnect a plurality of service circuits, valuation
service implemented
at least in part as valuation services circuit structured to access a
valuation model to set a
value for collateral based on data, artificial intelligence service
implemented at least in part as
an artificial intelligence services circuit, market value data collection
service implemented at
least in part as market value data collection service circuit structured to
monitor and report on
marketplace information, clustering service implemented at least in part as a
clustering
services circuit structured to group collateral items based on similarity of
attributes, a social
networking service implemented at least in part as a social networking
analytic services
circuit structured to configure parameters with respect to a social network,
asset identification
services implemented at least in part as an asset identification service
circuit for identifying a
set of assets for which a financial institution is responsible for taking
custody, identity
management services implemented at least in part as an identity management
service circuit
enabling a financial institution to verify identities and credentials, and the
like. Accordingly,
the benefits of the present disclosure may be applied in a wide variety of
systems, and any
such systems may be considered with respect to items and services herein,
while in certain
embodiments a given system may not be considered with respect to items and
services herein.
One of skill in the art, having the benefit of the disclosure herein and
knowledge about a
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contemplated system ordinarily available to that person, can readily determine
which aspects
of the present disclosure will benefit a particular system, and/or how to
combine processes
and systems from the present disclosure to enhance operations of the
contemplated system.
Among the considerations that one of skill in the art may contemplate to
determine a
configuration for a particular service include: the distribution and access
devices available to
one or more parties to a particular transaction; jurisdictional limitations on
the storage, type,
and communication of certain types of information; requirements or desired
aspects of
security and verification of information communication for the service; the
response time of
information gathering, inter-party communications, and determinations to be
made by
algorithms, machine learning components, and/or artificial intelligence
components of the
service; cost considerations of the service, including capital expenses and
operating costs, as
well as which party or entity will bear the costs and availability to recover
costs such as
through subscriptions, service fees, or the like; the amount of information to
be stored and/or
communicated to support the service; and/or the processing or computing power
to be
utilized to support the service.
[00119] The terms items and services (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, items and service includes any items and service, including,
without limitation,
items and services used as a reward, used as collateral, become the subject of
a negotiation,
and the like, such as, without limitation, an application for a warranty or
guarantee with
respect to an item that is the subject of a loan, collateral for a loan, or
the like, such as a
product, a service, an offering, a solution, a physical product, software, a
level of service,
quality of service, a financial instrument, a debt, an item of collateral,
performance of a
service, or other item. Without limitation to any other aspect or description
of the present
disclosure, items and service includes any items and service, including,
without limitation,
items and services as applied to physical items (e.g., a vehicle, a ship, a
plane, a building, a
home, real estate property, undeveloped land, a farm, a crop, a municipal
facility, a
warehouse, a set of inventory, an antique, a fixture, an item of furniture, an
item of
equipment, a tool, an item of machinery, and an item of personal property), a
financial item
(e.g., a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency), a
consumable item (e.g., an edible item, a beverage), a highly valued item
(e.g., a precious
metal, an item of jewelry, a gemstone), an intellectual item (e.g., an item of
intellectual
property, an intellectual property right, a contractual right), and the like.
Accordingly, the
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benefits of the present disclosure may be applied in a wide variety of
systems, and any such
systems may be considered with respect to items and services herein, while in
certain
embodiments a given system may not be considered with respect to items and
services herein.
One of skill in the art, having the benefit of the disclosure herein and
knowledge about a
contemplated system ordinarily available to that person, can readily determine
which aspects
of the present disclosure will benefit a particular system, and/or how to
combine processes
and systems from the present disclosure to enhance operations of the
contemplated system.
[00120] The terms agent, automated agent, and similar terms as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, an agent or automated agent may process events relevant to at
least one of the
value, the condition, and the ownership of items of collateral or assets. The
agent or
automated agent may also undertake an action related to a loan, debt
transaction, bond
transaction, subsidized loan, or the like to which the collateral or asset is
subject, such as in
response to the processed events. The agent or automated agent may interact
with a
marketplace for purposes of collecting data, testing spot market transactions,
executing
transactions, and the like, where dynamic system behavior involves complex
interactions that
a user may desire to understand, predict, control, and/or optimize. Certain
systems may not be
considered an agent or an automated agent. For example, if events are merely
collected but
not processed, the system may not be an agent or automated agent. In some
embodiments, if a
loan-related action is undertaken not in response to a processed event, it may
not have been
undertaken by an agent or automated agent. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure include
and/or benefit
from agents or automated agent. Certain considerations for the person of skill
in the art, or
embodiments of the present disclosure with respect to an agent or automated
agent include,
without limitation: rules that determine when there is a change in a value,
condition or
ownership of an asset or collateral, and/or rules to determine if a change
warrants a further
action on a loan or other transaction, and other considerations. While
specific examples of
market values and marketplace information are described herein for purposes of
illustration,
any embodiment benefitting from the disclosures herein, and any considerations
understood
to one of skill in the art having the benefit of the disclosures herein are
specifically
contemplated within the scope of the present disclosure.

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[00121] The term marketplace information, market value and similar terms as
utilized
herein should be understood broadly. Without limitation to any other aspect or
description of
the present disclosure, marketplace information and market value describes a
status or value
of an asset, collateral, food, or service at a defined point or period in
time. Market value may
refer to the expected value placed on an item in a marketplace or auction
setting, or pricing or
financial data for items that are similar to the item, asset, or collateral in
at least one public
marketplace. For a company, market value may be the number of its outstanding
shares
multiplied by the current share price. Valuation services may include market
value data
collection services that monitor and report on marketplace information
relevant to the value
(e.g. market value) of collateral, the issuer, a set of bonds, and a set of
assets. a set of
subsidized loans, a party, and the like. Market values may be dynamic in
nature because they
depend on an assortment of factors, from physical operating conditions to
economic climate
to the dynamics of demand and supply. Market value may be affected by, and
marketplace
information may include, proximity to other assets, inventory or supply of
assets, demand for
assets, origin of items, history of items, underlying current value of item
components, a
bankruptcy condition of an entity, a foreclosure status of an entity, a
contractual default status
of an entity, a regulatory violation status of an entity, a criminal status of
an entity, an export
controls status of an entity, an embargo status of an entity, a tariff status
of an entity, a tax
status of an entity, a credit report of an entity, a credit rating of an
entity, a website rating of
an entity, a set of customer reviews for a product of an entity, a social
network rating of an
entity, a set of credentials of an entity, a set of referrals of an entity, a
set of testimonials for
an entity, a set of behavior of an entity, a location of an entity, and a
geolocation of an entity.
In certain embodiments, a market value may include information such as a
volatility of a
value, a sensitivity of a value (e.g., relative to other parameters having an
uncertainty
associated therewith), and/or a specific value of the valuated object to a
particular party (e.g.,
an object may have more value as possessed by a first party than as possessed
by a second
party).
[00122] Certain information may not be marketplace information or a market
value. For
example, where variables related to a value are not market-derived, they may
be a value-in-
use or an investment value. In certain embodiments, an investment value may be
considered a
market value (e.g., when the valuating party intends to utilize the asset as
an investment if
acquired), and not a market value in other embodiments (e.g., when the
valuating party
intends to immediately liquidate the investment if acquired). One of skill in
the art, having
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the benefit of the disclosure herein and knowledge about a contemplated system
ordinarily
available to that person, can readily determine which aspects of the present
disclosure will
benefit from marketplace information or a market value. Certain considerations
for the person
of skill in the art, in determining whether the term market value is referring
to an asset, item,
collateral, good, or service include: the presence of other similar assets in
a marketplace, the
change in value depending on location, an opening bid of an item exceeding a
list price, and
other considerations. While specific examples of market values and marketplace
information
are described herein for purposes of illustration, any embodiment benefitting
from the
disclosures herein, and any considerations understood to one of skill in the
art having the
benefit of the disclosures herein are specifically contemplated within the
scope of the present
disclosure.
[00123] The term apportion value or apportioned value and similar terms as
utilized herein
should be understood broadly. Without limitation to any other aspect or
description of the
present disclosure, apportion value describes a proportional distribution or
allocation of value
proportionally, or a process to divide and assign value according to a rule of
proportional
distribution. Apportionment of the value may be to several parties (e.g., each
of the several
parties is a beneficiary of a portion of the value), to several transactions
(e.g., each of the
transactions utilizes a portion of the value), and/or in a many-to-many
relationship (e.g., a
group of objects has an aggregate value that is apportioned between a number
of parties
and/or transactions). In some embodiments, the value may be a net loss and the
apportioned
value is the allocation of a liability to each entity. In other embodiments,
apportioned value
may refer to the distribution or allocation of an economic benefit, real
estate, collateral or the
like. In certain embodiments, apportionment may include a consideration of the
value
relative to the parties ¨ for example, a S10 million asset apportioned 50/50
between two
parties, where the parties have distinct value considerations for the asset,
may result in one
party crediting the apportionment differing resulting values from the
apportionment. In
certain embodiments, apportionment may include a consideration of the value
relative to
given transactions ¨ for example a first type of transaction (e.g., a long-
term loan) may have a
different valuation of a given asset than a second type of transaction (e.g.,
a short-term line of
credit).
[00124] Certain conditions or processes may not relate to apportioned value.
For example,
the total value of an item may provide its inherent worth, but not how much of
the value is
held by each identified entity. One of skill in the art, having the benefit of
the disclosure
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herein and knowledge about apportioned value, can readily determine which
aspects of the
present disclosure will benefit a particular application for apportioned
value. Certain
considerations for the person of skill in the art, or embodiments of the
present disclosure with
respect to an apportioned value include, without limitation: the currency of
the principal sum,
the anticipated transaction type (loan, bond or debt), the specific type of
collateral, the ratio
of the loan to value, the ratio of the collateral to the loan, the gross
transaction/loan amount,
the amount of the principal sum, the number of entities owed, the value of the
collateral, and
the like. While specific examples of apportioned values are described herein
for purposes of
illustration, any embodiment benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein are
specifically contemplated within the scope of the present disclosure.
[00125] The term financial condition and similar terms as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, financial condition describes a current status of an entity's
assets, liabilities, and
equity positions at a defined point or period in time. The financial condition
may be
memorialized in financial statement. The financial condition may further
include an
assessment of the ability of the entity to survive future risk scenarios or
meet future or
maturing obligations. Financial condition may be based on a set of attributes
of the entity
selected from among a publicly stated valuation of the entity, a set of
property owned by the
entity as indicated by public records, a valuation of a set of property owned
by the entity, a
bankruptcy condition of an entity, a foreclosure status of an entity, a
contractual default status
of an entity, a regulatoly violation status of an entity, a criminal status of
an entity, an export
controls status of an entity, an embargo status of an entity, a tariff status
of an entity, a tax
status of an entity, a credit report of an entity, a credit rating of an
entity, a website rating of
an entity, a set of customer reviews for a product of an entity, a social
network rating of an
entity, a set of credentials of an entity, a set of referrals of an entity, a
set of testimonials for
an entity, a set of behavior of an entity, a location of an entity, and a
geolocation of an entity.
A financial condition may also describe a requirement or threshold for an
agreement or loan.
For example, conditions for allowing a developer to proceed may be various
certifications
and their agreement to a financial payout. That is, the developer's ability to
proceed is
conditioned upon a financial element, among others. Certain conditions may not
be a
financial condition. For example, a credit card balance alone may be a clue as
to the financial
condition, but may not be the financial condition on its own. In another
example, a payment
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schedule may determine how long a debt may be on an entity's balance sheet,
but in a silo
may not accurately provide a financial condition. One of skill in the art,
having the benefit of
the disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure include
and/or will
benefit from a financial condition. Certain considerations for the person of
skill in the art, in
determining whether the term financial condition is referring to a current
status of an entity's
assets, liabilities, and equity positions at a defined point or period in time
and/or for a given
purpose include: the reporting of more than one financial data point, the
ratio of a loan to
value of collateral, the ratio of the collateral to the loan, the gross
transaction/loan amount,
the credit scores of the borrower and the lender, and other considerations.
While specific
examples of financial conditions are described herein for purposes of
illustration, any
embodiment benefitting from the disclosures herein, and any considerations
understood to
one of skill in the art having the benefit of the disclosures herein are
specifically
contemplated within the scope of the present disclosure.
[00126] The term interest rate and similar terms, as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure,
interest rate includes an amount of interest due per period, as a proportion
of an amount lent,
deposited or borrowed. The total interest on an amount lent or borrowed may
depend on the
principal sum, the interest rate, the compounding frequency, and the length of
time over
which it is lent, deposited or borrowed. Typically, interest rate is expressed
as an annual
percentage but can be defined for any time period. The interest rate relates
to the amount a
bank or other lender charges to borrow its money, or the rate a bank or other
entity pays its
savers for keeping money in an account. Interest rate may be variable or
fixed. For example,
an interest rate may vary in accordance with a government or other stakeholder
directive, the
currency of the principal sum lent or borrowed, the term to maturity of the
investment, the
perceived default probability of the borrower, supply and demand in the
market, the amount
of collateral, the status of an economy, or special features like call
provisions. In certain
embodiments, an interest rate may be a relative rate (e.g., relative to a
prime rate, an inflation
index, etc.). In certain embodiments, an interest rate may further consider
costs or fees
applied (e.g., "points") to adjust the interest rate. A nominal interest rate
may not be adjusted
for inflation while a real interest rate takes inflation into account. Certain
examples may not
be an interest rate for purposes of particular embodiments. For example, a
bank account
growing by a fixed dollar amount each year, and/or a fixed fee amount, may not
be an
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example of an interest rate for certain embodiments. One of skill in the art,
having the benefit
of the disclosure herein and knowledge about interest rates, can readily
determine the
characteristics of an interest rate for a particular embodiment. Certain
considerations for the
person of skill in the art, or embodiments of the present disclosure with
respect to an interest
rate include, without limitation: the currency of the principal sum, variables
for setting an
interest rate, criteria for modifying an interest rate, the anticipated
transaction type (loan,
bond or debt), the specific type of collateral, the ratio of the loan to
value, the ratio of the
collateral to the loan, the gross transaction/loan amount, the amount of the
principal sum, the
appropriate lifespans of transactions and/or collateral for a particular
industry, the likelihood
that a lender will sell and/or consolidate a loan before the term, and the
like. While specific
examples of interest rates are described herein for purposes of illustration,
any embodiment
benefitting from the disclosures herein, and any considerations understood to
one of skill in
the art having the benefit of the disclosures herein are specifically
contemplated within the
scope of the present disclosure.
[00127] The term valuation services (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a valuation service includes any service that sets a value for a
good or service.
Valuation services may use a valuation model to set a value for collateral
based on
information from data collection and monitoring services. Smart contract
services may
process output from the set of valuation services and assign items of
collateral sufficient to
provide security for a loan and/or apportion value for an item of collateral
among a set of
lenders and/or transactions. Valuation services may include artificial
intelligence services that
may iteratively improve the valuation model based on outcome data relating to
transactions in
collateral. Valuation services may include market value data collection
services that may
monitor and report on marketplace information relevant to the value of
collateral. Certain
processes may not be considered to be a valuation service. For example, a
point of sale device
that simply charges a set cost for a good or service may not be a valuation
service. In another
example, a service that tracks the cost of a good or service and triggers
notifications when the
value changes may not be a valuation service itself, but may rely on valuation
services and/or
form a part of a valuation service. Accordingly, the benefits of the present
disclosure may be
applied in a wide variety of processes systems, and any such processes or
systems may be
considered a valuation service herein, while in certain embodiments a given
service may not
be considered a valuation service herein. One of skill in the art, having the
benefit of the

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disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system and how to combine processes and systems from the present disclosure to
enhance
operations of the contemplated system and/or to provide a valuation service.
Certain
considerations for the person of skill in the art, in determining whether a
contemplated
system is a valuation service and/or whether aspects of the present disclosure
can benefit or
enhance the contemplated system include, without limitation: perform real-time
alterations to
a loan based on a value of a collateral; utilize marketplace data to execute a
collateral-backed
smart contract; re-evaluate collateral based on a storage condition or
geolocation; the
tendency of the collateral to have a volatile value, be utilized, and/or be
moved; and the like.
While specific examples of valuation services and considerations are described
herein for
purposes of illustration, any system benefitting from the disclosures herein,
and any
considerations understood to one of skill in the art having the benefit of the
disclosures
herein, are specifically contemplated within the scope of the present
disclosure.
[00128] The term collateral attributes (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, collateral attributes include any identification of the durability
(ability of the
collateral to withstand wear or the useful life of the collateral), value,
identification (does the
collateral have definite characteristics that make it easy to identify or
market), stability of
value (does the collateral maintain value over time), standardization, grade,
quality,
marketability, liquidity, transferability, desirability, trackability,
deliverability (ability of the
collateral be delivered or transfer without a deterioration in value), market
transparency (is
the collateral value easily verifiable or widely agreed upon), physical or
virtual. Collateral
attributes may be measured in absolute or relative terms, and/or may include
qualitative (e.g.,
categorical descriptions) or quantitative descriptions. Collateral attributes
may be different
for different industries, products, elements, uses, and the like. Collateral
attributes may be
assigned quantitative or qualitative values. Values associated with collateral
attributes may be
based on a scale (such as 1-10) or a relative designation (high, low, better,
etc.). Collateral
may include various components; each component may have collateral attributes.
Collateral
may, therefore, have multiple values for the same collateral attribute. In
some embodiments,
multiple values of collateral attributes may be combined to generate one value
for each
attribute. Some collateral attributes may apply only to specific portions of
collateral. Some
collateral attributes, even for a given component of the collateral, may have
distinct values
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depending upon the party of interest (e.g., a party that values an aspect of
the collateral more
highly than another party) and/or depending upon the type of transaction
(e.g., the collateral
may be more valuable or appropriate for a first type of loan than for a second
type of loan).
Certain attributes associated with collateral may not be collateral attributes
as described
herein depending upon the purpose of the collateral attributes herein. For
example, a product
may be rated as durable relative to similar products; however, if the life of
the product is
much lower than the term of a particular loan in consideration, the durability
of the product
may be rated differently (e.g., not durable) or irrelevant (e.g., where the
current inventory of
the product is attached as the collateral, and is expected to change out
during the term of the
loan). Accordingly, the benefits of the present disclosure may be applied to a
variety of
attributes, and any such attributes may be considered collateral attributes
herein, while in
certain embodiments a given attribute may not be considered a collateral
attribute herein. One
of skill in the art, having the benefit of the disclosure herein and knowledge
about
contemplated collateral attributes ordinarily available to that person, can
readily determine
which aspects of the present disclosure will benefit a particular collateral
attribute. Certain
considerations for the person of skill in the art, in determining whether a
contemplated
attribute is a collateral attribute and/or whether aspects of the present
disclosure can benefit
or enhance the contemplated system include, without limitation: the source of
the attribute
and the source of the value of the attribute (e.g. does the attribute and
attribute value comes
from a reputable source), the volatility of the attribute (e.g. does the
attribute values for the
collateral fluctuate, is the attribute a new attribute for the collateral),
relative differences in
attribute values for similar collateral, exceptional values for attributes
(e.g., some attribute
values may be high, such as, in the 98th percentile or very low, such as in
the 2nd percentile,
compared to similar class of collateral), the fungibility of the collateral,
the type of
transaction related to the collateral, and/or the purpose of the utilization
of collateral for a
particular party or transaction. While specific examples of collateral
attributes and
considerations are described herein for purposes of illustration, any system
benefitting from
the disclosures herein, and any considerations understood to one of skill in
the art having the
benefit of the disclosures herein, are specifically contemplated within the
scope of the present
disclosure.
[00129] The term blockchain services (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, blockchain services includes any service related to the
processing, recordation,
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and/or updating of a blockchain, and may include services for processing
blocks, computing
hash values, generating new blocks in a blockchain, appending a block to the
blockchain,
creating a fork in the blockchain, merging of forks in the blockchain,
verifying previous
computations, updating a shared ledger, updating a distributed ledger,
generating
cryptographic keys, verifying transactions, maintaining a blockchain, updating
a blockchain,
verifying a blockchain, generating random numbers. The services may be
performed by
execution of computer readable instructions on local computers and/or by
remote servers and
computers. Certain services may not be considered blockchain services
individually but may
be considered blockchain services based on the final use of the service and/or
in a particular
embodiment ¨ for example, a computing a hash value may be performed in a
context outside
of a blockchain such in the context of secure communication. Some initial
services may be
invoked without first being applied to blockchains, but further actions or
services in
conjunction with the initial services may associate the initial service with
aspects of
blockchains. For example, a random number may be periodically generated and
stored in
memory; the random numbers may initially not be generated for blockchain
purposes but
may be utilized for blockchains. Accordingly, the benefits of the present
disclosure may be
applied in a wide variety of services, and any such services may be considered
blockchain
services herein, while in certain embodiments a given service may not be
considered a
blockchain service herein. One of skill in the art, having the benefit of the
disclosure herein
and knowledge about a contemplated blockchain service ordinarily available to
that person,
can readily determine which aspects of the present disclosure can be
configured to
implement, and/or will benefit, a particular blockchain service. Certain
considerations for the
person of skill in the art, in determining whether a contemplated service is a
blockchain
service and/or whether aspects of the present disclosure can benefit or
enhance the
contemplated system include, without limitation: the application of the
service, the source of
the service (e.g., if the service is associated with a known or verifiable
blockchain service
provider), responsiveness of the service (e.g., some blockchain services may
have an
expected completion time, and/or may be determined through utilization), cost
of the service,
the amount of data requested for the service, and/or the amount of data
generated by the
service (blocks of blockchain or keys associated with blockchains may be a
specific size or a
specific range of sizes). While specific examples of blockchain services and
considerations
are described herein for purposes of illustration, any system benefitting from
the disclosures
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herein, and any considerations understood to one of skill in the art having
the benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00130] The term blockchain (and variations such as cryptocurrency ledger, and
the like) as
utilized herein may be understood broadly to describe a cryptocurrency ledger
that records,
administrates or otherwise processes online transactions. A blockchain may be
public,
private, or a combination thereof, without limitation. A blockchain may also
be used to
represent a set of digital transactions, agreement, terms or other digital
value. Without
limitation to any other aspect or description of the present disclosure, in
the former case, a
blockchain may also be used in conjunction with investment applications, token-
trading
applications, and/or digital/cryptocurrency based marketplaces. A blockchain
can also be
associated with rendering consideration, such as providing goods, services,
items, fees, access
to a restricted area or event, data or other valuable benefit. Blockchains in
various forms may
be included where discussing a unit of consideration, collateral, currency,
cryptocurrency or
any other form of value. One of skill in the art, having the benefit of the
disclosure herein and
knowledge ordinarily available about a contemplated system, can readily
determine the value
symbolized or represented by a blockchain. While specific examples of
blockchains are
described herein for purposes of illustration, any embodiment benefitting from
the disclosures
herein, and any considerations understood to one of skill in the art having
the benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00131] The terms ledger and distributed ledger (and similar terms) as
utilized herein should
be understood broadly. Without limitation to any other aspect or description
of the present
disclosure, a ledger may be a document, file, computer file, database, book,
and the like
which maintains a record of transactions. Ledgers may be physical or digital.
Ledgers may
include records related to sales, accounts, purchases, transactions, assets,
liabilities, incomes,
expenses, capital, and the like. Ledgers may provide a history of transactions
that may be
associated with time. Ledgers may be centralized or decentralized/distributed.
A centralized
ledger may be a document that is controlled, updated, or viewable by one or
more selected
entities or a clearinghouse and wherein changes or updates to the ledger are
governed or
controlled by the entity or clearinghouse. A distributed ledger may be a
ledger that is
distributed across a plurality of entities, participants or regions which may
independently,
concurrently, or consensually, update, or modify their copies of the ledger.
Ledgers and
distributed ledgers may include security measures and cryptographic functions
for signing,
concealing, or verifying content. In the case of distributed ledgers,
blockchain technology
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may be used. In the case of distributed ledgers implemented using blockchain,
the ledger may
be Merkle trees comprising a linked list of nodes in which each node contains
hashed or
encrypted transactional data of the previous nodes. Certain records of
transactions may not be
considered ledgers. A file, computer file, database, or book may or may not be
a ledger
depending on what data it stores, how the data is organized, maintained, or
secured. For
example, a list of transactions may not be considered a ledger if it cannot be
trusted or
verified, and/or if it is based on inconsistent, fraudulent, or incomplete
data. Data in ledgers
may be organized in any format such as tables, lists, binary streams of data,
or the like which
may depend on convenience, source of data, type of data, environment,
applications, and the
like. A ledger that is shared among various entities may not be a distributed
ledger, but the
distinction of distributed may be based on which entities are authorized to
make changes to
the ledger and/or how the changes are shared and processed among the different
entities.
Accordingly, the benefits of the present disclosure may be applied in a wide
variety of data,
and any such data may be considered ledgers herein, while in certain
embodiments a given
data may not be considered a ledger herein. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about contemplated ledgers and distributed
ledger ordinarily
available to that person, can readily determine which aspects of the present
disclosure can be
utilized to implement, and/or will benefit a particular ledger. Certain
considerations for the
person of skill in the art, in determining whether a contemplated data is a
ledger and/or
whether aspects of the present disclosure can benefit or enhance the
contemplated ledger
include, without limitation: the security of the data in the ledger (can the
data be tampered
or modified), the time associated with making changes to the data in the
ledger, cost of
making changes (computationally and monetarily), detail of data, organization
of data (does
the data need to be processed for use in an application), who controls the
ledger (can the party
be trusted or relied to manage the ledger), confidentiality of the data (who
can see or track the
data in the ledger), size of the infrastructure, communication requirements
(distributed
ledgers may require a communication interface or specific infrastructure),
resiliency. While
specific examples of blockchain services and considerations are described
herein for purposes
of illustration, any system benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00132] The term loan (and similar terms) as utilized herein should be
understood broadly.
Without limitation to any other aspect or description of the present
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an agreement related to an asset that is borrowed, and that is expected to be
returned in kind
(e.g., money borrowed and money returned) or as an agreed transaction (e.g., a
first good or
service is borrowed, and money, a second good or service, or a combination, is
returned).
Assets may be money, property, time, physical objects, virtual objects,
services, a right (e.g.,
a ticket, a license, or other right), a depreciation amount, a credit (e.g., a
tax credit, an
emissions credit, etc.), an agreed assumption of a risk or liability, and/or
any combination
thereof. A loan may be based on a formal or informal agreement between a
borrower and a
lender wherein a lender may provide an asset to the borrower for a predefined
amount of
time, a variable period of time, or indefinitely. Lenders and borrowers may be
individuals,
entities, corporations, governments, groups of people, organizations, and the
like. Loan types
may include mortgage loans, personal loans, secured loans, unsecured loans,
concessional
loans, commercial loans, microloans, and the like. The agreement between the
borrower and
the lender may specify terms of the loan. The borrower may be required to
return an asset or
repay with a different asset than was borrowed. In some cases, a loan may
require interest to
be repaid on the borrowed asset. Borrowers and lenders may be intermediaries
between other
entities and may never possess or use the asset. In some embodiments, a loan
may not be
associated with direct transfer of goods but may be associated with usage
rights or shared
usage rights. In certain embodiments, the agreement between the borrower and
the lender
may be executed between the borrower and the lender, and/or executed between
an
intermediary (e.g., a beneficiary of a loan right such as through a sale of
the loan). In certain
embodiment, the agreement between the borrower and the lender may be executed
through
services herein, such as through a smart contract service that determines at
least a portion of
the terms and conditions of the loans, and in certain embodiments may commit
the borrower
and/or the lender to the terms of the agreement, which may be a smart
contract. In certain
embodiments, the smart contract service may populate the terms of the
agreement, and
present them to the borrower and/or lender for execution. In certain
embodiments, the smart
contract service may automatically commit one of the borrower or the lender to
the terms (at
least as an offer), and may present the offer to the other one of the borrower
or the lender for
execution. In certain embodiments, a loan agreement may include multiple
borrowers and/or
multiple lenders, for example where a set of loans includes a number of
beneficiaries of
payment on the set of loans, and/or a number of borrowers on the set of loans.
In certain
embodiments, the risks and/or obligations of the set of loans may be
individualized (e.g., each
borrower and/or lender is related to specific loans of the set of loans),
apportioned (e.g., a
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default on a particular loan has an associated loss apportioned between the
lenders), and/or
combinations of these (e.g., one or more subsets of the set of loans is
treated individually
and/or apportioned).
[00133] Certain agreements may not be considered a loan. An agreement to
transfer or
borrow assets may not be a loan depending on what assets are transferred, how
the assets
were transferred, or the parties involved. For example, in some cases, the
transfer of assets
may be for an indefinite time and may be considered a sale of the asset or a
permanent
transfer. Likewise, if an asset is borrowed or transferred without clear or
definite terms or
lack of consensus between the lender and the borrower it may, in some cases,
not be
considered a loan. An agreement may be considered a loan even if a formal
agreement is not
directly codified in a written agreement as long as the parties willingly and
knowingly agreed
to the arrangement, and/or ordinary practices (e.g., in a particular industry)
may treat the
transaction as a loan. Accordingly, the benefits of the present disclosure may
be applied in a
wide variety of agreements, and any such agreement may be considered a loan
herein, while
in certain embodiments a given agreement may not be considered a loan herein.
One of skill
in the art, having the benefit of the disclosure herein and knowledge about
contemplated
loans ordinarily available to that person, can readily determine which aspects
of the present
disclosure implement a loan, utilize a loan, or benefit a particular loan
transaction. Certain
considerations for the person of skill in the art, in determining whether a
contemplated data is
a loan and/or whether aspects of the present disclosure can benefit or enhance
the
contemplated loan include, without limitation: the value of the assets
involved, the ability of
the borrower to return or repay the loan, the types of assets involved (e.g.,
whether the asset
is consumed through utilization), the repayment time frame associated with the
loan, the
interest on the loan, how the agreement of the loan was arranged, formality of
the agreement,
detail of the agreement, the detail of the agreements of the loan, the
collateral attributes
associated with the loan, and/or the ordinary business expectations of any of
the foregoing in
a particular context. While specific examples of loans and considerations are
described herein
for purposes of illustration, any system benefitting from the disclosures
herein, and any
considerations understood to one of skill in the art having the benefit of the
disclosures
herein, are specifically contemplated within the scope of the present
disclosure.
[00134] The term loan related event(s) (and similar terms, including loan-
related events) as
utilized herein should be understood broadly. Without limitation to any other
aspect or
description of the present disclosure, a loan related events may include any
event related to
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terms of the loan or events triggered by the agreement associated with the
loan. Loan-related
events may include default on loan, breach of contract, fulfillment,
repayment, payment,
change in interest, late fee assessment, refund assessment, distribution, and
the like. Loan-
related events may be triggered by explicit agreement terms; for example ¨ an
agreement may
specify a rise in interest rate after a time period has elapsed from the
beginning of the loan;
the rise in interest rate triggered by the agreement may be a loan related
event. Loan-related
events may be triggered implicitly by related loan agreement terms. In certain
embodiments,
any occurrence that may be considered relevant to assumptions of the loan
agreement, and/or
expectations of the parties to the loan agreement, may be considered an
occurrence of an
event. For example, if collateral for a loan is expected to be replaceable
(e.g., an inventory as
collateral), then a change in inventory levels may be considered an occurrence
of a loan
related event. In another example, if review and/or confirmation of the
collateral is expected,
then a lack of access to the collateral, the disablement or failure of a
monitoring sensor, etc.
may be considered an occurrence of a loan related event. In certain
embodiments, circuits,
controllers, or other devices described herein may automatically trigger the
determination of
a loan-related events. In some embodiments, loan-related events may be
triggered by entities
that manage loans or loan-related contracts. Loan-related events may be
conditionally
triggered based on one or more conditions in the loan agreement. Loan related
events may be
related to tasks or requirements that need to be completed by the lender,
borrower, or a third
party. Certain events may be considered loan-related events in certain
embodiments and/or in
certain contexts, but may not be considered a loan-related event in another
embodiment or
context. Many events may be associated with loans but may be caused by
external triggers
not associated with a loan. However, in certain embodiments, an externally
triggered event
(e.g., a commodity price change related to a collateral item) may be loan-
related events in
certain embodiments. For example, renegotiation of loan terms initiated by a
lender may not
be considered a loan related event if the terms and/or performance of the
existing loan
agreement did not trigger the renegotiation. Accordingly, the benefits of the
present
disclosure may be applied in a wide variety of events, and any such event may
be considered
a loan related event herein, while in certain embodiments given events may not
be considered
a loan related event herein. One of skill in the art, having the benefit of
the disclosure herein
and knowledge about a contemplated system ordinarily available to that person,
can readily
determine which aspects of the present disclosure may be considered a loan-
related event for
the contemplated system and/or for particular transactions supported by the
system. Certain
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considerations for the person of skill in the art, in determining whether a
contemplated data is
a loan related event and/or whether aspects of the present disclosure can
benefit or enhance
the contemplated transaction system include, without limitation: the impact of
the related
event on the loan (events that cause default or termination of the loan may
have higher
impact), the cost (capital and/or operating) associated with the event, the
cost (capital and/or
operating) associated with monitoring for an occurrence of the event, the
entities responsible
for responding to the event, a time period and/or response time associated
with the event
(e.g., time required to complete the event and time that is allotted from the
time the event is
triggered to when processing or detection of the event is desired to occur),
the entity
responsible for the event, the data required for processing the event (e.g.,
confidential
information may have different safeguards or restrictions), the availability
of mitigating
actions if an undetected event occurs, and/or the remedies available to an at-
risk party if the
event occurs without detection. While specific examples of loan-related events
and
considerations are described herein for purposes of illustration, any system
benefitting from
the disclosures herein, and any considerations understood to one of skill in
the art having the
benefit of the disclosures herein, are specifically contemplated within the
scope of the present
disclosure.
[00135] The term loan-related activities (and similar terms) as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a loan related activity may include activities related to the
generation,
maintenance, termination, collection, enforcement, servicing, billing,
marketing, ability to
perform, or negotiation of a loan. Loan-related activity may include
activities related to the
signing of a loan agreement or a promissory note, review of loan documents,
processing of
payments, evaluation of collateral, evaluation of compliance of the borrower
or lender to the
loan terms, renegotiation of terms, perfection of security or collateral for
the loan, and/or a
negation of terms. Loan-related activities may relate to events associated
with a loan before
formal agreement on the terms, such as activities associated with initial
negotiations. Loan-
related activities may relate to events during the life of the loan and after
the termination of a
loan. Loan-related activities may be performed by a lender, borrower, or a
third party. Certain
activities may not be considered loan related activities services individually
but may be
considered loan related activities based on the specificity of the activity to
the loan lifecycle¨
for example, billing or invoicing related to outstanding loans may be
considered a loan
related activity, however when the invoicing or billing of loans is combined
with billing or
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invoicing for non loan-related elements the invoicing may not be considered a
loan related
activity. Some activities may be performed in relation to an asset regardless
if a loan is
associated with the asset; in these cases, the activity may not be considered
a loan related
activity. For example, regular audits related to an asset may occur regardless
if the asset is
associated with a loan and may not be considered a loan related activity. In
another example,
a regular audit related to an asset may be required by a loan agreement and
would not
typically occur but for the association with a loan, in this case, the
activity may be considered
a loan related activity. In some embodiments, activities may be considered
loan-related
activities if the activity would otherwise not occur if the loan is not active
or present, but may
still be considered a loan-related activity in some instances (e.g., if
auditing occurs normally,
but the lender does not have the ability to enforce or review the audit, then
the audit may be
considered a loan-related activity even though it already occurs otherwise).
Accordingly, the
benefits of the present disclosure may be applied in a wide variety of events,
and any such
event may be considered a loan related event herein, while in certain
embodiments given
events may not be considered a loan related events herein. One of skill in the
art, having the
benefit of the disclosure herein and knowledge about a contemplated system
ordinarily
available to that person, can readily determine a loan related activity for
the purposes of the
contemplated system. Certain considerations for the person of skill in the
art, in determining
whether a contemplated data is a loan related activity and/or whether aspects
of the present
disclosure can benefit or enhance the contemplated loan include, without
limitation: the
necessity of the activity for the loan (can the loan agreement or terms be
satisfied without the
activity), the cost of the activity, the specificity of the activity to the
loan (is the activity
similar or identical to other industries), time involved in the activity, the
impact of the
activity on a loan life cycle, entity performing the activity, amount of data
required for the
activity (does the activity require confidential information related to the
loan, or personal
information related to the entities), and/or the ability of parties to enforce
and/or review the
activity. While specific examples of loan-related events and considerations
are described
herein for purposes of illustration, any system benefitting from the
disclosures herein, and
any considerations understood to one of skill in the art having the benefit of
the disclosures
herein, are specifically contemplated within the scope of the present
disclosure.
[00136] The terms loan-terms, loan terms, terms for a loan, terms and
conditions, and the
like as utilized herein should be understood broadly ("loan terms"). Without
limitation to any
other aspect or description of the present disclosure, loan terms may relate
to conditions,

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rules, limitations, contract obligations, and the like related to the timing,
repayment,
origination, and other enforceable conditions agreed to by the borrower and
the lender of the
loan. Loan terms may be specified in a formal contract between a borrower and
the lender.
Loan terms may specify aspects of an interest rate, collateral, foreclose
conditions,
consequence of debt, payment options, payment schedule, a covenant, and the
like. Loan
terms may be negotiable or may change during the life of a loan. Loan terms
may be change
or be affected by outside parameters such as market prices, bond prices,
conditions associated
with a lender or borrower, and the like. Certain aspects of a loan may not be
considered loan
terms. In certain embodiments, aspects of loan that have not been formally
agreed upon
between a lender and a borrower, and/or that are not ordinarily understood in
the course of
business (and/or the particular industry) may not be considered loan terms.
Certain aspects of
a loan may be preliminary or informal until they have been formally agreed or
confirmed in a
contract or a formal agreement. Certain aspects of a loan may not be
considered loan terms
individually but may not be considered loan terms based on the specificity of
the aspect to a
specific loan. Certain aspects of a loan may not be considered loan terms at a
particular time
during the loan, but may be considered loan terms at another time during the
loan (e.g.,
obligations and/or waivers that may occur through the performance of the
parties, and/or
expiration of a loan term). For example, an interest rate may generally not be
considered a
loan term until it is defined in relation of a loan and defined as to how the
interest
compounded (annual, monthly), calculated, and the like. An aspect of a loan
may not be
considered a term if it is indefinite or unenforceable. Some aspects may be
manifestations or
related to terms of a loan but may themselves not be the terms. For example, a
loan term be
the repayment period of a loan, such as one year. The term may not specify how
the loan is to
be repaid in the year. The loan may be repaid with 12 monthly payments or one
annual
payment. A monthly payment plan in this case may not be considered a loan term
as it just
one or many options for repayment not directly specified by a loan.
Accordingly, the benefits
of the present disclosure may be applied in a wide variety of loan aspects,
and any such
aspect may be considered a loan term herein, while in certain embodiments
given aspects
may not be considered loan terms herein. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure are loan
terms for the
contemplated system.
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[00137] Certain considerations for the person of skill in the art, in
determining whether a
contemplated data is a loan term and/or whether aspects of the present
disclosure can benefit
or enhance the contemplated loan include, without limitation: the
enforceability of the terms
(can the conditions be enforced by the lender or the lender or the borrower),
the cost of
enforcing the terms (amount of time, or effort required ensure the conditions
are being
followed), the complexity of the terms (how easily can they be followed or
understood by the
parties involved, are the terms error prone or easily misunderstood), entities
responsible for
the terms, fairness of the terms, stability of the terms (how often do they
change),
observability of the terms (can the terms be verified by a another party),
favorability of the
terms to one party (do the terms favor the borrower or the lender), risk
associated with the
loan (terms may depend on the probability that the loan may not be repaid),
characteristics of
the borrower or lender (their ability to meet the terms), and/or ordinary
expectations for the
loan and/or related industry.
[00138] While specific examples of loan terms are described herein for
purposes of
illustration, any system benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00139] The term loan conditions, loan-conditions, conditions for a loan,
terms and
conditions, and the like as utilized herein should be understood broadly
("loan conditions").
Without limitation to any other aspect or description of the present
disclosure, loan conditions
may relate to rules, limits, and/or obligations related to a loan. Loan
conditions may relate to
rules or necessary obligations for obtaining a loan, for maintaining a loan,
for applying for a
loan, for transferring a loan, and the like. Loan conditions may include
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, treatment of collateral, access to collateral,
a party, a guarantee,
a guarantor, a security, a personal guarantee, a lien, a duration, a covenant,
a foreclose
condition, a default condition, conditions related to other debts of the
borrower, and a
consequence of default.
[00140] Certain aspects of a loan may not be considered loan conditions.
Aspects of loan
that have not been formally agreed upon between a lender and a borrower,
and/or that are not
ordinarily understood in the course of business (and/or the particular
industry), may not be
considered loan conditions. Certain aspects of a loan may be preliminary or
informal until
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they have been formally agreed or confirmed in a contract or a formal
agreement. Certain
aspects of a loan may not be considered loan conditions individually but may
be considered
loan conditions based on the specificity of the aspect to a specific loan.
Certain aspects of a
loan may not be considered loan conditions at a particular time during the
loan, but may be
considered loan conditions at another time during the loan (e.g., obligations
and/or waivers
that may occur through the performance of the parties, and/or expiration of a
loan condition).
Accordingly, the benefits of the present disclosure may be applied in a wide
variety of loan
aspects, and any such aspect may be considered loan conditions herein, while
in certain
embodiments given aspects may not be considered loan conditions herein. One of
skill in the
art, having the benefit of the disclosure herein and knowledge about a
contemplated system
ordinarily available to that person, can readily determine which aspects of
the present
disclosure are loan conditions for the contemplated system. Certain
considerations for the
person of skill in the art, in determining whether a contemplated data is a
loan condition
and/or whether aspects of the present disclosure can benefit or enhance the
contemplated loan
include, without limitation: the enforceability of the condition (can the
conditions be enforced
by the lender or the lender or the borrower), the cost of enforcing the
condition (amount of
time, or effort required ensure the conditions are being followed), the
complexity of the
condition (how easily can they be followed or understood by the parties
involved, are the
conditions error prone or easily misunderstood), entities responsible for the
conditions,
fairness of the conditions, observability of the conditions (can the
conditions be verified by a
another party), favorability of the conditions to one party (do the conditions
favor the
borrower or the lender), risk associated with the loan (conditions may depend
on the
probability that the loan may not be repaid), and/or ordinary expectations for
the loan and/or
related industry.
[00141] While specific examples of loan conditions are described herein for
purposes of
illustration, any system benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00142] The term loan collateral, collateral, item of collateral, collateral
item, and the like as
utilized herein should be understood broadly. Without limitation to any other
aspect or
description of the present disclosure, a loan collateral may relate to any
asset or property that
a borrower promises to a lender as backup in exchange for a loan, and/or as
security for the
loan. Collateral may be any item of value that is accepted as an alternate
form of repayment
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in case of default on a loan. Collateral may include any number of physical or
virtual items
such as a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual property,
an intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property. Collateral
may include more than one item or types of items.
[00143] A collateral item may describe an asset, a property, a value or other
item defined as
a security for a loan or a transaction. A set of collateral items may be
defined, and within that
set substitution, removal or addition of collateral items may be effected. For
example, a
collateral item may be, without limitation: a vehicle, a ship, a plane, a
building, a home, real
estate property, undeveloped land, a farm, a crop, a municipal facility, a
warehouse, a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual right,
an antique, a fixture, an item of furniture, an item of equipment, a tool, an
item of machinery,
or an item of personal property, or the like. If a set or plurality of
collateral items is defined,
substitution, removal or addition of collateral items may be effected, such as
substituting,
removing or adding a collateral item to or from a set of collateral items.
Without limitation to
any other aspect or description of the present disclosure, a collateral item
or set of collateral
items may also be used in conjunction with other terms to an agreement or
loan, such as a
representation, a warranty, an indemnity, a covenant, a balance of debt, a
fixed interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment schedule, a
specification of collateral, a specification of substitutability of
collateral, a security, a
personal guarantee, a lien, a duration, a foreclose condition, a default
condition, and a
consequence of default. In certain embodiments, a smart contract may calculate
whether a
borrower has satisfied conditions or covenants and in cases where the borrower
has not
satisfied such conditions or covenants, may enable automated action or trigger
another
conditions or terms that may affect the status, ownership or transfer of a
collateral item, or
initiate the substitution, removal or addition of collateral items to a set of
collateral for a loan.
One of skill in the art, having the benefit of the disclosure herein and
knowledge about
collateral items, can readily determine the purposes and use of collateral
items in various
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embodiments and contexts disclosed herein, including the substitution, removal
and addition
thereof.
[00144] While specific examples of loan collateral are described herein for
purposes of
illustration, any system benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00145] The term smart contract services (and similar terms) as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a smart contract service includes any service or application that
manages a smart
contract or a smart lending contract. For example, the smart contract service
may specify
terms and conditions of a smart contract, such as in a rules database, or
process output from a
set of valuation services and assign items of collateral sufficient to provide
security for a
loan. Smart contract services may automatically execute a set of rules or
conditions that
embody the smart contract, wherein the execution may be based on or take
advantage of
collected data. Smart contract services may automatically initiate a demand
for payment of a
loan, automatically initiate a foreclosure process, automatically initiate an
action to claim
substitute or backup collateral or transfer ownership of collateral,
automatically initiate an
inspection process, automatically change a payment or interest rate term that
is based on the
collateral, and may also configure smart contracts to automatically undertake
a loan-related
action. Smart contracts may govern at least one of loan terms and conditions,
loan-related
events and loan-related activities. Smart contracts may be agreements that are
encoded as
computer protocols and may facilitate, verify, or enforce the negotiation or
performance of a
smart contract. Smart contracts may or may not be one or more of partially or
fully self-
executing, or partially or fully self-enforcing.
[00146] Certain processes may not be considered to be smart-contract related
individually,
but may be considered smart-contract related in an aggregated system ¨ for
example
automatically undertaking a loan-related action may not be smart contract-
related in one
instance, but in another instance, may be governed by terms of a smart
contract. Accordingly,
the benefits of the present disclosure may be applied in a wide variety of
processes systems,
and any such processes or systems may be considered a smart contract or smart
contract
service herein, while in certain embodiments a given service may not be
considered a smart
contract service herein.

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[00147] One of skill in the art, having the benefit of the disclosure herein
and knowledge
about a contemplated system ordinarily available to that person, can readily
determine which
aspects of the present disclosure will benefit a particular system and how to
combine
processes and systems from the present disclosure to implement a smart
contract service
and/or enhance operations of the contemplated system. Certain considerations
for the person
of skill in the art, in determining whether a contemplated system includes a
smart contract
service or smart contract and/or whether aspects of the present disclosure can
benefit or
enhance the contemplated system include, without limitation: ability to
transfer ownership of
collateral automatically in response to an event; automated actions available
upon a finding
of covenant compliance (or lack of compliance); the amenity of the collateral
to clustering,
re-balancing, distribution, addition, substitution, and removal of items from
collateral; the
modification parameters of an aspect of a loan in response to an event (e.g.,
timing,
complexity, suitability for the loan type, etc.); the complexity of terms and
conditions of
loans for the system, including benefits from rapid determination and/or
predictions of
changes to entities (e.g., in the collateral, a financial condition of a
party, offset collateral,
and/or in an industry related to a party) related to the loan; the suitability
of automated
generation of terms and conditions and/or execution of terms and conditions
for the types of
loans, parties, and/or industries contemplated for the system; and the like.
While specific
examples of smart contract services and considerations are described herein
for purposes of
illustration, any system benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00148] The term IoT system (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure, an
IoT system includes any system of uniquely identified and interrelated
computing devices,
mechanical and digital machines, sensors and objects that are able to transfer
data over a
network without intervention. Certain components may not be considered an IoT
system
individually, but may be considered an IoT system in an aggregated system ¨
for example a
single networked
[00149] The sensor, smart speaker, and/or medical device may be not an IoT
system, but
may be a part of a larger system and/or be accumulated with a number of other
similar
components to be considered an IoT system and/or a part of an IoT system. In
certain
embodiments, a system may be considered an IoT system for some purposes but
not for other
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purposes ¨ for example a smart speaker may be considered part of an IoT system
for certain
operations, such as for providing surround sound, or the like, but not part of
an IoT system
for other operations such as directly streaming content from a single, locally
networked
source. Additionally, in certain embodiments, otherwise similar looking
systems may be
differentiated in determining whether such systems are IoT systems, and/or
which type of IoT
system. For example, one group of medical devices may not, at a given time, be
sharing to an
aggregated HER database, while another group of medical devices may be sharing
data to an
aggregate HER for the purposes of a clinical study, and accordingly one group
of medical
devices may be an IoT system, while the other is not. Accordingly, the
benefits of the present
disclosure may be applied in a wide variety of systems, and any such systems
may be
considered an IoT system herein, while in certain embodiments a given system
may not be
considered an IoT system herein. One of skill in the art, having the benefit
of the disclosure
herein and knowledge about a contemplated system ordinarily available to that
person, can
readily determine which aspects of the present disclosure will benefit a
particular system,
how to combine processes and systems from the present disclosure to enhance
operations of
the contemplated system, and which circuits, controllers, and/or devices
include an IoT
system for the contemplated system. Certain considerations for the person of
skill in the art,
in determining whether a contemplated system is an IoT system and/or whether
aspects of the
present disclosure can benefit or enhance the contemplated system include,
without
limitation: the transmission environment of the system (e.g., availability of
low power, inter-
device networking); the shared data storage of a group of devices;
establishment of a
geofence by a group of devices; service as blockchain nodes; the performance
of asset,
collateral, or entity monitoring; the relay of data between devices; ability
to aggregate data
from a plurality of sensors or monitoring devices, and the like. While
specific examples of
IoT systems and considerations are described herein for purposes of
illustration, any system
benefitting from the disclosures herein, and any considerations understood to
one of skill in
the art having the benefit of the disclosures herein, are specifically
contemplated within the
scope of the present disclosure.
[00150] The term data collection services (and similar terms) as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a data collection service includes any service that collects data
or information,
including any circuit, controller, device, or application that may store,
transmit, transfer,
share, process, organize, compare, report on and/or aggregate data. The data
collection
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service may include data collection devices (e.g., sensors) and/or may be in
communication
with data collection devices. The data collection service may monitor
entities, such as to
identify data or information for collection. The data collection service may
be event-driven,
run on a periodic basis, or retrieve data from an application at particular
points in the
application's execution. Certain processes may not be considered to be a data
collection
service individually, but may be considered a data collection service in an
aggregated system
¨ for example a networked storage device may be a component of a data
collection service in
one instance, but in another instance, may have stand-alone functionality.
Accordingly, the
benefits of the present disclosure may be applied in a wide variety of
processes systems, and
any such processes or systems may be considered a data collection service
herein, while in
certain embodiments a given service may not be considered a data collection
service herein.
One of skill in the art, having the benefit of the disclosure herein and
knowledge about a
contemplated system ordinarily available to that person, can readily determine
which aspects
of the present disclosure will benefit a particular system and how to combine
processes and
systems from the present disclosure implement a data collection service and/or
to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is a data collection service
and/or whether
aspects of the present disclosure can benefit or enhance the contemplated
system include,
without limitation: ability to modify a business rule on the fly and alter a
data collection
protocol; perform real-time monitoring of events; connection of a device for
data collection
to a monitoring infrastructure, execution of computer readable instructions
that cause a
processor to log or track events; use of an automated inspection system;
occurrence of sales
at a networked point-of-sale; need for data from one or more distributed
sensors or cameras;
and the like. While specific examples of data collection services and
considerations are
described herein for purposes of illustration, any system benefitting from the
disclosures
herein, and any considerations understood to one of skill in the art having
the benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00151] The term data integration services (and similar terms) as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, a data integration service includes any service that integrates
data or information,
including any device or application that may extract, transform, load,
normalize, compress,
decompress, encode, decode, and otherwise process data packets, signals, and
other
information. The data integration service may monitor entities, such as to
identify data or
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information for integration. The data integration service may integrate data
regardless of
required frequency, communication protocol, or business rules needed for
intricate
integration patterns. Accordingly, the benefits of the present disclosure may
be applied in a
wide variety of processes systems, and any such processes or systems may be
considered a
data integration service herein, while in certain embodiments a given service
may not be
considered a data integration service herein. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system and how to combine processes and systems from the present disclosure to
implement
a data integration service and/or enhance operations of the contemplated
system. Certain
considerations for the person of skill in the art, in determining whether a
contemplated
system is a data integration service and/or whether aspects of the present
disclosure can
benefit or enhance the contemplated system include, without limitation:
ability to modify a
business rule on the fly and alter a data integration protocol; communication
with third party
databases to pull in data to integrate with; synchronization of data across
disparate platforms;
connection to a central data warehouse; data storage capacity, processing
capacity, and/or
communication capacity distributed throughout the system; the connection of
separate,
automated workflows; and the like. While specific examples of data integration
services and
considerations are described herein for purposes of illustration, any system
benefitting from
the disclosures herein, and any considerations understood to one of skill in
the art having the
benefit of the disclosures herein, are specifically contemplated within the
scope of the present
disclosure.
[00152] The term computational services (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, computational services may be included as a part of one or more
services,
platforms, or microservices, such as blockchain services, data collection
services, data
integration services, valuation services, smart contract services, data
monitoring services,
data mining, and/or any service that facilitates collection, access,
processing, transformation,
analysis, storage, visualization, or sharing of data. Certain processes may
not be considered to
be a computational service. For example, a process may not be considered a
computational
service depending on the sorts of rules governing the service, an end product
of the service,
or the intent of the service. Accordingly, the benefits of the present
disclosure may be applied
in a wide variety of processes systems, and any such processes or systems may
be considered
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a computational service herein, while in certain embodiments a given service
may not be
considered a computational service herein. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system and how to combine processes and systems from the present disclosure to
implement
one or more computational service, and/or to enhance operations of the
contemplated system.
Certain considerations for the person of skill in the art, in determining
whether a
contemplated system is a computational service and/or whether aspects of the
present
disclosure can benefit or enhance the contemplated system include, without
limitation:
agreement-based access to the service; mediate an exchange between different
services;
provides on demand computational power to a web service; accomplishes one or
more of
monitoring, collection, access, processing, transformation, analysis, storage,
integration,
visualization, mining, or sharing of data. While specific examples of
computational services
and considerations are described herein for purposes of illustration, any
system benefitting
from the disclosures herein, and any considerations understood to one of skill
in the art
having the benefit of the disclosures herein, are specifically contemplated
within the scope of
the present disclosure.
[00153] The term sensor as utilized herein should be understood broadly.
Without limitation
to any other aspect or description of the present disclosure, a sensor may be
a device, module,
machine, or subsystem that detects or measures a physical quality, event or
change. In
embodiments, may record, indicate, transmit, or otherwise respond to the
detection or
measurement. Examples of sensors may be sensors for sensing movement of
entities, for
sensing temperatures, pressures or other attributes about entities or their
environments,
cameras that capture still or video images of entities, sensors that collect
data about collateral
or assets, such as, for example, regarding the location, condition (health,
physical, or
otherwise), quality, security, possession, or the like. In embodiments,
sensors may be
sensitive to, but not influential on, the property to be measured but
insensitive to other
properties. Sensors may be analog or digital. Sensors may include processors,
transmitters,
transceivers, memory, power, sensing circuit, electrochemical fluid
reservoirs, light sources,
and the like. Further examples of sensors contemplated for use in the system
include
biosensors, chemical sensors, black silicon sensor, IR sensor, acoustic
sensor, induction
sensor, motion sensor, optical sensor, opacity sensor, proximity sensor,
inductive sensor,
Eddy-current sensor, passive infrared proximity sensor, radar, capacitance
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displacement sensor, hall-effect sensor, magnetic sensor, GPS sensor, thermal
imaging
sensor, thermocouple, thermistor, photoelectric sensor, ultrasonic sensor,
infrared laser
sensor, inertial motion sensor, MEMS internal motion sensor, ultrasonic 3D
motion sensor,
accelerometer, inclinometer, force sensor, piezoelectric sensor, rotary
encoders, linear
encoders, ozone sensor, smoke sensor, heat sensor, magnetometer, carbon
dioxide detector,
carbon monoxide detector, oxygen sensor, glucose sensor, smoke detector, metal
detector,
rain sensor, altimeter, GPS, detection of being outside, detection of context,
detection of
activity, object detector (e.g. collateral), marker detector (e.g. geo-
location marker), laser
rangefinder, sonar, capacitance, optical response, heart rate sensor, or an
RF/micropower
impulse radio (MIR) sensor. In certain embodiments, a sensor may be a virtual
sensor ¨ for
example determining a parameter of interest as a calculation based on other
sensed
parameters in the system. In certain embodiments, a sensor may be a smart
sensor ¨ for
example reporting a sensed value as an abstracted communication (e.g., as a
network
communication) of the sensed value. In certain embodiments, a sensor may
provide a sensed
value directly (e.g., as a voltage level, frequency parameter, etc.) to a
circuit, controller, or
other device in the system. One of skill in the art, having the benefit of the
disclosure herein
and knowledge about a contemplated system ordinarily available to that person,
can readily
determine which aspects of the present disclosure will benefit from a sensor.
Certain
considerations for the person of skill in the art, in determining whether a
contemplated device
is a sensor and/or whether aspects of the present disclosure can benefit from
or be enhanced
by the contemplated sensor include, without limitation: the conditioning of an
activation/deactivation of a system to an environmental quality; the
conversion of electrical
output into measured quantities; the ability to enforce a geofence; the
automatic modification
of a loan in response to change in collateral; and the like. While specific
examples of sensors
and considerations are described herein for purposes of illustration, any
system benefitting
from the disclosures herein, and any considerations understood to one of skill
in the art
having the benefit of the disclosures herein, are specifically contemplated
within the scope of
the present disclosure.
[00154] The term storage condition and similar terms, as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, storage condition includes an environment, physical location,
environmental
quality, level of exposure, security measures, maintenance description,
accessibility
description, and the like related to the storage of an asset, collateral, or
an entity specified and
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monitored in a contract, loan, or agreement or backing the contract, loan or
other agreement,
and the like. Based on a storage condition of a collateral, an asset, or
entity, actions may be
taken to, maintain, improve, and/or confirm a condition of the asset or the
use of that asset as
collateral. Based on a storage condition, actions may be taken to alter the
terms or conditions
of a loan or bond. Storage condition may be classified in accordance with
various rules,
thresholds, conditional procedures, workflows, model parameters, and the like
and may be
based on self-reporting or on data from Internet of Things devices, data from
a set of
environmental condition sensors, data from a set of social network analytic
services and a set
of algorithms for querying network domains, social media data, crowdsourced
data, and the
like. The storage condition may be tied to a geographic location relating to
the collateral, the
issuer, the borrower, the distribution of the funds or other geographic
locations. Examples of
IoT data may include images, sensor data, location data, and the like.
Examples of social
media data or crowdsourced data may include behavior of parties to the loan,
financial
condition of parties, adherence to a parties to a term or condition of the
loan, or bond, or the
like. Parties to the loan may include issuers of a bond, related entities,
lender, borrower, 3rd
parties with an interest in the debt. Storage condition may relate to an asset
or type of
collateral such as a municipal asset, a vehicle, a ship, a plane, a building,
a home, real estate
property, undeveloped land, a farm, a crop, a municipal facility, a warehouse,
a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual right,
an antique, a fixture, an item of furniture, an item of equipment, a tool, an
item of machinery,
and an item of personal property. The storage condition may include an
environment where
environment may include an environment selected from among a municipal
environment, a
corporate environment, a securities trading environment, a real property
environment, a
commercial facility, a warehousing facility, a transportation environment, a
manufacturing
environment, a storage environment, a home, and a vehicle. Actions based on
the storage
condition of a collateral, an asset or an entity may include managing,
reporting on, altering,
syndicating, consolidating, terminating, maintaining, modifying terms and/or
conditions,
foreclosing an asset, or otherwise handling a loan, contract, or agreement.
One of skill in the
art, having the benefit of the disclosure herein and knowledge about a
contemplated storage
condition, can readily determine which aspects of the present disclosure will
benefit a
particular application for a storage condition. Certain considerations for the
person of skill in
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the art, or embodiments of the present disclosure in choosing an appropriate
storage condition
to manage and/or monitor, include, without limitation: the legality of the
condition given the
jurisdiction of the transaction, the data available for a given collateral,
the anticipated
transaction type (loan, bond or debt), the specific type of collateral, the
ratio of the loan to
value, the ratio of the collateral to the loan, the gross transaction/loan
amount, the credit
scores of the borrower and the lender, ordinary practices in the industry, and
other
considerations. While specific examples of storage conditions are described
herein for
purposes of illustration, any embodiment benefitting from the disclosures
herein, and any
considerations understood to one of skill in the art having the benefit of the
disclosures herein
are specifically contemplated within the scope of the present disclosure.
[00155] The term geolocation and similar terms, as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure,
geolocation includes the identification or estimation of the real-world
geographic location of
an object, including the generation of a set of geographic coordinates (e.g.
latitude and
longitude) and/or street address. Based on a geolocation of a collateral, an
asset, or entity,
actions may be taken to maintain or improve a condition of the asset or the
use of that asset as
collateral. Based on a geolocation, actions may be taken to alter the terms or
conditions of a
loan or bond. Based on a geolocation, determinations or predictions related to
a transaction
may be performed ¨ for example based upon the weather, civil unrest in a
particular area,
and/or local disasters (e.g., an earthquake, flood, tornado, hurricane,
industrial accident, etc.).
Geolocations may be determined in accordance with various rules, thresholds,
conditional
procedures, workflows, model parameters, and the like and may be based on self-
reporting or
on data from Internet of Things devices, data from a set of environmental
condition sensors,
data from a set of social network analytic services and a set of algorithms
for querying
network domains, social media data, crowdsourced data, and the like. Examples
of
geolocation data may include GPS coordinates, images, sensor data, street
address, and the
like. Geolocation data may be quantitative (e.g., longitude/latitude, relative
to a platt map,
etc.) and/or qualitative (e.g., categorical such as "coastal", "rural", etc.;
"within New York
City", etc.). Geolocation data may be absolute (e.g., GPS location) or
relative (e.g., within
100 yards of an expected location). Examples of social media data or
crowdsourced data may
include behavior of parties to the loan as inferred by their geolocation,
financial condition of
parties inferred by geolocation, adherence of parties to a term or condition
of the loan, or
bond, or the like. Geolocation may be determined for an asset or type of
collateral such as a
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municipal asset, a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a consumable
item, an edible
item, a beverage, a precious metal, an item of jewelry, a gemstone, an
antique, a fixture, an
item of furniture, an item of equipment, a tool, an item of machinery, and an
item of personal
property. Geolocation may be determined for an entity such as one of the
parties, a third-
party (e.g., an inspection service, maintenance service, cleaning service,
etc. relevant to a
transaction), or any other entity related to a transaction. The geolocation
may include an
environment selected from among a municipal environment, a corporate
environment, a
securities trading environment, a real property environment, a commercial
facility, a
warehousing facility, a transportation environment, a manufacturing
environment, a storage
environment, a home, and a vehicle. Actions based on the geolocation of a
collateral, an asset
or an entity may include managing, reporting on, altering, syndicating,
consolidating,
terminating, maintaining, modifying terms and/or conditions, foreclosing an
asset, or
otherwise handling a loan, contract, or agreement. One of skill in the art,
having the benefit of
the disclosure herein and knowledge about a contemplated system, can readily
determine
which aspects of the present disclosure will benefit a particular application
for a geolocation,
and which location aspect of an item is a geolocation for the contemplated
system. Certain
considerations for the person of skill in the art, or embodiments of the
present disclosure in
choosing an appropriate geolocation to manage, include, without limitation:
the legality of the
geolocation given the jurisdiction of the transaction, the data available for
a given collateral,
the anticipated transaction type (loan, bond or debt), the specific type of
collateral, the ratio
of the loan to value, the ratio of the collateral to the loan, the gross
transaction/loan amount,
the frequency of travel of the borrower to certain jurisdictions and other
considerations, the
mobility of the collateral, and/or a likelihood of location-specific event
occurrence relevant to
the transaction (e.g., weather, location of a relevant industrial facility,
availability of relevant
services, etc.). While specific examples of geolocation are described herein
for purposes of
illustration, any embodiment benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein are
specifically contemplated within the scope of the present disclosure.
[00156] The term jurisdictional location and similar terms, as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, jurisdictional location refers to the laws and legal authority
governing a loan
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entity. The jurisdictional location may be based on a geolocation of an
entity, a registration
location of an entity (e.g. a ship's flag state, a state of incorporation for
a business, and the
like), a granting state for certain rights such as intellectual priority, and
the like. In certain
embodiments, a jurisdictional location may be one or more of the geolocations
for an entity in
the system. In certain embodiments, a jurisdictional location may not be the
same as the
geolocation of any entity in the system (e.g., where an agreement specifies
some other
jurisdiction). In certain embodiments, a jurisdictional location may vary for
entities in the
system (e.g., borrower at A, lender at B, collateral positioned at C,
agreement enforced at D,
etc.). In certain embodiments, a jurisdictional location for a given entity
may vary during the
operations of the system (e.g., due to movement of collateral, related data,
changes in terms
and conditions, etc.). In certain embodiments, a given entity of the system
may have more
than one jurisdictional location (e.g., due to operations of the relevant law,
and/or options
available to one or more parties), and/or may have distinct jurisdictional
locations for
different purposes. A jurisdictional location of an item of collateral, an
asset, or entity,
actions may dictate certain terms or conditions of a loan or bond, and/or may
indicate
different obligations for notices to parties, foreclosure and/or default
execution, treatment of
collateral and/or debt security, and/or treatment of various data within the
system. While
specific examples of jurisdictional location are described herein for purposes
of illustration,
any embodiment benefitting from the disclosures herein, and any considerations
understood
to one of skill in the art having the benefit of the disclosures herein are
specifically
contemplated within the scope of the present disclosure.
[00157] The terms token of value, token, and variations such as cryptocurrency
token, and
the like, as utilized herein, in the context of increments of value, may be
understood broadly
to describe either: (a) a unit of currency or cryptocurrency (e.g. a
cryptocurrency token), and
(b) may also be used to represent a credential that can be exchanged for a
good, service, data
or other valuable consideration (e.g. a token of value). Without limitation to
any other aspect
or description of the present disclosure, in the former case, a token may also
be used in
conjunction with investment applications, token-trading applications, and
token-based
marketplaces. In the latter case, a token can also be associated with
rendering consideration,
such as providing goods, services, fees, access to a restricted area or event,
data or other
valuable benefit. Tokens can be contingent (e.g. contingent access token) or
not contingent.
For example, a token of value may be exchanged for accommodations, (e.g. hotel
rooms),
dining/food goods and services, space (e.g. shared space, workspace,
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fitness/wellness goods or services, event tickets or event admissions, travel,
flights or other
transportation, digital content, virtual goods, license keys, or other
valuable goods, services,
data or consideration. Tokens in various forms may be included where
discussing a unit of
consideration, collateral, or value, whether currency, cryptocurrency or any
other form of
value such as goods, services, data or other benefits. One of skill in the
art, having the benefit
of the disclosure herein and knowledge about a token, can readily determine
the value
symbolized or represented by a token, whether currency, cryptocurrency, good,
service, data
or other value. While specific examples of tokens are described herein for
purposes of
illustration, any embodiment benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00158] The term pricing data as utilized herein may be understood broadly to
describe a
quantity of information such as a price or cost, of one or more items in a
marketplace.
Without limitation to any other aspect or description of the present
disclosure, pricing data
may also be used in conjunction with spot market pricing, forward market
pricing, pricing
discount information, promotional pricing, and other information relating to
the cost or price
of items. Pricing data may satisfy one or more conditions, or may trigger
application of one
or more rules of a smart contract. Pricing data may be used in conjunction
with other forms of
data such as market value data, accounting data, access data, asset and
facility data, worker
data, event data, underwriting data, claims data or other forms of data.
Pricing data may be
adjusted for the context of the valued item (e.g., condition, liquidity,
location, etc.) and/or for
the context of a particular party. One of skill in the art, having the benefit
of the disclosure
herein and knowledge about pricing data, can readily determine the purposes
and use of
pricing data in various embodiments and contexts disclosed herein.
[00159] Without limitation to any other aspect or description of the present
disclosure, a
token includes any token including, without limitation, a token of value, such
as collateral, an
asset, a reward, such as in a token serving as representation of value, such
as a value holding
voucher that can be exchanged for goods or services. Certain components may
not be
considered tokens individually, but may be considered tokens in an aggregated
system ¨ for
example, a value placed on an asset may not be in itself be a token, but the
value of an asset
may be placed in a token of value, such as to be stored, exchanged, traded,
and the like. For
instance, in a non-limiting example, a blockchain circuit may be structured to
provide lenders
a mechanism to store the value of assets, where the value attributed to the
token is stored in a
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distributed ledger of the blockchain circuit, but the token itself, assigned
the value, may be
exchanged or traded such as through a token marketplace. In certain
embodiments, a toke
may be considered a token for some purposes but not for other purposes ¨ for
example a
token may be used to as an indication of ownership of an asset, but this use
of a token would
not be traded as a value where a token including the value of the asset might.
Accordingly,
the benefits of the present disclosure may be applied in a wide variety of
systems, and any
such systems may be considered a token herein, while in certain embodiments a
given system
may not be considered a token herein. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is a token and/or whether
aspects of the
present disclosure can benefit or enhance the contemplated system include,
without
limitation, access data such as relating to rights of access, tickets, and
tokens; use in an
investment application such as for investment in shares, interests, and
tokens; a token-trading
application; a token-based marketplace; forms of consideration such as
monetary rewards and
tokens; translating the value of a resources in tokens; a cryptocurrency
token; indications of
ownership such as identity information, event information, and token
information; a
blockchain-based access token traded in a marketplace application; pricing
application such
as for setting and monitoring pricing for contingent access rights, underlying
access rights,
tokens, and fees; trading applications such as for trading or exchanging
contingent access
rights or underlying access rights or tokens; tokens created and stored on a
blockchain for
contingent access rights resulting in an ownership (e.g., a ticket); and the
like.
[00160] The term financial data as utilized herein may be understood broadly
to describe a
collection of financial information about an asset, collateral or other item
or items. Financial
data may include revenues, expenses, assets, liabilities, equity, bond
ratings, default, return
on assets (ROA), return on investment (ROI), past performance, expected future
performance, earnings per share (EPS), internal rate of return (IRR), earnings
announcements, ratios, statistical analysis of any of the foregoing (e.g.
moving averages), and
the like. Without limitation to any other aspect or description of the present
disclosure,
financial data may also be used in conjunction with pricing data and market
value data.
Financial data may satisfy one or more conditions, or may trigger application
of one or more
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rules of a smart contract. Financial data may be used in conjunction with
other forms of data
such as market value data, pricing data, accounting data, access data, asset
and facility data,
worker data, event data, underwriting data, claims data or other forms of
data. One of skill in
the art, having the benefit of the disclosure herein and knowledge about
financial data, can
readily determine the purposes and use of pricing data in various embodiments
and contexts
disclosed herein.
[00161] The term covenant as utilized herein may be understood broadly to
describe a term,
agreement or promise, such as performance of some action or inaction. For
example, a
covenant may relate to behavior of a party or legal status of a party. Without
limitation to any
other aspect or description of the present disclosure, a covenant may also be
used in
conjunction with other related terms to an agreement or loan, such as a
representation, a
warranty, an indemnity, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of
collateral, a specification of substitutability of collateral, a party, a
guarantee, a guarantor, a
security, a personal guarantee, a lien, a duration, a foreclose condition, a
default condition,
and a consequence of default. A covenant or lack of performance of a covenant
may satisfy
one or more conditions, or may trigger collection, breach or other terms and
conditions. In
certain embodiments, a smart contract may calculate whether a covenant is
satisfied and in
cases where the covenant is not satisfied, may enable automated action or
trigger other
conditions or terms. One of skill in the art, having the benefit of the
disclosure herein and
knowledge about covenants, can readily determine the purposes and use of
covenants in
various embodiments and contexts disclosed herein.
[00162] The term entity as utilized herein may be understood broadly to
describe a party, a
third-party (e.g., an auditor, regulator, service provider, etc.), and/or an
identifiable related
object such as an item of collateral related to a transaction. Example
entities include an
individual, partnership, corporation, limited liability company or other legal
organization.
Other example entities include an identifiable item of collateral, offset
collateral, potential
collateral, or the like. For example, an entity may be a given party, such as
an individual, to
an agreement or loan. Data or other terms herein may be characterized as
having a context
relating to an entity, such as entity-oriented data. An entity may be
characterized with a
specific context or application, such as a human entity, physical entity,
transactional entity or
a financial entity, without limitation. An entity may have representatives
that represent or act
on its behalf. Without limitation to any other aspect or description of the
present disclosure,
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an entity may also be used in conjunction with other related entities or terms
to an agreement
or loan, such as a representation, a warranty, an indemnity, a covenant, a
balance of debt, a
fixed interest rate, a variable interest rate, a payment amount, a payment
schedule, a balloon
payment schedule, a specification of collateral, a specification of
substitutability of collateral,
a party, a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a
foreclose condition, a default condition, and a consequence of default. An
entity may have a
set of attributes such as: a publicly stated valuation, a set of property
owned by the entity as
indicated by public records, a valuation of a set of property owned by the
entity, a bankruptcy
condition, a foreclosure status, a contractual default status, a regulatory
violation status, a
criminal status, an export controls status, an embargo status, a tariff
status, a tax status, a
credit report, a credit rating, a website rating, a set of customer reviews
for a product of an
entity, a social network rating, a set of credentials, a set of referrals, a
set of testimonials, a
set of behavior, a location, and a geolocation, without limitation. In certain
embodiments, a
smart contract may calculate whether an entity has satisfied conditions or
covenants and in
cases where the entity has not satisfied such conditions or covenants, may
enable automated
action or trigger other conditions or terms. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about entities, can readily determine the
purposes and use of
entities in various embodiments and contexts disclosed herein.
[00163] The term party as utilized herein may be understood broadly to
describe a member
of an agreement, such as an individual, partnership, corporation, limited
liability company or
other legal organization. For example, a party may be a primary lender, a
secondary lender, a
lending syndicate, a corporate lender, a government lender, a bank lender, a
secured lender, a
bond issuer, a bond purchaser, an unsecured lender, a guarantor, a provider of
security, a
borrower, a debtor, an underwriter, an inspector, an assessor, an auditor, a
valuation
professional, a government official, an accountant or other entities having
rights or
obligations to an agreement, transaction or loan. A party may characterize a
different term,
such as transaction as in the term multi-party transaction, where multiple
parties are involved
in a transaction, or the like, without limitation. A party may have
representatives that
represent or act on its behalf. In certain embodiments, the term party may
reference a
potential party or a prospective party ¨ for example an intended lender or
borrower
interacting with a system, that may not yet be committed to an actual
agreement during the
interactions with the system. Without limitation to any other aspect or
description of the
present disclosure, an party may also be used in conjunction with other
related parties or
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terms to an agreement or loan, such as a representation, a warranty, an
indemnity, a covenant,
a balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a payment
schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, an entity, a guarantee, a guarantor, a
security, a personal
guarantee, a lien, a duration, a foreclose condition, a default condition, and
a consequence of
default. A party may have a set of attributes such as: an identity, a
creditworthiness, an
activity, a behavior, a business practice, a status of performance of a
contract, information
about accounts receivable, information about accounts payable, information
about the value
of collateral, and other types of information, without limitation. In certain
embodiments, a
smart contract may calculate whether a party has satisfied conditions or
covenants and in
cases where the party has not satisfied such conditions or covenants, may
enable automated
action or trigger other conditions or terms. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about parties, can readily determine the
purposes and use of
parties in various embodiments and contexts disclosed herein.
[00164] The term party attribute, entity attribute, or party/entity attribute
as utilized herein
may be understood broadly to describe a value, characteristic, or status of a
party or entity.
For example, attributes of a party or entity may be, without limitation:
value, quality,
location, net worth, price, physical condition, health condition, security,
safety, ownership,
identity, creditworthiness, activity, behavior, business practice, status of
performance of a
contract, information about accounts receivable, information about accounts
payable,
information about the value of collateral, and other types of information, and
the like. In
certain embodiments, a smart contract may calculate values, status or
conditions associated
with attributes of a party or entity, and in cases where the party or entity
has not satisfied
such conditions or covenants, may enable automated action or trigger other
conditions or
terms. One of skill in the art, having the benefit of the disclosure herein
and knowledge about
attributes of a party or entity, can readily determine the purposes and use of
these attributes in
various embodiments and contexts disclosed herein.
[00165] The term lender as utilized herein may be understood broadly to
describe a party to
an agreement offering an asset for lending, proceeds of a loan, and may
include an individual,
partnership, corporation, limited liability company, or other legal
organization. For example,
a lender may be a primary lender, a secondary lender, a lending syndicate, a
corporate lender,
a government lender, a bank lender, a secured lender, an unsecured lender, or
other party
having rights or obligations to an agreement, transaction or loan offering a
loan to a

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borrower, without limitation. A lender may have representatives that represent
or act on its
behalf. Without limitation to any other aspect or description of the present
disclosure, an
party may also be used in conjunction with other related parties or terms to
an agreement or
loan, such as a borrower, a guarantor, a representation, a warranty, an
indemnity, a covenant,
a balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a payment
schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a security, a personal guarantee, a lien, a
duration, a foreclose
condition, a default condition, and a consequence of default. In certain
embodiments, a smart
contract may calculate whether a lender has satisfied conditions or covenants
and in cases
where the lender has not satisfied such conditions or covenants, may enable
automated
action, a notification or alert, or trigger other conditions or terms. One of
skill in the art,
having the benefit of the disclosure herein and knowledge about a lender, can
readily
determine the purposes and use of a lender in various embodiments and contexts
disclosed
herein.
[00166] The term crowdsourcing services as utilized herein may be understood
broadly to
describe services offered or rendered in conjunction with a crowdsourcing
model or
transaction, wherein a large group of people or entities supply contributions
to fulfill a need,
such as a loan, for the transaction. Crowdsourcing services may be provided by
a platform or
system, without limitation. A crowdsourcing request may be communicated to a
group of
information suppliers and by which responses to the request may be collected
and processed
to provide a reward to at least one successful information supplier. The
request and
parameters may be configured to obtain information related to the condition of
a set of
collateral for a loan. The crowdsourcing request may be published. In certain
embodiments,
without limitation, crowdsourcing services may be performed by a smart
contract, wherein
the reward is managed by a smart contract that processes responses to the
crowdsourcing
request and automatically allocates a reward to information that satisfies a
set of parameter
configured for the crowdsourcing request. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about crowdsourcing services, can readily
determine the
purposes and use of crowdsourcing services in various embodiments and contexts
disclosed
herein.
[00167] The term publishing services as utilized herein may be understood to
describe a set
of services to publish a crowdsourcing request. Publishing services may be
provided by a
platform or system, without limitation. In certain embodiments, without
limitation, publishing
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services may be performed by a smart contract, wherein the crowdsourcing
request is
published or publication is initiated by the smart contract. One of skill in
the art, having the
benefit of the disclosure herein and knowledge about publishing services, can
readily
determine the purposes and use of publishing services in various embodiments
and contexts
disclosed herein.
[00168] The term interface as utilized herein may be understood broadly to
describe a
component by which interaction or communication is achieved, such as a
component of a
computer, which may be embodied in software, hardware or a combination
thereof. For
example, an interface may serve a number of different purposes or be
configured for different
applications or contexts, such as, without limitation: an application
programming interface, a
graphic user interface, user interface, software interface, marketplace
interface, demand
aggregation interface, crowdsourcing interface, secure access control
interface, network
interface, data integration interface or a cloud computing interface, or
combinations thereof.
An interface may serve to act as a way to enter, receive or display data,
within the scope of
lending, refinancing, collection, consolidation, factoring, brokering or
foreclosure, without
limitation. An interface may serve as an interface for another interface.
Without limitation to
any other aspect or description of the present disclosure, an interface may be
used in
conjunction with applications, processes, modules, services, layers, devices,
components,
machines, products, sub-systems, interfaces, connections, or as part of a
system. In certain
embodiments, an interface may be embodied in software, hardware or a
combination thereof,
as well as stored on a medium or in memory. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about an interface, can readily determine the
purposes and
use of an interface in various embodiments and contexts disclosed herein.
[00169] The term graphical user interface as utilized herein may be understood
as a type of
interface to allow a user to interact with a system, computer or other
interface, in which
interaction or communication is achieved through graphical devices or
representations. A
graphical user interface may be a component of a computer, which may be
embodied in
computer readable instructions, hardware, or a combination thereof. A
graphical user
interface may serve a number of different purposes or be configured for
different applications
or contexts. Such an interface may serve to act as a way to receive or display
data using
visual representation, stimulus or interactive data, without limitation. A
graphical user
interface may serve as an interface for another graphical user interface or
other interface.
Without limitation to any other aspect or description of the present
disclosure, a graphical
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user interface may be used in conjunction with applications, processes,
modules, services,
layers, devices, components, machines, products, sub-systems, interfaces,
connections, or as
part of a system. In certain embodiments, a graphical user interface may be
embodied in
computer readable instructions, hardware or a combination thereof, as well as
stored on a
medium or in memory. Graphical user interfaces may be configured for any input
types,
including keyboards, a mouse, a touch screen, and the like. Graphical user
interfaces may be
configured for any desired user interaction environments, including for
example a dedicated
application, a web page interface, or combinations of these. One of skill in
the art, having the
benefit of the disclosure herein and knowledge about a graphical user
interface, can readily
determine the purposes and use of a graphical user interface in various
embodiments and
contexts disclosed herein.
[00170] The term user interface as utilized herein may be understood as a type
of interface to
allow a user to interact with a system, computer or other apparatus, in which
interaction or
communication is achieved through graphical devices or representations. A user
interface
may be a component of a computer, which may be embodied in software, hardware
or a
combination thereof. The user interface may be stored on a medium or in
memory. User
interfaces may include drop-down menus, tables, forms, or the like with
default, templated,
recommended, or pre- configured conditions. In certain embodiments, a user
interface may
include voice interaction. Without limitation to any other aspect or
description of the present
disclosure, a user interface may be used in conjunction with applications,
circuits, controllers,
processes, modules, services, layers, devices, components, machines, products,
sub-systems,
interfaces, connections, or as part of a system. User interfaces may serve a
number of
different purposes or be configured for different applications or contexts.
For example, a
lender-side user interface may include features to view a plurality of
customer profiles, but
may be restricted from making certain changes. A debtor-side user interface
may include
features to view details and make changes to a user account. A 3rd party
neutral-side
interface (e.g. a 3rd party not having an interest in an underlying
transaction, such as a
regulator, auditor, etc.) may have features that enable a view of company
oversight and
anonymized user data without the ability to manipulate any data, and may have
scheduled
access depending upon the 3rd party and the purpose for the access. A 3rd
party interested-
side interface (e.g. a 3rd party that may have an interest in an underlying
transaction, such as a
collector, debtor advocate, investigator, partial owner, etc.) may include
features enabling a
view of particular user data with restrictions on making changes. Many more
features of
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these user interfaces may be available to implements embodiments of the
systems and/or
procedures described throughout the present disclosure. Accordingly, the
benefits of the
present disclosure may be applied in a wide variety of processes and systems,
and any such
processes or systems may be considered a service herein. One of skill in the
art, having the
benefit of the disclosure herein and knowledge about a user interface, can
readily determine
the purposes and use of a user interface in various embodiments and contexts
disclosed
herein. Certain considerations for the person of skill in the art, in
determining whether a
contemplated interface is a user interface and/or whether aspects of the
present disclosure can
benefit or enhance the contemplated system include, without limitation:
configurable views,
ability to restrict manipulation or views, report functions, ability to
manipulate user profile
and data, implement regulatory requirements, provide the desired user features
for borrowers,
lenders, and 3rd parties, and the like.
[00171] Interfaces and dashboards as utilized herein may further be understood
broadly to
describe a component by which interaction or communication is achieved, such
as a
component of a computer, which may be embodied in software, hardware or a
combination
thereof. Interfaces and dashboards may acquire, receive, present or otherwise
administrate an
item, service, offering or other aspect of a transaction or loan. For example,
interfaces and
dashboards may serve a number of different purposes or be configured for
different
applications or contexts, such as, without limitation: an application
programming interface, a
graphic user interface, user interface, software interface, marketplace
interface, demand
aggregation interface, crowdsourcing interface, secure access control
interface, network
interface, data integration interface or a cloud computing interface, or
combinations thereof.
An interface or dashboard may serve to act as a way to receive or display
data, within the
context of lending, refinancing, collection, consolidation, factoring,
brokering or foreclosure,
without limitation. An interface or dashboard may serve as an interface or
dashboard for
another interface or dashboard. Without limitation to any other aspect or
description of the
present disclosure, an interface may be used in conjunction with applications,
circuits,
controllers, processes, modules, services, layers, devices, components,
machines, products,
sub-systems, interfaces, connections, or as part of a system. In certain
embodiments, an
interface or dashboard may be embodied in computer readable instructions,
hardware or a
combination thereof, as well as stored on a medium or in memory. One of skill
in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
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contemplated system, can readily determine the purposes and use of interfaces
and/or
dashboards in various embodiments and contexts disclosed herein.
[00172] The term domain as utilized herein may be understood broadly to
describe a scope
or context of a transaction and/or communications related to a transaction.
For example, a
domain may serve a number of different purposes or be configured for different
applications
or contexts, such as, without limitation: a domain for execution, a domain for
a digital asset,
domains to which a request will be published, domains to which social network
data
collection and monitoring services will be applied, domains to which Internet
of Things data
collection and monitoring services will be applied, network domains,
geolocation domains,
jurisdictional location domains, and time domains. Without limitation to any
other aspect or
description of the present disclosure, one or more domains may be utilized
relative to any
applications, circuits, controllers, processes, modules, services, layers,
devices, components,
machines, products, sub-systems, interfaces, connections, or as part of a
system. In certain
embodiments, a domain may be embodied in computer readable instructions,
hardware, or a
combination thereof, as well as stored on a medium or in memory. One of skill
in the art,
having the benefit of the disclosure herein and knowledge about a domain, can
readily
determine the purposes and use of a domain in various embodiments and contexts
disclosed
herein.
[00173] The term request (and variations) as utilized herein may be understood
broadly to
describe the action or instance of initiating or asking for a thing (e.g.
information, a response,
an object, and the like) to be provided. A specific type of request may also
serve a number of
different purposes or be configured for different applications or contexts,
such as, without
limitation: a formal legal request (e.g. a subpoena), a request to refinance
(e.g. a loan), or a
crowdsourcing request. Systems may be utilized to perform requests as well as
fulfill
requests. Requests in various forms may be included where discussing a legal
action, a
refinancing of a loan, or a crowdsourcing service, without limitation. One of
skill in the art,
having the benefit of the disclosure herein and knowledge about a contemplated
system, can
readily determine the value of a request implemented in an embodiment. While
specific
examples of requests are described herein for purposes of illustration, any
embodiment
benefitting from the disclosures herein, and any considerations understood to
one of skill in
the art having the benefit of the disclosures herein, are specifically
contemplated within the
scope of the present disclosure.

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[00174] The term reward (and variations) as utilized herein may be understood
broadly to
describe a thing or consideration received or provided in response to an
action or stimulus.
Rewards can be of a financial type, or non-financial type, without limitation.
A specific type
of reward may also serve a number of different purposes or be configured for
different
applications or contexts, such as, without limitation: a reward event, claims
for rewards,
monetary rewards, rewards captured as a data set, rewards points, and other
forms of rewards.
Rewards may be triggered, allocated, generated for innovation, provided for
the submission
of evidence, requested, offered, selected, administrated, managed, configured,
allocated,
conveyed, identified, without limitation, as well as other actions. Systems
may be utilized to
perform the aforementioned actions. Rewards in various forms may be included
where
discussing a particular behavior, or encouragement of a particular behavior,
without
limitation. In certain embodiments herein, a reward may be utilized as a
specific incentive
(e.g., rewarding a particular person that responds to a crowdsourcing request)
or as a general
incentive (e.g., providing a reward responsive to a successful crowdsourcing
request, in
addition to or alternatively to a reward to the particular person that
responded). One of skill
in the art, having the benefit of the disclosure herein and knowledge about a
reward, can
readily determine the value of a reward implemented in an embodiment. While
specific
examples of rewards are described herein for purposes of illustration, any
embodiment
benefitting from the disclosures herein, and any considerations understood to
one of skill in
the art having the benefit of the disclosures herein, are specifically
contemplated within the
scope of the present disclosure.
[00175] The term robotic process automation system as utilized herein may be
understood
broadly to describe a system capable of performing tasks or providing needs
for a system of
the present disclosure. For example, a robotic process automation system,
without limitation,
can be configured for: negotiation of a set of terms and conditions for a
loan, negotiation of
refinancing of a loan, loan collection, consolidating a set of loans, managing
a factoring loan,
brokering a mortgage loan, training for foreclosure negotiations, configuring
a crowdsourcing
request based on a set of attributes for a loan, setting a reward, determining
a set of domains
to which a request will be published, configuring the content of a request,
configuring a data
collection and monitoring action based on a set of attributes of a loan,
determining a set of
domains to which the Internet of Things data collection and monitoring
services will be
applied, and iteratively training and improving based on a set of outcomes. A
robotic process
automation system may include: a set of data collection and monitoring
services, an artificial
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intelligence system, and another robotic process automation system which is a
component of
the higher level robotic process automation system. The robotic process
automation system
may include: at least one of the set of mortgage loan activities and the set
of mortgage loan
interactions includes activities among marketing activity, identification of a
set of prospective
borrowers, identification of property, identification of collateral,
qualification of borrower,
title search, title verification, property assessment, property inspection,
property valuation,
income verification, borrower demographic analysis, identification of capital
providers,
determination of available interest rates, determination of available payment
terms and
conditions, analysis of existing mortgage, comparative analysis of existing
and new mortgage
terms, completion of application workflow, population of fields of
application, preparation of
mortgage agreement, completion of schedule to mortgage agreement, negotiation
of mortgage
terms and conditions with capital provider, negotiation of mortgage terms and
conditions
with borrower, transfer of title, placement of lien and closing of mortgage
agreement.
Example and non-limiting robotic process automation systems may include one or
more user
interfaces, interfaces with circuits and/or controllers throughout the system
to provide,
request, and/or share data, and/or one or more artificial intelligence
circuits configured to
iteratively improve one or more operations of the robotic process automation
system. One of
skill in the art, having the benefit of the disclosure herein and knowledge
ordinarily available
about a contemplated robotic process automation system, can readily determine
the circuits,
controllers, and/or devices to include to implement a robotic process
automation system
performing the selected functions for the contemplated system. While specific
examples of
robotic process automation systems are described herein for purposes of
illustration, any
embodiment benefitting from the disclosures herein, and any considerations
understood.
[00176] The term loan-related action (and other related terms such as loan-
related event and
loan-related activity) are utilized herein and may be understood broadly to
describe one or
multiple actions, events or activities relating to a transaction that includes
a loan within the
transaction. The action, event or activity may occur in many different
contexts of loans, such
as lending, refinancing, consolidation, factoring, brokering, foreclosure,
administration,
negotiating, collecting, procuring, enforcing and data processing (e.g. data
collection), or
combinations thereof, without limitation. A loan-related action may be used in
the form of a
noun (e.g. a notice of default has been communicated to the borrower with
formal notice,
which could be considered a loan-related action). A loan-related action,
event, or activity
may refer to a single instance, or may characterize a group of actions, events
or activities. For
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example, a single action such as providing a specific notice to a borrower of
an overdue
payment may be considered a loan-related action. Similarly, a group of actions
from start to
finish relating to a default may also be considered a single loan-related
action. Appraisal,
inspection, funding and recording, without limitation, may all also be
considered loan-related
actions that have occurred, as well as events relating to the loan, and may
also be loan-related
events. Similarly, these activities of completing these actions may also be
considered loan-
related activities (e.g. appraising, inspecting, funding, recording, etc.),
without limitation. In
certain embodiments, a smart contract or robotic process automation system may
perform
loan-related actions, loan-related events, or loan-related activities for one
or more of the
parties, and process appropriate tasks for completion of the same. In some
cases the smart
contract or robotic process automation system may not complete a loan-related
action, and
depending upon such outcome this may enable an automated action or may trigger
other
conditions or terms. One of skill in the art, having the benefit of the
disclosure herein and
knowledge about loan-related actions, events, and activities can readily
determine the
purposes and use of this term in various forms and embodiments as described
throughout the
present disclosure.
[00177] The term loan-related action, events, and activities, as noted herein,
may also more
specifically be utilized to describe a context for calling of a loan. A
calling of a loan is an
action wherein the lender can demand the loan be repaid, usually triggered by
some other
condition or term, such as delinquent payment(s). For example, a loan-related
action for
calling of the loan may occur when a borrower misses three payments in a row,
such that
there is a severe delinquency in the loan payment schedule, and the loan goes
into default. In
such a scenario, a lender may be initiating loan-related actions for calling
of the loan to
protect its rights. In such a scenario, perhaps the borrower pays a sum to
cure the
delinquency and penalties, which may also be considered as a loan-related
action for calling
of the loan. In some circumstances a smart contract or robotic process
automation system
may initiate, administrate or process loan-related actions for calling of the
loan, which
without limitation, may including providing notice, researching and collecting
payment
history, or other tasks performed as a part of the calling of the loan. One of
skill in the art,
having the benefit of the disclosure herein and knowledge about loan-related
actions for
calling of the loan, or other forms of the term and its various forms, can
readily determine the
purposes and use of this term in the context of an event or other various
embodiments and
contexts disclosed herein.
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[00178] The term loan-related action, events, and activities, as noted herein,
may also more
specifically be utilized to describe a context for payment of a loan.
Typically in transactions
involving loans, without limitation, a loan is repaid on a payment schedule.
Various actions
may be taken to provide a borrower with information to pay back the loan, as
well as actions
for a lender to receive payment for the loan. For example, if a borrower makes
a payment on
the loan, a loan-related action for payment of the loan may occur. Without
limitation, such a
payment may comprise several actions that may occur with respect to the
payment on the
loan, such as: the payment being tendered to the lender, the loan ledger or
accounting
reflecting that a payment has been made, a receipt provided to the borrower of
the payment
made, and the next payment being requested of the borrower. In some
circumstances a smart
contract or robotic process automation system may initiate, administrate or
process such loan-
related actions for payment of the loan, which without limitation, may
including providing
notice to the lender, researching and collecting payment history, providing a
receipt to the
borrower, providing notice of the next payment due to the borrower, or other
actions
associated with payment of the loan. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about loan-related actions for payment of a
loan, or other
forms of the term and its various forms, can readily determine the purposes
and use of this
term in the context of an event or other various embodiments and contexts
disclosed herein.
[00179] The term loan-related action, events, and activities, as noted herein,
may also more
specifically be utilized to describe a context for a payment schedule or
alternative payment
schedule. Typically in transactions involving loans, without limitation, a
loan is repaid on a
payment schedule, which may be modified over time. Or, such a payment schedule
may be
developed and agreed in the alternative, with an alternative payment schedule.
Various
actions may be taken in the context of a payment schedule or alternate payment
schedule for
the lender or the borrower, such as: the amount of such payments, when such
payment are
due, what penalties or fees may attach to late payments, or other terms. For
example, if a
borrower makes an early payment on the loan, a loan-related action for payment
schedule and
alternative payment schedule of the loan may occur; in such case, perhaps the
payment is
applied as principal, with the regular payment still being due. Without
limitation, loan-
related actions for a payment schedule and alternative payment schedule may
comprise
several actions that may occur with respect to the payment on the loan, such
as: the payment
being tendered to the lender, the loan ledger or accounting reflecting that a
payment has been
made, a receipt provided to the borrower of the payment made, a calculation if
any fees are
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attached or due, and the next payment being requested of the borrower. In
certain
embodiments, an activity to determine a payment schedule or alternative
payment schedule
may be a loan-related action, event, or activity. In certain embodiments, an
activity to
communicate the payment schedule or alternative payment schedule (e.g., to the
borrower,
the lender, or a 3rd party) may be a loan-related action, event, or activity.
In some
circumstances a smart contract circuit or robotic process automation system
may initiate,
administrate, or process such loan-related actions for payment schedule and
alternative
payment schedule, which without limitation, may include providing notice to
the lender,
researching and collecting payment history, providing a receipt to the
borrower, calculating
the next due date, calculating the final payment amount and date, providing
notice of the next
payment due to the borrower, determining the payment schedule or an alternate
payment
schedule, communicating the payment scheduler or an alternate payment
schedule, or other
actions associated with payment of the loan. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about loan-related actions for payment
schedule and
alternative payment schedule, or other forms of the term and its various
forms, can readily
determine the purposes and use of this term in the context of an event or
other various
embodiments and contexts disclosed herein.
[00180] The term regulatory notice requirement (and any derivatives) as
utilized herein may
be understood broadly to describe an obligation or condition to communicate a
notification or
message to another party or entity. The regulatory notice requirement may be
required under
one or more conditions that are triggered, or generally required. For example,
a lender may
have a regulatory notice requirement to provide notice to a borrower of a
default of a loan, or
change of an interest rate of a loan, or other notifications relating to a
transaction or loan. The
regulatory aspect of the term may be attributed to jurisdiction-specific laws,
rules, or codes
that require certain obligations of communication. In certain embodiments, a
policy directive
may be treated as a regulatory notice requirement ¨ for example where a lender
has an
internal notice policy that may exceed the regulatory requirements of one or
more of the
jurisdictional locations related to a transaction. The notice aspect generally
relates to formal
communications, which may take many different forms, but may specifically be
specified as
a particular form of notice, such as a certified mail, facsimile, email
transmission, or other
physical or electronic form, a content for the notice, and/or a timing
requirement related to
the notice. The requirement aspect relates to the necessity of a party to
complete its obligation
to be in compliance with laws, rules, codes, policies, standard practices, or
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agreement or loan. In certain embodiments, a smart contract may process or
trigger
regulatory notice requirements and provide appropriate notice to a borrower.
This may be
based on location of at least one of: the lender, the borrower, the funds
provided via the loan,
the repayment of the loan, and the collateral of the loan, or other locations
as designated by
the terms of the loan, transaction, or agreement. In cases where a party or
entity has not
satisfied such regulatory notice requirements, certain changes in the rights
or obligations
between the parties may be triggered ¨ for example where a lender provides a
non-compliant
notice to the borrower, an automated action or trigger based on the terms and
conditions of
the loan, and/or based on external information (e.g., a regulatory
prescription, internal policy
of the lender, etc.) may be effected by a smart contract circuit and/or
robotic process
automation system may be implemented. One of skill in the art, having the
benefit of the
disclosure herein and knowledge ordinarily available about a contemplated
system, can
readily determine the purposes and use of regulatory notice requirements in
various
embodiments and contexts disclosed herein.
[00181] The term regulatory notice requirement may also be utilized herein to
describe an
obligation or condition to communicate a notification or message to another
party or entity
based upon a general or specific policy, rather than based on a particular
jurisdiction, or laws,
rules, or codes of a particular location (as in regulatory notice requirement
that may be
jurisdiction-specific). The regulatory notice requirement may be prudent or
suggested, rather
than obligatory or required, under one or more conditions that are triggered,
or generally
required. For example, a lender may have a regulatory notice requirement that
is policy based
to provide notice to a borrower of a new informational website, or will
experience a change
of an interest rate of a loan in the future, or other notifications relating
to a transaction or loan
that are advisory or helpful, rather than mandatory (although mandatory
notices may also fall
under a policy basis). Thus, in policy based uses of the regulatory notice
requirement term, a
smart contract circuit may process or trigger regulatory notice requirements
and provide
appropriate notice to a borrower which may or may not necessarily be required
by a law, rule
or code. The basis of the notice or communication may be out of prudence,
courtesy, custom,
or obligation.
[00182] The term regulatory notice may also be utilized herein to describe an
obligation or
condition to communicate a notification or message to another party or entity
specifically,
such as a lender or borrower. The regulatory notice may be specifically
directed toward any
party or entity, or a group of parties or entities. For example, a particular
notice or
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communication may be advisable or required to be provided to a borrower, such
as on
circumstances of a borrower's failure to provide scheduled payments on a loan
resulting in a
default. As such, such a regulatory notice directed to a particular user, such
as a lender or
borrower, may be as a result of a regulatory notice requirement that is
jurisdiction-specific or
policy-based, or otherwise. Thus, in some circumstances a smart contract may
process or
trigger a regulatory notice and provide appropriate notice to a specific party
such as a
borrower, which may or may not necessarily be required by a law, rule or code,
but may
otherwise be provided out of prudence, courtesy or custom. In cases where a
party or entity
has not satisfied such regulatory notice requirements to a specific party or
parties, it may
create circumstances where certain rights may be forgiven by one or more
parties or entities,
or may enable automated action or trigger other conditions or terms. One of
skill in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
contemplated system, can readily determine the purposes and use of regulatory
notice
requirements based in various embodiments and contexts disclosed herein.
[00183] The term regulatory foreclosure requirement (and any derivatives) as
utilized herein
may be understood broadly to describe an obligation or condition in order to
trigger, process
or complete default of a loan, foreclosure or recapture of collateral, or
other related
foreclosure actions. The regulatory foreclosure requirement may be required
under one or
more conditions that are triggered, or generally required. For example, a
lender may have a
regulatory foreclosure requirement to provide notice to a borrower of a
default of a loan, or
other notifications relating to the default of a loan prior to foreclosure.
The regulatory aspect
of the term may be attributed to jurisdiction-specific laws, rules, or codes
that require certain
obligations of communication. The foreclosure aspect generally relates to the
specific remedy
of foreclosure, or a recapture of collateral property and default of a loan,
which may take
many different forms, but may be specified in the terms of the loan. The
requirement aspect
relates to the necessity of a party to complete its obligation in order to be
in compliance or
performance of laws, rules, codes or terms of an agreement or loan. In certain
embodiments,
a smart contract circuit may process or trigger regulatory foreclosure
requirements and
process appropriate tasks relating to such a foreclosure action. This may be
based on a
jurisdictional location of at least one of the lender, the borrower, the fund
provided via the
loan, the repayment of the loan, and the collateral of the loan, or other
locations as designated
by the terms of the loan, transaction, or agreement. In cases where a party or
entity has not
satisfied such regulatory foreclosure requirements, certain rights may be
forgiven by the party
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or entity (e.g. a lender), or such a failure to comply with the regulatory
notice requirement
may enable automated action or trigger other conditions or terms. One of skill
in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
contemplated system, can readily determine the purposes and use of regulatory
foreclosure
requirements in various embodiments and contexts disclosed herein.
[00184] The term regulatory foreclosure requirement may also be utilized
herein to describe
an obligation or in order to trigger, process or complete default of a loan,
foreclosure or
recapture of collateral, or other related foreclosure actions. based upon a
general or specific
policy rather than based on a particular jurisdiction, or laws, rules, or
codes of a particular
location (as in regulatory foreclosure requirement that may be jurisdiction-
specific). The
regulatory foreclosure requirement may be prudent or suggested, rather than
obligatory or
required, under one or more conditions that are triggered, or generally
required. For example,
a lender may have a regulatory foreclosure requirement that is policy based to
provide notice
to a borrower of a default of a loan, or other notifications relating to a
transaction or loan that
are advisory or helpful, rather than mandatory (although mandatory notices may
also fall
under a policy basis). Thus, in policy based uses of the regulatory
foreclosure requirement
term, a smart contract may process or trigger regulatory foreclosure
requirements and provide
appropriate notice to a borrower which may or may not necessarily be required
by a law, rule
or code. The basis of the notice or communication may be out of prudence,
courtesy, custom,
industry practice, or obligation.
[00185] The term regulatory foreclosure requirements may also be utilized
herein to
describe an obligation or condition that is to be performed with regard to a
specific user, such
as a lender or a borrower. The regulatory notice may be specifically directed
toward any party
or entity, or a group of parties or entities. For example, a particular notice
or communication
may be advisable or required to be provided to a borrower, such as on
circumstances of a
borrower's failure to provide scheduled payments on a loan resulting in a
default. As such,
such a regulatory foreclosure requirement is directed to a particular user,
such as a lender or
borrower, and may be a result of a regulatory foreclosure requirement that is
jurisdiction-
specific or policy-based, or otherwise. For example, the foreclosure
requirement may be
related to a specific entity involved with a transaction (e.g., the current
borrower has been a
customer for 30 years, so s/he receives unique treatment), or to a class of
entities (e.g.,
"preferred" borrowers, or "first time default" borrowers). Thus, in some
circumstances a
smart contract circuit may process or trigger an obligation or action that
must be taken
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pursuant to a foreclosure, where the action is directed or from a specific
party such as a
lender or a borrower, which may or may not necessarily be required by a law,
rule or code,
but may otherwise be provided out of prudence, courtesy, or custom. In certain
embodiments, the obligation or condition that is to be performed with regard
to the specific
user may form a part of the terms and conditions or otherwise be known to the
specific user
to which it applies (e.g., an insurance company or bank that advertises a
specific practice with
regard to a specific class of customers, such as first-time default customers,
first-time
accident customers, etc.), and in certain embodiments the obligation or
condition that is to be
performed with regard to the specific user may be unknown to the specific user
to which it
applies (e.g., a bank has a policy relating to a class of users to which the
specific user
belongs, but the specific user is not aware of the classification).
[00186] The terms value, valuation, valuation model (and similar terms) as
utilized herein
should be understood broadly to describe an approach to evaluate and determine
the
estimated value for collateral. Without limitation to any other aspect or
description of the
present disclosure, a valuation model may be used in conjunction with:
collateral (e.g. a
secured property), artificial intelligence services (e.g. to improve a
valuation model), data
collection and monitoring services (e.g. to set a valuation amount), valuation
services (e.g.
the process of informing, using, and/or improving a valuation model), and/or
outcomes
relating to transactions in collateral (e.g. as a basis of improving the
valuation model).
"Jurisdiction-specific valuation model" is also used as a valuation model used
in a specific
geographic/jurisdictional area or region; wherein, the jurisdiction can be
specific to
jurisdiction of the lender, the borrower, the delivery of funds, the payment
of the loan or the
collateral of the loan, or combinations thereof. In certain embodiments, a
jurisdiction-
specific valuation model considers jurisdictional effects on a valuation of
collateral, including
at least: rights and obligations for borrowers and lenders in the relevant
jurisdiction(s);
jurisdictional effects on the ability to move, import, export, substitute,
and/or liquidate the
collateral; jurisdictional effects on the timing between default and
foreclosure or collection of
collateral; and/or jurisdictional effects on the volatility and/or sensitivity
of collateral value
determinations. In certain embodiments, a geolocation-specific valuation model
considers
geolocation effects on a valuation of the collateral, which may include a
similar list of
considerations relative jurisdictional effects (although the jurisdictional
location(s) may be
distinct from the geolocation(s)), but may also include additional effects,
such as: weather-
related effects; distance of the collateral from monitoring, maintenance, or
seizure services;
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and/or proximity of risk phenomenon (e.g., fault lines, industrial locations,
a nuclear plant,
etc.). A valuation model may utilize a valuation of offset collateral (e.g., a
similar item of
collateral, a generic value such as a market value of similar or fungible
collateral, and/or a
value of an item that correlates with a value of the collateral) as a part of
the valuation of the
collateral. In certain embodiments, an artificial intelligence circuit
includes one or more
machine learning and/or artificial intelligence algorithms, to improve a
valuation model,
including, for example, utilizing information over time between multiple
transactions
involving similar or offset collateral, and/or utilizing outcome information
(e.g., where loan
transactions are completed successfully or unsuccessfully, and/or in response
to collateral
seizure or liquidation events that demonstrate real-world collateral valuation
determinations)
from the same or other transactions to iteratively improve the valuation
model. In certain
embodiments, an artificial intelligence circuit is trained on a collateral
valuation data set, for
example previously determined valuations and/or through interactions with a
trainer (e.g., a
human, accounting valuations, and/or other valuation data). In certain
embodiments, the
valuation model and/or parameters of the valuation model (e.g., assumptions,
calibration
values, etc.) may be determined and/or negotiated as a part of the terms and
conditions of the
transaction (e.g., a loan, a set of loans, and/or a subset of the set of
loans). One of skill in the
art, having the benefit of the disclosure herein and knowledge ordinarily
available about a
contemplated system, can readily determine which aspects of the present
disclosure will
benefit a particular application for a valuation model, and how to choose or
combine
valuation models to implement an embodiment of a valuation model. Certain
considerations
for the person of skill in the art, or embodiments of the present disclosure
in choosing an
appropriate valuation model, include, without limitation: the legal
considerations of a
valuation model given the jurisdiction of the collateral; the data available
for a given
collateral; the anticipated transaction/loan type(s); the specific type of
collateral; the ratio of
the loan to value; the ratio of the collateral to the loan; the gross
transaction/loan amount; the
credit scores of the borrower; accounting practices for the loan type and/or
related industry;
uncertainties related to any of the foregoing; and/or sensitivities related to
any of the
foregoing. While specific examples of valuation models and considerations are
described
herein for purposes of illustration, any embodiment benefitting from the
disclosures herein,
and any considerations understood to one of skill in the art having the
benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure

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[00187] The term market value data, or marketplace information, (and other
forms or
variations) as utilized herein may be understood broadly to describe data or
information
relating to the valuation of a property, asset, collateral or other valuable
item which may be
used as the subject of a loan, collateral or transaction. Market value data or
marketplace
information may change from time to time, and may be estimated, calculated, or
objectively
or subjectively determined from various sources of information. Market value
data or
marketplace information may be related directly to an item of collateral or to
an off-set item
of collateral. Market value data or marketplace information may include
financial data,
market ratings, product ratings, customer data, market research to understand
customer needs
or preferences, competitive intelligence re. competitors, suppliers, and the
like, entities sales,
transactions, customer acquisition cost, customer lifetime value, brand
awareness, churn rate,
and the like. The term may occur in many different contexts of contracts or
loans, such as
lending, refinancing, consolidation, factoring, brokering, foreclosure, and
data processing
(e.g. data collection), or combinations thereof, without limitation. Market
value data or
marketplace information may be used as a noun to identify a single figure or a
plurality of
figures or data. For example, market value data or marketplace information may
be utilized
by a lender to determine if a property or asset will serve as collateral for a
secured loan, or
may alternatively be utilized in the determination of foreclosure if a loan is
in default, without
limitation to these circumstances in use of the term. Marketplace value data
or marketplace
information may also be used to determine loan-to-value figures or
calculations. In certain
embodiments, a collection service, smart contract circuit, and/or robotic
process automation
system may estimate or calculate market value data or marketplace information
from one or
more sources of data or information. In some cases market data value or
marketplace
information, depending upon the data/information contained therein, may enable
automated
action or trigger other conditions or terms. One of skill in the art, having
the benefit of the
disclosure herein and knowledge ordinarily available about a contemplated
system and
available relevant marketplace information, can readily determine the purposes
and use of
this term in various forms, embodiments and contexts disclosed herein.
[00188] The terms similar collateral, similar to collateral, off-set
collateral, and other forms
or variations as utilized herein may be understood broadly to describe a
property, asset or
valuable item that may be like in nature to a collateral (e.g. an article of
value held in
security) regarding a loan or other transaction. Similar collateral may refer
to a property,
asset, collateral or other valuable item which may be aggregated, substituted,
or otherwise
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referred to in conjunction with other collateral, whether the similarity comes
in the form of a
common attribute such as type of item of collateral, category of the item of
collateral, an age
of the item of collateral, a condition of the item of collateral, a history of
the item of
collateral, an ownership of the item of collateral, a caretaker of the item of
collateral, a
security of the item of collateral, a condition of an owner of the item of
collateral, a lien on
the item of collateral, a storage condition of the item of collateral, a
geolocation of the item of
collateral, and a jurisdictional location of the item of collateral, and the
like. In certain
embodiments, an offset collateral references an item that has a value
correlation with an item
of collateral ¨ for example an offset collateral may exhibit similar price
movements,
volatility, storage requirements, or the like for an item of collateral. In
certain embodiments,
similar collateral may be aggregated to form a larger security interest or
collateral for an
additional loan or distribution, or transaction. In certain embodiments,
offset collateral may
be utilized to inform a valuation of the collateral. In certain embodiments, a
smart contract
circuit or robotic process automation system may estimate or calculate
figures, data or
information relating to similar collateral, or may perform a function with
respect to
aggregating similar collateral. One of skill in the art, having the benefit of
the disclosure
herein and knowledge ordinarily available about a contemplated system can
readily
determine the purposes and use of similar collateral, offset collateral, or
related terms as they
relate to collateral in various forms, embodiments, and contexts disclosed
herein.
[00189] The term restructure (and other forms such as restructuring) as
utilized herein may
be understood broadly to describe a modification of terms or conditions,
properties,
collateral, or other considerations affecting a loan or transaction.
Restructuring may result in
a successful outcome where amended terms or conditions are adopted between
parties, or an
unsuccessful outcome where no modification or restructure occurs, without
limitation.
Restructuring can occur in many contexts of contracts or loans, such as
application, lending,
refinancing, collection, consolidation, factoring, brokering, foreclosure, and
combinations
thereof, without limitation. Debt may also be restructured, which may indicate
that debts
owed to a party are modified as to timing, amounts, collateral, or other
terms. For example, a
borrower may restructure debt of a loan to accommodate a change of financial
conditions, or
a lender may offer to a borrower the restructuring of a debt for its own needs
or prudence. In
certain embodiments, a smart contract circuit or robotic process automation
system may
automatically or manually restructure debt based on a monitored condition, or
create options
for restructuring a debt, administrate the process of negotiating or effecting
the restructuring
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of a debt, or other actions in connection with restructuring or modifying
terms of a loan or
transaction. One of skill in the art, having the benefit of the disclosure
herein and knowledge
ordinarily available about a contemplated system, can readily determine the
purposes and use
of this term, whether in the context of debt or otherwise, in various
embodiments and
contexts disclosed herein.
[00190] The term social network data collection, social network monitoring
services, and
social network data collection and monitoring services (and its various forms
or derivatives)
as utilized herein may be understood broadly to describe services relating to
the acquisition,
organizing, observing, or otherwise acting upon data or information derived
from one or
more social networks. The social network data collection and monitoring
services may be a
part of a related system of services or a standalone set of services. Social
network data
collection and monitoring services may be provided by a platform or system,
without
limitation. Social network data collection and monitoring services may be used
in a variety of
contexts such as lending, refinancing, negotiation, collection, consolidation,
factoring,
brokering, foreclosure, and combinations thereof, without limitation. Requests
of social
network data collection and monitoring, with configuration parameters, may be
requested by
other services, automatically initiated or triggered to occur based on
conditions or
circumstances that occur. An interface may be provided to configure, initiate,
display or
otherwise interact with social network data collection and monitoring
services. Social
networks, as utilized herein, reference any mass platform where data and
communications
occur between individuals and/or entities, where the data and communications
are at least
partially accessible to an embodiment system. In certain embodiments, the
social network
data includes publicly available (e.g., accessible without any authorization)
information. In
certain embodiments, the social network data includes information that is
properly accessible
to an embodiment system, but may include subscription access or other access
to information
that is not freely available to the public, but may be accessible (e.g.,
consistent with a privacy
policy of the social network with its users). A social network may be
primarily social in
nature, but may additionally or alternatively include professional networks,
alumni networks,
industry related networks, academically oriented networks, or the like. In
certain
embodiments, a social network may be a crowdsourcing platform, such as a
platform
configured to accept queries or requests directed to users (and/or a subset of
users, potentially
meeting specified criteria), where users may be aware that certain
communications will be
shared and accessible to requestors, at least a portion of users of the
platform, and/or publicly
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available. In certain embodiments, without limitation, social network data
collection and
monitoring services may be performed by a smart contract circuit or a robotic
process
automation system. One of skill in the art, having the benefit of the
disclosure herein and
knowledge ordinarily available about a contemplated system, can readily
determine the
purposes and use of social network data collection and monitoring services in
various
embodiments and contexts disclosed herein.
[00191] The term crowdsource and social network information as utilized herein
may further
be understood broadly to describe information acquired or provided in
conjunction with a
crowdsourcing model or transaction, or information acquired or provided on or
in
conjunction with a social network. Crowdsource and social network information
may be
provided by a platform or system, without limitation. Crowdsource and social
network
information may be acquired, provided or communicated to or from a group of
information
suppliers and by which responses to the request may be collected and
processed.
Crowdsource and social network information may provide information, conditions
or factors
relating to a loan or agreement. Crowdsource and social network information
may be private
or published, or combinations thereof, without limitation. In certain
embodiments, without
limitation, crowdsource and social network information may be acquired,
provided,
organized or processed, without limitation, by a smart contract circuit,
wherein the
crowdsource and social network information may be managed by a smart contract
circuit that
processes the information to satisfy a set of configured parameters. One of
skill in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
contemplated system can readily determine the purposes and use of this term in
various
embodiments and contexts disclosed herein.
[00192] The term negotiate (and other forms such as negotiating or
negotiation) as utilized
herein may be understood broadly to describe discussions or communications to
bring about
or obtain a compromise, outcome, or agreement between parties or entities.
Negotiation may
result in a successful outcome where terms are agreed between parties, or an
unsuccessful
outcome where the parties do not agree to specific terms, or combinations
thereof, without
limitation. A negotiation may be successful in one aspect or for a particular
purpose, and
unsuccessful in another aspect or for another purpose. Negotiation can occur
in many
contexts of contracts or loans, such as lending, refinancing, collection,
consolidation,
factoring, brokering, foreclosure, and combinations thereof, without
limitation. For example,
a borrower may negotiate an interest rate or loan terms with a lender. In
another example, a
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borrower in default may negotiate an alternative resolution to avoid
foreclosure with a lender.
In certain embodiments, a smart contract circuit or robotic process automation
system may
negotiate for one or more of the parties, and process appropriate tasks for
completing or
attempting to complete a negotiation of terms. In some cases negotiation by
the smart
contract or robotic process automation system may not complete or be
successful. Successful
negotiation may enable automated action or trigger other conditions or terms
to be
implemented by the smart contract circuit or robotic process automation
system. One of skill
in the art, having the benefit of the disclosure herein and knowledge
ordinarily available
about a contemplated system, can readily determine the purposes and use of
negotiation in
various embodiments and contexts disclosed herein.
[00193] The term negotiate in various forms may more specifically be utilized
herein in
verb form (e.g. to negotiate) or in noun forms (e.g. a negotiation), or other
forms to describe a
context of mutual discussion leading to an outcome. For example, a robotic
process
automation system may negotiate terms and conditions on behalf of a party,
which would be
a use as a verb clause. In another example, a robotic process automation
system may be
negotiating terms and conditions for modification of a loan, or negotiating a
consolidation
offer, or other terms. As a noun clause, a negotiation (e.g. an event) may be
performed by a
robotic process automation system. Thus, in some circumstances a smart
contract circuit or
robotic process automation system may negotiate (e.g. as a verb clause) terms
and conditions,
or the description of doing so may be considered a negotiation (e.g. as a noun
clause). One of
skill in the art, having the benefit of the disclosure herein and knowledge
about negotiating
and negotiation, or other forms of the word negotiate, can readily determine
the purposes and
use of this term in various embodiments and contexts disclosed herein.
[00194] The term negotiate in various forms may also specifically be utilized
to describe an
outcome, such as a mutual compromise or completion of negotiation leading to
an outcome.
For example, a loan may, by robotic process automation system or otherwise, be
considered
negotiated as a successful outcome that has resulted in an agreement between
parties, where
the negotiation has reached completion. Thus, in some circumstances a smart
contract circuit
or robotic process automation system may have negotiated to completion a set
of terms and
conditions, or a negotiated loan. One of skill in the art, having the benefit
of the disclosure
herein and knowledge ordinarily available for a contemplated system, can
readily determine
the purposes and use of this term as it relates to a mutually agreed outcome
through
completion of negotiation in various embodiments and contexts disclosed
herein.

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[00195] The term negotiate in various forms may also specifically be utilized
to characterize
an event such as a negotiating event, or an event negotiation, including
reaching a set of
agreeable terms between parties. An event requiring mutual agreement or
compromise
between parties may be considered a negotiating event, without limitation. For
example,
during the procurement of a loan, the process of reaching a mutually
acceptable set of terms
and conditions between parties could be considered a negotiating event. Thus,
in some
circumstances a smart contract circuit or robotic process automation system
may
accommodate the communications, actions, or behaviors of the parties for a
negotiated event.
[00196] The term collection (and other forms such as collect or collecting) as
utilized herein
may be understood broadly to describe the acquisition of a tangible (e.g.
physical item),
intangible (e.g. data, a license, or a right), or monetary (e.g. payment)
item, or other
obligation or asset from a source. The term generally may relate to the entire
prospective
acquisition of such an item from related tasks in early stages to related
tasks in late stages or
full completion of the acquisition of the item. Collection may result in a
successful outcome
where the item is tendered to a party, or may or an unsuccessful outcome where
the item is
not tendered or acquired to a party, or combinations thereof (e.g., a late or
otherwise deficient
tender of the item), without limitation. Collection may occur in many
different contexts of
contracts or loans, such as lending, refinancing, consolidation, factoring,
brokering,
foreclosure, and data processing (e.g. data collection), or combinations
thereof, without
limitation. Collection may be used in the form of a noun (e.g. data collection
or the collection
of an overdue payment where it refers to an event or characterizes an event),
may refer as a
noun to an assortment of items (e.g. a collection of collateral for a loan
where it refers to a
number of items in a transaction), or may be used in the form of a verb (e.g.
collecting a
payment from the borrower). For example, a lender may collect an overdue
payment from a
borrower through an online payment, or may have a successful collection of
overdue
payments acquired through a customer service telephone call. In certain
embodiments, a
smart contract circuit or robotic process automation system may perform
collection for one or
more of the parties, and process appropriate tasks for completing or
attempting collection for
one or more items (e.g. an overdue payment). In some cases negotiation by the
smart contract
or robotic process automation system may not complete or be successful, and
depending upon
such outcomes this may enable automated action or trigger other conditions or
terms. One of
skill in the art, having the benefit of the disclosure herein and knowledge
ordinarily available
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about a contemplated system, can readily determine the purposes and use of
collection in
various forms, embodiments, and contexts disclosed herein.
[00197] The term collection in various forms may also more specifically be
utilized herein in
noun form to describe a context for an event or thing, such as a collection
event, or a
collection payment. For example, a collection event may refer to a
communication to a party
or other activity that relates to acquisition of an item in such an activity,
without limitation. A
collection payment, for example, may relate to a payment made by a borrower
that has been
acquired through the process of collection, or through a collection department
with a lender.
Although not limited to an overdue, delinquent or defaulted loan, collection
may characterize
an event, payment or department, or other noun associated with a transaction
or loan, as being
a remedy for something that has become overdue. Thus, in some circumstances a
smart
contract circuit or robotic process automation system may collect a payment or
installment
from a borrower, and the activity of doing so may be considered a collection
event, without
limitation.
[00198] The term collection in various forms may also more specifically be
utilized herein
as an adjective or other forms to describe a context relating to litigation,
such as the outcome
of a collection litigation (e.g. litigation regarding overdue or default
payments on a loan). For
example, the outcome of a collection litigation may be related to delinquent
payments which
are owed by a borrower or other party, and collection efforts relating to
those delinquent
payments may be litigated by parties. Thus, in some circumstances a smart
contract circuit or
robotic process automation system may receive, determine or otherwise
administrate the
outcome of collection litigation.
[00199] The term collection in various forms may also more specifically be
utilized herein
as an adjective or other forms to describe a context relating to an action of
acquisition, such
as a collection action (e.g. actions to induce tendering or acquisition of
overdue or default
payments on a loan or other obligation). The terms collection yield, financial
yield of
collection, and/or collection financial yield may be used. The result of such
a collection
action may or may not have a financial yield. For example, a collection action
may result in
the payment of one or more outstanding payments on a loan, which may render a
financial
yield to another party such as the lender. Thus, in some circumstances a smart
contract circuit
or robotic process automation system may render a financial yield from a
collection action, or
otherwise administrate or in some manner assist in a financial yield of a
collection action. In
embodiments, a collection action may include the need for collection
litigation.
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[00200] The term collection in various forms ( collection ROI, ROI on
collection, ROI on
collection activity, collection activity ROI, and the like) may also more
specifically be
utilized herein to describe a context relating to an action of receiving
value, such as a
collection action (e.g. actions to induce tendering or acquisition of overdue
or default
payments on a loan or other obligation), wherein there is a return on
investment (ROI). The
result of such a collection action may or may not have an ROI, either with
respect to the
collection action itself (as an ROI on the collection action) or as an ROI on
the broader loan
or transaction that is the subject of the collection action. For example, an
ROI on a collection
action may be prudent or not with respect to a default loan, without
limitation, depending
upon whether the ROI will be provided to a party such as the lender. A
projected ROI on
collection may be estimated, or may also be calculated given real events that
transpire. In
some circumstances a smart contract circuit or robotic process automation
system may render
an estimated ROI for a collection action or collection event, or may calculate
an ROI for
actual events transpiring in a collection action or collection event, without
limitation. In
embodiments, such a ROI may be a positive or negative figure, whether
estimated or actual.
[00201] The term reputation, measure of reputation, lender reputation,
borrower reputation,
entity reputation, and the like may include general, widely held beliefs,
opinions, and/or
perceptions that are generally held about an individual, entity, collateral,
and the like. A
measure for reputation may be determined based on social data including
likes/dislikes,
review of entity or products and services provided by the entity, rankings of
the company or
product, current and historic market and financial data include price,
forecast, buy/sell
recommendations, financial news regarding entity, competitors, and partners.
Reputations
may be cumulative in that a product reputation and the reputation of a company
leader or lead
scientist may influence the overall reputation of the entity. Reputation of an
institute
associated with an entity (e.g. a school being attended by a student) may
influence the
reputation of the entity. In some circumstances a smart contract circuit or
robotic process
automation system may collect or initiate collection of data related to the
above and
determine a measure or ranking of reputation. A measure or ranking of an
entity's reputation
may be used by a smart contract circuit or robotic process automation system
in determining
whether to enter into an agreement with the entity, determination of terms and
conditions of a
loan, interest rates, and the like. In certain embodiments, indicia of a
reputation determination
may be related to outcomes of one or more transactions (e.g., a comparison of
"likes" on a
particular social media data set to an outcome index, such as successful
payments, successful
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negotiation outcomes, ability to liquidate a particular type of collateral,
etc.) to determine the
measure or ranking of an entity's reputation. One of skill in the art, having
the benefit of the
disclosure herein and knowledge ordinarily available about a contemplated
system, can
readily determine the purposes and use of the reputation, a measure or ranking
of the
reputation, and/or utilization of the reputation in negotiations,
determination of terms and
conditions, determination of whether to proceed with a transaction, and other
various
embodiments and contexts disclosed herein.
[00202] The term collection in various forms (e.g. collector) may also more
specifically be
utilized herein to describe a party or entity that induces, administrates, or
facilitates a
collection action, collection event, or other collection related context. The
measure of
reputation of a party involved, such as a collector, or during the context of
a collection, may
be estimated or calculated using objective, subjective, or historical metrics
or data. For
example, a collector may be involved in a collection action, and the
reputation of that
collector may be used to determine decisions, actions or conditions.
Similarly, a collection
may be also used to describe objective, subjective or historical metrics or
data to measure the
reputation of a party involved, such as a lender, borrower or debtor. In some
circumstances a
smart contract circuit or robotic process automation system may render a
collection or
measures, or implement a collector, within the context of a transaction or
loan.
[00203] The term collection and data collection in various forms, including
data collection
systems, may also more specifically be utilized herein to describe a context
relating to the
acquisition, organization, or processing of data, or combinations thereof,
without limitation.
The result of such a data collection may be related or wholly unrelated to a
collection of
items (e.g., grouping of the items, either physically or logically), or
actions taken for
delinquent payments (e.g., collection of collateral, a debt, or the like),
without limitation. For
example, a data collection may be performed by a data collection system,
wherein data is
acquired, organized or processed for decision-making, monitoring, or other
purposes of
prospective or actual transaction or loan. In some circumstances a smart
contract or robotic
process automation system may incorporate data collection or a data collection
system, to
perform portions or entire tasks of data collection, without limitation. One
of skill in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
for a
contemplated system, can readily determine and distinguish the purposes and
use of
collection in the context of data or information as used herein.
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[00204] The terms refinance, refinancing activity(ies), refinancing
interactions, refinancing
outcomes, and similar terms, as utilized herein should be understood broadly.
Without
limitation to any other aspect or description of the present disclosure
refinance and
refinancing activities include replacing an existing mortgage, loan, bond,
debt transaction, or
the like with a new mortgage, loan, bond, or debt transaction that pays off or
ends the
previous financial arrangement. In certain embodiments, any change to terms
and conditions
of a loan, and/or any material change to terms and conditions of a loan, may
be considered a
refinancing activity. In certain embodiments, a refinancing activity is
considered only those
changes to a loan agreement that result in a different financial outcome for
the loan
agreement. Typically, the new loan should be advantageous to the borrower or
issuer, and/or
mutually agreeable (e.g., improving a raw financial outcome of one, and a
security or other
outcome for the other). Refinancing may be done to reduce interest rates,
lower regular
payments, change the loan term, change the collateral associated with the
loan, consolidate
debt into a single loan, restructure debt, change a type of loan (e.g.
variable rate to fixed rate),
pay off a loan that is due, in response to an improved credit score, to
enlarge the loan, and/or
in response to a change in market conditions (e.g. interest rates, value of
collateral, and the
like).
[00205] Refinancing activity may include initiating an offer to refinance,
initiating a request
to refinance, configuring a refinancing interest rate, configuring a
refinancing payment
schedule, configuring a refinancing balance in a response to the amount or
terms of the
refinanced loan, configuring collateral for a refinancing including changes in
collateral used,
changes in terms and conditions for the collateral, a change in the amount of
collateral and
the like, managing use of proceeds of a refinancing, removing or placing a
lien on different
items of collateral as appropriate given changes in terms and conditions as
part of a
refinancing, verifying title for a new or existing item of collateral to be
used to secure the
refinanced loan, managing an inspection process title for a new or existing
item of collateral
to be used to secure the refinanced loan, populating an application to
refinance a loan,
negotiating terms and conditions for a refinanced loan and closing a
refinancing. Refinance
and refinancing activities may be disclosed in the context of data collection
and monitoring
services that collect a training set of interactions between entities for a
set of loan refinancing
activities. Refinance and refinancing activities may be disclosed in the
context of an artificial
intelligence system that is trained using the collected training set of
interactions that includes
both refinancing activities and outcomes. The trained artificial intelligence
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to recommend a refinance activity, evaluate a refinance activity, make a
prediction around an
expected outcome of refinancing activity, and the like. Refinance and
refinancing activities
may be disclosed in the context of smart contract systems which may automate a
subset of the
interactions and activities of refinancing. In an example, a smart contract
system may
automatically adjust an interest rate for a loan based on information
collected via at least one
of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services. The interest
rate may be
adjusted based on rules, thresholds, model parameters that determine, or
recommend, an
interest rate for refinancing a loan based on interest rates available to the
lender from
secondary lenders, risk factors of the borrower (including predicted risk
based on one or more
predictive models using artificial intelligence), marketing factors (such as
competing interest
rates offered by other lenders), and the like. Outcomes and events of a
refinancing activity
may be recorded in a distributed ledger. Based on the outcome of a refinance
activity, a smart
contract for the refinance loan may be automatically reconfigured to define
the terms and
conditions for the new loan such as a principal amount of debt, a balance of
debt, a fixed
interest rate, a variable interest rate, a payment amount, a payment schedule,
a balloon
payment schedule, a specification of collateral, a specification of
substitutability of collateral,
a party, a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a
covenant, a foreclose condition, a default condition, and a consequence of
default.
[00206] One of skill in the art, having the benefit of the disclosure herein
and knowledge
ordinarily available about a contemplated system can readily determine which
aspects of the
present disclosure will benefit from a particular application of a refinance
activity, how to
choose or combine refinance activities, how to implement systems, services, or
circuits to
automatically perform of one or more (or all) aspects of a refinance activity,
and the like.
Certain considerations for the person of skill in the art, or embodiments of
the present
disclosure in choosing an appropriate training sets of interactions with which
to train an
artificial intelligence to take action, recommend or predict the outcome of
certain refinance
activities. While specific examples of refinance and refinancing activities
are described
herein for purposes of illustration, any embodiment benefitting from the
disclosures herein,
and any considerations understood to one of skill in the art having the
benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00207] The terms consolidate, consolidation activity(ies), loan
consolidation, debt
consolidation, consolidation plan, and similar terms, as utilized herein
should be understood
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broadly. Without limitation to any other aspect or description of the present
disclosure
consolidate, consolidation activity(ies), loan consolidation, debt
consolidation, consolidation
plan are related to the use of a single large loan to pay off several smaller
loans, and/or the
use of one or more of a set of loans to pay off at least a portion of one or
more of a second set
of loans. In embodiments, loan consolidation may be secured (i.e. backed by
collateral) or
unsecured. Loans may be consolidated to obtain a lower interest rate than one
or more of the
current loans, to reduce total monthly loan payments, and/or to bring a debtor
into
compliance on the consolidated loans or other debt obligations of the debtor.
Loans that may
be classified as candidates for consolidation may be determined based on a
model that
processes attributes of entities involved in the set of loans including
identity of a party,
interest rate, payment balance, payment temls, payment schedule, type of loan,
type of
collateral, financial condition of party, payment status, condition of
collateral, and value of
collateral. Consolidation activities may include managing at least one of
identification of
loans from a set of candidate loans, preparation of a consolidation offer,
preparation of a
consolidation plan, preparation of content communicating a consolidation
offer, scheduling a
consolidation offer, communicating a consolidation offer, negotiating a
modification of a
consolidation offer, preparing a consolidation agreement, executing a
consolidation
agreement, modifying collateral for a set of loans, handling an application
workflow for
consolidation, managing an inspection, managing an assessment, setting an
interest rate,
deferring a payment requirement, setting a payment schedule, and closing a
consolidation
agreement. In embodiments, there may be systems, circuits, and/or services
configured to
create, configure (such as using one or more templates or libraries), modify,
set, or otherwise
handle (such as in a user interface) various rules, thresholds, conditional
procedures,
workflows, model parameters, and the like to determine, or recommend, a
consolidation
action or plan for a lending transaction or a set of loans based on one or
more events,
conditions, states, actions, or the like. In embodiments, a consolidation plan
may be based on
various factors, such as the status of payments, interest rates of the set of
loans, prevailing
interest rates in a platform marketplace or external marketplace, the status
of the borrowers of
a set of loans, the status of collateral or assets, risk factors of the
borrower, the lender, one or
more guarantors, market risk factors and the like. Consolidation and
consolidation activities
may be disclosed in the context of data collection and monitoring services
that collect a
training set of interactions between entities for a set of loan consolidation
activities.
consolidation and consolidation activities may be disclosed in the context of
an artificial
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intelligence system that is trained using the collected training set of
interactions that includes
both consolidation activities and outcomes associated with those activities.
The trained
artificial intelligence may then be used to recommend a consolidation
activity, evaluate a
consolidation activity, make a prediction around an expected outcome of
consolidation
activity, and the like based models including status of debt, condition of
collateral or assets
used to secure or back a set of loans, the state of a business or business
operation (e.g.,
receivables, payables, or the like), conditions of parties (such as net worth,
wealth, debt,
location, and other conditions), behaviors of parties (such as behaviors
indicating preferences,
behaviors indicating debt preferences), and others. Debt consolidation, loan
consolidation and
associated consolidation activities may be disclosed in the context of smart
contract systems
which may automate a subset of the interactions and activities of
consolidation. In
embodiments, consolidation may include consolidation with respect to terms and
conditions
of sets of loans, selection of appropriate loans, configuration of payment
terms for
consolidated loans, configuration of payoff plans for pre-existing loans,
communications to
encourage consolidation, and the like. In embodiments the artificial
intelligence of a smart
contract may automatically recommend or set rules, thresholds, actions,
parameters and the
like (optionally by learning to do so based on a training set of outcomes over
time), resulting
in a recommended consolidation plan, which may specify a series of actions
required to
accomplish a recommended or desired outcome of consolidation (such as within a
range of
acceptable outcomes), which may be automated and may involve conditional
execution of
steps based on monitored conditions and/or smart contract terms, which may be
created,
configured, and/or accounted for by the consolidation plan. Consolidation
plans may be
determined and executed based at least one part on market factors (such as
competing interest
rates offered by other lenders, values of collateral, and the like) as well as
regulatory and/or
compliance factors. Consolidation plans may be generated and/or executed for
creation of
new consolidated loans, for secondary loans related to consolidated loans, for
modifications
of existing loans related to consolidation, for refinancing terms of a
consolidated loan, for
foreclosure situations (e.g., changing from secured loan rates to unsecured
loan rates), for
bankruptcy or insolvency situations, for situations involving market changes
(e.g., changes in
prevailing interest rates) and others. consolidation.
[00208] Certain of the activities related to loans, collateral, entities and
the like may apply
to a wide variety of loans and may not apply explicitly to consolidation
activities. The
categorization of the activities as consolidation activities may be based on
the context of the
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loan for which the activities are taking place. However, one of skill in the
art, having the
benefit of the disclosure herein and knowledge ordinarily available about a
contemplated
system can readily determine which aspects of the present disclosure will
benefit from a
particular application of a consolidation activity, how to choose or combine
consolidation
activities, how to implement selected services, circuits, and/or systems
described herein to
perform certain loan consolidation operations, and the like. While specific
examples of
consolidation and consolidation activities are described herein for purposes
of illustration,
any embodiment benefitting from the disclosures herein, and any considerations
understood
to one of skill in the art having the benefit of the disclosures herein, are
specifically
contemplated within the scope of the present disclosure.
[00209] The terms factoring a loan, factoring a loan transaction, factors,
factoring a loan
interaction, factoring assets or sets of assets used for factoring and similar
terms, as utilized
herein should be understood broadly. Without limitation to any other aspect or
description of
the present disclosure factoring may be applied to factoring assets such as
invoices,
inventory, accounts receivable, and the like, where the realized value of the
item is in the
future. For example, the accounts receivable are worth more when it has been
paid and there
is less risk of default. Inventory and Work in Progress (WIP) may be worth
more as final
product rather than components. References to accounts receivable should be
understood to
encompass these terms and not be limiting. Factoring may include a sale of
accounts
receivable at a discounted rate for value in the present (often cash).
Factoring may also
include the use of accounts receivable as collateral for a short term loan. In
both cases the
value of the accounts receivable or invoices may be discounted for multiple
reasons including
the future value of money, a term of the accounts receivable (e.g., 30 day net
payment vs. 90
day net payment), a degree of default risk on the accounts receivable, a
status of receivables,
a status of work-in-progress (WIP), a status of inventory, a status of
delivery and/or
shipment, financial condition(s) of parties owing against the accounts
receivable, a status of
shipped and/or billed, a status of payments, a status of the borrower, a
status of inventory, a
risk factor of a borrower, a lender, one or more guarantors, market risk
factors, a status of
debt (are there other liens present on the accounts receivable or payment owed
on the
inventory, a condition of collateral assets (e.g. the condition of the
inventory- is it current or
out of date, are invoices in arrears), a state of a business or business
operation, a condition of
a party to the transaction (such as net worth, wealth, debt, location, and
other conditions), a
behavior of a party to the transaction (such as behaviors indicating
preferences, behaviors
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indicating negotiation styles, and the like), current interest rates, any
current regulatory and
compliance issues associated with the inventory or accounts receivable (e.g.
if inventory is
being factored, has the intended product received appropriate approvals), and
there legal
actions against the borrower, and many others, including predicted risk based
on one or more
predictive models using artificial intelligence). A factor is an individual,
business, entity, or
groups thereof which agree to provide value inf exchange for either the
outright acquisition of
the invoices in a sale or the use of the invoices as collateral for a loan for
the value. Factoring
a loan may include the identification of candidates (both lenders and
borrowers) for
factoring, a plan for factoring specifying the proposed receivables (e.g. all,
some, only those
meeting certain criteria), and a proposed discount factor, communication of
the plan to
potential parties, proffering an offer and receiving an offer, verification of
quality of
receivables, conditions regarding treatment of the receivables for the term of
the loan. While
specific examples of factoring and factoring activities are described herein
for purposes of
illustration, any embodiment benefitting from the disclosures herein, and any
considerations
understood to one of skill in the art having the benefit of the disclosures
herein, are
specifically contemplated within the scope of the present disclosure.
[00210] The terms mortgage, brokering a mortgage, mortgage collateral,
mortgage loan
activities, and/or mortgage related activities as utilized herein should be
understood broadly.
Without limitation to any other aspect or description of the present
disclosure, a mortgage is
an interaction where a borrower provides the title or a lien on the title of
an item of value,
typically property, to a lender as security in exchange for money or another
item of value, to
be repaid, typically with interest, to the lender. The exchange includes the
condition that,
upon repayment of the loan, the title reverts to the borrower and/or the lien
on the property is
removed. The brokering of a mortgage may include the identification of
potential properties,
lenders, and other parties to the loan, and arranging or negotiating the terms
of the mortgage.
Certain components or activities may not be considered mortgage related
individually, but
may be considered mortgage related when used in conjunction with a mortgage,
act upon a
mortgage, are related to an entity or party to a mortgage, and the like. For
example, brokering
may apply to the offering of a variety of loans including unsecured loans,
outright sale of
property and the like. Mortgage activities and mortgage interactions may
include mortgage
marketing activity, identification of a set of prospective borrowers,
identification of property
to mortgage, identification of collateral property to mortgage, qualification
of borrower, title
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property inspection, or property valuation for prospective mortgage property,
income
verification, borrower demographic analysis, identification of capital
providers,
determination of available interest rates, determination of available payment
terms and
conditions, analysis of existing mortgage(s), comparative analysis of existing
and new
mortgage terms, completion of application workflow (e.g. keep the application
moving
forward by initiating next steps in the process as appropriate), population of
fields of
application, preparation of mortgage agreement, completion of schedule for
mortgage
agreement, negotiation of mortgage terms and conditions with capital provider,
negotiation of
mortgage terms and conditions with borrower, transfer of title, placement of
lien on
mortgaged property and closing of mortgage agreement, and similar terms, as
utilized herein
should be understood broadly. While specific examples of mortgages and
mortgage brokering
are described herein for purposes of illustration, any embodiment benefitting
from the
disclosures herein, and any considerations understood to one of skill in the
art having the
benefit of the disclosures herein, are specifically contemplated within the
scope of the present
disclosure.
[00211] The terms debt management, debt transactions, debt actions, debt terms
and
conditions, syndicating debt, consolidating debt, and/or debt portfolios, as
utilized herein
should be understood broadly. Without limitation to any other aspect or
description of the
present disclosure a debt includes something of monetary value that is owed to
another. A
loan typically results in the borrower holding the debt (e.g. the money that
must be paid back
according to the terms of the loan, which may include interest). Consolidation
of debt
includes the use of a new, single loan to pay back multiple loans (or various
other
configurations of debt structuring as described herein, and as understood to
one of skill in the
art). Often the new loan may have better terms or lower interest rates. Debt
portfolios include
a number of pieces or groups of debt, often having different characteristics
including term,
risk, and the like. Debt portfolio management may involve decisions regarding
the quantity
and quality of the debt being held and how best to balance the various debts
to achieve a
desired risk/reward position based on: investment policy, return on risk
determinations for
individual pieces of debt, or groups of debt. Debt may be syndicated where
multiple lenders
fund a single loan (or set of loans) to a borrower. Debt portfolios may be
sold to a third party
(e.g., at a discounted rate). Debt compliance includes the various measures
taken to ensure
that debt is repaid. Demonstrating compliance may include documentation of the
actions
taken to repay the debt.
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[00212] Transactions related to a debt (debt transactions) and actions related
to the debt
(debt actions) may include offering a debt transaction, underwriting a debt
transaction, setting
an interest rate, deferring a payment requirement, modifying an interest rate,
validating title,
managing inspection, recording a change in title, assessing the value of an
asset, calling a
loan, closing a transaction, setting terms and conditions for a transaction,
providing notices
required to be provided, foreclosing on a set of assets, modifying terms and
conditions,
setting a rating for an entity, syndicating debt, and/or consolidating debt.
Debt terms and
conditions may include a balance of debt, a principal amount of debt, a fixed
interest rate, a
variable interest rate, a payment amount, a payment schedule, a balloon
payment schedule, a
specification of assets that back the bond, a specification of
substitutability of assets, a party,
an issuer, a purchaser, a guarantee, a guarantor, a security, a personal
guarantee, a lien, a
duration, a covenant, a foreclose condition, a default condition, and a
consequence of default.
While specific examples of debt management and debt management activities are
described
herein for purposes of illustration, any embodiment benefitting from the
disclosures herein,
and any considerations understood to one of skill in the art having the
benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00213] The terms condition, condition classification, classification models,
condition
management, and similar terms, as utilized herein should be understood
broadly. Without
limitation to any other aspect or description of the present disclosure
condition, condition
classification, classification models, condition management, include
classifying or
determining a condition of an asset, issuer, borrower, loan, debt, bond,
regulatory status, term
or condition for a bond, loan or debt transaction that is specified and
monitored in the
contract, and the like. Based on a classified condition of an asset, condition
management may
include actions to maintain or improve a condition of the asset or the use of
that asset as
collateral. Based on a classified condition of an issuer, borrower, party
regulatory status, and
the like, condition management may include actions to alter the terms or
conditions of a loan
or bond. Condition classification may include various rules, thresholds,
conditional
procedures, workflows, model parameters, and the like to classify a condition
of an asset,
issuer, borrower, loan, debt, bond, regulatory status, term or condition for a
bond, loan or
debt transaction, and the like based on data from Internet of Things devices,
data from a set
of environmental condition sensors, data from a set of social network analytic
services and a
set of algorithms for querying network domains, social media data,
crowdsourced data, and
the like. Condition classification may include grouping or labeling entities,
or clustering the
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entities, as similarly positioned with regard to some aspect of the classified
condition (e.g., a
risk, quality, ROI, likelihood for recovery, likelihood to default, or some
other aspect of the
related debt).
[00214] Various classification models are disclosed where the classification
and
classification model may be tied to a geographic location relating to the
collateral, the issuer,
the borrower, the distribution of the funds or other geographic locations.
Classification and
classification models are disclosed where artificial intelligence is used to
improve a
classification model (e.g. refine a model by making refinements using
artificial intelligence
data). Thus artificial intelligence may be considered, in some instances, as a
part of a
classification model and vice versa. Classification and classification models
are disclosed
where social media data, crowdsourced data, or IoT data is used as input for
refining a model,
or as input to a classification model. Examples of IoT data may include
images, sensor data,
location data, and the like. Examples of social media data or crowdsourced
data may include
behavior of parties to the loan, financial condition of parties, adherence to
a parties to a term
or condition of the loan, or bond, or the like. Parties to the loan may
include issuers of a
bond, related entities, lender, borrower, 3rd parties with an interest in the
debt. Condition
management may be discussed in connection with smart contract services which
may include
condition classification, data collection and monitoring, and bond, loan and
debt transaction
management. Data collection and monitoring services are also discussed in
conjunction with
classification and classification models which are related when classifying an
issuer of a bond
issuer, an asset or collateral asset related to the bond, collateral assets
backing the bond,
parties to the bond, and sets of the same. In some embodiments a
classification model may be
included when discussing bond types. Specific steps, factors or refinements
may be
considered a part of a classification model. In various embodiments, the
classification model
may change both in an embodiment, or in the same embodiment which is tied to a
specific
jurisdiction. Different classification models may use different data sets
(e.g. based on the
issuer, the borrower, the collateral assets, the bond type, the loan type, and
the like) and
multiple classification models may be used in a single classification. For
example, one type
of bond, such as a municipal bond, may allow a classification model that is
based on bond
data from municipalities of similar size and economic prosperity, whereas
another
classification model may emphasize data from IoT sensors associated with a
collateral asset.
Accordingly, different classification models will offer benefits or risks over
other
classification models, depending upon the embodiment and the specifics of the
bond, loan or
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debt transaction. A classification model includes an approach or concept for
classification.
Conditions classified for a bond, loan, or debt transaction may include a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of assets that
back the bond,
loan or debt transaction, a specification of substitutability of assets, a
party, an issuer, a
purchaser, a guarantee, a guarantor, a security, a personal guarantee, a lien,
a duration, a
covenant, a foreclose condition, a default condition, and/or a consequence of
default.
Conditions classified may include type of bond issuer such as a municipality,
a corporation, a
contractor, a government entity, a non-governmental entity, and a non-profit
entity. Entities
may include a set of issuers, a set of bonds, a set of parties, and/or a set
of assets. Conditions
classified may include an entity condition such as net worth, wealth, debt,
location, and other
conditions), behaviors of parties (such as behaviors indicating preferences,
behaviors
indicating debt preferences), and the like. Conditions classified may include
an asset or type
of collateral such as a municipal asset, a vehicle, a ship, a plane, a
building, a home, real
estate property, undeveloped land, a farm, a crop, a municipal facility, a
warehouse, a set of
inventory, a commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a
consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, an item of intellectual property, an intellectual property right, a
contractual right,
an antique, a fixture, an item of furniture, an item of equipment, a tool, an
item of machinery,
and an item of personal property. Conditions classified may include a bond
type where bond
type may include a municipal bond, a government bond, a treasury bond, an
asset-backed
bond, and a corporate bond. Conditions classified may include a default
condition, a
foreclosure condition, a condition indicating violation of a covenant, a
financial risk
condition, a behavioral risk condition, a policy risk condition, a financial
health condition, a
physical defect condition, a physical health condition, an entity risk
condition and an entity
health condition. Conditions classified may include an environment where
environment may
include an environment selected from among a municipal environment, a
corporate
environment, a securities trading environment, a real property environment, a
commercial
facility, a warehousing facility, a transportation environment, a
manufacturing environment, a
storage environment, a home, and a vehicle. Actions based on the condition of
an asset,
issuer, borrower, loan, debt, bond, regulatory status and the like, may
include managing,
reporting on, syndicating, consolidating, or otherwise handling a set of bonds
(such as
municipal bonds, corporate bonds, performance bonds, and others), a set of
loans (subsidized
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and unsubsidized, debt transactions and the like, monitoring, classifying,
predicting, or
otherwise handling the reliability, quality, status, health condition,
financial condition,
physical condition or other information about a guarantee, a guarantor, a set
of collateral
supporting a guarantee, a set of assets backing a guarantee, or the like. Bond
transaction
activities in response to a condition of the bond may include offering a debt
transaction,
underwriting a debt transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
assessing the value of an asset, calling a loan, closing a transaction,
setting terms and
conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
assets, modifying terms and conditions, setting a rating for an entity,
syndicating debt, and/or
consolidating debt.
[00215] One of skill in the art, having the benefit of the disclosure herein
and knowledge
ordinarily available about a contemplated system, can readily determine which
aspects of the
present disclosure will benefit a particular application for a classification
model, how to
choose or combine classification models to arrive at a condition, and/or
calculate a value of
collateral given the required data. Certain considerations for the person of
skill in the art, or
embodiments of the present disclosure in choosing an appropriate condition to
manage,
include, without limitation: the legality of the condition given the
jurisdiction of the
transaction, the data available for a given collateral, the anticipated
transaction type (loan,
bond or debt), the specific type of collateral, the ratio of the loan to
value, the ratio of the
collateral to the loan, the gross transaction/loan amount, the credit scores
of the borrower and
the lender, and other considerations. While specific examples of conditions,
condition
classification, classification models, and condition management are described
herein for
purposes of illustration, any embodiment benefitting from the disclosures
herein, and any
considerations understood to one of skill in the art having the benefit of the
disclosures
herein, are specifically contemplated within the scope of the present
disclosure.
[00216] The terms classify, classifying, classification, categorization,
categorizing,
categorize (and similar terms) as utilized herein should be understood
broadly. Without
limitation to any other aspect or description of the present disclosure,
classifying a condition
or item may include actions to sort the condition or item into a group or
category based on
some aspect, attribute, or characteristic of the condition or item where the
condition or item is
common or similar for all the items placed in that classification, despite
divergent
classifications or categories based on other aspects or conditions at the
time. Classification

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may include recognition of one or more parameters, features, characteristics,
or phenomena
associated with a condition or parameter of an item, entity, person, process,
item, financial
construct, or the like. Conditions classified by a condition classifying
system may include a
default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a contractual
performance condition, a
policy risk condition, a financial health condition, a physical defect
condition, a physical
health condition, an entity risk condition, and/or an entity health condition.
A classification
model may automatically classify or categorize items, entities, process,
items, financial
constructs or the like based on data received from a variety of sources. The
classification
model may classify items based on a single attribute or a combination of
attributes, and/or
may utilize data regarding the items to be classified and a model. The
classification model
may classify individual items, entities, financial constructs or groups of the
same. A bond
may be classified based on the type of bond ((e.g. municipal bonds, corporate
bonds,
performance bonds, and the like), rate of return, bond rating (31d party
indicator of bond
quality with respect to bond issuer's financial strength, and/or ability to
bap bond's principal
and interest, and the like. Lenders or bond issuers may be classified based on
the type of
lender or issuer, permitted attributes (e.g. based on income, wealth, location
(domestic or
foreign), various risk factors, status of issuers, and the like. Borrowers may
be classified
based on permitted attributes (e.g. income, wealth, total assets, location,
credit history), risk
factors, current status (e.g. employed, a student), behaviors of parties (such
as behaviors
indicating preferences, reliability, and the like), and the like. A condition
classifying system
may classify a student recipient of a loan based on progress of the student
toward a degree,
the students grades or standing in their classes, students status at the
school (matriculated, on
probation and the like), the participation of a student in a non-profit
activity, a deferment
status of the student, and the participation of the student in a public
interest activity.
Conditions classified by a condition classifying system may include a state of
a set of
collateral for a loan or a state of an entity relevant to a guarantee for a
loan. Conditions
classified by a condition classifying system may include a medical condition
of a borrower,
guarantor, subsidizer or the like. Conditions classified by a condition
classifying system may
include compliance with at least one of a law, a regulation, or a policy
related to a lending
transaction or lending institute. Conditions classified by a condition
classifying system may
include a condition of an issuer for a bond, a condition of a bond, a rating
of a loan-related
entity, and the like. Conditions classified by a condition classifying system
may include an
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identify of a machine, a component, or an operational mode. Conditions
classified by a
condition classifying system may include a state or context (such as a state
of a machine, a
process, a workflow, a marketplace, a storage system, a network, a data
collector, or the like).
A condition classifying system may classify a process involving a state or
context (e.g., a data
storage process, a network coding process, a network selection process, a data
marketplace
process, a power generation process, a manufacturing process, a refining
process, a digging
process, a boring process, and/or other process described herein. A condition
classifying
system may classify a set of loan refinancing actions based on a predicted
outcome of the set
of loan refinancing actions. A condition classifying system may classify a set
of loans as
candidates for consolidation based on attributes such as identity of a party,
an interest rate, a
payment balance, payment terms, payment schedule, a type of loan, a type of
collateral, a
financial condition of party, a payment status, a condition of collateral, a
value of collateral,
and the like. A condition classifying system may classify the entities
involved in a set of
factoring loans, bond issuance activities, mortgage loans, and the like. A
condition classifying
system may classify a set of entities based on projected outcomes from various
loan
management activities. A condition classifying system may classify a condition
of a set of
issuers based on information from Internet of Things data collection and
monitoring services,
a set of parameters associated with an issuer, a set of social network
monitoring and analytic
services, and the like. A condition classifying system may classify a set of
loan collection
actions, loan consolidation actions, loan negotiation actions, loan
refinancing actions and the
like based on a set of projected outcomes for those activities and entities.
[00217] The term subsidized loan, subsidizing a loan, (and similar terms) as
utilized herein
should be understood broadly. Without limitation to any other aspect or
description of the
present disclosure, a subsidized loan is the loan of money or an item of value
wherein
payment of interest on the value of the loan may be deferred, postponed or
delayed, with or
without accrual, such as while the borrower is in school, is unemployed, is
ill, and the like. In
embodiments, a loan may be subsidized when the payment of interest on a
portion or subset
of the loan is borne or guaranteed by someone other than the borrower.
Examples of
subsidized loans may include a municipal subsidized loan, a government
subsidized loan, a
student loan, an asset-backed subsidized loan, and a corporate subsidized
loan. An example
of a subsidized student loan may include student loans which may be subsidized
by the
government and on which interest may be deferred or not accrue based on
progress of the
student toward a degree, the participation of a student in a non-profit
activity, a deferment
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status of the student, and the participation of the student in a public
interest activity. An
example of a government subsidized housing loan may include governmental
subsidies which
may exempt the borrower from paying closing costs, first mortgage payment and
the like.
Conditions for such subsidized loans may include location of the property
(rural or urban),
income of the borrower, military status of the borrower, ability of the
purchased home to
meet health and safety standards, a limit on the profits you can earn on the
sale of your home,
and the like. Certain usages of the word loan may not apply to a subsidized
loan but rather to
a regular loan. One of skill in the art, having the benefit of the disclosure
herein and
knowledge about a contemplated system ordinarily available to that person, can
readily
determine which aspects of the present disclosure will benefit from
consideration of a
subsidized loan (e.g., in determining the value of the loan, negotiations
related to the loan,
terms and conditions related to the loan, etc.) wherein the borrower may be
relieved of some
of the loan obligations common for non-subsidized loans, where the subsidy may
include
forgiveness, delay or deferment of interest on a loan, or the payment of the
interest by a third
party. The subsidy may include the payment of closing costs including points,
first payment
and the like by a person or entity other than the borrower, and/or how to
combine processes
and systems from the present disclosure to enhance or benefit from title
validation.
[00218] The term subsidized loan management (and similar terms) as utilized
herein should
be understood broadly. Without limitation to any other aspect or description
of the present
disclosure, subsidized loan management may include a plurality of activities
and solutions for
managing or responding to one or more events related to a subsidized loan
wherein such
events may include requests for a subsidized loan, offering a subsidized loan,
accepting a
subsidized loan, providing underwriting information for a subsidized loan,
providing a credit
report on a borrower seeking a subsidized loan, deferring a required payment
as part of the
loan subsidy, setting an interest rate for a subsidized loan where a lower
interest rate may be
part of the subsidy, deferring a payment requirement as part of the loan
subsidy, identifying
collateral for a loan, validating title for collateral or security for a loan,
recording a change
in title of property, assessing the value of collateral or security for a
loan, inspecting
property that is involved in a loan, identifying a change in condition of an
entity relevant
to a loan, a change in value of an entity that is relevant to a loan, a change
in job status of a
borrower, a change in financial rating of a lender, a change in financial
value of an item
offered as a security, providing insurance for a loan, providing evidence of
insurance for
property related to a loan, providing evidence of eligibility for a loan,
identifying security
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for a loan, underwriting a loan, making a payment on a loan, defaulting on a
loan, calling a
loan, closing a loan, setting terms and conditions for a loan, foreclosing on
property subject
to a loan, modifying terms and conditions for a loan, for setting terms and
conditions for a
loan (such as a principal amount of debt, a balance of debt, a fixed interest
rate, a variable
interest rate, a payment amount, a payment schedule, a balloon payment
schedule, a
specification of collateral, a specification of substitutability of
collateral, a party, a guarantee,
a guarantor, a security, a personal guarantee, a lien, a duration, a covenant,
a foreclose
condition, a default condition, and a consequence of default), or managing
loan-related
activities (such as, without limitation, finding parties interested in
participating in a loan
transaction, handling an application for a loan, underwriting a loan, forming
a legal contract
for a loan, monitoring performance of a loan, making payments on a loan,
restructuring or
amending a loan, settling a loan, monitoring collateral for a loan, forming a
syndicate for a
loan, foreclosing on a loan, collecting on a loan, consolidating a set of
loans, analyzing
performance of a loan, handling a default of a loan, transferring title of
assets or collateral,
and closing a loan transaction), and the like. In embodiments, a system for
handling a
subsidized loan may include classifying a set of parameters of a set of
subsidized loans on the
basis of data relating to those parameters obtained from an Internet of Things
data collection
and monitoring service. Classifying the set of parameters of the set of
subsidized loans may
also be on the bases of data obtained from one or more configurable data
collection and
monitoring services that leverage social network analytic services, crowd
sourcing services,
and the like for obtaining parameter data (e.g., determination that a person
or entity is
qualified for the subsidized loan, determining a social value of providing the
subsidized loan
or removing a subsidization from a loan, determining that a subsidizing entity
is legitimate,
determining appropriate subsidization terms based on characteristics of the
buyer and/or
subsidizer, etc.).
[00219] The term foreclose, foreclosure, foreclose or foreclosure condition,
default
foreclosure collateral, default collateral, (and similar terms) as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, foreclose condition, default and the like describe the failure of
a borrower to meet
the terms of a loan. Without limitation to any other aspect or description of
the present
disclosure foreclose and foreclosure include processes by which a lender
attempts to recover,
from a borrower in a foreclose or default condition, the balance of a loan or
take away in lieu,
the right of a borrower to redeem a mortgage held in security for the loan.
Failure to meet the
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terms of the loan may include failure to make specified payments, failure to
adhere to a
payment schedule, failure to make a balloon payment, failure to appropriately
secure the
collateral, failure to sustain collateral in a specified condition (e.g. in
good repair), acquisition
of a second loan, and the like. Foreclosure may include a notification to the
borrower, the
public, jurisdictional authorities of the forced sale of an item collateral
such as through a
foreclosure auction. Upon foreclosure, an item of collateral may be placed on
a public auction
site (such as eBayTM or an auction site appropriate for a particular type of
property. The
minimum opening bid for the item of collateral may be set by the lender and
may cover the
balance of the loan, interest on the loan, fees associated with the
foreclosure and the like.
Attempts to recover the balance of the loan may include the transfer of the
deed for an item of
collateral in lieu of foreclosure (e.g. a real-estate mortgage where the
borrower holds the deed
for a property which acts as collateral for the mortgage loan). Foreclosure
may include taking
possession of or repossessing the collateral (e.g. a car, a sports vehicle
such as a boat, ATV,
ski-mobile, jewelry). Foreclosure may include securing an item of collateral
associated with
the loan (such as by locking a connected device, such as a smart lock, smart
container, or the
like that contains or secures collateral). Foreclosure may include arranging
for the shipping of
an item of collateral by a carrier, freight forwarder of the like. Foreclosure
may include
arranging for the transport of an item of collateral by a drone, a robot, or
the like for
transporting collateral. In embodiments, a loan may allow for the substitution
of collateral or
the shifting of the lien from an item of collateral initially used to secure
the loan to a
substitute collateral where the substitute collateral is of higher value (to
the lender) than the
initial collateral or is an item in which the borrower has a greater equity.
The result of the
substitution of collateral is that when the loan goes into foreclosure, it is
the substitute
collateral that may be the subject of a forced sale or seizure. Certain usages
of the word
default may not apply to such as to foreclose but rather to a regular or
default condition of an
item. One of skill in the art, having the benefit of the disclosure herein and
knowledge about
a contemplated system ordinarily available to that person, can readily
determine which
aspects of the present disclosure will benefit from foreclosure, and/or how to
combine
processes and systems from the present disclosure to enhance or benefit from
foreclosure.
Certain considerations for the person of skill in the art, in determining
whether the term
foreclosure, foreclose condition, default and the like is referring to failure
of a borrower to
meet the terms of a loan and the related attempts by the lender to recover the
balance of the
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[00220] The terms validation of tile, title validation, validating title, and
similar terms, as
utilized herein should be understood broadly. Without limitation to any other
aspect or
description of the present disclosure validation of title and title validation
include any efforts
to verify or confirm the ownership or interest by an individual or entity in
an item of property
such as a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual property,
an intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property. Efforts to
verify ownership may include reference to bills of sale, government
documentation of
transfer of ownership, a legal will transferring ownership, documentation of
retirement of
liens on the item of property, verification of assignment of Intellectual
Property to the
proposed borrower in the appropriate jurisdiction, and the like. For real-
estate property
validation may include a review of deeds and records at a courthouse of a
country, a state, a
county or a district in which a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a vehicle, a ship, a plane, or a warehouse
is located or
registered. Certain usages of the word validation may not apply to validation
of a title or title
validation but rather to confirmation that a process is operating correctly,
that an individual
has been correctly identified using biometric data, that intellectual property
rights are in
effect, that data is correct and meaningful, and the like. One of skill in the
art, having the
benefit of the disclosure herein and knowledge about a contemplated system
ordinarily
available to that person, can readily determine which aspects of the present
disclosure will
benefit from title validation, and/or how to combine processes and systems
from the present
disclosure to enhance or benefit from title validation. Certain considerations
for the person of
skill in the art, in determining whether the term validation is referring to
title validation, are
specifically contemplated within the scope of the present disclosure.
[00221] Without limitation to any other aspect or description of the present
disclosure,
validation includes any validating system including, without limitation,
validating title for
collateral or security for a loan, validating conditions of collateral for
security or a loan,
validating conditions of a guarantee for a loan, and the like. For instance, a
validation service
may provide lenders a mechanism to deliver loans with more certainty, such as
through
validating loan or security information components (e.g., income, employment,
title,
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conditions for a loan, conditions of collateral, and conditions of an asset).
In a non-limiting
example, a validation service circuit may be structured to validate a
plurality of loan
information components with respect to a financial entity configured to
determine a loan
condition for an asset. Certain components may not be considered a validating
system
individually, but may be considered validating in an aggregated system ¨ for
example, an
Internet of Things component may not be considered a validating component on
its own,
however an Internet of Things component utilized for asset data collection and
monitoring
may be considered a validating component when applied to validating a
reliability parameter
of a personal guarantee for a load when the Internet of Things component is
associated with a
collateralized asset. In certain embodiments, otherwise similar looking
systems may be
differentiated in determining whether such systems are for validation. For
example, a
blockchain-based ledger may be used to validate identities in one instance and
to maintain
confidential information in another instance. Accordingly, the benefits of the
present
disclosure may be applied in a wide variety of systems, and any such systems
may be
considered a system for validation herein, while in certain embodiments a
given system may
not be considered a validating system herein. One of skill in the art, having
the benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is a validating system
and/or whether
aspects of the present disclosure can benefit or enhance the contemplated
system include,
without limitation: a lending platform having a social network monitoring
system for
validating the reliability of a guarantee for a loan; a lending platform
having an Internet of
Things data collection and monitoring system for validating reliability of a
guarantee for a
loan; a lending platform having a crowdsourcing and automated classification
system for
validating conditions of an issuer for a bond; a crowdsourcing system for
validating quality,
title, or other conditions of collateral for a loan; a biometric identify
validation application
such as utilizing DNA or fingerprints; IoT devices utilized to collectively
validate location
and identity of a fixed asset that is tagged by a virtual asset tag;
validation systems utilizing
voting or consensus protocols; artificial intelligence systems trained to
recognize and validate
events; validating information such as title records, video footage,
photographs, or witnessed
statements; validation representations related to behavior, such as to
validate occurrence of
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conditions of compliance, to validate occurrence of conditions of default, to
deter improper
behavior or misrepresentations, to reduce uncertainty, or to reduce
asymmetries of
information; and the like.
[00222] The term underwriting (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure,
underwriting includes any underwriting, including, without limitation,
relating to
underwriters, providing underwriting information for a loan, underwriting a
debt transaction,
underwriting a bond transaction, underwriting a subsidized loan transaction,
underwriting a
securities transaction, and the like. Underwriting services may be provided by
financial
entities, such as banks, insurance or investment houses, and the like, whereby
the financial
entity guarantees payment in case of a determination of a loss condition
(e.g., damage or
financial loss) and accept the financial risk for liability arising from the
guarantee. For
instance, a bank may underwrite a loan through a mechanism to perform a credit
analysis that
may lead to a determination of a loan to be granted, such as through analysis
of personal
information components related to an individual borrower requesting a consumer
loan (e.g.,
employment history, salary and financial statements publicly available
information such as
the borrower's credit history), analysis of business financial information
components from a
company requesting a commercial load (e.g., tangible net worth, ratio of debt
to worth
(leverage), and available liquidity (current ratio)), and the like. In a non-
limiting example, an
underwriting services circuit may be structured to underwrite a financial
transaction including
a plurality of financial information components with respect to a financial
entity configured
to determine a financial condition for an asset. In certain embodiments,
underwriting
components may be considered underwriting for some purposes but not for other
purposes ¨
for example, an artificial intelligence system to collect and analyze
transaction data may be
utilized in conjunction with a smart contract platform to monitor loan
transactions, but
alternately used to collect and analyze underwriting data, such as utilizing a
model trained by
human expert underwriters. Accordingly, the benefits of the present disclosure
may be
applied in a wide variety of systems, and any such systems may be considered
underwriting
herein, while in certain embodiments a given system may not be considered
underwriting
herein. One of skill in the art, having the benefit of the disclosure herein
and knowledge
about a contemplated system ordinarily available to that person, can readily
determine which
aspects of the present disclosure will benefit a particular system, and/or how
to combine
processes and systems from the present disclosure to enhance operations of the
contemplated
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system. Certain considerations for the person of skill in the art, in
determining whether a
contemplated system is underwriting and/or whether aspects of the present
disclosure can
benefit or enhance the contemplated system include, without limitation: a
lending platform
having an underwriting system for a loan with a set of data-integrated
microservices such as
including data collection and monitoring services, blockchain services,
artificial intelligence
services, and smart contract services for underwriting lending entities and
transactions;
underwriting processes, operations, and services; underwriting data, such as
data relating to
identities of prospective and actual parties involved insurance and other
transactions,
actuarial data, data relating to probability of occurrence and/or extent of
risk associated with
activities, data relating to observed activities and other data used to
underwrite or estimate
risk; an underwriting application, such as, without limitation, for
underwriting any insurance
offering, any loan, or any other transaction, including any application for
detecting,
characterizing or predicting the likelihood and/or scope of a risk, an
underwriting or
inspection flow about an entity serving a lending solution, an analytics
solution, or an asset
management solution; underwriting of insurance policies, loans, warranties, or
guarantees; a
blockchain and smart contract platform for aggregating identity and behavior
information for
insurance underwriting, such as with an optional distributed ledger to record
a set of events,
transactions, activities, identities, facts, and other information associated
with an
underwriting process; a crowdsourcing platform such as for underwriting of
various types of
loans, and guarantees; an underwriting system for a loan with a set of data-
integrated
microservices including data collection and monitoring services, blockchain
services,
artificial intelligence services, and smart contract services for underwriting
lending entities
and transactions; an underwriting solution to create, configure, modify, set
or otherwise
handle various rules, thresholds, conditional procedures, workflows, or model
parameters; an
underwriting action or plan for management a set of loans of a given type or
types based on
one or more events, conditions, states, actions, secondary loans or
transactions to back loans,
for collection, consolidation, foreclosure, situations of bankruptcy of
insolvency,
modifications of existing loans, situations involving market changes,
foreclosure activities;
adaptive intelligent systems including artificial intelligent models trained
on a training set of
underwriting activities by experts and/or on outcomes of underwriting actions
to generate a
set of predictions, classifications, control instructions, plans, models;
underwriting system for
a loan with a set of data-integrated microservices including data collection
and monitoring
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services, blockchain services, artificial intelligence services, and smart
contract services for
underwriting lending entities and transactions; and the like.
[00223] The term insuring (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure,
insuring includes any insuring, including, without limitation, providing
insurance for a loan,
providing evidence of insurance for an asset related to a loan, a first entity
accepting a risk or
liability for another entity, and the like. Insuring, or insurance, may be a
mechanism through
which a holder of the insurance is provided protection from a financial loss,
such as in a form
of risk management against the risk of a contingent or uncertain loss. The
insuring
mechanism may provide for an insurance, determine the need for an insurance,
determine
evidence of insurance, and the like, such as related to an asset, transaction
for an asset, loan
for an asset, security, and the like. An entity which provides insurance may
be known as an
insurer, insurance company, insurance carrier, underwriter, and the like. For
instance, a
mechanism for insuring may provide a financial entity with a mechanism to
determine
evidence of insurance for an asset related to a loan. In a non-limiting
example, an insurance
service circuit may be structured to determine an evidence condition of
insurance for an asset
based on a plurality of insurance information components with respect to a
financial entity
configured to determine a loan condition for an asset. In certain embodiments,
components
may be considered insuring for some purposes but not for other purposes ¨ for
example a
blockchain and smart contract platform may be utilized to manage aspects of a
loan
transaction such as for identity and confidentiality, but may alternately be
utilized to
aggregate identity and behavior information for insurance underwriting.
Accordingly, the
benefits of the present disclosure may be applied in a wide variety of
systems, and any such
systems may be considered insuring herein, while in certain embodiments a
given system
may not be considered insuring herein. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is insuring and/or whether
aspects of the
present disclosure can benefit or enhance the contemplated system include,
without
limitation: insurance facilities such as branches, offices, storage
facilities, data centers,
underwriting operations and others; insurance claims, such as for business
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insurance, product liability insurance, insurance on goods, facilities, or
equipment, flood
insurance, insurance for contract-related risks, and many others, as well as
claims data
relating to product liability, general liability, workers compensation, injury
and other liability
claims and claims data relating to contracts, such as supply contract
perfomlance claims,
product delivery requirements, contract claims, claims for damages, claims to
redeem points
or rewards, claims of access rights, warranty claims, indemnification claims,
energy
production requirements, delivery requirements, timing requirements,
milestones, key
performance indicators and others; insurance-related lending; an insurance
service, an
insurance brokerage service, a life insurance service, a health insurance
service, a retirement
insurance service, a property insurance service, a casualty insurance service,
a finance and
insurance service, a reinsurance service; a blockchain and smart contract
platform for
aggregating identity and behavior information for insurance underwriting;
identities of
applicants for insurance, identities of parties that may be willing to offer
insurance,
information regarding risks that may be insured (of any type, without
limitation, such as
property, life, travel, infringement, health, home, commercial liability,
product liability, auto,
fire, flood, casualty, retirement, unemployment; distributed ledger may be
utilized to
facilitate offering and underwriting of microinsurance, such as for defined
risks related to
defined activities for defined time periods that are narrower than for typical
insurance
policies; providing insurance for a loan, providing evidence of insurance for
property related
to a loan; and the like.
[00224] The term aggregation (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure, an
aggregation or to aggregate includes any aggregation including, without
limitation,
aggregating items together, such as aggregating or linking similar items
together (e.g.,
collateral to provide collateral for a set of loans, collateral items for a
set of loans is
aggregated in real time based on a similarity in status of the set of items,
and the like),
collecting data together (e.g., for storage, for communication, for analysis,
as training data for
a model, and the like), summarizing aggregated items or data into a simpler
description, or
any other method for creating a whole formed by combining several (e.g.,
disparate)
elements. Further, an aggregator may be any system or platform for
aggregating, such as
described. Certain components may not be considered aggregation individually
but may be
considered aggregation in an aggregated system ¨ for example a collection of
loans may not
be considered an aggregation of loans of itself but may be an aggregation if
collected as such.
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In a non-limiting example, an aggregation circuit may be structured to provide
lenders a
mechanism to aggregate loans together from a plurality of loans, such as based
on a loan
attribute, parameter, term or condition, financial entity, and the like, to
become an
aggregation of loans. In certain embodiments, an aggregation may be considered
an
aggregation for some purposes but not for other purposes ¨ for example for
example, an
aggregation of asset collateral conditions may be collected for the purpose of
aggregating
loans together in one instance and for the purpose of determining a default
action in another
instance. Additionally, in certain embodiments, otherwise similar looking
systems may be
differentiated in determining whether such systems are aggregators, and/or
which type of
aggregating systems. For example, a first and second aggregator may both
aggregate
financial entity data, where the first aggregator aggregates for the sake of
building a training
set for an analysis model circuit and where the second aggregator aggregates
financial entity
data for storage in a blockchain-based distributed ledger. Accordingly, the
benefits of the
present disclosure may be applied in a wide variety of systems, and any such
systems may be
considered as aggregation herein, while in certain embodiments a given system
may not be
considered aggregation herein. One of skill in the art, having the benefit of
the disclosure
herein and knowledge about a contemplated system ordinarily available to that
person, can
readily determine which aspects of the present disclosure will benefit a
particular system,
and/or how to combine processes and systems from the present disclosure to
enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is aggregation and/or
whether aspects of
the present disclosure can benefit or enhance the contemplated system include,
without
limitation forward market demand aggregation (e.g., blockchain and smart
contract platform
for forward market demand aggregation, interest expressed or committed in a
demand
aggregation interface, blockchain used to aggregate future demand in a forward
market with
respect to a variety of products and services, process a set of potential
configurations having
different parameters for a subset of configurations that are consistent with
each other and the
subset of configurations used to aggregate committed future demand for the
offering that
satisfies a sufficiently large subset at a profitable price, and the like);
correlated aggregated
data (including trend information) on worker ages, credentials, experience
(including by
process type) with data on the processes in which those workers are involved;
demand for
accommodations aggregated in advance and conveniently fulfilled by automatic
recognition
of conditions that satisfy pre-configured commitments represented on a
blockchain (e.g.,
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distributed ledger); transportation offerings aggregated and fulfilled (e.g.,
with a wide range
of pre-defined contingencies); aggregation of goods and services on the
blockchain (e.g., a
distributed ledger used for demand planning); with respect to a demand
aggregation interface
(e.g., presented to one or more consumers); aggregation of multiple
submissions; aggregating
identity and behavior information (e.g., insurance underwriting); accumulation
and
aggregation of multiple parties; aggregation of data for a set of collateral;
aggregated value of
collateral or assets (e.g., based on real time condition monitoring, real-
time market data
collection and integration, and the like); aggregated tranches of loans;
collateral for smart
contract aggregated with other similar collateral; and the like.
[00225] The term linking (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure,
linking includes any linking, including, without limitation, linking as a
relationship between
two things or situations (e.g., where one thing affects the other). For
instance, linking a
subset of similar items such as collateral to provide collateral for a set of
loans. Certain
components may not be considered linked individually, but may be considered in
a process of
linking in an aggregated system ¨ for example, a smart contracts circuit may
be structured to
operate in conjunction with a blockchain circuit as part of a loan processing
platform but
where the smart contracts circuit processes contracts without storing
information through the
blockchain circuit, however the two circuits could be linked through the smart
contracts
circuit linking financial entity information through a distributed ledger on
the blockchain
circuit. In certain embodiments, linking may be considered linking for some
purposes but not
for other purposes ¨ for example, linking goods and services for users and
radio frequency
linking between access points are different forms of linking, where the
linking of goods and
services for users links thinks together while an RF link is a communications
link between
transceivers. Additionally, in certain embodiments, otherwise similar looking
systems may
be differentiated in determining whether such system are linking, and/or which
type of
linking. For example, linking similar data together for analysis is different
from linking
similar data together for graphing. Accordingly, the benefits of the present
disclosure may be
applied in a wide variety of systems, and any such systems may be considered
linking herein,
while in certain embodiments a given system may not be considered a linking
herein. One of
skill in the art, having the benefit of the disclosure herein and knowledge
about a
contemplated system ordinarily available to that person, can readily determine
which aspects
of the present disclosure will benefit a particular system, and/or how to
combine processes
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and systems from the present disclosure to enhance operations of the
contemplated system.
Certain considerations for the person of skill in the art, in determining
whether a
contemplated system is linking and/or whether aspects of the present
disclosure can benefit or
enhance the contemplated system include, without limitation linking
marketplaces or external
marketplaces with a system or platform; linking data (e.g., data cluster
including links and
nodes); storage and retrieval of data linked to local processes; links (e.g.
with respect to
nodes) in a common knowledge graph; data linked to proximity or location
(e.g., of the
asset); linking to an environment (e.g., goods, services, assets, and the
like); linking events
(e.g., for storage such as in a blockchain, for communication or analysis);
linking ownership
or access rights; linking to access tokens (e.g., travel offerings linked to
access tokens); links
to one or more resources (e.g., secured by cryptographic or other techniques);
linking a
message to a smart contract; and the like.
[00226] The term indicator of interest (and similar terms) as utilized herein
should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, an indicator of interest includes any indicator of interest
including, without
limitation, an indicator of interest from a user or plurality of users or
parties related to a
transaction and the like (e.g., parties interested in participating in a loan
transaction), the
recording or storing of such an interest (e.g., a circuit for recording an
interest input from a
user, entity, circuit, system, and the like), a circuit analyzing interest
related data and setting
an indicator of interest (e.g., a circuit setting or communicating an
indicator based on inputs
to the circuit, such as from users, parties, entities, systems, circuits, and
the like), a model
trained to determine an indicator of interest from input data related to an
interest by one of a
plurality of inputs from users, parties, or financial entities, and the like.
Certain components
may not be considered indicators of interest individually, but may be
considered an indicator
of interest in an aggregated system ¨ for example, a party may seek
information relating to a
transaction such as though a translation marketplace where the party is
interested in seeking
information, but that may not be considered an indicator of interest in a
transaction.
However, when the party asserts a specific interest (e.g., through a user
interface with control
inputs for indicating interest) the party's interest may be recorded (e.g., in
a storage circuit, in
a blockchain circuit), analyzed (e.g., through an analysis circuit, a data
collection circuit),
monitored (e.g., through a monitoring circuit), and the like. In a non-
limiting example,
indicators of interest may be recorded (e.g., in a blockchain through a
distributed ledger)
from a set of parties with respect to the product, service, or the like, such
as ones that define
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parameters under which a party is willing to commit to purchase a product or
service. In
certain embodiments, an indicator of interest may be considered an indicator
of interest for
some purposes but not for other purposes ¨ for example, a user may indicate an
interest for a
loan transaction but that does not necessarily mean the user is indicating an
interest in
providing a type of collateral related to the loan transaction. For instance,
a data collection
circuit may record an indicator of interest for the transaction but may have a
separate circuit
structure for determining an indication of interest for collateral.
Additionally, in certain
embodiments, otherwise similar looking systems may be differentiated in
determining
whether such system are determining an indication of interest, and/or which
type of indicator
of interest exists. For example, one circuit or system may collect data from a
plurality of
parties to determine an indicator of interest in securing a loan and a second
circuit or system
may collect data from a plurality of parties to determine an indicator of
interest in a
determining ownership rights related to a loan. Accordingly, the benefits of
the present
disclosure may be applied in a wide variety of systems, and any such systems
may be
considered an indicator of interest herein, while in certain embodiments a
given system may
not be considered an indicator of interest herein. One of skill in the art,
having the benefit of
the disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is an indicator of interest
and/or whether
aspects of the present disclosure can benefit or enhance the contemplated
system include,
without limitation parties indicating an interest in participating in a
transaction (e.g., a loan
transaction), parties indicating an interest in securing in a product or
service, recording or
storing an indication of interest (e.g., through a storage circuit or
blockchain circuit),
analyzing an indication of interest (e.g., through a data collection and/or
monitoring circuit),
and the like.
[00227] The term accommodations (and similar terms) as utilized herein should
be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, an accommodation includes any service, activity, event, and the
like such as
including, without limitation, a room, group of rooms, table, seating,
building, event, shared
spaces offered by individuals (e.g., AirBnB spaces), bed-and-breakfasts,
workspaces,
conference rooms, convention spaces, fitness accommodations, health and
wellness
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accommodations, dining accommodations, and the like, in which someone may
live, stay, sit,
reside, participate, and the like. As such, an accommodation may be purchased
(e.g., a ticket
through a sports ticketing application), reserved or booked (e.g., a
reservation through a hotel
reservation application), provided as a reward or gift, traded or exchanged
(e.g., through a
marketplace), provided as an access right (e.g., offering by way of an
aggregation demand),
provided based on a contingency (e.g., a reservation for a room being
contingent on the
availability of a nearby event), and the like. Certain components may not be
considered an
accommodation individually but may be considered an accommodation in an
aggregated
system ¨ for example, a resource such as a room in a hotel may not in itself
be considered an
accommodation but a reservation for the room may be. For instance, a
blockchain and smart
contract platform for forward market rights for accommodations may provide a
mechanism to
provide access rights with respect to accommodations. In a non-limiting
example, a
blockchain circuit may be structured to store access rights in a forward
demand market,
where the access rights may be stored in a distributed ledger with related
shared access to a
plurality of actionable entities. In certain embodiments, an accommodation may
be
considered an accommodation for some purposes but not for other purposes ¨ for
example, a
reservation for a room may be an accommodation on its own, but may not be
accommodation
that is satisfied if a related contingency is not met as agreed upon at the
time of the e.g.
reservation. Additionally, in certain embodiments, otherwise similar looking
systems may be
differentiated in determining whether such systems are related to an
accommodation, and/or
which type of accommodation. For example, an accommodation offering may be
made based
on different systems, such as one where the accommodation offering is
determined by a
system collecting data related to forward demand and a second one where the
accommodation offering is provided as a reward based on a system processing a
performance
parameter. Accordingly, the benefits of the present disclosure may be applied
in a wide
variety of systems, and any such systems may be considered as related to an
accommodation
herein, while in certain embodiments a given system may not be considered
related to an
accommodation herein. One of skill in the art, having the benefit of the
disclosure herein and
knowledge about a contemplated system ordinarily available to that person, can
readily
determine which aspects of the present disclosure will benefit a particular
system, and/or how
to combine processes and systems from the present disclosure to enhance
operations of the
contemplated system. Certain considerations for the person of skill in the
art, in determining
whether a contemplated system is related to accommodation and/or whether
aspects of the
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present disclosure can benefit or enhance the contemplated system include,
without limitation
an accommodations provided as determined through a service circuit, trading or
exchanging
services (e.g., through an application and/or user interface), as an
accommodation offering
such as with respect to a combination of products, services, and access
rights, processed (e.g.,
aggregation demand for the offering in a forward market), accommodation
through booking
in advance, accommodation through booking in advance upon meeting a certain
condition
(e.g., relating to a price within a given time window), and the like.
[00228] The term contingencies (and similar terms) as utilized herein should
be understood
broadly. Without limitation to any other aspect or description of the present
disclosure, a
contingency includes any contingency including, without limitation, any action
that is
dependent upon a second action. For instance, a service may be provided as
contingent on a
certain parameter value, such as collecting data as condition upon an asset
tag indication from
an Internet of Things circuit. In another instance, an accommodation such as a
hotel
reservation may be contingent upon a concert (local to the hotel and at the
same time as the
reservation) proceeding as scheduled. Certain components may not be considered
as relating
to a contingency individually, but may be considered related to a contingency
in an
aggregated system ¨ for example, a data input collected from a data collection
service circuit
may be stored, analyzed, processed, and the like, and not be considered with
respect to a
contingency, however a smart contracts service circuit may apply a contract
term as being
contingent upon the collected data. For instance, the data may indicate a
collateral status
with respect to a loan transaction, and the smart contracts service circuit
may apply that data
to a term of contract that depends upon the collateral. In certain
embodiments, a contingency
may be considered contingency for some purposes but not for other purposes ¨
for example, a
delivery of contingent access rights for a future event may be contingent upon
a loan
condition being satisfied, but the loan condition on its own may not be
considered a
contingency in the absence of the contingency linkage between the condition
and the access
rights. Additionally, in certain embodiments, otherwise similar looking
systems may be
differentiated in determining whether such systems are related to a
contingency, and/or which
type of contingency. For example, two algorithms may both create a forward
market event
access right token, but where the first algorithm creates the token free of
contingencies and
the second algorithm creates a token with a contingency for delivery of the
token.
Accordingly, the benefits of the present disclosure may be applied in a wide
variety of
systems, and any such systems may be considered a contingency herein, while in
certain
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embodiments a given system may not be considered a contingency herein. One of
skill in the
art, having the benefit of the disclosure herein and knowledge about a
contemplated system
ordinarily available to that person, can readily determine which aspects of
the present
disclosure will benefit a particular system, and/or how to combine processes
and systems
from the present disclosure to enhance operations of the contemplated system.
Certain
considerations for the person of skill in the art, in determining whether a
contemplated
system is a contingency and/or whether aspects of the present disclosure can
benefit or
enhance the contemplated system include, without limitation a forward market
operated
within or by the platform may be a contingent forward market, such as one
where a future
right is vested, is triggered, or emerges based on the occurrence of an event,
satisfaction of a
condition, or the like; a blockchain used to make a contingent market in any
form of event or
access token by securely storing access rights on a distributed ledger;
setting and monitoring
pricing for contingent access rights, underlying access rights, tokens, fees
and the like;
optimizing offerings, timing, pricing, or the like, to recognize and predict
patterns, to
establish rules and contingencies; exchanging contingent access rights or
underlying access
rights or tokens access tokens and/or contingent access tokens; creating a
contingent forward
market event access right token where a token may be created and stored on a
blockchain for
contingent access right that could result in the ownership of a ticket;
discovery and delivery
of contingent access rights to future events; contingencies that influence or
represent future
demand for an offering, such as including a set of products, services, or the
like; pre-defined
contingencies; optimized offerings, timing, pricing, or the like, to recognize
and predict
patterns, to establish rules and contingencies; creation of a contingent
future offering within
the dashboard; contingent access rights that may result in the ownership of
the virtual good or
each smart contract to purchase the virtual good if and when it becomes
available under
defined conditions; and the like.
[00229] The term level of service (and similar terms) as utilized herein
should be understood
broadly. Without limitation to any other aspect or description of the present
disclosure, a
level of service includes any level of service including, without limitation,
any qualitative or
quantitative measure of the extent to which a service is provided, such as,
and without
limitation, a first class vs. business class service (e.g., travel reservation
or postal delivery),
the degree to which a resource is available (e.g., service level A indicating
that the resource is
highly available vs. service level C indicating that the resource is
constrained, such as in
terms of traffic flow restrictions on a roadway), the degree to which an
operational parameter
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is performing (e.g., a system is operating at a high state of service vs a low
state of service,
and the like. In embodiments, level of service may be multi-modal such that
the level of
service is variable where a system or circuit provides a service rating (e.g.,
where the service
rating is used as an input to an analytical circuit for determining an outcome
based on the
service rating). Certain components may not be considered relative to a level
of service
individually, but may be considered relative to a level of service in an
aggregated system ¨
for example a system for monitoring a traffic flow rate may provide data on a
current rate but
not indicate a level of service, but when the determined traffic flow rate is
provided to a
monitoring circuit the monitoring circuit may compare the determined traffic
flow rate to past
traffic flow rates and determine a level of service based on the comparison.
In certain
embodiments, a level of service may be considered a level of service for some
purposes but
not for other purposes ¨ for example, the availability of first class travel
accommodation may
be considered a level of service for determining whether a ticket will be
purchased but not to
project a future demand for the flight. Additionally, in certain embodiments,
otherwise
similar looking systems may be differentiated in determining whether such
system utilizes a
level of service, and/or which type of level of service. For example, an
artificial intelligence
circuit may be trained on past level of service with respect to traffic flow
patterns on a certain
freeway and used to predict future traffic flow patterns based on current flow
rates, but a
similar artificial intelligence circuit may predict future traffic flow
patterns based on the time
of day. Accordingly, the benefits of the present disclosure may be applied in
a wide variety
of systems, and any such systems may be considered with respect to levels of
service herein,
while in certain embodiments a given system may not be considered with respect
to levels of
service herein. One of skill in the art, having the benefit of the disclosure
herein and
knowledge about a contemplated system ordinarily available to that person, can
readily
determine which aspects of the present disclosure will benefit a particular
system, and/or how
to combine processes and systems from the present disclosure to enhance
operations of the
contemplated system. Certain considerations for the person of skill in the
art, in determining
whether a contemplated system is a level of service and/or whether aspects of
the present
disclosure can benefit or enhance the contemplated system include, without
limitation
transportation or accommodation offerings with predefined contingencies and
parameters
such as with respect to price, mode of service, and level of service; warranty
or guarantee
application, transportation marketplace, and the like.
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[00230] The term payment (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure, a
payment includes any payment including, without limitation, an action or
process of paying
(e.g., a payment to a loan) or of being paid (e.g., a payment from insurance),
an amount paid
or payable (e.g., a payment of S1000 being made), a repayment (e.g., to pay
back a loan), a
mode of payment (e.g., use of loyalty programs, rewards points, or particular
currencies,
including cryptocurrencies) and the like. Certain components may not be
considered
payments individually, but may be considered payments in an aggregated system
¨ for
example, submitting an amount of money may not be considered a payment as
such, but
when applied to a payment to satisfy the requirement of a loan may be
considered a payment
(or repayment). For instance, a data collection circuit may provide lenders a
mechanism to
monitor repayments of a loan. In a non-limiting example, the data collection
circuit may be
structured to monitor the payments of a plurality of loan components with
respect to a
financial loan contract configured to determine a loan condition for an asset.
In certain
embodiments, a payment may be considered a payment for some purposes but not
for other
purposes ¨ for example a payment to a financial entity may be for a repayment
amount to pay
back the loan, or it may be to satisfy a collateral obligation in a loan
default condition.
Additionally, in certain embodiments, otherwise similar looking systems may be
differentiated in determining whether such system are related to a payment,
and/or which
type of payment. For example, funds may be applied to reserve an accommodation
or to
satisfy the delivery of services after the accommodation has been satisfied.
Accordingly, the
benefits of the present disclosure may be applied in a wide variety of
systems, and any such
systems may be considered a payment herein, while in certain embodiments a
given system
may not be considered a payment herein. One of skill in the art, having the
benefit of the
disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is a payment and/or whether
aspects of the
present disclosure can benefit or enhance the contemplated system include,
without
limitation, deferring a required payment; deferring a payment requirement;
payment of a
loan; a payment amount; a payment schedule; a balloon payment schedule;
payment
performance and satisfaction; modes of payment; and the like.
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[00231] The term location (and similar terms) as utilized herein should be
understood
broadly. Without limitation to any other aspect or description of the present
disclosure, a
location includes any location including, without limitation, a particular
place or position of a
person, place, or item, or location information regarding the position of a
person, place, or
item, such as a geolocation (e.g., geolocation of a collateral), a storage
location (e.g., the
storage location of an asset), a location of a person (e.g., lender, borrower,
worker), location
information with respect to the same, and the like. Certain components may not
be
considered with respect to location individually, but may be considered with
respect to
location in an aggregated system ¨ for example, a smart contract circuit may
be structured to
specify a requirement for a collateral to be stored at a fixed location but
not specify the
specific location for a specific collateral. In certain embodiments, a
location may be
considered a location for some purposes but not for other purposes ¨ for
example, the address
location of a borrower may be required for processing a loan in one instance,
and a specific
location for processing a default condition in another instance. Additionally,
in certain
embodiments, otherwise similar looking systems may be differentiated in
determining
whether such system are a location, and/or which type of location. For
example, the location
of a music concert may be required to be in a concert hall seating 10,000
people in one
instance but specify the location of an actual concert hall in another.
Accordingly, the
benefits of the present disclosure may be applied in a wide variety of
systems, and any such
systems may be considered with respect to a location herein, while in certain
embodiments a
given system may not be considered with respect to a location herein. One of
skill in the art,
having the benefit of the disclosure herein and knowledge about a contemplated
system
ordinarily available to that person, can readily determine which aspects of
the present
disclosure will benefit a particular system, and/or how to combine processes
and systems
from the present disclosure to enhance operations of the contemplated system.
Certain
considerations for the person of skill in the art, in determining whether a
contemplated
system is considered with respect to a location and/or whether aspects of the
present
disclosure can benefit or enhance the contemplated system include, without
limitation a
geolocation of an item or collateral; a storage location of item or asset;
location information;
location of a lender or a borrower; location-based product or service
targeting application; a
location-based fraud detection application; indoor location monitoring systems
(e.g., cameras,
IR systems, motion-detection systems); locations of workers (including routes
taken through
a location); location parameters; event location; specific location of an
event; and the like.
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[00232] The term route (and similar terms) as utilized herein should be
understood broadly.
Without limitation to any other aspect or description of the present
disclosure, a route
includes any route including, without limitation, a way or course taken in
getting from a
starting point to a destination, to send or direct along a specified course,
and the like. Certain
components may not be considered with respect to a route individually, but may
be
considered a route in an aggregated system ¨ for example a mobile data
collector may specify
a requirement for a route for collecting data based on an input from a
monitoring circuit, but
only in receiving that input does the mobile data collector determine what
route to take and
begin traveling along the route. In certain embodiments, a route may be
considered a route
for some purposes but not for other purposes ¨ for example possible routes
through a road
system may be considered differently than specific routes taken through from
one location to
another location. Additionally, in certain embodiments, otherwise similar
looking systems
may be differentiated in determining whether such system are specified with
respect to a
location, and/or which types of locations. For example, routes depicted on a
map may
indicate possible routes or actual routes taken by individuals. Accordingly,
the benefits of the
present disclosure may be applied in a wide variety of systems, and any such
systems may be
considered with respect to a route herein, while in certain embodiments a
given system may
not be considered with respect to a route herein. One of skill in the art,
having the benefit of
the disclosure herein and knowledge about a contemplated system ordinarily
available to that
person, can readily determine which aspects of the present disclosure will
benefit a particular
system, and/or how to combine processes and systems from the present
disclosure to enhance
operations of the contemplated system. Certain considerations for the person
of skill in the
art, in determining whether a contemplated system is utilizing a route and/or
whether aspects
of the present disclosure can benefit or enhance the contemplated system
include, without
limitation delivery routes; routes taken through a location; heat map showing
routes traveled
by customers or workers within an environment; determining what resources are
deployed to
what routes or types of travel; direct route or multi-stop route, such as from
the destination of
the consumer to a specific location or to wherever an event takes place; a
route for a mobile
data collector; and the like.
[00233] The term future offering (and similar terms) as utilized herein should
be understood
broadly. Without limitation to any other aspect or description of the present
disclosure, a
future offing includes any offer of an item or service in the future
including, without
limitation, a future offer to provide an item or service, a future offer with
respect to a
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proposed purchase, a future offering made through a forward market platform, a
future
offering determined by a smart contract circuit, and the like. Further, a
future offering may
be a contingent future offer or an offer based on conditions resulting on the
offer being a
future offering, such as where the future offer is contingent upon or with the
conditions
imposed by a predetermined condition (e.g., a security may be purchased for
S1000 at a set
future date contingent upon a predetermine state of a market indicator).
Certain components
may not be considered a future offering individually, but may be considered a
future offering
in an aggregated system ¨ for example, an offer for a loan may not be
considered a future
offering if the offer is not authorized through a collective agreement amongst
a plurality of
parties related to the offer, but may be considered a future offer once a vote
has been
collected and stored through a distributed ledger, such as through a
blockchain circuit. In
certain embodiments, a future offering may be considered a future offering for
some purposes
but not for other purposes ¨ for example, a future offering may be contingent
upon a
condition being meet in the future, and so the future offering may not be
considered a future
offer until the condition is met. Additionally, in certain embodiments,
otherwise similar
looking systems may be differentiated in determining whether such system are
future
offerings, and/or which type of future offerings. For example, two security
offerings may be
determined to be offerings to be made at a future time, however, one may have
immediate
contingences to be met and thus may not be considered to be a future offering
but rather an
immediate offering with future declarations. Accordingly, the benefits of the
present
disclosure may be applied in a wide variety of systems, and any such systems
may be
considered in association with a future offering herein, while in certain
embodiments a given
system may not be considered in association with a future offering herein. One
of skill in the
art, having the benefit of the disclosure herein and knowledge about a
contemplated system
ordinarily available to that person, can readily determine which aspects of
the present
disclosure will benefit a particular system, and/or how to combine processes
and systems
from the present disclosure to enhance operations of the contemplated system.
Certain
considerations for the person of skill in the art, in determining whether a
contemplated
system is in association with a future offering and/or whether aspects of the
present
disclosure can benefit or enhance the contemplated system include, without
limitation a
forward offering, a contingent forward offering, a forward offing in a forward
market
platform (e.g., for creating a future offering or contingent future offering
associated with
identifying offering data from a platform-operated marketplace or external
marketplace); a
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future offering with respect to entering into a smart contract (e.g., by
executing an indication
of a commitment to purchase, attend, or otherwise consume a future offering),
and the like.
[00234] The term access right (and derivatives or variations) as utilized
herein may be
understood broadly to describe an entitlement to acquire or possess a
property, article, or
other thing of value. A contingent access right may be conditioned upon a
trigger or
condition being met before such an access right becomes entitled, vested or
otherwise
defensible. An access right or contingent access right may also serve specific
purposes or be
configured for different applications or contexts, such as, without
limitation, loan-related
actions or any service or offering. Without limitation, notices may be
required to be provided
to the owner of a property, article or item of value before such access rights
or contingent
access rights are exercised. Access rights and contingent access rights in
various forms may
be included where discussing a legal action, a delinquent or defaulted loan or
agreement, or
other circumstances where a lender may be seeking remedy, without limitation.
One of skill
in the art, having the benefit of the disclosure herein and knowledge
ordinarily available
about a contemplated system, can readily determine the value of such rights
implemented in
an embodiment. While specific examples of access rights and contingent access
rights are
described herein for purposes of illustration, any embodiment benefitting from
the disclosures
herein, and any considerations understood to one of skill in the art having
the benefit of the
disclosures herein, are specifically contemplated within the scope of the
present disclosure.
[00235] The term smart contract (and other forms or variations) as utilized
herein may be
understood broadly to describe a method, system, connected resource or wide
area network
offering one or more resources useful to assist or perform actions, tasks or
things by
embodiments disclosed herein. A smart contract may be a set of steps or a
process to
negotiate, administrate, restructure or implement an agreement or loan between
parties. A
smart contract may also be implemented as an application, website, FTP site,
server,
appliance or other connected component or Internet related system that renders
resources to
negotiate, administrate, restructure or implement an agreement or loan between
parties. A
smart contract may be a self contained system, or may be part of a larger
system or
component that may also be a smart contract. For example, a smart contract may
refer to a
loan or an agreement itself, conditions or terms, or may refer to a system to
implement such a
loan or agreement. In certain embodiments, a smart contract circuit or robotic
process
automation system may incorporate or be incorporated into automatic robotic
process
automation system to perform one or more purposes or tasks, whether part of a
loan or
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transaction process, or otherwise. One of skill in the art, having the benefit
of the disclosure
herein and knowledge ordinarily available about a contemplated system can
readily
determine the purposes and use of this term as it relates to a smart contract
in various forms,
embodiments and contexts disclosed herein.
[00236] The term allocation of reward (and variations) as utilized herein may
be understood
broadly to describe a thing or consideration allocated or provided as
consideration, or
provided for a purpose. The allocation of rewards can be of a financial type,
or non-financial
type, without limitation. A specific type of allocation of reward may also
serve a number of
different purposes or be configured for different applications or contexts,
such as, without
limitation: a reward event, claims for rewards, monetary rewards, rewards
captured as a data
set, rewards points, and other forms of rewards. Thus an allocation of rewards
may be
provided as a consideration within the context of a loan or agreement. Systems
may be
utilized to allocate rewards. The allocation of rewards in various forms may
be included
where discussing a particular behavior, or encouragement of a particular
behavior, without
limitation. An allocation of a reward may include an actual dispensation of
the award, and/or
a recordation of the reward. The allocation of rewards may be performed by a
smart contract
circuit or a robotic processing automation system. One of skill in the art,
having the benefit of
the disclosure herein and knowledge ordinarily available about a contemplated
system, can
readily determine the value of the allocation of rewards in an embodiment.
While specific
examples of the allocation of rewards are described herein for purposes of
illustration, any
embodiment benefitting from the disclosures herein, and any considerations
understood to
one of skill in the art having the benefit of the disclosures herein, are
specifically
contemplated within the scope of the present disclosure.
[00237] The term satisfaction of parameters or conditions (and other
derivatives, forms or
variations) as utilized herein may be understood broadly to describe
completion, presence or
proof of parameters or conditions that have been met. The term generally may
relate to a
process of determining such satisfaction of parameters or conditions, or may
relate to the
completion of such a process with a result, without limitation. Satisfaction
may result in a
successful outcome of other triggers or conditions or terms that may come into
execution,
without limitation. Satisfaction of parameters or conditions may occur in many
different
contexts of contracts or loans, such as lending, refinancing, consolidation,
factoring,
brokering, foreclosure, and data processing (e.g. data collection), or
combinations thereof,
without limitation. Satisfaction of parameters or conditions may be used in
the form of a
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noun (e.g. the satisfaction of the debt repayment), or may be used in a verb
form to describe
the process of determining a result to parameters or conditions. For example,
a borrower may
have satisfaction of parameters by making a certain number of payments on
time, or may
cause satisfaction of a condition allowing access rights to an owner if a loan
defaults, without
limitation. In certain embodiments, a smart contract or robotic process
automation system
may perform or determine satisfaction of parameters or conditions for one or
more of the
parties and process appropriate tasks for satisfaction of parameters or
conditions. In some
cases satisfaction of parameters or conditions by the smart contract or
robotic process
automation system may not complete or be successful, and depending upon such
outcomes,
this may enable automated action or trigger other conditions or terms. One of
skill in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
contemplated system can readily determine the purposes and use of this term in
various
forms, embodiments and contexts disclosed herein.
[00238] The term information (and other forms such as info or informational,
without
limitation) as utilized herein may be understood broadly in a variety of
contexts with respect
to an agreement or a loan. The term generally may relate to a large context,
such as
information regarding an agreement or loan, or may specifically relate to a
finite piece of
information (e.g. a specific detail of an event that happened on a specific
date). Thus,
information may occur in many different contexts of contracts or loans, and
may be used in
the contexts, without limitation of evidence, transactions, access, and the
like. Or, without
limitation, information may be used in conjunction with stages of an agreement
or
transaction, such as lending, refinancing, consolidation, factoring,
brokering, foreclosure, and
information processing (e.g. data or information collection), or combinations
thereof. For
example, information as evidence, transaction, access, etc. may be used in the
form of a noun
(e.g. the information was acquired from the borrower), or may refer as a noun
to an
assortment of informational items (e.g. the information about the loan may be
found in the
smart contract), or may be used in the form of characterizing as an adjective
(e.g. the
borrower was providing an information submission). For example, a lender may
collect an
overdue payment from a borrower through an online payment, or may have a
successful
collection of overdue payments acquired through a customer service telephone
call. In
certain embodiments, a smart contract circuit or robotic process automation
system may
perform collection, administration, calculating, providing, or other tasks for
one or more of
the parties and process appropriate tasks relating to information (e.g.
providing notice of an
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overdue payment). In some cases information by the smart contract circuit or
robotic
process automation system may be incomplete, and depending upon such outcomes
this may
enable automated action or trigger other conditions or terms. One of skill in
the art, having
the benefit of the disclosure herein and knowledge ordinarily available about
a contemplated
system can readily determine the purposes and use of information as evidence,
transaction,
access, etc. in various forms, embodiments and contexts disclosed herein.
[00239] Information may be linked to external information (e.g. external
sources). The term
more specifically may relate to the acquisition, parsing, receiving, or other
relation to an
external origin or source, without limitation. Thus, information linked to
external
information or sources may be used in conjunction with stages of an agreement
or
transaction, such as lending, refinancing, consolidation, factoring,
brokering, foreclosure, and
information processing (e.g. data or information collection), or combinations
thereof. For
example, information linked to external information may change as the external
information
changes, such as a borrower's credit score, which is based on an external
source. In certain
embodiments, a smart contract circuit or robotic process automation system may
perform
acquisition, administration, calculating, receiving, updating, providing or
other tasks for one
or more of the parties and process appropriate tasks relating to information
that is linked to
external information. In some cases information that is linked to external
information by the
smart contract or robotic process automation system may be incomplete, and
depending upon
such outcomes this may enable automated action or trigger other conditions or
terms. One of
skill in the art, having the benefit of the disclosure herein and knowledge
ordinarily available
about a contemplated system can readily determine the purposes and use of this
term in
various forms, embodiments and contexts disclosed herein.
[00240] Information that is a part of a loan or agreement may be separated
from information
presented in an access location. The term more specifically may relate to the
characterization
that information can be apportioned, split, restricted, or otherwise separated
from other
information within the context of a loan or agreement. Thus, information
presented or
received on an access location may not necessarily be the whole information
available for a
given context. For example, information provided to a borrower may be
different information
received by a lender from an external source, and may be different than
information received
or presented from an access location. In certain embodiments, a smart contract
circuit or
robotic process automation system may perform separation of information or
other tasks for
one or more of the parties and process appropriate tasks. One of skill in the
art, having the
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benefit of the disclosure herein and knowledge ordinarily available about a
contemplated
system, can readily determine the purposes and use of this term in various
forms,
embodiments and contexts disclosed herein.
[00241] The term encryption of information and control of access (and other
related terms)
as utilized herein may be understood broadly to describe generally whether a
party or parties
may observe or possess certain information, actions, events or activities
relating to a
transaction or loan. Encryption of information may be utilized to prevent a
party from
accessing, observing or receiving information, or may alternatively be used to
prevent parties
outside the transaction or loan from being able to access, observe or receive
confidential (or
other) information. Control of access to information relates to the
determination of whether a
party is entitled to such access of information. Encryption of information or
control of access
may occur in many different contexts of loans, such as lending, refinancing,
consolidation,
factoring, brokering, foreclosure, administration, negotiating, collecting,
procuring,
enforcing, and data processing (e.g. data collection), or combinations
thereof, without
limitation. An encryption of information or control of access to information
may refer to a
single instance, or may characterize a larger amount of information, actions,
events or
activities, without limitation. For example, a borrower or lender may have
access to
information about a loan, but other parties outside the loan or agreement may
not be able to
access the loan information due to encryption of the information, or a control
of access to the
loan details. In certain embodiments, a smart contract circuit or robotic
process automation
system may perform encryption of information or control of access to
information for one or
more of the parties and process appropriate tasks for encryption or control of
access of
information. One of skill in the art, having the benefit of the disclosure
herein and knowledge
ordinarily available about a contemplated system can readily determine the
purposes and use
of this term in various forms, embodiments and contexts disclosed herein.
[00242] The term potential access party list (and other related terms) as
utilized herein may
be understood broadly to describe generally whether a party or parties may
observe or
possess certain information, actions, events or activities relating to a
transaction or loan. A
potential access party list may be utilized to authorize one or more parties
to access, observe
or receive information, or may alternatively be used to prevent parties from
being able to do
so. A potential access party list information relates to the determination of
whether a party
(either on the potential access party list or not on the list) is entitled to
such access of
information. A potential access party list may occur in many different
contexts of loans, such
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as lending, refinancing, consolidation, factoring, brokering, foreclosure,
administration,
negotiating, collecting, procuring, enforcing and data processing (e.g. data
collection), or
combinations thereof, without limitation. A potential access party list may
refer to a single
instance, or may characterize a larger amount of parties or information,
actions, events or
activities, without limitation. For example, a potential access party list may
grant (or deny)
access to information about a loan, but other parties outside potential access
party list may
not be able to (or may be granted) access the loan information. In certain
embodiments, a
smart contract circuit or robotic process automation system may perform
administration or
enforcement of a potential access party list for one or more of the parties
and process
appropriate tasks for encryption or control of access of information. One of
skill in the art,
having the benefit of the disclosure herein and knowledge ordinarily available
about a
contemplated system can readily determine the purposes and use of this term in
various
forms, embodiments and contexts disclosed herein.
[00243] The term offering, making an offer, and similar terms as utilized
herein should be
understood broadly. Without limitation to any other aspect or description of
the present
disclosure, an offering includes any offer of an item or service including,
without limitation,
an insurance offering, a security offering, an offer to provide an item or
service, an offer with
respect to a proposed purchase, an offering made through a forward market
platform, a future
offering, a contingent offering, offers related to lending (e.g. lending,
refinancing, collection,
consolidation, factoring, brokering, foreclosure), an offering determined by a
smart contract
circuit, an offer directed to a customer/debtor, an offering directed to a
provider/lender, a 3rd
party offer (e.g. regulator, auditor, partial owner, tiered provider) and the
like. Offerings may
include physical goods, virtual goods, software, physical services, access
rights,
entertainment content, accommodations, or many other items, services,
solutions, or
considerations. In an example, a third party offer may be to schedule a band
instead of just an
offer of tickets for sale. Further, an offer may be based on pre-determined
conditions or
contingencies. Certain components may not be considered an offering
individually, but may
be considered an offering in an aggregated system ¨ for example, an offer for
insurance may
not be considered an offering if the offer is not approved by one or more
parties related to the
offer, however once approval has been granted, it may be considered an offer.
Accordingly,
the benefits of the present disclosure may be applied in a wide variety of
systems, and any
such systems may be considered in association with an offering herein, while
in certain
embodiments a given system may not be considered in association with an
offering herein.
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One of skill in the art, having the benefit of the disclosure herein and
knowledge about a
contemplated system ordinarily available to that person, can readily determine
which aspects
of the present disclosure will benefit a particular system, and/or how to
combine processes
and systems from the present disclosure to enhance operations of the
contemplated system.
Certain considerations for the person of skill in the art, in determining
whether a
contemplated system is in association with an offering and/or whether aspects
of the present
disclosure can benefit or enhance the contemplated system include, without
limitation the
item or service being offered, a contingency related to the offer, a way of
tracking if a
contingency or condition has been met, an approval of the offering, an
execution of an
exchange of consideration for the offering, and the like.
[00244] Referring to Fig. 1, an embodiment of a financial, transactional and
marketplace
enablement system is illustrated wherein a lending enablement platform 100 is
enabled and
wherein a platform-oriented marketplace 132 may comprise a lending application
144. The
lending enablement platform 100 may include a set of systems, applications,
processes,
modules, services, layers, devices, components, machines, products, sub-
systems, interfaces,
connections, and other elements (collectively referred in the alternative,
except where context
indicates otherwise, as the "platform," the "lending platform," the "system,"
and the like)
working in coordination (such as by data integration and organization in a
services oriented
architecture) to enable intelligent management of a set of entities 198 that
may occur, operate,
transact or the like within, or own, operate, support or enable, one or more
applications,
services, solutions, programs or the like of the lending application 144 or
external
marketplaces 188 that involve lending transactions or lending-related
entities, or that may
otherwise be part of, integrated with, linked to, or operated on by the
lending enablement
platform 100. References to a set of services herein should be understood,
except where
context indicates otherwise, these and other various systems, applications,
processes,
modules, services, layers, devices, components, machines, products, sub-
systems, interfaces,
connections, and other types of elements. A set may include multiple members
or a single
member. As with other embodiments, the lending enablement platform 100 may
have
various data handling layers, with components, modules, systems, services,
components,
functions and other elements described in connection with other embodiments
described
throughout this disclosure and the documents incorporated herein by reference.
This may
include various adaptive intelligent systems 158, monitoring systems 164, data
collection
systems 166, and data storage systems 186, as well as a set of interfaces 187
of, to, and/or
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among each of those systems and/or the various other elements of the lending
enablement
platform 100. In embodiments the interfaces 187 may include application
programming
interfaces 112; data integration technologies for extracting, transforming,
cleansing,
normalizing, deduplicating, loading and the like as data is moved among
various services
using various protocols and formats (collectively referred to as ETL systems
114); and
various ports, portals, connectors, gateways, wired connections, sockets,
virtual private
networks, containers, secure channels and other connections configured among
elements on a
one-to-one, one-to-many, or many-to-one basis, such as in unicast, broadcast
and multi-cast
transmission (collectively referred to as ports 118). Interfaces 187 may
include, be enabled
by, integrate with, or interface with a real time operating system (RTOS) 110,
such as the
FreeRTOSTm operating system, that has a deterministic execution pattern in
which a user may
define an execution pattern, such as based on assignment of a priority to each
thread of
execution. An instance of the RTOS 110 may be embedded, such as on a
microcontroller of
an Internet of Things device, such as one used to monitor various entities
198. The RTOS
110 may provide real-time scheduling (such as scheduling of data transmissions
to
monitoring systems 164 and data collection systems 166, scheduling of inter-
task
communication among various service elements, and other timing and
synchronization
elements). In embodiments the interfaces 187 may use or include a set of
libraries that enable
secure connection between small, low-power edge devices, such as Internet of
Things devices
used to monitor various entities 198, and various cloud-deployed services of
the lending
enablement platform 100, as well as a set of edge devices and the systems that
enable them,
such as ones running local data processing and computing systems such as AWS
IoT
GreengrassTM and/or AWS LambdaTM functions, such as to allow local
calculation,
configuration of data communication, execution of machine learning models
(such as for
prediction or classification), synchronization of devices or device data, and
communication
among devices and services. This may include use of local device resources
such as serial
ports, GPUs, sensors and cameras. In embodiments, data may be encrypted for
secure end-
to-end communication.
[00245] In the context of a lending enablement platform 100 and set of lending
application
144, various entities 198 may include any of the wide variety of assets,
systems, devices,
machines, facilities, individuals or other entities mentioned throughout this
disclosure or in
the documents incorporated herein by reference, such as, without limitation:
machines 197
and their components (e.g., machines that are the subject of a loan or
collateral for a loan,
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such as various vehicles and equipment, as well as machines used to conduct
lending
transactions, such as automated teller machines, point of sale machines,
vending machines,
kiosks, smart-card-enabled machines, and many others, including ones used to
enable
microloans, payday loans and others); financial and transactional processes
196 (such as
lending processes, inspection processes, collateral tracking processes,
valuation processes,
credit checking processes, creditworthiness processes, syndication processes,
interest rate-
setting processes, software processes (including applications, programs,
services, and others),
production processes, collection processes, banking processes (e.g., lending
processes,
underwriting processes, investing processes, and many others), financial
service processes,
diagnostic processes, security processes, safety processes, assessment
processes, payment
processes, valuation processes, issuance processes, factoring processes,
consolidation
processes, syndication processes, collection processes, foreclosure processes,
title transfer
processes, title verification processes, collateral monitoring processes, and
many others);
wearable and portable devices 195 (such as mobile phones, tablets, dedicated
portable
devices for financial applications, data collectors (including mobile data
collectors), sensor-
based devices, watches, glasses, hearables, head-worn devices, clothing-
integrated devices,
arm bands, bracelets, neck-worn devices, AR/VR devices, headphones, and many
others);
workers 194 (such as banking workers, loan officers, financial service
personnel, managers,
inspectors, brokers (e.g., mortgage brokers), attorneys, underwriters,
regulators, assessors,
appraisers, process supervisors, security personnel, safety personnel and many
others);
robotic systems 192 (e.g., physical robots, collaborative robots (e.g.,
"cobots"), software bots
and others); and facilities 190 (such as banking facilities, inventory
warehousing facilities,
factories, homes, buildings, storage facilities (such as for loan-related
collateral, property that
is the subject of a loan, inventory (such as related to loans on inventory),
personal property,
components, packaging materials, goods, products, machinery, equipment, and
other items),
banking facilities (such as for commercial banking, investing, consumer
banking, lending and
many other banking activities) and others. In embodiments, various entities
198 may include
external marketplaces 188, such as financial, commodities, e-commerce,
advertising, and
other external marketplaces 188 (including current and futures markets), such
as ones within
which transactions occur in various goods and services, such that monitoring
of the external
marketplaces 188 and various entities 198 within them may provide lending-
relevant
information, such as with respect to the price or value of items, the
liquidity of items, the
characteristics of items, the rate of depreciation of items, or the like. For
example, for
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various entities that may comprise collateral 102 or assets for asset-backed
lending, a
monitoring system 164 may monitor not only the collateral 102 or assets, such
as by cameras,
sensors, or other monitoring systems 164, but may also collect data, such as
via data
collection systems 166 of various types, with respect to the value, price, or
other condition of
the collateral 102 or assets, such as by determining market conditions for
collateral 102 or
assets that are in similar condition, of similar age, having similar
specifications, having
similar location, or the like. In embodiments, an adaptive intelligent system
158 may include
a clustering circuit 104, such as one that groups or clusters various entities
198, including
collateral 102, parties, assets, or the like by similarity of attributes, such
as a k-means
clustering system, self-organizing map system, or other system as described
herein and in the
documents incorporated herein by reference. The clustering system may organize
collections
of collateral, collections of assets, collections of parties, and collections
of loans, for
example, such that they may be monitored and analyzed based on common
attributes, such as
to enable performance of a subset of transactions to be used to predict
performance of others,
which in turn may be used for underwriting 122, pricing 131, fraud prevention
applications
139, or other applications, including any of the services, solutions, or
applications described
in connection with Fig. 1 and Fig. 2 or elsewhere throughout this disclosure
or the documents
incorporated herein by reference. In embodiments condition information about
collateral 102
or assets is continuously monitored by a monitoring system 164, such as a set
of sensors on
the collateral 102 or assets, a set of sensors or cameras in the environment
of the collateral
102 or assets, or the like, and market information is collected in real time
by a data collection
system 166, such that the condition and market information may be time-aligned
and used as
a basis for real time estimation of the value of the collateral or assets and
forward prediction
of the future value of the collateral or assets. Present and predicted value
for the collateral
102 or assets may be based on a model, which may be accessed and used, such as
in a smart
contract, to enable automated, or machine-assisted lending on the collateral
or assets, such as
the underwriting or offering of a microloan on the collateral 102 or assets.
Aggregation of
data for a set of collateral 102 or set of assets, such as a collection or
fleet of collateral 102 or
fleet of assets owned by an entity 198 may allow real time portfolio valuation
and larger scale
lending, including via smart contracts that automatically adjust interest
rates and other terms
and conditions based on the individual or aggregated value of collateral 102
or assets based
on real time condition monitoring and real-time market data collection and
integration.
Transactions, party information, transfers of title, changes in terms and
conditions, and other
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information may be stored in a blockchain 136, including loan transactions and
information
(such as condition information for collateral 102 or assets and marketplace
data) about the
collateral 102 or assets. The smart contract may be configured to require a
party to confirm
condition information and/or market value information, such as by
representations and
warranties that are supported or verified by the monitoring systems 164 (which
may flag
fraud in a fraud prevention application 139). A lending model 108 may be used
to value
collateral 102 or assets, to determine eligibility for lending based on the
condition and/or
value of collateral 102 or assets, to set pricing (e.g., interest rates), to
adjust terms and
conditions, and the like. The lending model 108 may be created by a set of
experts, such as
using calculated analytics 130 on past lending transactions. The lending model
108 may be
populated by data from monitoring systems 164 and data collection systems 166,
may pull
data from data storage systems 186, and the like. The lending model 108 may be
used to
configure parameters of a smart contract, such that smart contract terms and
conditions
automatically adjust based on adjustments in the lending model 108. The
lending model 108
may be configured to be improved by artificial intelligence 156, such as by
training it on a set
of outcomes, such as outcomes from lending transactions (e.g., payment
outcomes, default
outcomes, performance outcomes, and the like), outcomes on collateral 102 or
assets (such as
prices or value patterns of collateral or assets over time), outcomes on
entities (such as
defaults, foreclosures, performance results, on time payments, late payments,
bankruptcies,
and the like), and others. Training may be used to adjust and improve model
parameters and
performance, including for classification of collateral or assets (such as
automatic
classification of type and/or condition, such as using vision-based
classification from camera-
based monitoring systems 164), prediction of value of collateral 102 or
assets, prediction of
defaults, prediction of performance, and the like. In embodiments,
configuration or handling
of smart contracts for lending on collateral 102 or assets may be learned and
automated in a
robotic process automation (RPA) system 154, such as by training the RPA
system 154 to
create smart contracts, configure parameters of smart contracts, confirm title
to collateral 102
or assets, set terms and conditions of smart contracts, initiate security
interests on collateral
102 for smart contracts, monitor status or performance of smart contracts,
terminate or
initiate termination for default of smart contracts, close smart contracts,
foreclose on
collateral 102 or assets, transfer title, or the like, such as by using
monitoring systems 164 to
monitor expert entities 198, such as human managers, as they undertake a
training set of
similar tasks and actions in the creation, configuration, title confirmation,
initiation of
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security interests, monitoring, termination, closing, foreclosing, and the
like for a training set
of smart contracts. Once an RPA system 154 is trained, it may efficiently
create the ability to
provide lending at scale across a wide range of entities and assets that may
serve as collateral
102, that may provide guarantees or security, or the like, thereby making
loans more readily
available for a wider range of situations, entities 198, and collateral 102.
The RPA system
154 may itself be improved by artificial intelligence 156, such as by
continuously adjusting
model parameters, weights, configurations, or the like based on outcomes, such
as loan
performance outcomes, collateral valuation outcomes, default outcomes, closing
rate
outcomes, interest rate outcomes, yield outcomes, return-on-investment
outcomes, or others.
Smart contracts may include or be used for direct lending, syndicated lending,
and secondary
lending contracts, individual loans or aggregated tranches of loans, and the
like.
[00246] In embodiments, the lending application 144 of the management
application
platform 128 may, in various optional embodiments, include, integrate with, or
interact with
(such as within other embodiments of the lending enablement platform) a set of
applications
TXX112, such as ones by which a lender, a borrower, a guarantor, an operator
or owner of a
transactional or financial entity, or other user, may manage, monitor,
control, analyze, or
otherwise interact with one or more elements related to a loan, such as an
entity 198 that is a
party to a loan, the subject of a loan, the collateral for a loan, or
otherwise relevant to the
loan. This may include any of the elements noted above in connection with Fig.
TXX1. The
set of applications TXX112 may include a lending application 144 (such as,
without
limitation, for personal lending, commercial lending, collateralized lending,
microlending,
peer-to-peer lending, insurance-related lending, asset-backed lending, secured
debt lending,
corporate debt lending, student loans, subsidized loans, mortgage lending,
municipal lending,
sovereign debt, automotive lending, pay day loans, loans against receivables,
factoring
transactions, loans against guaranteed or assured payments (such as tax
refunds, annuities,
and the like), and many others). The lending application 144 may include,
integrate with, or
link with one or more of any of a wide range of other types of applications
that may be
relevant to lending, such as an investment application (such as, without
limitation, for
investment in tranches of loans, corporate debt, bonds, syndicated loans,
municipal debt,
sovereign debt, or other types of debt-related securities); an asset
management application
(such as, without limitation, for managing assets that may be the subject of a
loan, the
collateral for a loan, assets that back a loan, the collateral for a loan
guarantee, or evidence of
creditworthiness, assets related to a bond, investment assets, real property,
fixtures, personal
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property, real estate, equipment, intellectual property, vehicles, and other
assets); a risk
management solution 124 (such as, without limitation, for managing risk or
liability with
respect to subject of a loan, a party to a loan, or an activity relevant to
the performance of a
loan, such as a product, an asset, a person, a home, a vehicle, an item of
equipment, a
component, an information technology system, a security system, a security
event, a
cybersecurity system, an item of property, a health condition, mortality,
fire, flood, weather,
disability, business interruption, injury, damage to property, damage to a
business, breach of
a contract, and others); a marketing application TXX212 (such as, without
limitation, an
application for marketing a loan or a tranche of loans, a customer
relationship management
application for lending, a search engine optimization application for
attracting relevant
parties, a sales management application, an advertising network application, a
behavioral
tracking application, a marketing analytics application, a location-based
product or service
targeting application, a collaborative filtering application, a recommendation
engine for loan-
related product or service, and others); a trading application TXX228 (such
as, without
limitation, an application for trading a loan, a tranche of loans, a portion
of a loan, a loan-
related interest, or the like, such as a buying application, a selling
application, a bidding
application, an auction application, a reverse auction application, a bid/ask
matching
application, or others); a tax application 262 (such as, without limitation,
for managing,
calculating, reporting, optimizing, or otherwise handling data, events,
workflows, or other
factors relating to a tax-related impact of a loan); a fraud prevention
application 139 (such as,
without limitation, one or more of an identity verification application, a
biometric identity
validation application, a transactional pattern-based fraud detection
application, a location-
based fraud detection application, a user behavior-based fraud detection
application, a
network address-based fraud detection application, a black list application, a
white list
application, a content inspection-based fraud detection application, or other
fraud detection
application; a security application, solution or service 148 (referred to
herein as a security
application, such as, without limitation, any of the fraud prevention
applications 139 noted
above, as well as a physical security system (such as for an access control
system (such as
using biometric access controls, fingerprinting, retinal scanning, passwords,
and other access
controls), a safe, a vault, a cage, a safe room, or the like), a monitoring
system (such as using
cameras, motion sensors, infrared sensors and other sensors), a cyber security
system (such as
for virus detection and remediation, intrusion detection and remediation, spam
detection and
remediation, phishing detection and remediation, social engineering detection
and
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remediation, cyberattack detection and remediation, packet inspection, traffic
inspection,
DNS attack remediation and detection, and others) or other security
application); an
underwriting application 122 (such as, without limitation, for underwriting
any loan,
guarantee, or other loan-related transaction or obligation, including any
application for
detecting, characterizing or predicting the likelihood and/or scope of a risk,
including
underwriting based on any of the data sources, events or entities noted
throughout this
disclosure or the documents incorporated herein by reference); a blockchain
application for
storing information as a blockchain 136 (such as, without limitation, a
distributed ledger
capturing a series of transactions, such as debits or credits, purchases or
sales, exchanges of
in kind consideration, smart contract events, or the like, a cryptocurrency
application, or other
blockchain-based application); a real estate application (such as, without
limitation, a real
estate brokerage application, a real estate valuation application, a real
estate mortgage or
lending application, a real estate assessment application, or other); a
regulatory and/or
compliance solution 142 (such as, without limitation, an application for
regulating the terms
and conditions of a loan, such as the permitted parties, the permitted
collateral, the permitted
terms for repayment, the permitted interest rates, the required disclosures,
the required
underwriting process, conditions for syndication, and many others); a platform-
oriented
marketplace 130 such as marketplace application, solution or service (referred
to as a
marketplace application, such as, without limitation, a loan syndication
marketplace, a
blockchain-based marketplace, a cryptocurrency marketplace, a token-based
marketplace, a
marketplace for items used as collateral, or other marketplace); a warranty or
guarantee
application TXX217 (such as, without limitation, an application for a warranty
or guarantee
with respect to an item that is the subject of a loan, collateral for a loan,
or the like, such as a
product, a service, an offering, a solution, a physical product, software, a
level of service,
quality of service, a financial instrument, a debt, an item of collateral,
performance of a
service, or other item); an analyst application 130 (such as, without
limitation, an analytic
application with respect to any of the data types, applications, events,
workflows, or entities
mentioned throughout this disclosure or the documents incorporated by
reference herein, such
as a big data application, a user behavior application, a prediction
application, a classification
application, a dashboard, a pattern recognition application, an econometric
application, a
financial yield application, a return on investment application, a scenario
planning
application, a decision support application, and many others); a pricing
application 131 (such
as, without limitation, for pricing of interest rates and other terms and
conditions for a loan).
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Thus, the management application platform 128 may host and enable interaction
among a
wide range of disparate applications 112 (such term including the above-
referenced and other
financial or transactional applications, services, solutions, and the like),
such that by virtue of
shared microservices, shared data infrastructure, and shared intelligence, any
pair or larger
combination or permutation of such services may be improved relative to an
isolated
application of the same type.
[00247] In embodiments the data collection systems 166 and the monitoring
systems 164
may monitor one or more events related to a loan, debt, bond, factoring
agreement, or other
lending transaction, such as events related to requesting a loan, offering a
loan, accepting a
loan, providing underwriting information for a loan, providing a credit
report, deferring a
required payment, setting an interest rate for a loan, deferring a payment
requirement,
identifying collateral or assets for a loan, validating title for collateral
or security for a loan,
recording a change in title of property, assessing the value of collateral or
security for a loan,
inspecting property that is involved in a loan, a change in condition of an
entity relevant to a
loan, a change in value of an entity that is relevant to a loan, a change in
job status of a
borrower, a change in financial rating of a lender, a change in financial
value of an item
offered as a security, providing insurance for a loan, providing evidence of
insurance for
property related to a loan, providing evidence of eligibility for a loan,
identifying security for
a loan, underwriting a loan, making a payment on a loan, defaulting on a loan,
calling a loan,
closing a loan, setting terms and conditions for a loan, foreclosing on
property subject to a
loan, and modifying terms and conditions for a loan.
Microservices Lending Platform with Data Collection Services, Blockchain and
Smart
Contracts
[00248] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
lending. In embodiments, the platform or system includes a set of
microservices having a set
of application programming interfaces that facilitate connection among the
microservices and
to the microservices by programs that are external to the platform, wherein
the microservices
include (a) a multi-modal set of data collection services that collect
information about and
monitor entities related to a lending transaction; (b) a set of blockchain
services for
maintaining a secure historical ledger of events related to a loan, the
blockchain services
having access control features that govern access by a set of parties involved
in a loan; (c) a
set of application programming interfaces, data integration services, data
processing
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workflows and user interfaces for handling loan-related events and loan-
related activities; and
(d) a set of smart contract services for specifying terms and conditions of
smart contracts that
govern at least one of loan terms and conditions, loan-related events and loan-
related
activities.
[00249] In embodiments the entities relevant to lending include a set of
entities among
lenders, borrowers, guarantors, equipment, goods, systems, fixtures,
buildings, storage
facilities, and items of collateral.
[00250] In embodiments collateral items are monitored and the collateral items
are selected
from among a vehicle, a ship, a plane, a building, a home, real estate
property, undeveloped
land, a farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a
security, a currency, a token of value, a ticket, a cryptocurrency, a
consumable item, an edible
item, a beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual
property, an intellectual property right, a contractual right, an antique, a
fixture, an item of
furniture, an item of equipment, a tool, an item of machinery, and an item of
personal
property.
[00251] In embodiments the multi-modal set of data collection services include
services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[00252] In embodiments the events related to a loan are selected from
requesting a loan,
offering a loan, accepting a loan, providing underwriting information for a
loan, providing a
credit report, deferring a required payment, setting an interest rate for a
loan, deferring a
payment requirement, identifying collateral for a loan, validating title for
collateral or
security for a loan, recording a change in title of property, assessing the
value of collateral or
security for a loan, inspecting property that is involved in a loan, a change
in condition of an
entity relevant to a loan, a change in value of an entity that is relevant to
a loan, a change in
job status of a borrower, a change in financial rating of a lender, a change
in financial value
of an item offered as a security, providing insurance for a loan, providing
evidence of
insurance for property related to a loan, providing evidence of eligibility
for a loan,
identifying security for a loan, underwriting a loan, making a payment on a
loan, defaulting
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on a loan, calling a loan, closing a loan, setting terms and conditions for a
loan, foreclosing
on property subject to a loan, and modifying terms and conditions for a loan.
[00253] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[00254] In embodiments a set of parties to the loan is selected from among a
primary lender,
a secondary lender, a lending syndicate, a corporate lender, a government
lender, a bank
lender, a secured lender, bond issuer, a bond purchaser, an unsecured lender,
a guarantor, a
provider of security, a borrower, a debtor, an underwriter, an inspector, an
assessor, an
auditor, a valuation professional, a government official, and an accountant.
[00255] In embodiments loan-related activities include activities selected
from the set of
finding parties interested in participating in a loan transaction, an
application for a loan,
underwriting a loan, forming a legal contract for a loan, monitoring
performance of a loan,
making payments on a loan, restructuring or amending a loan, settling a loan,
monitoring
collateral for a loan, forming a syndicate for a loan, foreclosing on a loan,
and closing a loan
transaction.
[00256] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[00257] In embodiments smart contract services configure at least one smart
contract to
automatically undertake a loan-related action based on based on information
collected by the
multi-modal set of data collection services.
[00258] In embodiments the loan-related action is selected from among offering
a loan,
accepting a loan, underwriting a loan, setting an interest rate for a loan,
deferring a payment
requirement, modifying an interest rate for a loan, validating title for
collateral, recording a
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change in title, assessing the value of collateral, initiating inspection of
collateral, calling a
loan, closing a loan, setting terms and conditions for a loan, providing
notices required to be
provided to a borrower, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan.
[00259] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of
items of collateral and undertakes an action related to a loan to which the
collateral is subject.
[00260] In embodiments the loan-related action is selected from among offering
a loan,
accepting a loan, underwriting a loan, setting an interest rate for a loan,
deferring a payment
requirement, modifying an interest rate for a loan, validating title for
collateral, recording a
change in title, assessing the value of collateral, initiating inspection of
collateral, calling a
loan, closing a loan, setting terms and conditions for a loan, providing
notices required to be
provided to a borrower, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan.
[00261] Referring to Fig. LPX2, additional applications, solutions, programs,
systems,
services and the like that may be present in a lending application 144 are
depicted, which
may be interchangeably included in the management application platform 128
with other
elements noted in connection with Fig. 1 and elsewhere throughout this
disclosure and the
documents incorporated herein by reference. Also depicted are additional
entities 198, which
should be understood to be interchangeable with the other entities 198
described in
connection with various embodiments described herein. In addition to elements
already noted
above, the lending application 144 may include a set of applications,
solutions, programs,
systems, services and the like that include one or more of a social network
analytics
application 204 that may find and analyze information about various entities
198 as depicted
in one or more social networks (such as, without limitation, information about
parties,
behavior of parties, conditions of assets, events relating to parties or
assets, conditions of
facilities, location of collateral 102 or assets, and the like), such as by
allowing a user to
configure queries that may be initiated and managed across a set of social
network sites using
data collection systems 166 and monitoring systems 164; a loan management
solution 149
(such as for managing or responding to one or more events related to a loan
(such events
including, among others, requests for a loan, offering a loan, accepting a
loan, providing
underwriting information for a loan, providing a credit report, deferring a
required payment,
setting an interest rate for a loan, deferring a payment requirement,
identifying collateral for
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a loan, validating title for collateral or security for a loan, recording a
change in title of
property, assessing the value of collateral or security for a loan, inspecting
property that is
involved in a loan, a change in condition of an entity relevant to a loan, a
change in value of
an entity that is relevant to a loan, a change in job status of a borrower, a
change in financial
rating of a lender, a change in financial value of an item offered as a
security, providing
insurance for a loan, providing evidence of insurance for property related to
a loan, providing
evidence of eligibility for a loan, identifying security for a loan,
underwriting a loan, making
a payment on a loan, defaulting on a loan, calling a loan, closing a loan,
setting terms and
conditions for a loan, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan) for setting terms and conditions for a loan (such as a
principal amount
of debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default), or managing loan-related activities (such as, without
limitation,
finding parties interested in participating in a loan transaction, handling an
application for a
loan, underwriting a loan, forming a legal contract for a loan, monitoring
performance of a
loan, making payments on a loan, restructuring or amending a loan, settling a
loan,
monitoring collateral for a loan, forming a syndicate for a loan, foreclosing
on a loan,
collecting on a loan, consolidating a set of loans, analyzing performance of a
loan, handling a
default of a loan, transferring title of assets or collateral, and closing a
loan transaction)); a
rating solution 2101 (such as for rating an entity 198 (such as a party
LPX210, collateral 102,
asset 218 or the like), such as involving rating of creditworthiness,
financial health, physical
condition, status, value, presence or absence of defects, quality, or other
attribute); regulatory
and/or compliance solution 142 (such as for enabling specification,
application and/or
monitoring of one or more policies, rules, regulations, procedures, protocols,
processes, or the
like, such as ones that relate to terms and conditions of loan transactions,
steps required in
forming lending transactions, steps required in performing lending
transactions, steps
required with respect to security or collateral, steps required for
underwriting, steps required
for setting prices, interest rates, or the like, steps required to provide
required legal
disclosures and notices (e.g., presenting annualized percentage rates) and
others); a custodial
solution or set of custodial solution 1802 (such as for taking custody of a
set of assets 218,
collateral 102, or the like (including cryptocurrencies, currency, securities,
stocks, bonds,
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agreements evidencing ownership interests, and many other items), such as on
behalf of a
party 210, client, or other entity 198 that needs assistance in maintaining
security of the
items, or in order to provide security, backing, or a guarantee for an
obligation, such as one
involved in a lending transaction); a loan marketing solution 2002 (such as
for enabling a
lender to market availability of a loan to a set of prospective borrowers, to
target a set of
borrowers who are appropriate for a type of transaction, to configure
marketing or
promotional messages (including placement and timing of the message), to
configure
advertisement and promotional channels for lending transactions, to configure
promotional or
loyalty program parameters, and many others); a brokering solution 244 (such
as for
brokering a set of loan transactions among a set of parties, such as a
mortgage loan), which
may allow a user to configure a set of preferences, profiles, parameters, or
the like to find a
set of prospective counterparties to a lending transaction; a bond management
solution 234
such as for managing, reporting on, syndicating, consolidating, or otherwise
handling a set of
bonds (such as municipal bonds, corporate bonds, performance bonds, and
others); a
guarantee and/or security monitoring solution 230, such as for monitoring,
classifying,
predicting, or otherwise handling the reliability, quality, status, health
condition, financial
condition, physical condition or other information about a guarantee, a
guarantor, a set of
collateral supporting a guarantee, a set of assets backing a guarantee, or the
like; a negotiation
solution 232, such as for assisting, monitoring, reporting on, facilitating
and/or automating
negotiation of a set of terms and conditions for a lending transaction (such
as, without
limitation, a principal amount of debt, a balance of debt, a fixed interest
rate, a variable
interest rate, a payment amount, a payment schedule, a balloon payment
schedule, a
specification of collateral, a specification of substitutability of
collateral, a party, a guarantee,
a guarantor, a security, a personal guarantee, a lien, a duration, a covenant,
a foreclosure
condition, a default condition, and a consequence of default), which may
include a set of user
interfaces for configuration of parameters, profiles, preferences, or the like
for negotiation,
such as ones that use or are informed by the lending model 108 and ones that
use, are
informed by, or that are automated by or with the assistance of a set of
artificial intelligence
156 services and systems, by robotic process automation (RPA) 154, or other
adaptive
intelligent systems 158; a collection solution 238 for collecting on a loan,
which may
optionally use, be informed by, or be automated by or with the assistance of a
set of artificial
intelligence 156 services and systems, by robotic process automation 154, or
other adaptive
intelligent systems 158, such as based on monitoring the status or condition
of various
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entities 198 with the monitoring systems 164 and data collection systems 166
in order to
trigger collection, such as when one or more covenants has not been met, when
collateral is in
poor condition, when financial health of party is below a threshold, or the
like; a
consolidation solution 240 for consolidating a set of loans, such as using a
lending model 108
that is configured for modeling a consolidated set of loans and such as using
or being
automated by one or more adaptive intelligent systems 158; a factoring
solution 242, such as
for monitoring, managing, automating or otherwise handling a set of factoring
transactions,
such as using a lending model 108 that is configured for modeling factoring
transactions and
such as using or being automated by one or more adaptive intelligent systems
158; a debt
restructuring solution 228, such as for restructuring a set of loans or debt,
such as using a
lending model 108 that is configured for modeling alternative scenarios for
restructuring a set
of loans or debt and such as using or being automated by one or more adaptive
intelligent
systems 158; and/or an interest rate automation solution 224, such as for
setting or
configuring a set of rules or a model for a set of interest rates for a set of
lending transactions
or for automating interest rate setting based on information collected by data
collection
systems 166 or monitoring systems 164 (such as information about conditions,
status, health,
location, geolocation, storage condition, or other relevant information about
any of the
entities 198), which may set interest rates or facilitate setting of interest
rates for a set of
loans, such as using a lending model 108 that is configured for modeling
interest rate
scenarios for a set of loans and such as using or being automated by one or
more of the
adaptive intelligent systems 158. As with the solutions referenced in
connection with Fig. 1,
the various solutions may share the adaptive intelligent systems 158, the
monitoring systems
164, the data collection systems 166 and the data storage systems 186, such as
by being
integrated into the lending enablement platform 100 in a microservices
architecture having
various appropriate data integration services, APIs, and interfaces.
[00262] As with the entities 198 described in connection with Fig. 2, entities
198 may
further include a range of entities that are involved with loans, debt
transactions, bonds,
factoring agreements, and other lending transactions, such as: collateral 102
and assets 218
that are used to secure, guarantee, or back a payment obligation (such as
vehicles, ships,
planes, buildings, homes, real estate, undeveloped land, farms, crops,
facilities 138 (such as
municipal facilities, factories, warehouses, storage facilities, treatment
facilities, plants, and
others), systems, a set of inventory, commodities, securities, currencies,
tokens of value,
tickets, cryptocurrencies, consumables, edibles, beverages, precious metals,
jewelry,
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gemstones, intellectual property, intellectual property rights, contractual
rights, legal rights,
antiques, fixtures, equipment, furniture, tools, machinery and personal
property); a set of
parties 210 (such as one or more of a primary lender, a secondary lender, a
lending syndicate,
a corporate lender, a government lender, a bank lender, a secured lender, a
bond issuer, a
bond purchaser, an unsecured lender, a guarantor, a provider of security, a
borrower, a debtor,
an underwriter, an inspector, an assessor, an auditor, an agent, an attorney,
a valuation
professional, a government official, and/or an accountant); a set of lending
agreements 220
(such as loans, bonds 212, lending agreements, corporate debt agreements,
subsidized loan
agreements, factoring agreements, consolidation agreements, syndication
agreements,
guarantee agreements, underwriting agreements, and others, which may include a
set of terms
and conditions that may be searched, collected, monitored, modified or
otherwise handled by
the lending enablement platform 100, such as interest rates, payment
schedules, payment
amounts, principal amounts, representations and warranties, indemnities,
covenants, and
other terms and conditions); a set of guarantees 214 (such as provided by
personal guarantors,
corporate guarantors, government guarantors, municipal guarantors and others
to secure or
back a payment obligation or other obligation of a lending agreement 220); a
set of
performance activities 222 (such as making payments of principal and/or
interest,
maintaining required insurance, maintaining title, satisfying covenants,
maintaining condition
of collateral 102 or assets 218, conducting business as required by an
agreement; and many
others); and devices 252 (such as Internet of Things devices that may be
disposed on or in
goods, equipment or other items, such as ones that are collateral 1PX102 or
assets 218 used to
back a payment obligation or to satisfy a covenant or other requirement, or
that may be
disposed on or in packaging for goods, as well as ones disposed in facilities
138 or other
environments where entities 198 may be located). In embodiments a lending
agreement 220
may be for a bond, a factoring agreement, a syndication agreement, a
consolidation
agreement, a settlement agreement, or a loan, such as one or more of an auto
loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
IoT and Onboard Sensor Platform for Monitoring Collateral for a Loan
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[00263] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
monitoring collateral for a loan. In embodiments, the platform or system
includes (a) a set of
Internet of Things services for monitoring an environment for the collateral;
a set of sensors
positioned on at least one of the collateral, a container for the collateral,
and a package for the
collateral, the set of sensors configured to associate sensor information
sensed by the set of
sensors with a unique identifier for the collateral; and a set of blockchain
services for taking
information from the set of Internet of Things services and the set of sensors
and storing the
information in a blockchain, wherein access to the blockchain is provided via
a secure access
control interface for a secured lender for a loan to which the collateral is
subject.
[00264] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[00265] In embodiments the collateral items are selected from among a vehicle,
a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[00266] In embodiments the set of Internet of Things services monitors an
environment
selected from among a real property environment, a commercial facility, a
warehousing
facility, a transportation environment, a manufacturing environment, a storage
environment, a
home, and a vehicle.
[00267] In embodiments the set of sensors is selected from the group
consisting of image,
temperature, pressure, humidity, velocity, acceleration, rotational, torque,
weight, chemical,
magnetic field, electrical field, and position sensors.
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[00268] In embodiments the platform or system may further include a set of
services for
reporting on events relevant to at least one of the value, the condition and
the ownership of
the collateral.
[00269] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
collateral and undertakes an action related to a loan to which the collateral
is subject.
[00270] In embodiments the loan-related action is selected from among offering
a loan,
accepting a loan, underwriting a loan, setting an interest rate for a loan,
deferring a payment
requirement, modifying an interest rate for a loan, validating title for
collateral, recording a
change in title, assessing the value of collateral, initiating inspection of
collateral, calling a
loan, closing a loan, setting terms and conditions for a loan, providing
notices required to be
provided to a borrower, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan.
[00271] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of the collateral. In embodiments the collateral items are selected from among
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, an item of intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[00272] In embodiments the market value data collection service monitors
pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[00273] In embodiments a set of similar items for valuing an item of
collateral is constructed
using a similarity clustering algorithm based on the attributes of the
collateral. In
embodiments the attributes are selected from among a category of the
collateral, an age of the
collateral, a condition of the collateral, a history of the collateral, a
storage condition of the
collateral and a geolocation of the collateral.
[00274] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the loan. In embodiments the smart
contract
services set terms and conditions for the loan. In embodiments the set of
terms and conditions
for the loan that are specified and managed by the set of smart contract
services is selected
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from among a principal amount of debt, a balance of debt, a fixed interest
rate, a variable
interest rate, a payment amount, a payment schedule, a balloon payment
schedule, a
specification of collateral, a specification of substitutability of
collateral, a party, a guarantee,
a guarantor, a security, a personal guarantee, a lien, a duration, a covenant,
a foreclose
condition, a default condition, and a consequence of default.
Allocate collateral for a loan using distributed ledger and smart contract
[00275] In embodiments, provided herein is a system for handling a loan having
a set of
computational services. In embodiments, the platform or system includes (a) a
set of
blockchain services for supporting a distributed ledger; (b) a set of data
collection and
monitoring services for monitoring a set of items that provide collateral for
a loan; (c) a set of
valuation services that use a valuation model to set a value for collateral
based on information
from the data collection and monitoring services; and (d) a set of smart
contract services for
establishing a smart lending contract, wherein the smart contract services
process output from
the set of valuation services and assigns items of collateral sufficient to
provide security for
the loan to the loan on a distributed ledger that records events relevant to
the loan.
[00276] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[00277] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[00278] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
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[00279] In embodiments the collateral items are selected from among a vehicle,
a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[00280] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[00281] In embodiments the valuation services include artificial intelligence
services that
iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[00282] In embodiments the valuation services further include a set of market
value data
collection services that monitor and report on marketplace information
relevant to the value
of collateral.
[00283] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[00284] In embodiments a set of similar items for valuing an item of
collateral is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[00285] In embodiments the attributes are selected from among a category of
the collateral,
an age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
Smart contract that sets primary and secondary priority for lenders on same
collateral
[00286] In embodiments, provided herein is a system for handling a loan having
a set of
computational services. In embodiments, the platform or system includes (a) a
set of
blockchain services for supporting a distributed ledger; (b) a set of data
collection and
monitoring services for monitoring a set of items that provide collateral for
a loan; and (c) a
set of smart contract services for establishing a smart lending contract,
wherein the smart
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contract services assign collateral to a loan on a distributed ledger that
records events relevant
to the loan and record priority among a set of lending entities with respect
to the collateral.
[00287] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0288] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0289] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0290] In embodiments the set of the collateral items is selected from among a
vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, an item of intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0291] In embodiments the platform or system may further include a set of
valuation services
that use a valuation model to set a value for collateral based on information
from a set of data
collection and monitoring services that monitor items of collateral.
[0292] In embodiments the valuation services include artificial intelligence
services that
iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
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[0293] In embodiments the valuation services further include a set of market
value data
collection services that monitor and report on marketplace information
relevant to the value
of collateral.
[0294] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0295] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0296] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0297] In embodiments output from the set of valuation services is used by the
smart contract
services to apportion value for an item of collateral among a set of lenders.
[0298] In embodiments the apportionment of value is based on priority
information for the
lenders that is recorded in the distributed ledger.
[0299] Referring to Fig. 3, in embodiments, devices 252 may be connected
devices that
connect (such as through any of the wide range of interfaces 187) to a set of
Internet of
Things (IoT) data collection services 208, which may be part of or integrated
with the data
collection systems 166 and monitoring systems 164 of the lending enablement
platform 100.
The interfaces 187 may include network interfaces, APIs, SDKs, ports, brokers,
connectors,
gateways, cellular network facilities, data integration interfaces, data
migration systems,
cloud computing interfaces (including ones that include computational
capabilities, such as
AWS IoT GreengrassTM, AmazonTM LambdaTM and similar systems), and others. For
example, the IoT data collection services 208 may be configured to take data
from a set of
edge data collection devices in the Internet of Things, such as low-power
sensor devices (e.g.,
for sensing movement of entities, for sensing, temperatures, pressures or
other attributes
about entities 198 or their environments, or the like), cameras that capture
still or video
images of entities 198, more fully enabled edge devices (such as Raspberry
PiTM or other
computing devices, UnixTM devices, and devices running embedded systems, such
as
including microcontrollers, FPGAs, ASICs and the like), and many others. The
IoT data
collection services 208 may, in embodiments, collect data about collateral 102
or assets 218,
such as, for example, regarding the location, condition (health, physical, or
otherwise),
quality, security, possession, or the like. For example, an item of personal
property, such as a
gemstone, vehicle, item of artwork, or the like, may be monitored by a motion
sensor and/or a
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camera having a known location (or having a location confirmed by GPS or other
location
system), to ensure that it remains in a safe, designated location. The camera
can provide
evidence that the item remains in undamaged condition and in the possession of
a party 210,
such as to indicate that it remains appropriate and adequate collateral 102
for a loan. In
embodiments this may include items of collateral for microloans, such as
clothing,
collectibles, and other items.
[0300] In embodiments the lending enablement platform 100 has a set of data-
integrated
microservices including data collection services 166, monitoring services 164,
blockchain
services for storing data as a blockchain 136, and smart contract services 134
for handling
lending entities and transactions. The smart contract services 134 may take
data from the
data collection systems 166 and monitoring systems 164 (such as from IOT
devices) and
automatically execute a set of rules or conditions that embody the smart
contract based on the
collected data. For example, upon recognition that collateral 102 for a loan
has been
damaged (such as evidenced by a camera or sensor), the smart contract services
134 may
automatically initiate a demand for payment of a loan, automatically initiate
a foreclosure
process, automatically initiate an action to claim substitute or backup
collateral, automatically
initiate an inspection process, automatically change a payment or interest
rate term that is
based on the collateral (such as setting an interest rate at a level for an
unsecured loan, rather
than a secured loan), or the like. Smart contract events may be recorded on a
blockchain 136
by the blockchain services, such as in a distributed ledger. Automated
monitoring of
collateral 102 and assets 218 and handling of loans via smart contract
services 134 may
facilitate lending to a much wider range of parties 210 and undertaking of
loans based on a
much wider range of collateral 102 and assets 218 than for conventional loans,
as lenders
may have greater certainty as to the condition of collateral. Monitoring
systems 164 and data
collection systems 166 may also monitor and collect data from external
marketplaces 188 or
for marketplaces operated with the lending enablement platform 100 to maintain
awareness
of the value of collateral 102 and assets 218, such as to ensure that items
remain of adequate
value and liquidity to assure repayment of a loan. For example, public e-
commerce auction
sites like eBayTM can be monitored to confirm that personal property items are
of a type and
condition likely to be disposed of easily by a lender in a liquid public
market, so that the
lender is sure to receive payment if the borrower defaults. This may allow
loans to be made
and administered on a wide range of personal property that is normally
difficult to use as
collateral. In embodiments an automated foreclosure process may be initiated
by a smart
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contract, which may, upon occurrence of a condition of default that permits
foreclosure (such
as uncured failure to make payments) include a process for automatically
initiating placement
of an item of collateral on a public auction site (such as eBayTM or an
auction site appropriate
for a particular type of property), automatically securing collateral (such as
by locking a
connected device, such as a smart lock, smart container, or the like that
contains or secures
collateral), automatically configuring a set of instructions to a carrier,
freight forwarder, or
the like for shipping collateral, automatically configuring a set of
instructions for a drone, a
robot, or the like for transporting collateral, or the like.
[0301] In embodiments a system is provided for facilitating foreclosure on
collateral. The
system may include a set of data collection and monitoring services for
monitoring at least
one condition of a lending agreement; and a set of smart contract services
establishing terms
and conditions of the lending agreement that include terms and conditions for
foreclosure on
at least one item that provides collateral securing a repayment obligation of
the lending
agreement, wherein upon detection of a default based on data collected by the
data collection
and monitoring services, the set of smart contract services automatically
initiates a
foreclosure process on the collateral. In embodiments, the set of smart
contract services
initiates a signal to at least one of a smart lock and a smart container to
lock the collateral. In
embodiments, the set of smart contract services configures and initiates a
listing of the
collateral on a public auction site. In embodiments, the set of smart contract
services
configures and delivers a set of transport instructions for the collateral. In
embodiments, the
set of smart contract services configures a set of instructions for a drone to
transport the
collateral. In embodiments, the set of smart contract services configures a
set of instructions
for a robot to transport the collateral. In embodiments, the set of smart
contract services
initiates a process for automatically substituting a set of substitute
collateral. In
embodiments, the set of smart contract services initiates a message to a
borrower initiating a
negotiation regarding the foreclosure. In embodiments, the negotiation is
managed by a
robotic process automation system that is trained on a training set of
foreclosure negotiations.
In embodiments, the negotiation relates to modification of at least one of the
interest rate, the
payment terms, and the collateral for the lending transaction.
[0302] Referring to Fig. 4, in embodiments the lending enablement platform 100
is provided
having Internet of Things (IoT) data collection services 208 (with various IoT
and edge
devices as described throughout this disclosure) for monitoring at least one
of a set of assets
218 and a set of collateral 102 for a loan, a bond, or a debt transaction. The
lending
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enablement platform 100 may include a guarantee and/or security monitoring
solution 230 for
monitoring assets 218 and/or collateral 102 based on the data collected by the
IoT data
collection services 208, such as where the guarantee and/or security
monitoring solution 230
uses various adaptive intelligent systems 158, such as ones that may use model
(which may
be adjusted, reinforced, trained, or the like, such as using artificial
intelligence 156) that
determines the condition or value of items based on images, sensor data,
location data, or
other data of the type collected by the IoT data collection services 208.
Monitoring may
include monitoring of location of collateral 102 or assets 218, behavior of
parties 210,
financial condition of parties 210, or the like. The guarantee and/or security
monitoring
solution 230 may include a set of interfaces by which a user may configure
parameters for
monitoring, such as rules or thresholds regarding conditions, behaviors,
attributes, financial
values, locations, or the like, in order to obtain alerts regarding collateral
102 or assets 218.
For example, a user may set a rule that collateral must remain in a given
jurisdiction, a
threshold value of the collateral as a percentage of a loan balance, a minimum
status
condition (e.g., freedom from damage or defects), or the like. Configured
parameters may be
used to provide alerts to personnel responsible for monitoring loan compliance
and/or used or
embodied into one or more smart contract contracts that may take input from
the interface of
the guarantee and/or security monitoring solution 230 to configure conditions
for foreclosure,
conditions for changing interest rates, conditions for accelerating payments,
or the like. The
lending enablement platform 100 may have a loan management solution 248 that
allows a
loan manager to access information from the IoT data collection services 208
and/or the
guarantee and/or security monitoring solution 230, such that a user may manage
various
actions with respect to a loan (of the many types describe herein, such as
setting interest rates,
foreclosing, sending notices, and the like) based on the condition of
collateral 102 or assets
218, based on events involving entities 198, based on behaviors, based on loan-
related actions
(such as payments) and other factors. The loan management solution 248 may
include a set of
interfaces, workflows, models (including adaptive intelligent systems 158)
that are
configured for a particular type of loan (of the many types described herein)
and that allow a
user to configure parameters, set rules, set thresholds, design workflows,
configure smart
contract services, configure blockchain services, and the like in order to
facilitate automated
or assisted management of a loan, such as enabling automated handing of loan
actions by a
smart contract in response to collected data from the IoT data collection
services 208 or
enabling generation of a set of recommended actions for a human user based on
that data.
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[0303] In embodiments a lending platform is provided having a smart contract
and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral. A set of smart contract services
134 may, for
example, transfer ownership of the collateral 102 or other assets 218 upon
recognition of an
event of failure to make payment or other default, occurrence of a foreclosure
condition (such
as failure to satisfy with a covenant or failure to comply with an
obligation), or the like,
where the ownership transfer and related events are recorded by the set of
blockchain services
in a distributed ledger, such as one that provides a secure record of title to
the assets 218 or
collateral 102. As an example, a covenant of a loan embodied in a smart
contract may
require that collateral 102 have a value that exceeds a minimum fraction (or
multiple) of the
remaining balance of a loan. Based on data collected about the value of
collateral (such as by
monitoring one or more external marketplaces 188 or marketplaces of the
lending enablement
platform 100), a smart contract may calculate whether the covenant is
satisfied and record the
outcome on a blockchain. If the covenant is not satisfied, such as if market
factors indicate
that the type of collateral has diminished, while the loan balance remains
high, the smart
contract may initiate a foreclosure, including recording an ownership transfer
on a distributed
ledger via the blockchain services. A smart contract may also process events
related to an
entity 198 such as a party 210. For example, a covenant of a loan may require
the party to
maintain a level of debt below a threshold or ratio, to maintain a level of
income, to maintain
a level of profit, or the like. The monitoring systems 164 or data collection
systems 166 may
provide data used by the smart contract services 134 to determine covenant
compliance and
to enable automated action, including recording events like foreclosure and
ownership
transfers on a distributed ledger. In another example, a covenant may relate
to a behavior of
a party 210 or a legal status of a party 210, such as requiring the party to
refrain from taking a
particular action with respect to an item of property. For example, a covenant
may require a
party to comply with zoning regulations that prohibit certain usage of real
property. IoT data
collection services 208 may be used to monitor the party 210, the property, or
other items to
confirm compliance with the covenant or to trigger alerts or automated actions
in cases of
non-compliance.
Smart contract with automatic foreclosure based on collateral value falling
below
covenant requirement
[0304] In embodiments, provided herein is a system for handling a loan having
a set of
computational services. In embodiments, the platform or system includes (a) a
set of data
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collection and monitoring services for monitoring a set of items that provide
collateral for a
loan; (b) a set of valuation services that uses a valuation model to set a
value for collateral
based on information from the data collection and monitoring services; and (c)
a set of smart
contract services for managing a smart lending contract, wherein the set of
smart contract
services processes output from the set of valuation services, compares the
output to a
covenant of the loan that is specified in a smart contract and automatically
initiates at least
one of a notice of default and a foreclosure action when the value of the
collateral is
insufficient to satisfy the covenant.
[0305] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0306] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0307] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0308] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
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[0309] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0310] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0311] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0312] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0313] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0314] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
Collateral for smart contract aggregated with other similar collateral
[0315] In embodiments, provided herein is a smart contract system for handling
a loan
having a set of computational services. In embodiments, the platform or system
includes (a)
a set of data collection and monitoring services for identifying a set of
items that provide
collateral for a set of loans and collecting information with respect to the
collateral items; (b)
a set of clustering services for grouping the collateral items based on
similarity of attributes
of the collateral items; and (c) a set of smart contract services for managing
a smart lending
contract, wherein the set of smart contract services processes output from the
set of clustering
services and aggregates and links a subset of similar items of collateral to
provide collateral
for a set of loans. The clustering circuit 104 may be part of the adaptive
intelligent systems
158 and may use any of a wide range of clustering models and techniques, such
as ones that
are based on attributes of entities 198 that are collected by the monitoring
systems TXX16 or
data collection systems 166 and/or stored in the data storage system 186.
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[0316] In embodiments the loan for which collateral is aggregated may be any
of an auto
loan, an inventory loan, a capital equipment loan, a bond for performance, a
capital
improvement loan, a building loan, a loan backed by an account receivable, an
invoice
finance arrangement, a factoring arrangement, a pay day loan, a refund
anticipation loan, a
student loan, a syndicated loan, a title loan, a home loan, a venture debt
loan, a loan of
intellectual property, a loan of a contractual claim, a working capital loan,
a small business
loan, a farm loan, a municipal bond, and a subsidized loan.
[0317] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0318] In embodiments clustering the collateral is performed by a clustering
algorithm that
groups collateral based on attributes collected by the data collection and
monitoring services.
[0319] In embodiments attributes used for grouping are selected from among a
type of item,
a category of item, a specification of an item, a product feature set of an
item, a model of
item, a brand of item, a manufacturer of item, a status of item, a context of
item, a state of
item, a value of item, a storage location of item, a geolocation of item, an
age of item, a
maintenance history of item, a usage history of item, an accident history of
item, a fault
history of item, an ownership of item, an ownership history of item, a price
of a type of item,
a value of a type of item, an assessment of an item, and a valuation of an
item.
[0320] In embodiments the set of smart contract services allocates a group of
similar items as
collateral across a set of loans among different parties, thereby diversifying
risk across the
loans.
[0321] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for collateral based on information
from the data
collection and monitoring services, wherein the set of smart contract services
automatically
rebalances items of collateral for a set of loans based on the value of the
collateral.
[0322] In embodiments a set of similar collateral items for a set of loans is
aggregated in real
time based on a similarity in status of the set of items.
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[0323] In embodiments the similarity in status is based on the items being in
transit during a
defined time period.
[0324] In embodiments a set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0325] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0326] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
Smart contract that manages, in a blockchain and distributed ledger, a lien on
an asset
based on status of a loan for which the asset is collateral
[0327] In embodiments, provided herein is a smart contract system for managing
a lien on
collateral for a loan having a set of computational services. In embodiments,
the platform or
system includes (a) a set of data collection and monitoring services for
monitoring the status
of a loan and an associated set of items of collateral for the loan; (b) a set
of blockchain
services for maintaining a secure historical ledger of events related to the
loan, the blockchain
services having access control features that govern access by a set of parties
involved in a
loan; and (c)a set of smart contract services for managing a smart lending
contract, wherein
the set of smart contract services processes information from the set of data
collection and
monitoring services and automatically at least one of initiates and terminates
a lien on at least
one item in the set of collateral based on the status of the loan, wherein the
action on the lien
is recorded in the distributed ledger for the loan.
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[0328] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0329] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0330] In embodiments the status of the loan is determined based on the status
of at least one
of an entity related to the loan and a state of performance of a condition for
the loan.
[0331] In embodiments the performance of a condition relates to at least one
of a payment
performance and satisfaction of a covenant.
[0332] In embodiments the set of data collection and monitoring services
monitors an entity
to determine compliance with a covenant.
[0333] In embodiments the entity is a party, and the set of data collection
and monitoring
services monitors the financial condition of an entity that is a party to the
loan.
[0334] In embodiments the financial condition is determined based on a set of
attributes of
the entity selected from among a publicly stated valuation of the entity, a
set of property
owned by the entity as indicated by public records, a valuation of a set of
property owned by
the entity, a bankruptcy condition of an entity, a foreclosure status of an
entity, a contractual
default status of an entity, a regulatory violation status of an entity, a
criminal status of an
entity, an export controls status of an entity, an embargo status of an
entity, a tariff status of
an entity, a tax status of an entity, a credit report of an entity, a credit
rating of an entity, a
website rating of an entity, a set of customer reviews for a product of an
entity, a social
network rating of an entity, a set of credentials of an entity, a set of
referrals of an entity, a set
of testimonials for an entity, a set of behavior of an entity, a location of
an entity, and a
geolocation of an entity.
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[0335] In embodiments the party is selected from among a primary lender, a
secondary
lender, a lending syndicate, a corporate lender, a government lender, a bank
lender, a secured
lender, bond issuer, a bond purchaser, an unsecured lender, a guarantor, a
provider of
security, a borrower, a debtor, an underwriter, an inspector, an assessor, an
auditor, a
valuation professional, a government official, and an accountant.
[0336] In embodiments the entity is a set of collateral for the loan and the
set of data
collection and monitoring services monitor the status of the collateral.
[0337] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0338] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for a set of collateral based on
information from the
data collection and monitoring services.
[0339] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0340] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0341] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0342] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
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[0343] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0344] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0345] In embodiments terms and conditions for the loan that are specified and
managed by
the set of smart contract services is selected from among a principal amount
of debt, a
balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a payment
schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0346] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0347] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0348] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
Smart contract/blockchain that allows substitution of collateral for a loan
based on
validated information about the collateral (ownership, condition, value)
[0349] In embodiments, provided herein is a smart contract system for managing
collateral
for a loan having a set of computational services. In embodiments, the
platform or system
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includes (a) a set of data collection and monitoring services for monitoring
the status of a
loan and of an associated set of items of collateral for the loan; (b) a set
of blockchain
services for maintaining a secure historical ledger of events related to the
loan, the blockchain
services having access control features that govern access by a set of parties
involved in a
loan; and (c) a set of smart contract services for managing a smart lending
contract, wherein
the set of smart contract services processes information from the set of data
collection and
monitoring services and automatically initiates at least one of substitution,
removal, or
addition of a set of items to the set of collateral for the loan based on an
outcome of the
processing, wherein the change in the set of collateral is recorded in the
distributed ledger for
the loan.
[0350] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0351] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0352] In embodiments the status of the loan is determined based on the status
of at least one
of an entity related to the loan and a state of performance of a condition for
the loan.
[0353] In embodiments the performance of a condition relates to at least one
of a payment
performance and satisfaction of a covenant.
[0354] In embodiments the set of data collection and monitoring services
monitors an entity
to determine compliance with a covenant.
[0355] In embodiments the entity is a party, and the set of data collection
and monitoring
services monitors the financial condition of an entity that is a party to the
loan.
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[0356] In embodiments the financial condition is determined based on a set of
attributes of
the entity selected from among a publicly stated valuation of the entity, a
set of property
owned by the entity as indicated by public records, a valuation of a set of
property owned by
the entity, a bankruptcy condition of an entity, a foreclosure status of an
entity, a contractual
default status of an entity, a regulatory violation status of an entity, a
criminal status of an
entity, an export controls status of an entity, an embargo status of an
entity, a tariff status of
an entity, a tax status of an entity, a credit report of an entity, a credit
rating of an entity, a
website rating of an entity, a set of customer reviews for a product of an
entity, a social
network rating of an entity, a set of credentials of an entity, a set of
referrals of an entity, a set
of testimonials for an entity, a set of behavior of an entity, a location of
an entity, and a
geolocation of an entity.
[0357] In embodiments the party is selected from among a primary lender, a
secondary
lender, a lending syndicate, a corporate lender, a government lender, a bank
lender, a secured
lender, bond issuer, a bond purchaser, an unsecured lender, a guarantor, a
provider of
security, a borrower, a debtor, an underwriter, an inspector, an assessor, an
auditor, a
valuation professional, a government official, and an accountant.
[0358] In embodiments the entity is a set of collateral for the loan and the
set of data
collection and monitoring services monitors the status of the collateral.
[0359] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0360] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for a set of collateral based on
information from the
data collection and monitoring services.
[0361] In embodiments the smart contract initiates substitution, removal or
addition of
collateral items to the set of collateral for the loan to maintain a value of
collateral within a
stated range.
[0362] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
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facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0363] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0364] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0365] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0366] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0367] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0368] In embodiments terms and conditions for the loan that are specified and
managed by
the set of smart contract services is selected from among a principal amount
of debt, a
balance of debt, a fixed interest rate, a variable interest rate, a payment
amount, a payment
schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0369] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0370] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
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guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0371] In embodiments a lending platform is provided having a smart contract
that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction.
[0372] Referring to Fig. 55, in embodiments a lending platform is provided
having a
crowdsourcing system for obtaining information about at least one of a state
of a set of
collateral for a loan and a state of an entity relevant to a guarantee for a
loan. Thus, in
embodiments, a platform is provided herein, with systems, methods, processes,
services,
components and other elements for enabling a blockchain and smart contract
platform 500 for
crowdsourcing information relevant to lending. As with other embodiments
described above
in connection with sourcing innovation, product demand, or the like, a
blockchain 136, such
as optionally embodying a distributed ledger, may be configured with a set of
smart contracts
to administer a reward 512 for the submission of loan information 518, such as
evidence of
ownership of property, evidence of title, information about ownership of
collateral,
information about condition of collateral, information about the location of
collateral,
information about a party's identity, information about a party's
creditworthiness,
information about a party's activities or behavior, information about a
party's business
practices, information about the status of performance of a contract,
information about
accounts receivable, information about accounts payable, information about the
value of
collateral, and many other types of information. In embodiments, a blockchain
136, such as
optionally distributed in a distributed ledger, may be used to configure a
request for
information 518 along with terms and conditions 510 related to the
information, such as a
reward 512 for submission of the information 518, a set of terms and
conditions 510 related
to the use of the information 518), and various parameters 508, such as timing
parameters, the
nature of the information required (such as independently validated
information like title
records, video footage, photographs, witnessed statements, or the like), and
other parameters
508.
[0373] The platform 500 may include a crowdsourcing interface 5120, which may
be
included in or provided in coordination with a website, application,
dashboard,
communications system (such as for sending emails, texts, voice messages,
advertisements,
broadcast messages, or other message), by which a message may be presented in
the
crowdsourcing interface 5120 or sent to relevant individuals (whether
targeted, such as in the
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case of a request to a particular individual, or broadcast, such as to
individuals in a given
location, company, organization, or the like) with an appropriate link to the
smart contract
and associated blockchain 136, such that a reply message submitting
information 518, with
relevant attachments, links, or other information, can be automatically
associated (such as via
an API or data integration system) with the blockchain 136, such that the
b1ockchain136, and
any optionally associated distributed ledger, maintains a secure, definitive
record of
information 518 submitted in response to the request. Where a reward 512 is
offered, the
blockchain 136 and/or smart contract may be used to record time of submission,
the nature of
the submission, and the party submitting, such that at such time as a
submission satisfies the
conditions for a reward 512 (such as, for example, upon completion of a loan
transaction in
which the information 518 was useful), the blockchain 136 and any distributed
ledger stored
thereby can be used to identify the submitter and, by execution of the smart
contract, convey
the reward 512 (which may take any of the forms of consideration noted
throughout this
disclosure. In embodiments, the blockchain 136 and any associated ledger may
include
identifying information for submissions of information 518 without containing
actual
information 518, such that information may be maintained secret (such as being
encrypted or
being stored separately with only identifying information), subject to
satisfying or verifying
conditions for access (such as identification or verification of a person who
has legitimate
access rights, such as by an identity or security application 148). Rewards
512 may be
provided based on outcomes of cases or situations to which information 518
relates, based on
a set of rules (which may be automatically applied in some cases, such as
using a smart
contract in concert with an automation system, a rule processing system, an
artificial
intelligence system 156 or other expert system, which in embodiments may
comprise one that
is trained on a training data set created with human experts. For example, a
machine vision
system may be used to evaluate evidence of the existence and/or condition of
collateral based
on images of items, and parties submitting information about collateral may be
rewarded,
such as via tokens or other consideration, via distribution of rewards 512
through the smart
contract, blockchain 136 and any distributed ledger. Thus, the platform 500
may be used for
a wide variety of fact-gathering and information-gathering purposes, to
facilitate validation of
collateral, to validate representations about behavior, to validate occurrence
of conditions of
compliance, to validate occurrence of conditions of default, to deter improper
behavior or
misrepresentations, to reduce uncertainty, to reduce asymmetries of
information, or the like.
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[0374] In embodiments, information may relate to fact-gathering or data-
gathering for a
variety of applications and solutions that may be supported by a lending
enablement platform
100 , including the crowdsourcing platform 500, such as for an underwriting
solution 122
(e.g., of various types of loans, guarantees, and other items), risk
management solutions 124
(such as managing a wide variety of risks noted throughout this disclosure,
such as risks
associated with individual loans, packages of loans, tranches of loans and the
like); lending
applications 144 (such as evidence of the ownership and or value of
collateral, evidence of
the veracity of representations, evidence of performance or compliance with
loan covenants,
and the like); regulatory and/or compliance solutions 142 (such as with
respect to compliance
with a wide range of regulations that may govern entities 198 and processes,
behaviors or
activities of or by entities 198); and fraud prevention applications 139 (such
as to detect
fraud, misrepresentation, improper behavior, libel, slander, and the like).
For example, a
capital loan for a building may include a covenant regarding the use of the
property, such as
permitting certain uses and prohibiting others, permitting a given occupancy,
or the like, and
the crowdsourcing platform 500 may solicit and provide consideration for
compliance
information about the building (e.g., requesting confirmation from the crowd
that a building
is in fact being used for its intended use as permitted by zone regulations).
Crowdsourced
information may be combined with information from monitoring systems 164. In
embodiments, an adaptive intelligent system 158 may, for example, continuously
monitor a
property, an item of collateral 102 or other entity 198 and, upon recognition
(such as by an Al
system, such as a neural network classifier) of a suspicious event (e.g., one
that may indicate
violation of a loan covenant), the adaptive intelligent system 158 may provide
a signal to the
crowdsourcing system 520 indicating that a crowdsourcing process should be
initiated to
verify the presence or absence of the violation. In embodiments, this may
include classifying
the covenant-related condition that using a machine classifier, providing the
classification
along with identifying data about an entity, and automatically configuring,
such as based on a
model or set of rules, a crowdsource request that identifies what information
is requested
about what entity 198 and what reward 512 is provided. In embodiment, rewards
512 may be
configured by experts, rewards 512 may be based on a set of rules (such as
ones that operate
on parameters of the loan, the terms and conditions of a covenant in a smart
contract (such as
loan value, remaining term, and the like), the value of collateral 102, or the
like), and/or
reward 512 may be set by robotic process automation (RPA) 154, such as where
an RPA 154
system is trained on a training set of expert activities in setting rewards in
various contexts
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that collectively show what rewards are appropriate in given situations.
Robotic process
automation (RPA) 154 of reward configuration may be continuously improved by
artificial
intelligence 156, such as based on a continuous feedback of outcomes of
crowdsourcing, such
as outcomes of success (e.g., verification of covenant defaults, yield
outcomes, and the like).
[0375] Information gathering may include information gathering with respect to
entities 198
and their identities, assertions, claims, actions or behaviors, among many
other factors and
may be accomplished by crowdsourcing in the platform 500 or by data collection
systems
166 and monitoring systems 164, optionally with automation via robotic process
automation
(RPA) 154 and adaptive intelligence, such as using an artificial intelligence
system 156.
[0376] Referring to Fig. 6, a platform-operated marketplace crowdsourcing
system 500 may
be configured, such as in a crowdsourcing dashboard interface 620 or other
user interface for
an operator of the platform-operated marketplace crowdsourcing system 500,
using the
various enabling capabilities of the lending enablement platform 100 described
throughout
this disclosure. The operator may use the user interface or dashboard 514 to
undertake a
series of steps to perform or undertake an algorithm to create a crowdsourcing
request for
information 518 as described in connection with Fig. 5. In embodiments, one or
more of the
steps of the algorithm to create a reward 512 within the dashboard 514 may
include, at a step
602, identifying potential rewards 512, such as what information 518 is likely
to be of value
in a given situation (such as may be indicated through various communication
channels by
stakeholders or representatives of an entity, such as an individual or
enterprise, such as
attorneys, agents, investigators, parties, auditors, detectives, underwriters,
inspectors, and
many others).
[0377] The dashboard 514 may be configured with a crowdsourcing dashboard
interface 620,
such as with elements (including application programming elements, data
integration
elements, messaging elements, and the like) that allow a crowdsourcing request
to be
managed in the platform marketplace 500 and/or in one or more external
marketplaces 504.
In the dashboard 514, at a step 604 the user may configure one or more
parameters 508 or
conditions 510, such as comprising or describing the conditions (of the type
described herein)
for the crowdsourcing request, such as by defining a set of conditions 510
that trigger the
reward 512 and determine allocation of the reward 512 to a set of submitters
of information
518. The user interface of the dashboard 514, which may include or be
associated with the
crowdsourcing dashboard interface 620, may include a set of drop down menus,
tables,
forms, or the like with default, templated, recommended, or pre-configured
conditions,
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parameters 508, conditions 510 and the like, such as ones that are appropriate
for various
types of crowdsourcing requests. Once the conditions and other parameters of
the request are
configured, at a step 608 a smart contract and blockchain 136 may be
configured to maintain,
such as via a ledger, the data required to provision, allocate, and exchange
data related to the
request and to submissions of information 518. The smart contract and
b1ockchain136 may
be configured to identity information, transaction information (such as for
exchanges of
information), technical information, other evidence data 518 of the type
described in
connection with Fig. 5, including any data, testimony, photo or video content
or other
information that may be relevant to a submission of information 518 or the
conditions 510 for
a reward 512. At a step 610 a smart contract may be configured to embody the
conditions
510 that were configured at the step 604 and to operate on the blockchain 136
that was
created at the step 608, as well as to operate on other data, such as data
indicating facts,
conditions, events, or the like in the platform-operated marketplace 500
and/or an external
marketplace 504 or other information site or resource, such as ones related to
submission data
518, such as sites indicating outcomes of legal cases or portions of cases,
sites reporting on
investigations, and the like. The smart contract may be configured at the step
610 to apply
one or more rules, execute one or more conditional operations, or the like
upon data, such as
evidence data 518 and data indicating satisfaction of parameters 508 or
conditions 510, as
well as identity data, transactional data, timing data, and other data. Once
configuration of
one or more blockchains 136 and one or more smart contracts is complete, at a
step 612 the
blockchain 136 and smart contract may be deployed in the platform-operated
marketplace
500, external marketplace 504 or other site or environment, such as for
interaction by one or
more submitters or other users, who may, such as in a crowdsourcing dashboard
interface
620, such as a website, application, or the like, enter into the smart
contract, such as by
submitting a submission of information 518 and requesting the reward 512, at
which point the
platform 500, such as using the adaptive intelligent systems 158 or other
capabilities, may
store relevant data, such as submission data 518, identity data for the party
or parties entering
the smart contract on the blockchain 136 or otherwise on the platform 500. At
a step 614,
once the smart contract is executed, the platform 500 may monitor, such as by
the
monitoring systems 164 layer, the platform-operated marketplace 500 and/or one
or more
external marketplaces 504 or other sites for submission data 518, event data
176, or other
data that may satisfy or indicate satisfaction of one or more conditions 510
or trigger
application of one or more rules of the smart contract, such as to trigger a
reward 512.
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[0378] At a step 616, upon satisfaction of conditions 510, smart contracts may
be settled,
executed, or the like, resulting updates or other operations on the blockchain
136, such as by
transferring consideration (such as via a payments system) and transferring
access to
information 518. Thus, via the above-referenced steps, an operator of the
platform-operated
marketplace 500 may discover, configure, deploy and have executed a set of
smart contracts
that crowdsource information relevant to a loan (such as information about
value or condition
of collateral 102, compliance with covenants, fraud or misrepresentation, and
the like) and
that are cryptographically secured and transferred on a blockchain 136 from
information
gatherers to parties seeking information. In embodiments, the adaptive
intelligent systems
158 layer may be used to monitor the steps of the algorithm described above,
and one or
more artificial intelligence systems may be used to automate, such as by
robotic process
automation (RPA) 154, the entire process or one or more sub-steps or sub-
algorithms. This
may occur as described above, such as by having an artificial intelligence
system 156 learn
on a training set of data resulting from observations, such as monitoring
software interactions
of human users as they undertake the above-referenced steps. Once trained, the
adaptive
intelligent systems 158 layer may thus enable the lending enablement platform
100 to provide
a fully automated platform for crowdsourcing of loan information.
Crowdsourcing system for validating quality, title, or other conditions of
collateral for a
loan
[0379] In embodiments, provided herein is a crowdsourcing system for
validating conditions
of collateral 102 or assets 218 for a loan. In embodiments, the platform or
system includes
(a) a set of crowdsourcing services by which a crowdsourcing request is
communicated to a
group of information suppliers and by which responses to the request are
collected and
processed to provide a reward to at least one successful information supplier;
(b) an interface
to the set of crowdsourcing services that enables configuration of parameters
of the request,
wherein the request and parameters are configured to obtain information
related to the
condition of a set of collateral for a loan; and (c) a set of publishing
services that publish the
crowdsourcing request.
[0380] In embodiments the reward is managed by a smart contract that processes
responses
to the crowdsourcing request and automatically allocates a reward to
information that
satisfies a set of parameters configured for the crowdsourcing request.
[0381] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
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loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0382] In embodiments the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0383] In embodiments condition of collateral 102 or assets 218 includes
condition attributes
selected from the group consisting of the quality of the collateral, the
condition of the
collateral, the status of title to the collateral, the status of possession of
the collateral, the
status of a lien on the collateral, a new or used status of item, a type of
item, a category of
item, a specification of an item, a product feature set of an item, a model of
item, a brand of
item, a manufacturer of item, a status of item, a context of item, a state of
item, a value of
item, a storage location of item, a geolocation of item, an age of item, a
maintenance history
of item, a usage history of item, an accident history of an item, a fault
history of an item, an
ownership of an item, an ownership history of an item, a price of a type of
item, a value of a
type of item, an assessment of an item, and a valuation of an item.
[0384] In embodiments the platform or system may further include a set of
blockchain
services that record identifying information and parameters of the request,
responses to the
crowdsourcing request, and rewards in a distributed ledger for the
crowdsourcing request.
[0385] In embodiments the interface is a graphical user interface configured
to enable a
workflow by which a human user enters parameters to establish the
crowdsourcing request.
[0386] In embodiments the parameters include a type of requested information,
a reward, and
a condition for receiving the reward.
[0387] In embodiments the parameter is a reward, and the reward is selected
from among a
financial reward, a token, a ticket, a contractual right, a cryptocurrency, a
set of reward
points, a currency, a discount on a product or service, and an access right.
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[0388] In embodiments the platform or system may further include a set of
smart contract
services 134 that administer a smart lending contract, wherein the smart
contract services 134
process information from the set of crowdsourcing services and automatically
undertake an
action related to the loan.
[0389] In embodiments the action is at least one of a foreclosure action, a
lien administration
action, an interest-rate setting action, a default initiation action, a
substitution of collateral,
and a calling of the loan.
[0390] In embodiments the platform or system may further include a robotic
process
automation system (RPA) 154 that is trained, based on a training set of
interactions of human
users with the interface to the set of crowdsourcing services, to configure a
crowdsourcing
request based on a set of attributes of a loan. In embodiments the attributes
of the loan are
obtained from a set of smart contract services that manage the loan. In
embodiments the
robotic process automation system is configured to be iteratively trained and
improved based
on a set of outcomes from a set of crowdsourcing requests. In embodiments
training includes
training the robotic process automation system to set a reward. In embodiments
training
includes training the robotic process automation system to determine a set of
domains to
which the request will be published. In embodiments training includes training
the robotic
process automation system to configure the content of a request.
Crowdsourcing system for validating the quality of a personal guarantee for a
loan
[0391] In embodiments, provided herein is a crowdsourcing system 520 for
validating
conditions of collateral 102 or assets 218 for a loan. In embodiments, the
platform or system
includes (a) a set of crowdsourcing services by which a crowdsourcing request
is
communicated to a group of information suppliers and by which responses to the
request are
collected and processed to provide a reward to at least one successful
information supplier;
(b) an interface to the set of crowdsourcing services that enables
configuration of parameters
of the request, wherein the request and parameters are configured to obtain
information
related to the condition of guarantor for a loan; and (c) a set of publishing
services that
publish the crowdsourcing request.
[0392] In embodiments the set of crowdsourcing systems 520 obtains information
about the
financial condition of an entity that is the guarantor for the loan.
[0393] In embodiments the financial condition is determined at least in part
based on
information about the entity selected from among a publicly stated valuation
of the entity, a
set of property owned by the entity as indicated by public records, a
valuation of a set of
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property owned by the entity, a bankruptcy condition of an entity, a
foreclosure status of an
entity, a contractual default status of an entity, a regulatory violation
status of an entity, a
criminal status of an entity, an export controls status of an entity, an
embargo status of an
entity, a tariff status of an entity, a tax status of an entity, a credit
report of an entity, a credit
rating of an entity, a website rating of an entity, a set of customer reviews
for a product of an
entity, a social network rating of an entity, a set of credentials of an
entity, a set of referrals of
an entity, a set of testimonials for an entity, a set of behavior of an
entity, a location of an
entity, and a geolocation of an entity.
[0394] In embodiments the reward is managed by a smart contract that processes
responses
to the crowdsourcing request and automatically allocates a reward to
information that
satisfies a set of parameters configured for the crowdsourcing request.
[0395] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0396] In embodiments the platform or system may further include an interface
of the
crowdsourcing services In embodiments a request is configured to obtain
information about
condition of a set of collateral for the loan, wherein the set of collateral
items is selected from
among a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual property,
an intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0397] In embodiments condition of collateral includes condition attributes
selected from the
group consisting of the quality of the collateral, the condition of the
collateral, the status of
title to the collateral, the status of possession of the collateral, the
status of a lien on the
collateral, a new or used status of item, a type of item, a category of item,
a specification of
an item, a product feature set of an item, a model of item, a brand of item, a
manufacturer of
item, a status of item, a context of item, a state of item, a value of item, a
storage location of
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item, a geolocation of item, an age of item, a maintenance history of item, a
usage history of
item, an accident history of an item, a fault history of an item, an ownership
of an item, an
ownership history of an item, a price of a type of item, a value of a type of
item, an
assessment of an item, and a valuation of an item.
[0398] In embodiments the platform or system may further include a set of
blockchain
services that record identifying information and parameters of the request,
responses to the
crowdsourcing request, and rewards in a distributed ledger for the
crowdsourcing request.
[0399] In embodiments the interface is a graphical user interface configured
to enable a
workflow by which a human user enters parameters to establish the
crowdsourcing request.
[0400] In embodiments the parameters include a type of requested information,
a reward, and
a condition for receiving the reward.
[0401] In embodiments the parameter is a reward, and the reward is selected
from among a
financial reward, a token, a ticket, a contractual right, a cryptocurrency, a
set of reward
points, a currency, a discount on a product or service, and an access right.
[0402] In embodiments the platform or system may further include a set of
smart contract
services that administer a smart lending contract, wherein the smart contract
services process
information from the set of crowdsourcing services and automatically undertake
an action
related to the loan.
[0403] In embodiments the action is at least one of a foreclosure action, a
lien administration
action, an interest-rate setting action, a default initiation action, a
substitution of collateral,
and a calling of the loan.
[0404] In embodiments the platform or system may further include a robotic
process
automation system that is trained, based on a training set of interactions of
human users with
the interface to the set of crowdsourcing services, to configure a
crowdsourcing request based
on a set of attributes of a loan.
[0405] In embodiments the attributes of the loan are obtained from a set of
smart contract
services that manage the loan.
[0406] In embodiments the robotic process automation system is configured to
be iteratively
trained and improved based on a set of outcomes from a set of crowdsourcing
requests.
[0407] In embodiments training includes training the robotic process
automation system to
set a reward, to determine a set of domains to which the request will be
published or to
configure the content of a request.
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[0408] Referring to Fig. 7, in embodiments a lending platform is provided
having smart
contract services 134 that automatically adjusts an interest rate for a loan
based on
information collected via at least one of an Internet of Things system, a
crowdsourcing
system, a set of social network analytic services and a set of data collection
and monitoring
services. The lending enablement platform 100 may include an interest rate
automation
solution 224 that may include a set of interfaces, workflows, and models
(which may include,
use or be enabled by various adaptive intelligent systems 158) and other
components that are
configured to enable automation of the setting of interest rates based on a
set of conditions,
which may include smart contract terms and conditions, marketplace conditions
(of platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets 218, among others). For
example, a user of
the interest rate automation solution 224 may set (such as in a user
interface) rules,
thresholds, model parameters, and the like that determine, or recommend, an
interest rate for
a loan based on the above, such as based on interest rates available to the
lender from
secondary lenders, risk factors of the borrower (including predicted risk
based on one or more
predictive models using artificial intelligence 156), or the system may
automatically
recommend or set such rules, thresholds, parameters and the like (optionally
by learning to do
so based on a training set of outcomes over time). Interest rates may be
determined based on
marketing factors (such as competing interest rates offered by other lenders).
Interest rates
may be calculated for new loans, for modifications of existing loans, for
refinancing, for
foreclosure situations (e.g., changing from secured loan rates to unsecured
loan rates), and the
like.
[0409] In embodiments, provided herein is a smart contract system for
modifying a loan
having a set of computational services. In embodiments, the platform or system
includes (a)
a set of data collection and monitoring services for monitoring a set of
entities involved in a
loan; and (b) a set of smart contract services for managing a smart lending
contract, wherein
the set of smart contract services processes information from the set of data
collection and
monitoring services and automatically initiates a change in an interest rate
for the loan based
on the information.
[0410] In embodiments the change in interest rate is based on the condition of
a set of
collateral for the loan that is monitored by the set of data collection and
monitoring services.
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[0411] In embodiments the change in interest rate is based on an attribute of
a party that is
monitored by the set of data collection and monitoring services.
[0412] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0413] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0414] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0415] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0416] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for a set of collateral based on
information from the
data collection and monitoring services.
[0417] In embodiments the change in interest rate is based on the valuation of
a set of
collateral for the loan that is monitored by the set of data collection and
monitoring services.
[0418] In embodiments a set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
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facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0419] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0420] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0421] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0422] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0423] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0424] In embodiments, provided herein is a smart contract system for
modifying a loan
having a set of computational services. In embodiments, the platform or system
includes (a)
a set of data collection and monitoring services for monitoring public sources
of information
about a set of entities involved in a loan, wherein the public sources of
information are
selected from among website information, news article information, social
network
information and crowdsourced information; and (b) a set of smart contract
services for
managing a smart lending contract, wherein the set of smart contract services
processes
information from the set of data collection and monitoring services and
automatically initiates
a change in an interest rate for the loan based on the information.
[0425] In embodiments the set of data collection and monitoring services
monitor the
financial condition of an entity that is a party to the loan.
[0426] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
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loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0427] In embodiments the financial condition is determined based on a set of
attributes of
the entity selected from among a publicly stated valuation of the entity, a
set of property
owned by the entity as indicated by public records, a valuation of a set of
property owned by
the entity, a bankruptcy condition of an entity, a foreclosure status of an
entity, a contractual
default status of an entity, a regulatory violation status of an entity, a
criminal status of an
entity, an export controls status of an entity, an embargo status of an
entity, a tariff status of
an entity, a tax status of an entity, a credit report of an entity, a credit
rating of an entity, a
website rating of an entity, a set of customer reviews for a product of an
entity, a social
network rating of an entity, a set of credentials of an entity, a set of
referrals of an entity, a set
of testimonials for an entity, a set of behavior of an entity, a location of
an entity, and a
geolocation of an entity.
[0428] In embodiments the party is selected from among a primary lender, a
secondary
lender, a lending syndicate, a corporate lender, a government lender, a bank
lender, a secured
lender, bond issuer, a bond purchaser, an unsecured lender, a guarantor, a
provider of
security, a borrower, a debtor, an underwriter, an inspector, an assessor, an
auditor, a
valuation professional, a government official, and an accountant.
[0429] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of
items of collateral and undertakes an action related to a loan to which the
collateral is subject.
[0430] In embodiments the loan-related action is selected from among offering
a loan,
accepting a loan, underwriting a loan, setting an interest rate for a loan,
deferring a payment
requirement, modifying an interest rate for a loan, validating title for
collateral, recording a
change in title, assessing the value of collateral, initiating inspection of
collateral, calling a
loan, closing a loan, setting terms and conditions for a loan, providing
notices required to be
provided to a borrower, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan.
[0431] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
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[0432] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0433] In embodiments the monitored entity is a set of collateral items that
is selected from
among a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual property,
an intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0434] In embodiments, provided herein is a smart contract system for
modifying a loan, the
system having a set of computational services. In embodiments, the platform or
system
includes (a) a set of data collection and monitoring services for monitoring a
set of entities
involved in a loan In embodiments the entities are located in a plurality of
different
jurisdictions; and (b) a set of smart contract services for managing a smart
lending contract,
wherein the set of smart contract services processes location information
about the entities
from the set of data collection and monitoring services and automatically
undertakes a loan-
related action for the loan based at least in part on the location
information.
[0435] In embodiments the loan-related action is selected from among offering
a loan,
accepting a loan, underwriting a loan, setting an interest rate for a loan,
deferring a payment
requirement, modifying an interest rate for a loan, validating title for
collateral, recording a
change in title, assessing the value of collateral, initiating inspection of
collateral, calling a
loan, closing a loan, setting terms and conditions for a loan, providing
notices required to be
provided to a borrower, foreclosing on property subject to a loan, and
modifying terms and
conditions for a loan.
[0436] In embodiments the smart contract is configured to process a set of
jurisdiction-
specific regulatory notice requirements and to provide an appropriate notice
to a borrower
based on location of at least one of the lender, the borrower, the funds
provided via the loan,
the repayment of the loan, and the collateral for the loan.
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[0437] In embodiments the smart contract is configured to process a set of
jurisdiction-
specific regulatory foreclosure requirements and to provide an appropriate
foreclosure notice
to a borrower based on jurisdiction of at least one of the lender, the
borrower, the funds
provided via the loan, the repayment of the loan, and the collateral for the
loan.
[0438] In embodiments the smart contract is configured to process a set of
jurisdiction-
specific rules for setting terms and conditions of the loan and to configure
the smart contract
based on the location of at least one of the borrower, the funds provided via
the loan, the
repayment of the loan, and the collateral for the loan.
[0439] In embodiments the smart contract is configured to set the interest
rate for the loan to
cause the loan to comply with maximum interest rate limitations applicable in
a jurisdiction.
[0440] In embodiments the change in interest rate is based on the condition of
a set of
collateral for the loan that is monitored by the set of data collection and
monitoring services.
[0441] In embodiments the change in interest rate is based on an attribute of
a party that is
monitored by the set of data collection and monitoring services.
[0442] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
[0443] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0444] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0445] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
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cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0446] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for a set of collateral based on
information from the
data collection and monitoring services.
[0447] In embodiments the valuation model is a jurisdiction-specific valuation
model that is
based on the jurisdiction of at least one of the lender, the borrower, the
delivery of funds
provided via loan, the payment of the loan and collateral for the loan.
[0448] In embodiments at least one of the terms and conditions for the loan is
based on the
valuation of a set of collateral for the loan that is monitored by the set of
data collection and
monitoring services.
[0449] In embodiments a set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0450] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0451] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0452] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0453] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
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[0454] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0455] Referring to Fig. 8, in embodiments a lending platform is provided
having a smart
contract that automatically restructures debt based on a monitored condition.
The lending
enablement platform 100 may include a debt restructuring solution 228 that may
include a set
of interfaces, workflows, and models (which may include, use or be enabled by
various
adaptive intelligent systems 158) and other components that are configured to
enable
automation of the restructuring of debt based on a set of conditions, which
may include smart
contract terms and conditions, marketplace conditions (of platform
marketplaces and/or
external marketplaces 188, conditions monitored by monitoring systems 164 and
data
collection systems 166, and the like (such as of entities 198, including
without limitation
parties 210, collateral 102 and assets 218, among others). For example, a user
of the debt
restructuring solution 228 may create, configure (such as using one or more
templates or
libraries), modify, set or otherwise handle (such as in a user interface of
the debt restructuring
solution 228) various rules, thresholds, procedures, workflows, model
parameters, and the
like that determine, or recommend, a debt restructuring action for a loan
based on one or
more events, conditions, states, actions, or the like, where restructuring may
be based on
various factors, such as prevailing market interest rates, interest rates
available to the lender
from secondary lenders, risk factors of the borrower (including predicted risk
based on one or
more predictive models using artificial intelligence 156), status of other
debt (such as new
debt of a borrower, elimination of debt of a borrower, or the like), condition
of collateral 102
or assets 218 used to secure or back a loan, state of a business or business
operation (e.g.,
receivables, payables, or the like), and many others. Restructuring may
include changes in
interest rate, changes in priority of secured parties, changes in collateral
102 or assets 218
used to back or secure debt, changes in parties, changes in guarantors,
changes in payment
schedule, changes in principal balance (e.g., including forgiveness or
acceleration of
payments), and others. In embodiments the debt restructuring solution 228 may
automatically recommend or set such rules, thresholds, actions, parameters and
the like
(optionally by learning to do so based on a training set of outcomes over
time), resulting in a
recommended restructuring plan, which may specify a series of actions required
to
accomplish a recommended restructuring, which may be automated and may be
involved
conditional execution of steps based on monitored conditions and/or smart
contract terms,
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which may be created, configured, and/or accounted for by the debt
restructuring plan.
Restructuring plans may be determined and executed based at least one part on
market factors
(such as competing interest rates offered by other lenders, values of
collateral, and the like) as
well as regulatory and/or compliance factors. Restructuring plans may be
generated and/or
executed for modifications of existing loans, for refinancing, for foreclosure
situations (e.g.,
changing from secured loan rates to unsecured loan rates), for bankruptcy or
insolvency
situations, for situations involving market changes (e.g., changes in
prevailing interest rates)
and others. In embodiments, adaptive intelligent systems 158, including
artificial intelligence
156 may be trained on a training set of restructuring activities by experts
and/or on outcomes
of restructuring actions to generate a set of predictions, classifications,
control instructions,
plans, models, or the like for automated creation, management and/or execution
of one or
more aspects of a restructuring plan.
[0456] In embodiments, provided herein is a smart contract system for
modifying a loan, the
system having a set of computational services. In embodiments, the platform or
system
includes (a) a set of data collection and monitoring services for monitoring a
set of entities
involved in a loan; and (b) a set of smart contract services for managing a
smart lending
contract, wherein the set of smart contract services processes information
from the set of data
collection and monitoring services and automatically restructures debt based
on a monitored
condition.
[0457] In embodiments the restructuring is based on the condition of a set of
collateral for the
loan that is monitored by the set of data collection and monitoring services.
[0458] In embodiments the restructuring is according to a set of rules that
are based on a
covenant of the loan, wherein the restructuring occurs upon an event that is
determined with
respect to at least one of the monitored entities that relates to the
covenant.
[0459] In embodiments the event is the failure of collateral for a loan to
exceed a required
fractional value of the remaining balance of the loan.
[0460] In embodiments the event is a default of the buyer with respect to a
loan covenant.
[0461] In embodiments the restructuring is based on an attribute of a party
that is monitored
by the set of data collection and monitoring services.
[0462] In embodiments the set of smart contract services further includes
services for
specifying terms and conditions of smart contracts that govern at least one of
loan terms and
conditions, loan-related events and loan-related activities.
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[0463] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0464] In embodiments the set of terms and conditions for the loan that are
specified and
managed by the set of smart contract services is selected from among a
principal amount of
debt, a balance of debt, a fixed interest rate, a variable interest rate, a
payment amount, a
payment schedule, a balloon payment schedule, a specification of collateral, a
specification of
substitutability of collateral, a party, a guarantee, a guarantor, a security,
a personal
guarantee, a lien, a duration, a covenant, a foreclose condition, a default
condition, and a
consequence of default.
[0465] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0466] In embodiments the platform or system may further include a set of
valuation services
that uses a valuation model to set a value for a set of collateral based on
information from the
data collection and monitoring services.
[0467] In embodiments the restructuring of the debt is based on the valuation
of a set of
collateral for the loan that is monitored by the set of data collection and
monitoring services.
[0468] In embodiments a set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
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[0469] In embodiments the set of valuation services includes artificial
intelligence services
that iteratively improve the valuation model based on outcome data relating to
transactions in
collateral.
[0470] In embodiments the set of valuation services further includes a set of
market value
data collection services that monitor and report on marketplace information
relevant to the
value of collateral.
[0471] In embodiments the set of market value data collection services
monitors pricing or
financial data for items that are similar to the collateral in at least one
public marketplace.
[0472] In embodiments a set of similar items for valuing an item of collateral
is constructed
using a similarity clustering algorithm based on the attributes of the
collateral.
[0473] In embodiments the attributes are selected from among a category of the
collateral, an
age of the collateral, a condition of the collateral, a history of the
collateral, a storage
condition of the collateral and a geolocation of the collateral.
[0474] Referring to Fig. 9, in embodiments a lending enablement platform 100
is provided
having a social network analytics application 204 for monitoring social media,
collecting data
and determining analytics for validating the reliability of a guarantee for a
loan. The lending
enablement platform 100 may include a guarantee and/or security monitoring
solution 230
that may include a set of interfaces, workflows, and models (which may
include, use or be
enabled by various adaptive intelligent systems 158) and other components that
are
configured to enable monitoring of a guarantee and/or security for a lending
transaction based
on a set of conditions, which may include smart contract terms and conditions,
marketplace
conditions (of platform marketplaces and/or external marketplaces 188,
conditions monitored
by monitoring systems 164 and data collection systems 166, and the like (such
as of entities
198, including without limitation parties 210, collateral 102 and assets 218,
among others).
For example, a user of the guarantee and/or security monitoring solution 230
may set (such as
in a user interface) rules, thresholds, model parameters, and the like that
determine, or
recommend, a monitoring plan for lending transaction such as based on risk
factors of the
borrower, risk factors of the lender, market risk factors, and/or risk factors
of collateral 102 or
assets 218 (including predicted risk based on one or more predictive models
using artificial
intelligence 156), or the lending enablement platform 100 may automatically
recommend or
set such rules, thresholds, parameters and the like (optionally by learning to
do so based on a
training set of outcomes over time). The guarantee and/or security monitoring
solution 230
may configure a set of social network analytics services 204 and/or other
monitoring systems
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164 and/or data collection systems 166 to search, parse, extract, and process
data from one or
more social networks, website, or the like, such as ones that may contain
information about
collateral 102 or assets 218 (e.g., photos that show a vehicle, boat, or other
personal property
of a party 210, photos of a home or other real property, photos or text that
describes activities
of a party 210 (including ones that indicate financial risk, physical risk,
health risk, or other
risk that may be relevant to the quality of the guarantor and/or the guarantee
for a payment
obligation and/or the ability of the borrower to repay a loan when due). For
example a photo
showing a borrower driving a regular passenger vehicle in off-road conditions
may be
flagged as indicating that the vehicle cannot be fully relied upon as
collateral for an
automobile loan that has a high remaining balance.
[0475] Thus, in embodiments, provided herein is a social network monitoring
system for
validating conditions of a guarantee for a loan. In embodiments, the platform
or system
includes (a) a set of social network data collection and monitoring services
by which data is
collected by a set of algorithms that are configured to monitor social network
information
about entities involved in a loan; and (b) an interface to the set of social
networking services
that enables configuration of parameters of the social network data collection
and monitoring
services to obtain information related to the condition of guarantee.
[0476] In embodiments the set of social network data collection and monitoring
services
obtains information about the financial condition of an entity that is the
guarantor for the
loan.
[0477] In embodiments the financial condition is determined at least in part
based on
information contained in a social network about the entity selected from among
a publicly
stated valuation of the entity, a set of property owned by the entity as
indicated by public
records, a valuation of a set of property owned by the entity, a bankruptcy
condition of an
entity, a foreclosure status of an entity, a contractual default status of an
entity, a regulatory
violation status of an entity, a criminal status of an entity, an export
controls status of an
entity, an embargo status of an entity, a tariff status of an entity, a tax
status of an entity, a
credit report of an entity, a credit rating of an entity, a website rating of
an entity, a set of
customer reviews for a product of an entity, a social network rating of an
entity, a set of
credentials of an entity, a set of referrals of an entity, a set of
testimonials for an entity, a set
of behavior of an entity, a location of an entity, and a geolocation of an
entity.
[0478] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
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loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0479] In embodiments the platform or system may further include an interface
of the social
network data collection and monitoring services In embodiments the data
collection and
monitoring service is configured to obtain information about condition of a
set of collateral
for the loan, wherein the set of collateral items is selected from among a
vehicle, a ship, a
plane, a building, a home, real estate property, undeveloped land, a farm, a
crop, a municipal
facility, a warehouse, a set of inventory, a commodity, a security, a
currency, a token of
value, a ticket, a cryptocurrency, a consumable item, an edible item, a
beverage, a precious
metal, an item of jewelry, a gemstone, an item of intellectual property, an
intellectual
property right, a contractual right, an antique, a fixture, an item of
furniture, an item of
equipment, a tool, an item of machinery, and an item of personal property.
[0480] In embodiments condition of collateral includes condition attributes
selected from the
group consisting of the quality of the collateral, the condition of the
collateral, the status of
title to the collateral, the status of possession of the collateral, the
status of a lien on the
collateral, a new or used status of item, a type of item, a category of item,
a specification of
an item, a product feature set of an item, a model of item, a brand of item, a
manufacturer of
item, a status of item, a context of item, a state of item, a value of item, a
storage location of
item, a geolocation of item, an age of item, a maintenance history of item, a
usage history of
item, an accident history of an item, a fault history of an item, an ownership
of an item, an
ownership history of an item, a price of a type of item, a value of a type of
item, an
assessment of an item, and a valuation of an item.
[0481] In embodiments the interface is a graphical user interface configured
to enable a
workflow by which a human user enters parameters to establish the social
network data
collection and monitoring request.
[0482] In embodiments the platform or system may further include a set of
smart contract
services that administer a smart lending contract, wherein the smart contract
services process
information from the set of social network data collection and monitoring
services and
automatically undertake an action related to the loan.
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[0483] In embodiments the action is at least one of a foreclosure action, a
lien administration
action, an interest-rate setting action, a default initiation action, a
substitution of collateral,
and a calling of the loan.
[0484] In embodiments the platform or system may further include a robotic
process
automation system that is trained, based on a training set of interactions of
human users with
the interface to the set of social network data collection and monitoring
services, to configure
a data collection and monitoring action based on a set of attributes of a
loan.
[0485] In embodiments the attributes of the loan are obtained from a set of
smart contract
services that manage the loan.
[0486] In embodiments the robotic process automation system is configured to
be iteratively
trained and improved based on a set of outcomes from a set of social network
data collection
and monitoring requests.
[0487] In embodiments training includes training the robotic process
automation system to
determine a set of domains to which the social network data collection and
monitoring
services will applied.
[0488] In embodiments training includes training the robotic process
automation system to
configure the content of a social network data collection and monitoring
search.
[0489] Referring still to Fig. 9, in embodiments a lending platform is
provided having an
Internet of Things data collection and monitoring system for validating
reliability of a
guarantee for a loan. The guarantee and/or security monitoring solution 230
may include the
capability to use data from, and configure collection activities by, a set of
Internet of Things
services 208 (which may include various IoT devices, edge devices, edge
computation and
processing capabilities, and the like as described in connection with various
embodiments),
such as ones that monitor various entities 198 and their environments involved
in lending
transactions.
[0490] In embodiments, provided herein is a monitoring system for validating
conditions of a
guarantee for a loan. For example, a set of algorithms may be configured to
initiate data
collection by IoT devices, to manage data collection, and the like such as
based on the
conditions referenced above, including conditions that relate to risk factors
of the borrower or
lender, market risk factors, physical risk factors, or the like. For example,
an IoT system may
be configured to capture video or images of a home during periods of bad
weather, such as to
determine whether the home is at risk of a flood, wind damage, or the like, in
order to
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confirm whether the home can be predicted to serve as adequate collateral for
a home loan, a
line of credit, or other lending transaction.
[0491] In embodiments, the platform or system includes (a) a set of Internet
of Things data
collection and monitoring services by which data is collected by a set of
algorithms that are
configured to monitor Internet of Things information collected from and about
entities
involved in a loan; and (b) an interface to the set of Internet of Things data
collection and
monitoring services that enables configuration of parameters of the social
network data
collection and monitoring services to obtain information related to the
condition of guarantee.
[0492] In embodiments the set of Internet of Things data collection and
monitoring services
obtains information about the financial condition of an entity that is the
guarantor for the
loan.
[0493] In embodiments the financial condition is determined at least in part
based on
information collected by an Internet of Things device about the entity
selected from among a
publicly stated valuation of the entity, a set of property owned by the entity
as indicated by
public records, a valuation of a set of property owned by the entity, a
bankruptcy condition of
an entity, a foreclosure status of an entity, a contractual default status of
an entity, a
regulatory violation status of an entity, a criminal status of an entity, an
export controls status
of an entity, an embargo status of an entity, a tariff status of an entity, a
tax status of an entity,
a credit report of an entity, a credit rating of an entity, a website rating
of an entity, a set of
customer reviews for a product of an entity, a social network rating of an
entity, a set of
credentials of an entity, a set of referrals of an entity, a set of
testimonials for an entity, a set
of behavior of an entity, a location of an entity, and a geolocation of an
entity.
[0494] In embodiments the loan is of at least one type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0495] In embodiments the platform or system may further include an interface
of the set of
Internet of Things data collection and monitoring services In embodiments the
set of data
collection and monitoring services is configured to obtain information about
condition of a
set of collateral for the loan, wherein the set of collateral items is
selected from among a
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vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a farm, a
crop, a municipal facility, a warehouse, a set of inventory, a commodity, a
security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, an item of
intellectual property,
an intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0496] In embodiments condition of collateral includes condition attributes
selected from the
group consisting of the quality of the collateral, the condition of the
collateral, the status of
title to the collateral, the status of possession of the collateral, the
status of a lien on the
collateral, a new or used status of item, a type of item, a category of item,
a specification of
an item, a product feature set of an item, a model of item, a brand of item, a
manufacturer of
item, a status of item, a context of item, a state of item, a value of item, a
storage location of
item, a geolocation of item, an age of item, a maintenance history of item, a
usage history of
item, an accident history of an item, a fault history of an item, an ownership
of an item, an
ownership history of an item, a price of a type of item, a value of a type of
item, an
assessment of an item, and a valuation of an item.
[0497] In embodiments the interface is a graphical user interface configured
to enable a
workflow by which a human user enters parameters to establish an Internet of
Things data
collection and monitoring services monitoring action.
[0498] In embodiments the platform or system may further include a set of
smart contract
services that administer a smart lending contract, wherein the set of smart
contract services
process information from the set of Internet of Things data collection and
monitoring services
and automatically undertakes an action related to the loan.
[0499] In embodiments the action is at least one of a foreclosure action, a
lien administration
action, an interest-rate setting action, a default initiation action, a
substitution of collateral,
and a calling of the loan.
[0500] In embodiments the platform or system may further include a robotic
process
automation system that is trained, based on a training set of interactions of
human users with
the interface to the set of Internet of Things data collection and monitoring
services, to
configure a data collection and monitoring action based on a set of attributes
of a loan.
[0501] In embodiments the attributes of the loan are obtained from a set of
smart contract
services that manage the loan.
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[0502] In embodiments the robotic process automation system is configured to
be iteratively
trained and improved based on a set of outcomes from a set of Internet of
Things data
collection and monitoring services activities.
[0503] In embodiments training includes training the robotic process
automation system to
determine a set of domains to which the Internet of Things data collection and
monitoring
services will applied.
[0504] In embodiments training includes training the robotic process
automation system to
configure the content of Internet of Things data collection and monitoring
services activities.
[0505] Referring to Fig. 10, in embodiments a lending platform is provided
having a robotic
process automation system (RPA) 154 for negotiation of a set of terms and
conditions for a
loan. The RPA system 154 may provide automation for one or more aspects of a
negotiation
solution 232 that enables automated negotiation and/or provides a
recommendation or plan
for a negotiation relevant to a lending transaction. The negotiation solution
232 and/or RPA
system 154 for negotiation may include a set of interfaces, workflows, and
models (which
may include, use or be enabled by various adaptive intelligent systems 158)
and other
components that are configured to enable automation of one or more aspects of
a negotiation
of one or more terms and conditions of a lending transaction, such as based on
a set of
conditions, which may include smart contract terms and conditions, marketplace
conditions
(of platform marketplaces and/or external marketplaces 188, conditions
monitored by
monitoring systems 164 and data collection systems 166, and the like (such as
of entities 198,
including without limitation parties 210, collateral 102 and assets 218, among
others). For
example, a user of the negotiation solution 232 may create, configure (such as
using one or
more templates or libraries), modify, set or otherwise handle (such as in a
user interface of
the negotiation solution 232 and/or RPA system 154) various rules, thresholds,
conditional
procedures, workflows, model parameters, and the like that determine, or
recommend, a
negotiation action or plan for a lending transaction negotiation based on one
or more events,
conditions, states, actions, or the like, where the negotiation plan may be
based on various
factors, such as prevailing market interest rates, interest rates available to
the lender from
secondary lenders, risk factors of the borrower, the lender, one or more
guarantors, market
risk factors and the like (including predicted risk based on one or more
predictive models
using artificial intelligence 156), status of debt, condition of collateral
102 or assets 218 used
to secure or back a loan, state of a business or business operation (e.g.,
receivables, payables,
or the like), conditions of parties 210 (such as net worth, wealth, debt,
location, and other
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conditions), behaviors of parties (such as behaviors indicating preferences,
behaviors
indicating negotiation styles), and many others. Negotiation may include
negotiation of
lending transaction terms and conditions, debt restructuring, foreclosure
activities, setting
interest rates, changes in interest rate, changes in priority of secured
parties, changes in
collateral 102 or assets 218 used to back or secure debt, changes in parties,
changes in
guarantors, changes in payment schedule, changes in principal balance (e.g.,
including
forgiveness or acceleration of payments), and many other transactions or terms
and
conditions. In embodiments the negotiation solution 232 may automatically
recommend or
set rules, thresholds, actions, parameters and the like (optionally by
learning to do so based
on a training set of outcomes over time), resulting in a recommended
negotiation plan, which
may specify a series of actions required to accomplish a recommended or
desired outcome of
negotiation (such as within a range of acceptable outcomes), which may be
automated and
may involve conditional execution of steps based on monitored conditions
and/or smart
contract terms, which may be created, configured, and/or accounted for by the
negotiation
plan. Negotiation plans may be determined and executed based at least one part
on market
factors (such as competing interest rates offered by other lenders, values of
collateral, and the
like) as well as regulatory and/or compliance factors. Negotiation plans may
be generated
and/or executed for creation of new loans, for creation of guarantees and
security, for
secondary loans, for modifications of existing loans, for refinancing, for
foreclosure
situations (e.g., changing from secured loan rates to unsecured loan rates),
for bankruptcy or
insolvency situations, for situations involving market changes (e.g., changes
in prevailing
interest rates) and others. In embodiments, adaptive intelligent systems 158,
including
artificial intelligence 156 may be trained on a training set of negotiation
activities by experts
and/or on outcomes of negotiation actions to generate a set of predictions,
classifications,
control instructions, plans, models, or the like for automated creation,
management and/or
execution of one or more aspects of a negotiation plan.
[0506] In embodiments, provided herein is a robotic process automation system
for
negotiating a loan. In embodiments, the platform or system includes (a) a set
of data
collection and monitoring services for collecting a training set of
interactions among entities
for a set of loan transactions; (b) an artificial intelligence system that is
trained on the training
set of interactions to classify a set of loan negotiation actions; and (c) a
robotic process
automation system that is trained on a set of loan transaction interactions
and a set of loan
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transaction outcomes to negotiate the terms and conditions of a loan on behalf
of a party to a
loan.
[0507] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0508] In embodiments the entities are a set of parties to a loan transaction.
[0509] In embodiments the set of parties is selected from among a primary
lender, a
secondary lender, a lending syndicate, a corporate lender, a government
lender, a bank lender,
a secured lender, bond issuer, a bond purchaser, an unsecured lender, a
guarantor, a provider
of security, a borrower, a debtor, an underwriter, an inspector, an assessor,
an auditor, a
valuation professional, a government official, and an accountant.
[0510] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0511] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of lending processes.
[0512] In embodiments upon completion of negotiation a smart contract for a
loan is
automatically configured by a set of smart contract services based on the
outcome of the
negotiation.
[0513] In embodiments at least one of an outcome and a negotiating event of
the negotiation
is recorded in a distributed ledger associated with the loan.
[0514] In embodiments the loan is of a type selected from among an auto loan,
an inventory
loan, a capital equipment loan, a bond for performance, a capital improvement
loan, a
building loan, a loan backed by an account receivable, an invoice finance
arrangement, a
factoring arrangement, a pay day loan, a refund anticipation loan, a student
loan, a syndicated
loan, a title loan, a home loan, a venture debt loan, a loan of intellectual
property, a loan of a
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contractual claim, a working capital loan, a small business loan, a farm loan,
a municipal
bond, and a subsidized loan.
[0515] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0516] In embodiments, provided herein is a robotic process automation system
for
negotiating refinancing of a loan. In embodiments, the platform or system
includes (a) a set
of data collection and monitoring services for collecting a training set of
interactions between
entities for a set of loan refinancing activities; an artificial intelligence
system that is trained
on the training set of interactions to classify a set of loan refinancing
actions; and (c) a
robotic process automation system that is trained on a set of loan refinancing
interactions and
a set of loan refinancing outcomes to undertake a loan refinancing activity on
behalf of a
party to a loan.
[0517] In embodiments the loan refinancing activity includes initiating an
offer to refinance,
initiating a request to refinance, configuring a refinancing interest rate,
configuring a
refinancing payment schedule, configuring a refinancing balance, configuring
collateral for a
refinancing, managing use of proceeds of a refinancing, removing or placing a
lien associated
with a refinancing, verifying title for a refinancing, managing an inspection
process,
populating an application, negotiating terms and conditions for a refinancing
and closing a
refinancing.
[0518] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0519] In embodiments the entities are a set of parties to a loan transaction.
[0520] In embodiments the set of parties is selected from among a primary
lender, a
secondary lender, a lending syndicate, a corporate lender, a government
lender, a bank lender,
a secured lender, bond issuer, a bond purchaser, an unsecured lender, a
guarantor, a provider
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of security, a borrower, a debtor, an underwriter, an inspector, an assessor,
an auditor, a
valuation professional, a government official, and an accountant.
[0521] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0522] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of lending processes.
[0523] In embodiments upon completion of a refinancing process a smart
contract for a
refinance loan is automatically configured by a set of smart contract services
based on the
outcome of the refinancing activity.
[0524] In embodiments at least one of an outcome and an event of the
refinancing is recorded
in a distributed ledger associated with the refinancing loan.
[0525] In embodiments the loan is of a type selected from among an auto loan,
an inventory
loan, a capital equipment loan, a bond for performance, a capital improvement
loan, a
building loan, a loan backed by an account receivable, an invoice finance
arrangement, a
factoring arrangement, a pay day loan, a refund anticipation loan, a student
loan, a syndicated
loan, a title loan, a home loan, a venture debt loan, a loan of intellectual
property, a loan of a
contractual claim, a working capital loan, a small business loan, a farm loan,
a municipal
bond, and a subsidized loan.
[0526] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0527] Referring to Fig. 11, in embodiments a lending platform is provided
having a robotic
process automation system for loan collection. The RPA system 154 may provide
automation for one or more aspects of a collection solution 238 that enables
automated
collection and/or provides a recommendation or plan for a collection activity
relevant to a
lending transaction. The collection solution 238 and/or RPA system 154 for
collection may
include a set of interfaces, workflows, and models (which may include, use or
be enabled by
various adaptive intelligent systems 158) and other components that are
configured to enable
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automation of one or more aspects of a collection action of one or more terms
and conditions
of a collection process for a lending transaction, such as based on a set of
conditions, which
may include smart contract terms and conditions, marketplace conditions (of
platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets 218, among others). For
example, a user of
the collection solution 238 may create, configure (such as using one or more
templates or
libraries), modify, set or otherwise handle (such as in a user interface of
the collection
solution 238 and/or RPA system 154) various rules, thresholds, conditional
procedures,
workflows, model parameters, and the like that determine, or recommend, a
collection action
or plan for a lending transaction or loan monitoring solution based on one or
more events,
conditions, states, actions, or the like, where the collection plan may be
based on various
factors, such as the status of payments, the status of the borrower, the
status of collateral 102
or assets 218, risk factors of the borrower, the lender, one or more
guarantors, market risk
factors and the like (including predicted risk based on one or more predictive
models using
artificial intelligence 156), status of debt, condition of collateral 102 or
assets 218 used to
secure or back a loan, state of a business or business operation (e.g.,
receivables, payables, or
the like), conditions of parties 210 (such as net worth, wealth, debt,
location, and other
conditions), behaviors of parties (such as behaviors indicating preferences,
behaviors
indicating how borrowers respond to communication styles, communication
cadence, and the
like), and many others. Collection may include collection with respect to
loans,
communications to encourage payments, and the like. In embodiments the
collection solution
238 may automatically recommend or set rules, thresholds, actions, parameters
and the like
(optionally by learning to do so based on a training set of outcomes over
time), resulting in a
recommended collection plan, which may specify a series of actions required to
accomplish a
recommended or desired outcome of collection (such as within a range of
acceptable
outcomes), which may be automated and may involve conditional execution of
steps based on
monitored conditions and/or smart contract terms, which may be created,
configured, and/or
accounted for by the collection plan. Collection plans may be determined and
executed based
at least one part on market factors (such as competing interest rates offered
by other lenders,
values of collateral, and the like) as well as regulatory and/or compliance
factors. Collection
plans may be generated and/or executed for creation of new loans, for
secondary loans, for
modifications of existing loans, for refinancing, for foreclosure situations
(e.g., changing
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from secured loan rates to unsecured loan rates), for bankruptcy or insolvency
situations, for
situations involving market changes (e.g., changes in prevailing interest
rates) and others. In
embodiments, adaptive intelligent systems 158, including artificial
intelligence 156 may be
trained on a training set of collection activities by experts and/or on
outcomes of collection
actions to generate a set of predictions, classifications, control
instructions, plans, models, or
the like for automated creation, management and/or execution of one or more
aspects of a
collection plan.
[0528] In embodiments, provided herein is a robotic process automation system
for handling
collection of a loan. In embodiments, the platform or system includes (a) a
set of data
collection and monitoring services for collecting a training set of
interactions among entities
for a set of loan transactions that involve collection of a set of payments
for a set of loans; (b)
an artificial intelligence system that is trained on the training set of
interactions to classify a
set of loan collection actions; and (c) a robotic process automation system
that is trained on a
set of loan transaction interactions and a set of loan collection outcomes to
undertake a loan
collection action on behalf of a party to a loan.
[0529] In embodiments the loan collection action undertaken by the robotic
process
automation system is selected from among initiation of a collection process,
referral of a loan
to an agent for collection, configuration of a collection communication,
scheduling of a
collection communication, configuration of content for a collection
communication,
configuration of an offer to settle a loan, termination of a collection
action, deferral of a
collection action, configuration of an offer for an alternative payment
schedule, initiation of a
litigation, initiation of a foreclosure, initiation of a bankruptcy process, a
repossession
process, and placement of a lien on collateral.
[0530] In embodiments the set of loan collection outcomes is selected from
among a
response to a collection contact event, a payment of a loan, a default of the
borrower on a
loan, a bankruptcy of a borrower of a loan, an outcome of a collection
litigation, a financial
yield of a set of collection actions, a return on investment on collection and
a measure of
reputation of a party involved in collection.
[0531] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
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user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities. In
embodiments the entities are set of parties to a loan transaction. In
embodiments the set of
parties is selected from among a primary lender, a secondary lender, a lending
syndicate, a
corporate lender, a government lender, a bank lender, a secured lender, bond
issuer, a bond
purchaser, an unsecured lender, a guarantor, a provider of security, a
borrower, a debtor, an
underwriter, an inspector, an assessor, an auditor, a valuation professional,
a government
official, and an accountant.
[0532] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0533] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of lending processes.
[0534] In embodiments upon completion of negotiation of a collection process a
smart
contract for a loan is automatically configured by a set of smart contract
services based on the
outcome of the negotiation.
[0535] In embodiments at least one of a collection outcome and a collection
event is recorded
in a distributed ledger associated with the loan.
[0536] In embodiments the loan is of a type selected from among an auto loan,
an inventory
loan, a capital equipment loan, a bond for performance, a capital improvement
loan, a
building loan, a loan backed by an account receivable, an invoice finance
arrangement, a
factoring arrangement, a pay day loan, a refund anticipation loan, a student
loan, a syndicated
loan, a title loan, a home loan, a venture debt loan, a loan of intellectual
property, a loan of a
contractual claim, a working capital loan, a small business loan, a farm loan,
a municipal
bond, and a subsidized loan.
[0537] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
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[0538] Referring to Fig. 12, in embodiments a lending platform is provided
having a robotic
process automation system for consolidating a set of loans. The RPA system 154
may
provide automation for one or more aspects of a consolidation solution 240
that enables
automated consolidation and/or provides a recommendation or plan for a
consolidation
activity relevant to a lending transaction. The consolidation solution 240
and/or RPA system
154 for consolidation may include a set of interfaces, workflows, and models
(which may
include, use or be enabled by various adaptive intelligent systems 158) and
other components
that are configured to enable automation of one or more aspects of a
consolidation action or a
consolidation process for a lending transaction, such as based on a set of
conditions, which
may include smart contract terms and conditions, marketplace conditions (of
platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets 218, among others). For
example, a user of
the consolidation solution 240 may create, configure (such as using one or
more templates or
libraries), modify, set or otherwise handle (such as in a user interface of
the consolidation
solution 240 and/or RPA system 154) various rules, thresholds, conditional
procedures,
workflows, model parameters, and the like that determine, or recommend, a
consolidation
action or plan for a lending transaction or a set of loans based on one or
more events,
conditions, states, actions, or the like, where the consolidation plan may be
based on various
factors, such as the status of payments, interest rates of the set of loans,
prevailing interest
rates in a platform marketplace or external marketplace, the status of the
borrowers of a set of
loans, the status of collateral 102 or assets 218, risk factors of the
borrower, the lender, one or
more guarantors, market risk factors and the like (including predicted risk
based on one or
more predictive models using artificial intelligence 156), status of debt,
condition of
collateral 102 or assets 218 used to secure or back a set of loans, the state
of a business or
business operation (e.g., receivables, payables, or the like), conditions of
parties 210 (such as
net worth, wealth, debt, location, and other conditions), behaviors of parties
(such as
behaviors indicating preferences, behaviors indicating debt preferences), and
many others.
Consolidation may include consolidation with respect to terms and conditions
of sets of
loans, selection of appropriate loans, configuration of payment terms for
consolidated loans,
configuration of payoff plans for pre-existing loans, communications to
encourage
consolidation, and the like. In embodiments the consolidation solution 240 may
automatically recommend or set rules, thresholds, actions, parameters and the
like (optionally
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by learning to do so based on a training set of outcomes over time), resulting
in a
recommended consolidation plan, which may specify a series of actions required
to
accomplish a recommended or desired outcome of consolidation (such as within a
range of
acceptable outcomes), which may be automated and may involve conditional
execution of
steps based on monitored conditions and/or smart contract terms, which may be
created,
configured, and/or accounted for by the consolidation plan. Consolidation
plans may be
determined and executed based at least one part on market factors (such as
competing interest
rates offered by other lenders, values of collateral, and the like) as well as
regulatory and/or
compliance factors. Consolidation plans may be generated and/or executed for
creation of
new consolidated loans, for secondary loans related to consolidated loans, for
modifications
of existing loans related to consolidation, for refinancing terms of a
consolidated loan, for
foreclosure situations (e.g., changing from secured loan rates to unsecured
loan rates), for
bankruptcy or insolvency situations, for situations involving market changes
(e.g., changes in
prevailing interest rates) and others. In embodiments, adaptive intelligent
systems 158,
including artificial intelligence 156 may be trained on a training set of
consolidation activities
by experts and/or on outcomes of consolidation actions to generate a set of
predictions,
classifications, control instructions, plans, models, or the like for
automated creation,
management and/or execution of one or more aspects of a consolidation plan.
[0539] In embodiments, provided herein is a robotic process automation system
for
consolidating a set of loans. In embodiments, the platform or system includes
(a) a set of
data collection and monitoring services for collecting information about a set
of loans and for
collecting a training set of interactions between entities for a set of loan
consolidation
transactions; (b) an artificial intelligence system that is trained on the
training set of
interactions to classify a set of loans as candidates for consolidation; and
(c) a robotic process
automation system that is trained on a set of loan consolidation interactions
to manage
consolidation of at least a subset of the set of loans on behalf of a party to
the consolidation.
[0540] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
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[0541] In embodiments the set of loans that are classified as candidates for
consolidation are
determined based on a model that processes attributes of entities involved in
the set of loans,
wherein the attributes selected from among identity of a party, interest rate,
payment balance,
payment terms, payment schedule, type of loan, type of collateral, financial
condition of
party, payment status, condition of collateral, and value of collateral.
[0542] In embodiments managing consolidation includes managing at least one of
identification of loans from a set of candidate loans, preparation of a
consolidation offer,
preparation of a consolidation plan, preparation of content communicating a
consolidation
offer, scheduling a consolidation offer, communicating a consolidation offer,
negotiating a
modification of a consolidation offer, preparing a consolidation agreement,
executing a
consolidation agreement, modifying collateral for a set of loans, handling an
application
workflow for consolidation, managing an inspection, managing an assessment,
setting an
interest rate, deferring a payment requirement, setting a payment schedule,
and closing a
consolidation agreement. In embodiments the entities are a set of parties to a
loan
transaction. In embodiments the set of parties is selected from among a
primary lender, a
secondary lender, a lending syndicate, a corporate lender, a government
lender, a bank lender,
a secured lender, bond issuer, a bond purchaser, an unsecured lender, a
guarantor, a provider
of security, a borrower, a debtor, an underwriter, an inspector, an assessor,
an auditor, a
valuation professional, a government official, and an accountant.
[0543] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0544] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of consolidation
processes. In
embodiments upon completion of negotiation a smart contract for a consolidated
loan is
automatically configured by a set of smart contract services based on the
outcome of the
negotiation. In embodiments at least one of an outcome and a negotiating event
of the
negotiation is recorded in a distributed ledger associated with the loan.
[0545] In embodiments the loan is of a type selected from among an auto loan,
an inventory
loan, a capital equipment loan, a bond for performance, a capital improvement
loan, a
building loan, a loan backed by an account receivable, an invoice finance
arrangement, a
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factoring arrangement, a pay day loan, a refund anticipation loan, a student
loan, a syndicated
loan, a title loan, a home loan, a venture debt loan, a loan of intellectual
property, a loan of a
contractual claim, a working capital loan, a small business loan, a farm loan,
a municipal
bond, and a subsidized loan.
[0546] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0547] Referring to Fig. 13, in embodiments a lending platform is provided
having a robotic
process automation system for managing a factoring transaction. The RPA system
154 may
provide automation for one or more aspects of a factoring solution 242 that
enables
automated factoring and/or provides a recommendation or plan for a factoring
activity
relevant to a lending transaction, such as one involving factoring of
receivables. The
factoring solution 242 and/or RPA system 154 for factoring may include a set
of interfaces,
workflows, and models (which may include, use or be enabled by various
adaptive intelligent
systems 158) and other components that are configured to enable automation of
one or more
aspects of a factoring action of one or more terms and conditions of a
factoring transaction,
such as based on a set of conditions, which may include smart contract terms
and conditions,
marketplace conditions (of platform marketplaces and/or external marketplaces
188,
conditions monitored by monitoring systems 164 and data collection systems
166, and the
like (such as of entities 198, including without limitation parties 210,
collateral 102 and assets
218, accounts receivable, and inventory, among others). For example, a user of
the factoring
solution 242 may create, configure (such as using one or more templates or
libraries), modify,
set or otherwise handle (such as in a user interface of the factoring solution
242 and/or RPA
system 154) various rules, thresholds, conditional procedures, workflows,
model parameters,
and the like that determine, or recommend, a factoring action or plan for a
factoring
transaction or monitoring solution based on one or more events, conditions,
states, actions, or
the like, where the factoring plan may be based on various factors, such as
the status of
receivables, the status of work-in-progress, the status of inventory, the
status of delivery
and/or shipment, the status of payments, the status of the borrower, the
status of collateral
102 or assets 218, risk factors of the borrower, the lender, one or more
guarantors, market
risk factors and the like (including predicted risk based on one or more
predictive models
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using artificial intelligence 156), status of debt, condition of collateral
102 or assets 218 used
to secure or back a loan, state of a business or business operation (e.g.,
receivables, payables,
or the like), conditions of parties 210 (such as net worth, wealth, debt,
location, and other
conditions), behaviors of parties (such as behaviors indicating preferences,
behaviors
indicating negotiation styles, and the like), and many others. Factoring may
include factoring
with respect to loans, communications to encourage payments, and the like. In
embodiments
the factoring solution 242 may automatically recommend or set rules,
thresholds, actions,
parameters and the like (optionally by learning to do so based on a training
set of outcomes
over time), resulting in a recommended factoring plan, which may specify a
series of actions
required to accomplish a recommended or desired outcome of factoring (such as
within a
range of acceptable outcomes), which may be automated and may involve
conditional
execution of steps based on monitored conditions and/or smart contract terms,
which may be
created, configured, and/or accounted for by the factoring plan. Factoring
plans may be
determined and executed based at least one part on market factors (such as
competing interest
rates or other terms and conditions offered by other lenders, values of
collateral, values of
accounts receivable, interest rates, and the like) as well as regulatory
and/or compliance
factors. Factoring plans may be generated and/or executed for creation of new
factoring
arrangements, for modifications of existing factoring arrangements, and
others. In
embodiments, adaptive intelligent systems 158, including artificial
intelligence 156 may be
trained on a training set of factoring activities by experts and/or on
outcomes of factoring
actions to generate a set of predictions, classifications, control
instructions, plans, models, or
the like for automated creation, management and/or execution of one or more
aspects of a
factoring plan.
[0548] In embodiments, provided herein is a robotic process automation system
for
consolidating a set of loans. In embodiments, the platform or system includes
(a) a set of
data collection and monitoring services for collecting information about
entities involved in a
set of factoring loans and for collecting a training set of interactions
between entities for a set
of factoring loan transactions; (b) an artificial intelligence system that is
trained on the
training set of interactions to classify the entities involved in the set of
factoring loans; and
(c) a robotic process automation system that is trained on the set of
factoring loan interactions
to manage a factoring loan.
[0549] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
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cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0550] In embodiments the artificial intelligence system uses a model that
processes
attributes of entities involved in the set of factoring loans, wherein the
attributes selected
from assets used for factoring, identity of a party, interest rate, payment
balance, payment
terms, payment schedule, type of loan, type of collateral, financial condition
of party,
payment status, condition of collateral, and value of collateral.
[0551] In embodiments the assets used for factoring include a set of accounts
receivable.
[0552] In embodiments managing a factoring loan includes managing at least one
of a set of
assets for factoring, identification of loans for factoring from a set of
candidate loans,
preparation of a factoring offer, preparation of a factoring plan, preparation
of content
communicating a factoring offer, scheduling a factoring offer, communicating a
factoring
offer, negotiating a modification of a factoring offer, preparing a factoring
agreement,
executing a factoring agreement, modifying collateral for a set of factoring
loans, handing
transfer of a set of accounts receivable, handling an application workflow for
factoring,
managing an inspection, managing an assessment of a set of assets to be
factored, setting an
interest rate, deferring a payment requirement, setting a payment schedule,
and closing a
factoring agreement.
[0553] In embodiments the entities are a set of parties to a loan transaction.
[0554] In embodiments the set of parties is selected from among a primary
lender, a
secondary lender, a lending syndicate, a corporate lender, a government
lender, a bank lender,
a secured lender, bond issuer, a bond purchaser, an unsecured lender, a
guarantor, a provider
of security, a borrower, a debtor, an underwriter, an inspector, an assessor,
an auditor, a
valuation professional, a government official, and an accountant.
[0555] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
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[0556] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of factoring
processes.
[0557] In embodiments upon completion of negotiation a smart contract for a
factoring loan
is automatically configured by a set of smart contract services based on the
outcome of the
negotiation.
[0558] In embodiments at least one of an outcome and a negotiating event of
the negotiation
is recorded in a distributed ledger associated with the loan.
[0559] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0560] Referring to Fig. 14, in embodiments a lending platform is provided
having a robotic
process automation system for brokering a loan. The loan may be, for example,
a mortgage
loan.
[0561] The RPA system 154 may provide automation for one or more aspects of a
brokering
solution 244 that enables automated brokering and/or provides a recommendation
or plan for
a brokering activity relevant to a lending transaction, such as for brokering
a set of mortgage
loans, home loans, lines of credit, automobile loans, construction loans, or
other loans of any
of the types described herein. The brokering solution 244 and/or RPA system
154 for
brokering may include a set of interfaces, workflows, and models (which may
include, use or
be enabled by various adaptive intelligent systems 158) and other components
that are
configured to enable automation of one or more aspects of a brokering action
or a brokering
process for a lending transaction, such as based on a set of conditions, which
may include
smart contract terms and conditions, marketplace conditions (of platform
marketplaces
and/or external marketplaces 188, conditions monitored by monitoring systems
164 and data
collection systems 166, and the like (such as of entities 198, including
without limitation
parties 210, collateral 102 and assets 218, among others, as well as of
interest rates, available
lenders, available terms and the like). For example, a user of the brokering
solution 244 may
create, configure (such as using one or more templates or libraries), modify,
set or otherwise
handle (such as in a user interface of the brokering solution 244 and/or RPA
system 154)
various rules, thresholds, conditional procedures, workflows, model
parameters, and the like
that determine, or recommend, a brokering action or plan for brokering a set
of loans of a
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given type or types based on one or more events, conditions, states, actions,
or the like, where
the brokering plan may be based on various factors, such as the interest rates
of the set of
loans available from various primary and secondary lenders, permitted
attributes of borrowers
(e.g., based on income, wealth, location, or the like) prevailing interest
rates in a platform
marketplace or external marketplace, the status of the borrowers of a set of
loans, the status or
other attributes of collateral 102 or assets 218, risk factors of the
borrower, the lender, one or
more guarantors, market risk factors and the like (including predicted risk
based on one or
more predictive models using artificial intelligence 156), status of debt,
condition of
collateral 102 or assets 218 available to secure or back a set of loans, the
state of a business or
business operation (e.g., receivables, payables, or the like), conditions of
parties 210 (such as
net worth, wealth, debt, location, and other conditions), behaviors of parties
(such as
behaviors indicating preferences, behaviors indicating debt preferences), and
many others.
Brokering may include brokering with respect to terms and conditions of sets
of loans,
selection of appropriate loans, configuration of payment terms for
consolidated loans,
configuration of payoff plans for pre-existing loans, communications to
encourage
borrowing, and the like. In embodiments the brokering solution 244 may
automatically
recommend or set rules, thresholds, actions, parameters and the like
(optionally by learning to
do so based on a training set of outcomes over time), resulting in a
recommended brokering
plan, which may specify a series of actions required to accomplish a
recommended or desired
outcome of brokering (such as within a range of acceptable outcomes), which
may be
automated and may involve conditional execution of steps based on monitored
conditions
and/or smart contract terms, which may be created, configured, and/or
accounted for by the
brokering plan. Brokering plans may be determined and executed based at least
one part on
market factors (such as competing interest rates offered by other lenders,
property values,
attributes of borrowers, values of collateral, and the like) as well as
regulatory and/or
compliance factors. Brokering plans may be generated and/or executed for
creation of new
loans, for secondary loans, for modifications of existing loans, for
refinancing terms, for
situations involving market changes (e.g., changes in prevailing interest
rates or property
values) and others. In embodiments, adaptive intelligent systems 158,
including artificial
intelligence 156 may be trained on a training set of brokering activities by
experts and/or on
outcomes of brokering actions to generate a set of predictions,
classifications, control
instructions, plans, models, or the like for automated creation, management
and/or execution
of one or more aspects of a brokering plan.
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[0562] In embodiments, provided herein is a robotic process automation system
for
automating brokering of a mortgage. In embodiments, the platform or system
includes (a) a
set of data collection and monitoring services for collecting information
about entities
involved in a set of mortgage loan activities and for collecting a training
set of interactions
between entities for a set of mortgage loan transactions; (b) an artificial
intelligence system
that is trained on the training set of interactions to classify the entities
involved in the set of
mortgage loans; and (c) a robotic process automation system that is trained on
at least one of
the set of mortgage loan activities and the set of mortgage loan interactions
to broker a
mortgage loan.
[0563] In embodiments at least one of the set of mortgage loan activities and
the set of
mortgage loan interactions includes activities among marketing activity,
identification of a set
of prospective borrowers, identification of property, identification of
collateral, qualification
of borrower, title search, title verification, property assessment, property
inspection, property
valuation, income verification, borrower demographic analysis, identification
of capital
providers, determination of available interest rates, determination of
available payment terms
and conditions, analysis of existing mortgage, comparative analysis of
existing and new
mortgage terms, completion of application workflow, population of fields of
application,
preparation of mortgage agreement, completion of schedule to mortgage
agreement,
negotiation of mortgage terms and conditions with capital provider,
negotiation of mortgage
terms and conditions with borrower, transfer of title, placement of lien and
closing of
mortgage agreement.
[0564] In embodiments the set of data collection and monitoring services
includes services
selected from among a set of Internet of Things systems that monitor the
entities, a set of
cameras that monitor the entities, a set of software services that pull
information related to the
entities from publicly available information sites, a set of mobile devices
that report on
information related to the entities, a set of wearable devices worn by human
entities, a set of
user interfaces by which entities provide information about the entities and a
set of
crowdsourcing services configured to solicit and report information related to
the entities.
[0565] In embodiments the artificial intelligence system uses a model that
processes
attributes of entities involved in the set of mortgage loans, wherein the
attributes are selected
from properties that are subject to mortgages, assets used for collateral,
identity of a party,
interest rate, payment balance, payment terms, payment schedule, type of
mortgage, type of
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property, financial condition of party, payment status, condition of property,
and value of
property.
[0566] In embodiments managing a mortgage loan includes managing at least one
of a
property that is subject to a mortgage, identification of candidate mortgages
from a set of
borrower situations, preparation of a mortgage offer, preparation of content
communicating a
mortgage offer, scheduling a mortgage offer, communicating a mortgage offer,
negotiating a
modification of a mortgage offer, preparing a mortgage agreement, executing a
mortgage
agreement, modifying collateral for a set of mortgage loans, handing transfer
of a lien,
handling an application workflow, managing an inspection, managing an
assessment of a set
of assets to be subject to a mortgage, setting an interest rate, deferring a
payment
requirement, setting a payment schedule, and closing a mortgage agreement. In
embodiments
the entities are a set of parties to a loan transaction. In embodiments the
set of parties is
selected from among a primary lender, a secondary lender, a lending syndicate,
a corporate
lender, a government lender, a bank lender, a secured lender, bond issuer, a
bond purchaser,
an unsecured lender, a guarantor, a provider of security, a borrower, a
debtor, an underwriter,
an inspector, an assessor, an auditor, a valuation professional, a government
official, and an
accountant.
[0567] In embodiments the artificial intelligence system includes at least one
of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0568] In embodiments the robotic process automation is trained on a set of
interactions of
parties with a set of user interfaces involved in a set of mortgage-related
activities. In
embodiments upon completion of negotiation a smart contract for a mortgage
loan is
automatically configured by a set of smart contract services based on the
outcome of the
negotiation. In embodiments at least one of an outcome and a negotiating event
of the
negotiation is recorded in a distributed ledger associated with the loan. In
embodiments the
artificial intelligence system includes at least one of a machine learning
system, a model-
based system, a rule-based system, a deep learning system, a hybrid system, a
neural
network, a convolutional neural network, a feed forward neural network, a
feedback neural
network, a self-organizing map, a fuzzy logic system, a random walk system, a
random forest
system, a probabilistic system, a Bayesian system, and a simulation system.
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[0569] Referring to Fig. 15, in embodiments a lending platform is provided
having a
crowdsourcing and automated classification system for validating condition of
an issuer for a
bond. The RPA system 154 may provide automation for one or more aspects of a
bond
management solution 234 that enables automated bond management and/or provides
a
recommendation or plan for a bond management activity relevant to a bond
transaction, such
as for municipal bonds, corporate bonds, government bonds, or other bonds that
may be
backed by assets, collateral, or commitments of a bond issuer. The bond
management
solution 234 and/or RPA system 154 for bond management may include a set of
interfaces,
workflows, and models (which may include, use or be enabled by various
adaptive intelligent
systems 158) and other components that are configured to enable automation of
one or more
aspects of a bond management action or a management process for a bond
transaction, such
as based on a set of conditions, which may include smart contract terms and
conditions,
marketplace conditions (of platform marketplaces and/or external marketplaces
188,
conditions monitored by monitoring systems 164 and data collection systems
166, and the
like (such as of entities 198, including without limitation parties 210,
collateral 102 and assets
218, among others, as well as of interest rates, available lenders, available
terms and the like).
For example, a user of the bond management solution 234 may create, configure
(such as
using one or more templates or libraries), modify, set or otherwise handle
(such as in a user
interface of the bond management solution 234 and/or RPA system 154) various
rules,
thresholds, conditional procedures, workflows, model parameters, and the like
that determine,
or recommend, a bond management action or plan for management a set of bonds
of a given
type or types based on one or more events, conditions, states, actions, or the
like, where the
bond management plan may be based on various factors, such as the interest
rates available
from various primary and secondary lenders or issuers, permitted attributes of
issuers and
buyers (e.g., based on income, wealth, location, or the like) prevailing
interest rates in a
platform marketplace or external marketplace, the status of the issuers of a
set of bonds, the
status or other attributes of collateral 102 or assets 218, risk factors of
the issuer, one or more
guarantors, market risk factors and the like (including predicted risk based
on one or more
predictive models using artificial intelligence 156), status of debt,
condition of collateral 102
or assets 218 available to secure or back a set of bonds, the state of a
business or business
operation (e.g., receivables, payables, or the like), conditions of parties
210 (such as net
worth, wealth, debt, location, and other conditions), behaviors of parties
(such as behaviors
indicating preferences, behaviors indicating debt preferences), and many
others. Bond
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management may include management with respect to terms and conditions of sets
of bonds,
selection of appropriate bonds, communications to encourage transactions, and
the like. In
embodiments the bond management solution 234 may automatically recommend or
set rules,
thresholds, actions, parameters and the like (optionally by learning to do so
based on a
training set of outcomes over time), resulting in a recommended bond
management plan,
which may specify a series of actions required to accomplish a recommended or
desired
outcome of bond management (such as within a range of acceptable outcomes),
which may
be automated and may involve conditional execution of steps based on monitored
conditions
and/or smart contract terms, which may be created, configured, and/or
accounted for by the
bond management plan. Bond management plans may be determined and executed
based at
least one part on market factors (such as competing interest rates offered by
other issuers,
property values, attributes of issuers, values of collateral or assets, and
the like) as well as
regulatory and/or compliance factors. Bond management plans may be generated
and/or
executed for creation of new bonds, for secondary loans or transactions to
back bonds, for
modifications of existing bonds, for situations involving market changes
(e.g., changes in
prevailing interest rates or property values) and others. In embodiments,
adaptive intelligent
systems 158, including artificial intelligence 156 may be trained on a
training set of bond
management activities by experts and/or on outcomes of bond management actions
to
generate a set of predictions, classifications, control instructions, plans,
models, or the like for
automated creation, management and/or execution of one or more aspects of a
bond
management plan.
[0570] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
monitoring condition of an issuer for a bond. In embodiments, the platform or
system
includes (a) a set of crowdsourcing systems 520 for collecting information
about a set of
entities involved in a set of bond transactions; and (b) a condition
classifying system having a
model and a set of artificial intelligence services for classifying the
condition of the set of
issuers using information from the set of crowdsourcing services, wherein the
model is
trained using a training data set of outcomes related to the issuers.
[0571] In embodiments the set of entities includes entities among a set of
issuers, a set of
bonds, a set of parties, and a set of assets.
[0572] In embodiments a set of issuers includes at least one of a
municipality, a corporation,
a contractor, a government entity, a non-governmental entity, and a non-profit
entity.
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[0573] In embodiments the set of bonds includes at least one of a municipal
bond, a
government bond, a treasury bond, an asset-backed bond, and a corporate bond.
[0574] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a policy risk
condition, a financial health
condition, a physical defect condition, a physical health condition, an entity
risk condition
and an entity health condition.
[0575] In embodiments the set of crowdsourcing services enables a user
interface by which a
user may configure a crowdsourcing request for information relevant to the
condition about
the set of issuers.
[0576] In embodiments the platform or system may further include a set of
configurable data
collection and monitoring services for monitoring the issuers that includes at
least one of a set
of Internet of Things devices, a set of environmental condition sensors, a set
of social
network analytic services and a set of algorithms for querying network
domains.
[0577] In embodiments the set of configurable data collection and monitoring
services
monitors an environment selected from among a municipal environment, a
corporate
environment, a securities trading environment, a real property environment, a
commercial
facility, a warehousing facility, a transportation environment, a
manufacturing environment, a
storage environment, a home, and a vehicle.
[0578] In embodiments the set of bonds is backed by a set of assets.
[0579] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0580] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a debt transaction to which the
asset is related.
[0581] In embodiments the action is selected from among offering a debt
transaction,
underwriting a debt transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
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assessing the value of an asset, calling a loan, closing a transaction,
setting terms and
conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
assets, modifying terms and conditions, setting a rating for an entity,
syndicating debt, and
consolidating debt.
[0582] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0583] In embodiments the platform or system may further include an automated
bond
management system that manages an action related to the bond, wherein the
automated bond
management system is trained on a training set of bond management activities.
[0584] In embodiments the automated bond management system is trained on a set
of
interactions of parties with a set of user interfaces involved in a set of
bond transaction
activities.
[0585] In embodiments the set of bond transaction activities includes
activities among
offering a debt transaction, underwriting a debt transaction, setting an
interest rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating debt, and consolidating debt.
[0586] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of the issuer and a set of assets.
[0587] In embodiments reporting is on a set of assets that includes at least
one of a
municipal asset, a vehicle, a ship, a plane, a building, a home, real estate
property,
undeveloped land, a farm, a crop, a municipal facility, a warehouse, a set of
inventory, a
commodity, a security, a currency, a token of value, a ticket, a
cryptocurrency, a consumable
item, an edible item, a beverage, a precious metal, an item of jewelry, a
gemstone, intellectual
property, an intellectual property right, a contractual right, an antique, a
fixture, an item of
furniture, an item of equipment, a tool, an item of machinery, and an item of
personal
property.
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[0588] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0589] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
[0590] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0591] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the bond transaction.
[0592] In embodiments the smart contract services set terms and conditions for
the bond.
[0593] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the bond, a specification of substitutability of assets, a party, an
issuer, a purchaser,
a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a covenant, a
foreclose condition, a default condition, and a consequence of default.
[0594] In embodiments the lending platform is provided having a social network
monitoring
system with artificial intelligence for classifying a condition about a bond.
[0595] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
monitoring condition of an issuer for a bond. In embodiments, the platform or
system
includes (a) a set of social network analytics applications 204 for collecting
information
about a set of entities involved in a set of bond transactions; and (b) a
condition classifying
system having a model and a set of artificial intelligence services for
classifying the condition
of the set of issuers based on information from the set of social network
monitoring and
analytic services, wherein the model is trained using a training data set of
outcomes related to
the issuers.
[0596] In embodiments the set of entities includes entities among a set of
issuers, a set of
bonds, a set of parties, and a set of assets.
[0597] In embodiments a set of issuers includes at least one of a
municipality, a corporation,
a contractor, a government entity, a non-governmental entity, and a non-profit
entity.
[0598] In embodiments the set of bonds includes at least one of a municipal
bond, a
government bond, a treasury bond, an asset-backed bond, and a corporate bond.
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[0599] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a policy risk
condition, a financial health
condition, a physical defect condition, a physical health condition, an entity
risk condition
and an entity health condition.
[0600] In embodiments the set of social network monitoring and analytic
services enables a
user interface by which a user may configure a query for information about the
set of entities.
[0601] In embodiments the platform or system may further include a set of data
collection
and monitoring services for monitoring the entities that includes at least one
of a set of
Internet of Things devices, a set of environmental condition sensors, a set of
crowdsourcing
services, and a set of algorithms for querying network domains.
[0602] In embodiments the set of data collection and monitoring services
monitors an
environment selected from among a municipal environment, a corporate
environment, a
securities trading environment, a real property environment, a commercial
facility, a
warehousing facility, a transportation environment, a manufacturing
environment, a storage
environment, a home, and a vehicle.
[0603] In embodiments the set of bonds is backed by a set of assets. In
embodiments the set
of assets includes assets among municipal asset, a vehicle, a ship, a plane, a
building, a home,
real estate property, undeveloped land, a farm, a crop, a municipal facility,
a warehouse, a set
of inventory, a commodity, a security, a currency, a token of value, a ticket,
a cryptocurrency,
a consumable item, an edible item, a beverage, a precious metal, an item of
jewelry, a
gemstone, intellectual property, an intellectual property right, a contractual
right, an antique,
a fixture, an item of furniture, an item of equipment, a tool, an item of
machinery, and an
item of personal property.
[0604] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a bond transaction to which the
asset is related.
[0605] In embodiments the action is selected from among offering a bond
transaction,
underwriting a bond transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
assessing the value of an asset, calling a loan, closing a transaction,
setting terms and
conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
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assets, modifying terms and conditions, setting a rating for an entity,
syndicating bonds, and
consolidating bonds.
[0606] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0607] In embodiments the platform or system may further include an automated
bond
management system that manages an action related to the bond, wherein the
automated bond
management system is trained on a training set of bond management activities.
[0608] In embodiments the automated bond management system is trained on a set
of
interactions of parties with a set of user interfaces involved in a set of
bond transaction
activities.
[0609] In embodiments the set of bond transaction activities includes
activities among
offering a bond transaction, underwriting a bond transaction, setting an
interest rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating bonds, and consolidating bonds.
[0610] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of the issuer, a set of bonds, and a set of assets.
[0611] In embodiments reporting is on a set of assets that includes at least
one of a municipal
asset, a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0612] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
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[0613] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
[0614] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0615] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the bond transaction.
[0616] In embodiments the smart contract services set terms and conditions for
the bond.
[0617] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the bond, a specification of substitutability of assets, a party, an
issuer, a purchaser,
a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a covenant, a
foreclose condition, a default condition, and a consequence of default.
[0618] In embodiments a lending platform is provided having an Internet of
Things data
collection and monitoring system with artificial intelligence for classifying
a condition about
a bond.
[0619] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
monitoring condition of an issuer for a bond. In embodiments, the platform or
system
includes (a) a set of Internet of Things data collection and monitoring
services for collecting
information about a set of entities involved in a set of bond transactions;
and (b) a condition
classifying system having a model and a set of artificial intelligence
services for classifying
the condition of the set of issuers based on information from IoT data
collection services 208,
wherein the model is trained using a training data set of outcomes related to
the issuers.
[0620] In embodiments the set of entities includes entities among a set of
issuers, a set of
bonds, a set of parties, and a set of assets.
[0621] In embodiments a set of issuers includes at least one of a
municipality, a corporation,
a contractor, a government entity, a non-governmental entity, and a non-profit
entity.
[0622] In embodiments the set of bonds includes at least one of a municipal
bond, a
government bond, a treasury bond, an asset-backed bond, and a corporate bond.
[0623] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
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financial risk condition, a behavioral risk condition, a policy risk
condition, a financial health
condition, a physical defect condition, a physical health condition, an entity
risk condition
and an entity health condition.
[0624] In embodiments the set of Internet of Things data collection and
monitoring services
enables a user interface by which a user may configure a query for information
about the set
of entities.
[0625] In embodiments the platform or system may further include a set of
configurable data
collection and monitoring services for monitoring the entities that includes
at least one of a
set of social network analytic services, a set of environmental condition
sensors, a set of
crowdsourcing services, and a set of algorithms for querying network domains.
[0626] In embodiments the set of configurable data collection and monitoring
services
monitors an environment selected from among a municipal environment, a
corporate
environment, a securities trading environment, a real property environment, a
commercial
facility, a warehousing facility, a transportation environment, a
manufacturing environment, a
storage environment, a home, and a vehicle.
[0627] In embodiments the set of bonds is backed by a set of assets.
[0628] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0629] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a bond transaction to which the
asset is related.
[0630] In embodiments the action is selected from among offering a bond
transaction,
underwriting a bond transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
assessing the value of an asset, calling a loan, closing a transaction,
setting terms and
conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
assets, modifying terms and conditions, setting a rating for an entity,
syndicating bonds, and
consolidating bonds.
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[0631] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0632] In embodiments the platform or system may further include an automated
bond
management system that manages an action related to the bond, wherein the
automated bond
management system is trained on a training set of bond management activities.
[0633] In embodiments the automated bond management system is trained on a set
of
interactions of parties with a set of user interfaces involved in a set of
bond transaction
activities.
[0634] In embodiments the set of bond transaction activities includes
activities among
offering a bond transaction, underwriting a bond transaction, setting an
interest rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating bonds, and consolidating bonds.
[0635] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of the issuer, a set of bonds, and a set of assets.
[0636] In embodiments reporting is on a set of assets that includes at least
one of a municipal
asset, a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0637] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0638] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
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[0639] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0640] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the bond transaction.
[0641] In embodiments the smart contract services set terms and conditions for
the bond.
[0642] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the bond, a specification of substitutability of assets, a party, an
issuer, a purchaser,
a guarantee, a guarantor, a security, a personal guarantee, a lien, a
duration, a covenant, a
foreclose condition, a default condition, and a consequence of default.
[0643] In embodiments, provided herein is a platform, consisting of various
services,
components, modules, programs, systems, devices, algorithms, and other
elements, for
monitoring condition of an entity and managing debt related to the entity. In
embodiments,
the platform or system includes (a) a set of data collection and monitoring
services for
collecting information about entities involved in a set of debt transactions;
(b) a condition
classifying system having a model and a set of artificial intelligence
services for classifying
the condition of the set of entities, wherein the model is trained using a
training data set of
outcomes related to the entities; and
[0644] (c) an automated debt management system that manages an action related
to the debt,
wherein the automated debt management system is trained on a training set of
debt
management activities.
[0645] In embodiments the data collection and monitoring services includes at
least one of a
set of Internet of Things devices, a set of environmental condition sensors, a
set of
crowdsourcing services, a set of social network analytic services and a set of
algorithms for
querying network domains.
[0646] In embodiments the set of data collection and monitoring services
monitors an
environment selected from among a municipal environment, a corporate
environment, a
securities trading environment, a real property environment, a commercial
facility, a
warehousing facility, a transportation environment, a manufacturing
environment, a storage
environment, a home, and a vehicle.
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[0647] In embodiments the debt transaction is of a type selected from among an
auto loan, an
inventory loan, a capital equipment loan, a bond for performance, a capital
improvement
loan, a building loan, a loan backed by an account receivable, an invoice
finance
arrangement, a factoring arrangement, a pay day loan, a refund anticipation
loan, a student
loan, a syndicated loan, a title loan, a home loan, a venture debt loan, a
loan of intellectual
property, a loan of a contractual claim, a working capital loan, a small
business loan, a farm
loan, a municipal bond, and a subsidized loan.
[0648] In embodiments the entities involved in the set of debt transactions
include a set of
parties and a set of assets.
[0649] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0650] In embodiments the platform or system may further include a set of
sensors
positioned on at least one of the assets, on a container for the asset and on
a package for the
asset, the set of sensors configured to associate sensor information sensed by
the set of
sensors with a unique identifier for the asset and a set of blockchain
services for taking
information from the data collection and monitoring services and the set of
sensors and
storing the information in a blockchain, wherein access to the blockchain is
provided via a
secure access control interface for a party for a debt transaction involving
the asset.
[0651] In embodiments the set of sensors is selected from the group consisting
of image,
temperature, pressure, humidity, velocity, acceleration, rotational, torque,
weight, chemical,
magnetic field, electrical field, and position sensors.
[0652] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a debt transaction to which the
asset is related.
[0653] In embodiments the action is selected from among offering a debt
transaction,
underwriting a debt transaction, setting an interest rate, deferring a payment
requirement,
modifying an interest rate, validating title, managing inspection, recording a
change in title,
assessing the value of an asset, calling a loan, closing a transaction,
setting terms and
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conditions for a transaction, providing notices required to be provided,
foreclosing on a set of
assets, modifying terms and conditions, setting a rating for an entity,
syndicating debt, and
consolidating debt.
[0654] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0655] In embodiments the automated debt management system is trained on a set
of
interactions of parties with a set of user interfaces involved in a set of
debt transaction
activities.
[0656] In embodiments the set of debt transaction activities includes
activities among
offering a debt transaction, underwriting a debt transaction, setting an
interest rate, deferring
a payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating debt, and consolidating debt.
[0657] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of a set of assets.
[0658] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0659] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0660] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
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[0661] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0662] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the debt transaction.
[0663] In embodiments the smart contract services set terms and conditions for
the
transaction.
[0664] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of
collateral, a specification of substitutability of collateral, a party, a
guarantee, a guarantor, a
security, a personal guarantee, a lien, a duration, a covenant, a foreclose
condition, a default
condition, and a consequence of default.
[0665] Referring to Fig. 16, in embodiments a lending platform is provided
having a system
that varies the terms and conditions of loan based on a parameter monitored by
the IoT. The
loan may be a subsidized loan. The RPA system 154 may provide automation for
one or
more aspects of a loan management solution 248 that enables automated loan
management
and/or provides a recommendation or plan for a loan management activity
relevant to a loan
transaction, such as for personal loans, corporate loans, subsidized loans,
student loans, or
other loans, including ones that may be backed by assets, collateral, or
commitments of a
borrower. The loan management solution 248 and/or RPA system 154 for loan
management
may include a set of interfaces, workflows, and models (which may include, use
or be
enabled by various adaptive intelligent systems 158) and other components that
are
configured to enable automation of one or more aspects of a loan management
action or a
management process for a loan transaction, such as based on a set of
conditions, which may
include smart contract terms and conditions, marketplace conditions (of
platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets 218, among others, as well
as of interest rates,
available lenders, available terms and the like). For example, a user of the
loan management
solution 248 may create, configure (such as using one or more templates or
libraries), modify,
set or otherwise handle (such as in a user interface of the loan management
solution 248
and/or RPA system 154) various rules, thresholds, conditional procedures,
workflows, model
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parameters, and the like that determine, or recommend, a loan management
action or plan for
management a set of loans of a given type or types based on one or more
events, conditions,
states, actions, or the like, where the loan management plan may be based on
various factors,
such as the interest rates available from various primary and secondary
lenders or issuers,
permitted attributes of borrowers (e.g., based on income, wealth, location, or
the like)
prevailing interest rates in a platform marketplace or external marketplace,
the status of the
parties of a set of loans, the status or other attributes of collateral 102 or
assets 218, risk
factors of the borrower, one or more guarantors, market risk factors and the
like (including
predicted risk based on one or more predictive models using artificial
intelligence 156), status
of debt, condition of collateral 102 or assets 218 available to secure or back
a set of loans, the
state of a business or business operation (e.g., receivables, payables, or the
like), conditions
of parties 210 (such as net worth, wealth, debt, location, and other
conditions), behaviors of
parties (such as behaviors indicating preferences, behaviors indicating debt
preferences,
payment preferences, or communication preferences), and many others. Loan
management
may include management with respect to terms and conditions of sets of loans,
selection of
appropriate loans, communications to encourage transactions, and the like. In
embodiments
the loan management solution 248 may automatically recommend or set rules,
thresholds,
actions, parameters and the like (optionally by learning to do so based on a
training set of
outcomes over time), resulting in a recommended loan management plan, which
may specify
a series of actions required to accomplish a recommended or desired outcome of
loan
management (such as within a range of acceptable outcomes), which may be
automated and
may involve conditional execution of steps based on monitored conditions
and/or smart
contract terms, which may be created, configured, and/or accounted for by the
loan
management plan. Loan management plans may be determined and executed based at
least
one part on market factors (such as competing interest rates offered by other
issuers, property
values, attributes of issuers, values of collateral or assets, and the like)
as well as regulatory
and/or compliance factors. Loan management plans may be generated and/or
executed for
creation of new loans, for secondary loans or transactions to back loans, for
collection, for
consolidation, for foreclosure, for situations of bankruptcy of insolvency,
for modifications of
existing loans, for situations involving market changes (e.g., changes in
prevailing interest
rates or property values) and others. In embodiments, adaptive intelligent
systems 158,
including artificial intelligence 156 may be trained on a training set of loan
management
activities by experts and/or on outcomes of loan management actions to
generate a set of
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predictions, classifications, control instructions, plans, models, or the like
for automated
creation, management and/or execution of one or more aspects of a loan
management plan.
[0666] In embodiments, provided herein is a system for automating handling of
a subsidized
loan. In embodiments, the platform or system includes (a) a set of Internet of
Things data
collection and monitoring services for collecting information about a set of
entities involved
in a set of subsidized loan transactions; (b) a condition classifying system
having a model and
a set of artificial intelligence services for classifying a set of parameters
of the set of
subsidized loans involved in the transactions based on information from the
set of IoT data
collection services 208, wherein the model is trained using a training data
set of outcomes
related to subsidized loans; and (c) a set of smart contract for automatically
modifying the
terms and conditions of a subsidized loan based on the classified set of
parameters from the
condition classifying system.
[0667] In embodiments the set of entities includes entities among a set of
subsidized loans, a
set of parties, a set of subsidies, a set of guarantors, a set of subsidizing
parties, and a set of
collateral.
[0668] In embodiments a set of subsidizing parties includes at least one of a
municipality, a
corporation, a contractor, a government entity, a non-governmental entity, and
a non-profit
entity.
[0669] In embodiments the set of subsidized loans includes at least one of a
municipal
subsidized loan, a government subsidized loan, a student loan, an asset-backed
subsidized
loan, and a corporate subsidized loan.
[0670] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a contractual
performance condition, a
policy risk condition, a financial health condition, a physical defect
condition, a physical
health condition, an entity risk condition and an entity health condition.
[0671] In embodiments the loan is a student loan and the condition classifying
system
classifies at least one of the progress of a student toward a degree, the
participation of a
student in a non-profit activity, and the participation of the student in a
public interest
activity.
[0672] In embodiments the set of Internet of Things data collection and
monitoring services
enables a user interface by which a user may configure a query for information
about the set
of entities.
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[0673] In embodiments the platform or system may further include a set of
configurable data
collection and monitoring services for monitoring the entities that includes
at least one of a
set of social network analytic services, a set of environmental condition
sensors, a set of
crowdsourcing services, and a set of algorithms for querying network domains.
[0674] In embodiments the set of configurable data collection and monitoring
services
monitors an environment selected from among a municipal environment, an
educational
environment, a corporate environment, a securities trading environment, a real
property
environment, a commercial facility, a warehousing facility, a transportation
environment, a
manufacturing environment, a storage environment, a home, and a vehicle.
[0675] In embodiments the set of subsidized loans is backed by a set of
assets.
[0676] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0677] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a subsidized loan transaction to
which the asset is
related.
[0678] In embodiments the action is selected from among offering a subsidized
loan
transaction, underwriting a subsidized loan transaction, setting an interest
rate, deferring a
payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating subsidized loans, and consolidating subsidized loans.
[0679] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
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[0680] In embodiments the platform or system may further include an automated
subsidized
loan management system that manages an action related to the subsidized loan,
wherein the
automated subsidized loan management system is trained on a training set of
subsidized loan
management activities.
[0681] In embodiments the automated subsidized loan management system is
trained on a set
of interactions of parties with a set of user interfaces involved in a set of
subsidized loan
transaction activities.
[0682] In embodiments the set of subsidized loan transaction activities
includes activities
among offering a subsidized loan transaction, underwriting a subsidized loan
transaction,
setting an interest rate, deferring a payment requirement, modifying an
interest rate,
validating title, managing inspection, recording a change in title, assessing
the value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms and
conditions, setting a rating for an entity, syndicating subsidized loans, and
consolidating
subsidized loans.
[0683] In embodiments the platform or system may further include a set of
blockchain
services for recording the modified set of terms and conditions for the set of
subsidized loans
in a distributed ledger.
[0684] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of the issuer, a set of subsidized loans, and a set of assets.
[0685] In embodiments reporting is on a set of assets that includes at least
one of a municipal
asset, a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0686] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0687] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
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[0688] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0689] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the subsidized loan transaction.
[0690] In embodiments the smart contract services set terms and conditions for
the
subsidized loan.
[0691] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the subsidized loan, a specification of substitutability of assets,
a party, an issuer, a
purchaser, a guarantee, a guarantor, a security, a personal guarantee, a lien,
a duration, a
covenant, a foreclose condition, a default condition, and a consequence of
default.
[0692] In embodiments a lending platform is provided having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored in a social
network.
[0693] In embodiments, provided herein is a system for automating handling of
a subsidized
loan. In embodiments, the platform or system includes (a) a set of social
network analytic
data collection and monitoring services for collecting information about a set
of entities
involved in a set of subsidized loan transactions; (b) a condition classifying
system having a
model and a set of artificial intelligence services for classifying a set of
parameters of the set
of subsidized loans involved in the transactions based on information from the
set of social
network analytics applications 204 which include data collection, monitoring,
and analysis,
wherein the model is trained using a training data set of outcomes related to
subsidized loans;
and (c) a set of smart contract for automatically modifying the terms and
conditions of a
subsidized loan based on the classified set of parameters from the condition
classifying
system.
[0694] In embodiments the set of entities includes entities among a set of
subsidized loans, a
set of parties, a set of subsidies, a set of guarantors, a set of subsidizing
parties, and a set of
collateral.
[0695] In embodiments a set of subsidizing parties includes at least one of a
municipality, a
corporation, a contractor, a government entity, a non-governmental entity, and
a non-profit
entity.
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[0696] In embodiments the set of subsidized loans includes at least one of a
municipal
subsidized loan, a government subsidized loan, a student loan, an asset-backed
subsidized
loan, and a corporate subsidized loan.
[0697] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a contractual
performance condition, a
policy risk condition, a financial health condition, a physical defect
condition, a physical
health condition, an entity risk condition and an entity health condition.
[0698] In embodiments the loan is a student loan and the condition classifying
system
classifies at least one of the progress of a student toward a degree, the
participation of a
student in a non-profit activity, and the participation of the student in a
public interest
activity.
[0699] In embodiments the set of social network analytic data collection and
monitoring
services enables a user interface by which a user may configure a query for
information about
the set of entities and the social network analytic data collection and
monitoring services
initiates a set of algorithms that search and retrieve data from social
networks based on the
query.
[0700] In embodiments the platform or system may further include a set of
configurable data
collection and monitoring services for monitoring the entities that includes
at least one of a
set of Internet of Things services, a set of environmental condition sensors,
a set of
crowdsourcing services, and a set of algorithms for querying network domains.
[0701] In embodiments the set of configurable data collection and monitoring
services
monitors an environment selected from among a municipal environment, an
educational
environment, a corporate environment, a securities trading environment, a real
property
environment, a commercial facility, a warehousing facility, a transportation
environment, a
manufacturing environment, a storage environment, a home, and a vehicle.
[0702] In embodiments the set of subsidized loans is backed by a set of
assets.
[0703] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
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right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0704] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a subsidized loan transaction to
which the asset is
related.
[0705] In embodiments the action is selected from among offering a subsidized
loan
transaction, underwriting a subsidized loan transaction, setting an interest
rate, deferring a
payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating subsidized loans, and consolidating subsidized loans.
[0706] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0707] In embodiments the platform or system may further include an automated
subsidized
loan management system that manages an action related to the subsidized loan,
wherein the
automated subsidized loan management system is trained on a training set of
subsidized loan
management activities.
[0708] In embodiments the automated subsidized loan management system is
trained on a set
of interactions of parties with a set of user interfaces involved in a set of
subsidized loan
transaction activities.
[0709] In embodiments the set of subsidized loan transaction activities
includes activities
among offering a subsidized loan transaction, underwriting a subsidized loan
transaction,
setting an interest rate, deferring a payment requirement, modifying an
interest rate,
validating title, managing inspection, recording a change in title, assessing
the value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms and
conditions, setting a rating for an entity, syndicating subsidized loans, and
consolidating
subsidized loans.
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[0710] In embodiments the platform or system may further include a set of
blockchain
services for recording the modified set of terms and conditions for the set of
subsidized loans
in a distributed ledger.
[0711] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of a party, a set of subsidized loans, and a set of assets.
[0712] In embodiments reporting is on a set of assets that includes at least
one of a municipal
asset, a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0713] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0714] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
[0715] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
[0716] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the subsidized loan transaction.
[0717] In embodiments the smart contract services set terms and conditions for
the
subsidized loan.
[0718] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the subsidized loan, a specification of substitutability of assets,
a party, an issuer, a
purchaser, a guarantee, a guarantor, a security, a personal guarantee, a lien,
a duration, a
covenant, a foreclose condition, a default condition, and a consequence of
default.
[0719] In embodiments a lending platform is provided having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored by
crowdsourcing.
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[0720] In embodiments, provided herein is a system for automating handling of
a subsidized
loan. In embodiments, the platform or system includes (a) a set of
crowdsourcing systems
520 for collecting information about a set of entities involved in a set of
subsidized loan
transactions; (b) a condition classifying system having a model and a set of
artificial
intelligence services for classifying a set of parameters of the set of
subsidized loans involved
in the transactions based on information from the set of crowdsourcing
services, wherein the
model is trained using a training data set of outcomes related to subsidized
loans; and (c) a set
of smart contract for automatically modifying the terms and conditions of a
subsidized loan
based on the classified set of parameters from the condition classifying
system.
[0721] In embodiments the set of entities includes entities among a set of
subsidized loans, a
set of parties, a set of subsidies, a set of guarantors, a set of subsidizing
parties, and a set of
collateral.
[0722] In embodiments a set of subsidizing parties includes at least one of a
municipality, a
corporation, a contractor, a government entity, a non-governmental entity, and
a non-profit
entity.
[0723] In embodiments the set of subsidized loans includes at least one of a
municipal
subsidized loan, a government subsidized loan, a student loan, an asset-backed
subsidized
loan, and a corporate subsidized loan.
[0724] In embodiments the condition classified by the condition classifying
system is among
a default condition, a foreclosure condition, a condition indicating violation
of a covenant, a
financial risk condition, a behavioral risk condition, a contractual
performance condition, a
policy risk condition, a financial health condition, a physical defect
condition, a physical
health condition, an entity risk condition and an entity health condition.
[0725] In embodiments the loan is a student loan and the condition classifying
system
classifies at least one of the progress of a student toward a degree, the
participation of a
student in a non-profit activity, and the participation of the student in a
public interest
activity.
[0726] In embodiments the set of crowdsourcing services enables a user
interface by which a
user may configure a query for information about the set of entities and the
set of
crowdsourcing services automatically configures initiates a crowdsourcing
request based on
the query.
[0727] In embodiments the platform or system may further include a set of
configurable data
collection and monitoring services for monitoring the entities that includes
at least one of a
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set of Internet of Things services, a set of environmental condition sensors,
a set of social
network analytic services, and a set of algorithms for querying network
domains.
[0728] In embodiments the set of configurable data collection and monitoring
services
monitors an environment selected from among a municipal environment, an
educational
environment, a corporate environment, a securities trading environment, a real
property
environment, a commercial facility, a warehousing facility, a transportation
environment, a
manufacturing environment, a storage environment, a home, and a vehicle.
[0729] In embodiments the set of subsidized loans is backed by a set of
assets.
[0730] In embodiments the set of assets includes assets among municipal asset,
a vehicle, a
ship, a plane, a building, a home, real estate property, undeveloped land, a
farm, a crop, a
municipal facility, a warehouse, a set of inventory, a commodity, a security,
a currency, a
token of value, a ticket, a cryptocurrency, a consumable item, an edible item,
a beverage, a
precious metal, an item of jewelry, a gemstone, intellectual property, an
intellectual property
right, a contractual right, an antique, a fixture, an item of furniture, an
item of equipment, a
tool, an item of machinery, and an item of personal property.
[0731] In embodiments the platform or system may further include an automated
agent that
processes events relevant to at least one of the value, the condition and the
ownership of the
assets and undertakes an action related to a subsidized loan transaction to
which the asset is
related.
[0732] In embodiments the action is selected from among offering a subsidized
loan
transaction, underwriting a subsidized loan transaction, setting an interest
rate, deferring a
payment requirement, modifying an interest rate, validating title, managing
inspection,
recording a change in title, assessing the value of an asset, calling a loan,
closing a
transaction, setting terms and conditions for a transaction, providing notices
required to be
provided, foreclosing on a set of assets, modifying terms and conditions,
setting a rating for
an entity, syndicating subsidized loans, and consolidating subsidized loans.
[0733] In embodiments the artificial intelligence services include at least
one of a machine
learning system, a model-based system, a rule-based system, a deep learning
system, a hybrid
system, a neural network, a convolutional neural network, a feed forward
neural network, a
feedback neural network, a self-organizing map, a fuzzy logic system, a random
walk system,
a random forest system, a probabilistic system, a Bayesian system, and a
simulation system.
[0734] In embodiments the platform or system may further include an automated
subsidized
loan management system that manages an action related to the subsidized loan,
wherein the
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automated subsidized loan management system is trained on a training set of
subsidized loan
management activities.
[0735] In embodiments the automated subsidized loan management system is
trained on a set
of interactions of parties with a set of user interfaces involved in a set of
subsidized loan
transaction activities.
[0736] In embodiments the set of subsidized loan transaction activities
includes activities
among offering a subsidized loan transaction, underwriting a subsidized loan
transaction,
setting an interest rate, deferring a payment requirement, modifying an
interest rate,
validating title, managing inspection, recording a change in title, assessing
the value of an
asset, calling a loan, closing a transaction, setting terms and conditions for
a transaction,
providing notices required to be provided, foreclosing on a set of assets,
modifying terms and
conditions, setting a rating for an entity, syndicating subsidized loans, and
consolidating
subsidized loans.
[0737] In embodiments the platform or system may further include a set of
blockchain
services for recording the modified set of terms and conditions for the set of
subsidized loans
in a distributed ledger.
[0738] In embodiments the platform or system may further include a market
value data
collection service that monitors and reports on marketplace information
relevant to the value
of at least one of a party, a set of subsidized loans, and a set of assets.
[0739] In embodiments reporting is on a set of assets that includes at least
one of a municipal
asset, a vehicle, a ship, a plane, a building, a home, real estate property,
undeveloped land, a
farm, a crop, a municipal facility, a warehouse, a set of inventory, a
commodity, a security, a
currency, a token of value, a ticket, a cryptocurrency, a consumable item, an
edible item, a
beverage, a precious metal, an item of jewelry, a gemstone, intellectual
property, an
intellectual property right, a contractual right, an antique, a fixture, an
item of furniture, an
item of equipment, a tool, an item of machinery, and an item of personal
property.
[0740] In embodiments the market value data collection service monitors
pricing or financial
data for items that are similar to the assets in at least one public
marketplace.
[0741] In embodiments a set of similar items for valuing the assets is
constructed using a
similarity clustering algorithm based on the attributes of the assets.
[0742] In embodiments the attributes are selected from among a category of the
assets, asset
age, asset condition, asset history, asset storage, and geolocation of assets.
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[0743] In embodiments the platform or system may further include a set of
smart contract
services for managing a smart contract for the subsidized loan transaction.
[0744] In embodiments the smart contract services set terms and conditions for
the
subsidized loan.
[0745] In embodiments the set of terms and conditions for the debt transaction
that are
specified and managed by the set of smart contract services is selected from
among a
principal amount of debt, a balance of debt, a fixed interest rate, a variable
interest rate, a
payment amount, a payment schedule, a balloon payment schedule, a
specification of assets
that back the subsidized loan, a specification of substitutability of assets,
a party, an issuer, a
purchaser, a guarantee, a guarantor, a security, a personal guarantee, a lien,
a duration, a
covenant, a foreclose condition, a default condition, and a consequence of
default.
[0746] Referring to Fig. 17, in embodiments a lending platform is provided
having an
automated blockchain custody service and solution for managing a set of
custodial assets.
The RPA system 154 may provide automation for one or more aspects of a
custodial solution
1802 that enables automated custodial management and/or provides a
recommendation or
plan for a custodial activity relevant to a set of assets, such as ones
involved in or backing a
lending transaction or ones for which clients seek custodial for security or
administrative
purposes, such as for assets of any of the types described herein, including
cryptocurrencies
and other currencies, stock certificates and other evidence of ownership,
securities, and many
others. The custodial solution 1802 and/or RPA system 154 for handling
custodial activity
may include a set of interfaces, workflows, and models (which may include, use
or be
enabled by various adaptive intelligent systems 158) and other components that
are
configured to enable automation of one or more aspects of a custodial action
or a
management process for trust or custody of a set of assets 218, such as based
on a set of
conditions, which may include smart contract terms and conditions, marketplace
conditions
(of platform marketplaces and/or external marketplaces 188, conditions
monitored by
monitoring systems 164 and data collection systems 166, and the like (such as
of entities 198,
including without limitation parties 210, collateral 102 and assets 218, among
others, and the
like). For example, a user of the custodial solution 1802 may create,
configure (such as using
one or more templates or libraries), modify, set or otherwise handle (such as
in a user
interface of the custodial solution 1802 and/or RPA system 154) various rules,
thresholds,
conditional procedures, workflows, model parameters, and the like that
determine, or
recommend, a custodial action or plan for management a set of assets of a
given type or types
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based on one or more events, conditions, states, actions, status or the like,
where the custodial
plan may be based on various factors, such as the storage options available,
the basis for
retrieval of assets, the basis for transfer of ownership of assets, and the
like, condition of
assets 218 for which custodial services will be required, behaviors of parties
(such as
behaviors indicating preferences), and many others. Custodial services may
include
management with respect to terms and conditions of sets of assets, selection
of appropriate
terms and conditions for trust and custody, selection of parameters for
transfer of ownership,
selection and provision of storage, selection and provision of secure
infrastructure for data
storage, and others. In embodiments the custodial solution 1802 may
automatically
recommend or set rules, thresholds, actions, parameters and the like
(optionally by learning to
do so based on a training set of outcomes over time), resulting in a
recommended custodial
plan, which may specify a series of actions required to accomplish a
recommended or desired
outcome of custodial services (such as within a range of acceptable outcomes),
which may be
automated and may involve conditional execution of steps based on monitored
conditions
and/or smart contract terms, which may be created, configured, and/or
accounted for by the
custodial plan. Custodial plans may be determined and executed based at least
one part on
market factors (such as competing terms and conditions offered by other
custodians, property
values, attributes of clients, values of collateral or assets, costs of
physical storage, costs of
data storage, and the like) as well as regulatory and/or compliance factors.
In embodiments,
adaptive intelligent systems 158, including artificial intelligence 156 may be
trained on a
training set of custodial activities by experts and/or on outcomes of
custodial actions to
generate a set of predictions, classifications, control instructions, plans,
models, or the like for
automated creation, management and/or execution of one or more aspects of a
custodial plan.
In embodiments, actions with respect to custody of a set of assets may be
stored in a
blockchain 136, such as in a distributed ledger.
[0747] In embodiments, provided herein is a system for handling trust and
custody for a set
of assets. The platform or system may include (a) a set of asset
identification services for
identifying a set of assets for which a financial institution is responsible
for taking custody;
(b) a set of identity management services by which the financial institution
verifies identities
and credentials of a set of entities entitled to take action with respect to
the assets; and (c) set
of blockchain services wherein at least one of the set of assets and
identifying information for
the set of assets is stored in a blockchain and wherein events related to the
set of assets are
recorded in a distributed ledger.
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[0748] In embodiments the credentials include owner credentials, agent
credentials,
beneficiary credentials, trustee credentials, and custodian credentials.
[0749] In embodiments the events related to the set of assets include transfer
of title, death of
an owner, disability of an owner, bankruptcy of an owner, foreclosure,
placement of a lien,
use of assets as collateral, designation of a beneficiary, undertaking a loan
against assets,
providing a notice with respect to assets, inspection of assets, assessment of
assets, reporting
on assets for taxation purposes, allocation of ownership of assets, disposal
of assets, sale of
assets, purchase of assets, and designation of an ownership status.
[0750] In embodiments the platform or system further includes a set of data
collection and
monitoring services for monitoring at least one of the set of assets, a set of
entities, and a set
of events related to the assets.
[0751] In embodiments the set of entities includes at least one of an owner, a
beneficiary, an
agent, a trustee and a custodian.
[0752] In embodiments the platform or system further includes a set of smart
contract
services for managing the custody of the set of assets, wherein at least one
event related to the
set of assets is managed automatically by the smart contract based on a set of
terms and
conditions embodied in the smart contract and based on information collected
by the set of
data collection and monitoring services.
[0753] In embodiments the events related to the set of assets include transfer
of title, death of
an owner, disability of an owner, bankruptcy of an owner, foreclosure,
placement of a lien,
use of assets as collateral, designation of a beneficiary, undertaking a loan
against assets,
providing a notice with respect to assets, inspection of assets, assessment of
assets, reporting
on assets for taxation purposes, allocation of ownership of assets, disposal
of assets, sale of
assets, purchase of assets, and designation of an ownership status.
[0754] Referring to Fig. 18, in embodiments a lending platform is provided
having an
underwriting system for a loan with a set of data-integrated microservices
including data
collection and monitoring services, blockchain services, artificial
intelligence services, and
smart contract services for underwriting lending entities and transactions.
The RPA system
154 may provide automation for one or more aspects of an underwriting solution
122 that
enables automated underwriting and/or provides a recommendation or plan for a
underwriting
activity relevant to a loan transaction, such as for personal loans, corporate
loans, subsidized
loans, student loans, or other loans, including ones that may be backed by
assets, collateral, or
commitments of a borrower. The underwriting solution 122 and/or RPA system 154
for
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underwriting may include a set of interfaces, workflows, and models (which may
include, use
or be enabled by various adaptive intelligent systems 158) and other
components that are
configured to enable automation of one or more aspects of a underwriting
action or a
management process for a loan transaction, such as based on a set of
conditions, which may
include smart contract terms and conditions, marketplace conditions (of
platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets 218, among others, as well
as of interest rates,
available lenders, available terms and the like)). For example, a user of the
underwriting
solution 122 may create, configure (such as using one or more templates or
libraries), modify,
set or otherwise handle (such as in a user interface of the underwriting
solution 122 and/or
RPA system 154) various rules, thresholds, conditional procedures, workflows,
model
parameters, and the like that determine, or recommend, a underwriting action
or plan for
management a set of loans of a given type or types based on one or more
events, conditions,
states, actions, or the like, where the underwriting plan may be based on
various factors, such
as the interest rates available from various primary and secondary lenders or
issuers,
permitted attributes of borrowers (e.g., based on income, wealth, location, or
the like),
prevailing interest rates in a platform marketplace or external marketplace,
the status of the
parties of a set of loans, the status or other attributes of collateral 102 or
assets 218, risk
factors of the borrower, one or more guarantors, market risk factors and the
like (including
predicted risk based on one or more predictive models using artificial
intelligence 156), status
of debt, condition of collateral 102 or assets 218 available to secure or back
a set of loans, the
state of a business or business operation (e.g., receivables, payables, or the
like), conditions
of parties 210 (such as net worth, wealth, debt, location, and other
conditions), behaviors of
parties (such as behaviors indicating preferences, behaviors indicating debt
preferences,
payment preferences, or communication preferences), and many others.
Underwriting may
include management with respect to terms and conditions of sets of loans,
selection of
appropriate loans, communications relevant to underwriting processes, and the
like. In
embodiments the underwriting solution 122 may automatically recommend or set
rules,
thresholds, actions, parameters and the like (optionally by learning to do so
based on a
training set of outcomes over time), resulting in a recommended underwriting
plan, which
may specify a series of actions required to accomplish a recommended or
desired outcome of
underwriting (such as within a range of acceptable outcomes), which may be
automated and
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may involve conditional execution of steps based on monitored conditions
and/or smart
contract terms, which may be created, configured, and/or accounted for by the
underwriting
plan. Underwriting plans may be determined and executed based at least one
part on market
factors (such as competing interest rates offered by other issuers, property
values, borrower
behavior, demographic trends, payment trends, attributes of issuers, values of
collateral or
assets, and the like) as well as regulatory and/or compliance factors.
Underwriting plans may
be generated and/or executed for new loans, for secondary loans or
transactions to back loans,
for collection, for consolidation, for foreclosure, for situations of
bankruptcy of insolvency,
for modifications of existing loans, for situations involving market changes
(e.g., changes in
prevailing interest rates or property values), for foreclosure activities, and
others. In
embodiments, adaptive intelligent systems 158, including artificial
intelligence 156 may be
trained on a training set of underwriting activities by experts and/or on
outcomes of
underwriting actions to generate a set of predictions, classifications,
control instructions,
plans, models, or the like for automated creation, management and/or execution
of one or
more aspects of a underwriting plan. In embodiments events and outcomes of
underwriting
may be recorded in a blockchain 136, such as in a distributed ledger, for
secure access and
retrieval by authorized users. Adaptive intelligent systems 158 may, such as
using various
artificial intelligence 156 or expert systems disclosed herein and in the
documented
incorporated by reference herein, may improve or automated one or more aspects
of
underwriting, such as by training a model, a neural net, a deep learning
system, or the like
based on a training set of expert interactions and/or a training set of
outcomes from
underwriting activities.
[0755] Referring to Fig. 19, in embodiments a lending platform is provided
having a loan
marketing system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services and
smart contract
services for marketing a loan to a set of prospective parties. The lending
enablement
platform 100 may enable one or more aspects of a loan marketing solution 2002
that enables
automated loan marketing and/or provides a recommendation or plan for a loan
marketing
activity relevant to a loan transaction, such as for personal loans, corporate
loans, subsidized
loans, student loans, or other loans, including ones that may be backed by
assets, collateral, or
commitments of a borrower. The loan marketing solution 2002 (which in
embodiments may
include or use an RPA system 154 configured for loan marketing) may include a
set of
interfaces, workflows, and models (which may include, use or be enabled by
various adaptive
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intelligent systems 158) and other components that are configured to enable
automation of
one or more aspects of a loan marketing action or a management process for a
loan
transaction, such as based on a set of conditions, which may include smart
contract terms and
conditions (which may be configured, e.g., for a marketed set of loans),
available capital for
lending, regulatory factors, marketplace conditions (of platform marketplaces
and/or external
marketplaces 188, conditions monitored by monitoring systems 164 and data
collection
systems 166, and the like (such as of entities 198, including without
limitation parties 210,
collateral 102 and assets 218, among others, as well as of interest rates,
available lenders,
available terms and the like)), and others. For example, a user of the loan
marketing solution
2002 may create, configure (such as using one or more templates or libraries),
modify, set or
otherwise handle (such as in a user interface of the loan marketing solution
2002 and/or RPA
system 154) various rules, thresholds, conditional procedures, workflows,
model parameters,
and the like that determine, or recommend, a loan marketing action or plan for
management a
set of loans of a given type or types based on one or more events, conditions,
states, actions,
or the like, where the loan marketing plan may be based on various factors,
such as the
interest rates available from various primary and secondary lenders or
issuers, returns on the
capital that is made available for loans, permitted or desired attributes of
borrowers (e.g.,
based on income, wealth, location, or the like), prevailing interest rates in
a platform
marketplace or external marketplace, the status of the parties of a set of
loans, the status or
other attributes of collateral 102 or assets 218, risk factors of the
borrower, one or more
guarantors, market risk factors and the like (including predicted risk based
on one or more
predictive models using artificial intelligence 156), status of debt,
condition of collateral 102
or assets 218 available to secure or back a set of loans, the state of a
business or business
operation (e.g., receivables, payables, or the like), conditions of parties
210 (such as net
worth, wealth, debt, location, and other conditions), behaviors of parties
(such as behaviors
indicating preferences, behaviors indicating debt preferences, payment
preferences, or
communication preferences), and many others. Loan marketing may include
management
with respect to terms and conditions of sets of loans, selection of
appropriate loans,
communications relevant to loan marketing processes, and the like. In
embodiments the loan
marketing solution 2002 may automatically recommend or set rules, thresholds,
actions,
parameters and the like (optionally by learning to do so based on a training
set of outcomes
over time), resulting in a recommended loan marketing plan, which may specify
a series of
actions required to accomplish a recommended or desired outcome of loan
marketing (such
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as within a range of acceptable outcomes), which may be automated and may
involve
conditional execution of steps based on monitored conditions and/or smart
contract terms,
which may be created, configured, and/or accounted for by the loan marketing
plan. Loan
marketing plans may be determined and executed based at least one part on
market factors
(such as competing interest rates offered by other issuers, property values,
borrower behavior,
demographic trends, payment trends, attributes of issuers, values of
collateral or assets, and
the like) as well as regulatory and/or compliance factors. Loan marketing
plans may be
generated and/or executed for new loans, for secondary loans or transactions
to back loans,
for collection, for consolidation, for foreclosure situations (e.g., as an
alternative to
foreclosure), for situations of bankruptcy of insolvency, for modifications of
existing loans,
for situations involving market changes (e.g., changes in prevailing interest
rates, available
capital, or property values), and others. In embodiments, adaptive intelligent
systems 158,
including artificial intelligence 156 may be trained on a training set of loan
marketing
activities by experts and/or on outcomes of loan marketing actions to generate
a set of
predictions, classifications, control instructions, plans, models, or the like
for automated
creation, management and/or execution of one or more aspects of a loan
marketing plan. In
embodiments events and outcomes of loan marketing may be recorded in a
blockchain 136,
such as in a distributed ledger, for secure access and retrieval by authorized
users. Adaptive
intelligent systems 158 may, such as using various artificial intelligence 156
or expert
systems disclosed herein and in the documented incorporated by reference
herein, may
improve or automated one or more aspects of entity rating, such as by training
a model, a
neural net, a deep learning system, or the like based on a training set of
expert interactions
and/or a training set of outcomes from loan marketing activities.
[0756] Referring to Fig. 20, in embodiments a lending platform is provided
having a rating
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
rating a set of loan-related entities. The lending enablement platform 100 may
enable one or
more aspects of an entity rating solution 206 that enables automated entity
rating and/or
provides a recommendation or plan for an entity rating activity relevant to a
loan transaction,
such as for personal loans, corporate loans, subsidized loans, student loans,
or other loans,
including ones that may be backed by assets, collateral, or commitments of a
borrower. The
entity rating solution 206 (which in embodiments may include or use an RPA
system 154
configured for entity rating) may include a set of interfaces, workflows, and
models (which
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may include, use or be enabled by various adaptive intelligent systems 158)
and other
components that are configured to enable automation of one or more aspects of
an entity
rating action or a rating process for a loan transaction, such as based on a
set of conditions,
attributes, events, or the like, which may include attributes of entities 198
(such as value,
quality, location, net worth, price, physical condition, health condition,
security, safety,
ownership and the like), smart contract terms and conditions (which may be
configured or
populated, e.g., based on ratings for a rated set of loans), regulatory
factors, marketplace
conditions (of platform marketplaces and/or external marketplaces 188,
conditions monitored
by monitoring systems 164 and data collection systems 166, and the like (such
as of entities
198, including without limitation parties 210, collateral 102 and assets 218,
among others, as
well as of interest rates, available lenders, available terms and the like)),
and others. For
example, a user of the entity rating solution 206 may create, configure (such
as using one or
more templates or libraries), modify, set or otherwise handle (such as in a
user interface of
the entity rating solution 206 and/or RPA system 154) various rules,
thresholds, conditional
procedures, workflows, model parameters, and the like that determine, or
recommend, an
entity rating action or plan for rating a set of loans of a given type or
types based on one or
more events, attributes, parameters, characteristics, conditions, states,
actions, or the like,
where the entity rating plan may be based on various factors (e.g., based on
income, wealth,
location, or the like or parties 210, relative to others, or based on
condition of collateral 102
or assets 218, or the like), prevailing conditions of a platform marketplace
or external
marketplace, the status of the parties of a set of loans, the status or other
attributes of
collateral 102 or assets 218, risk factors of the borrower, one or more
guarantors, market risk
factors and the like (including predicted risk based on one or more predictive
models using
artificial intelligence 156), status of debt, condition of collateral 102 or
assets 218 available to
secure or back a set of loans, the state of a business or business operation
(e.g., receivables,
payables, or the like), conditions of parties 210 (such as net worth, wealth,
debt, location, and
other conditions), behaviors of parties (such as behaviors indicating
preferences, behaviors
indicating debt preferences, payment preferences, or communication
preferences), and many
others. Entity rating may include management with respect to terms and
conditions of sets of
loans, selection of appropriate loans, communications relevant to entity
rating processes, and
the like. In embodiments the entity rating solution 206 may automatically
recommend or set
rules, thresholds, actions, parameters and the like (optionally by learning to
do so based on a
training set of outcomes over time), resulting in a recommended entity rating
plan, which
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may specify a series of actions required to accomplish a recommended or
desired outcome of
entity rating (such as within a range of acceptable outcomes), which may be
automated and
may involve conditional execution of steps based on monitored conditions
and/or smart
contract terms, which may be created, configured, and/or accounted for by the
entity rating
plan. Entity rating plans may be determined and executed based at least one
part on market
factors (such as competing interest rates offered by other issuers, property
values, borrower
behavior, demographic trends, payment trends, attributes of issuers, values of
collateral or
assets, and the like) as well as regulatory and/or compliance factors. Entity
rating plans may
be generated and/or executed for new loans, for secondary loans or
transactions to back loans,
for collection, for consolidation, for foreclosure situations (e.g., as an
alternative to
foreclosure), for situations of bankruptcy of insolvency, for modifications of
existing loans,
for situations involving market changes (e.g., changes in prevailing interest
rates, available
capital, or property values), and others. In embodiments, adaptive intelligent
systems 158,
including artificial intelligence 156 may be trained on a training set of
entity rating activities
by experts and/or on outcomes of entity rating actions to generate a set of
predictions,
classifications, control instructions, plans, models, or the like for
automated creation,
management and/or execution of one or more aspects of an entity rating plan.
In
embodiments events and outcomes of entity rating may be recorded in a
blockchain 136, such
as in a distributed ledger, for secure access and retrieval by authorized
users. Adaptive
intelligent systems 158 may, such as using various artificial intelligence 156
or expert
systems disclosed herein and in the documented incorporated by reference
herein, may
improve or automated one or more aspects of entity rating, such as by training
a model, a
neural net, a deep learning system, or the like based on a training set of
expert interactions
and/or a training set of outcomes from entity rating activities.
[0757] Referring to Fig. 21, in embodiments a lending platform is provided
having a
regulatory and/or compliance solution 142 with a set of data-integrated
microservices
including data collection and monitoring services, blockchain services,
artificial intelligence
services, and smart contract services for automatically facilitating
compliance with at least
one of a law, a regulation and a policy that applies to a lending transaction.
The lending
enablement platform 100 may enable one or more aspects of a regulatory and
compliance
solution 142 that enables automated regulatory and compliance and/or provides
a
recommendation or plan for a regulatory and compliance activity relevant to a
loan
transaction, such as for personal loans, corporate loans, subsidized loans,
student loans, or
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other loans, including ones that may be backed by assets, collateral, or
commitments of a
borrower. The regulatory and compliance solution 142 (which in embodiments may
include
or use an RPA system 154 configured for automating regulatory and compliance
activities
based on a training set of interactions by experts in regulatory and/or
compliance activities)
may include a set of interfaces, workflows, and models (which may include, use
or be
enabled by various adaptive intelligent systems 158) and other components that
are
configured to enable automation of one or more aspects of a regulatory and
compliance
action or a regulatory and/or compliance process for a loan transaction, such
as based on a set
of policies, regulations, laws, requirements, specifications, conditions,
attributes, events, or
the like, which may include attributes of or applicable to entities 198
involved in a lending
transaction and/or the terms and conditions of loans (including smart contract
terms and
conditions (which may be configured or populated, e.g., based on terms and
conditions that
are permitted for a given set of loans)), as well as various marketplace
conditions (of platform
marketplaces and/or external marketplaces 188, conditions monitored by
monitoring systems
164 and data collection systems 166, and the like (such as of entities 198,
including without
limitation parties 210, collateral 102 and assets LPX218, among others, as
well as of interest
rates, available lenders, available terms and the like)), and others. For
example, a user of the
regulatory and compliance solution 142 may create, configure (such as using
one or more
templates or libraries), modify, set or otherwise handle (such as in a user
interface of the
regulatory and/or compliance solution 142 and/or RPA system 154) various
rules, thresholds,
conditional procedures, workflows, model parameters, and the like that
determine, or
recommend, a regulatory and compliance action or plan for governing a set of
loans of a
given type or types based on one or more events, attributes, parameters,
characteristics,
conditions, states, actions, or the like, where the regulatory and compliance
plan may be
based on various factors (e.g., based on permitted interest rates, required
notices (e.g.,
regarding annualized percentage rate reporting), permitted borrowers (e.g.,
students for
federally subsidized student loans), permitted lenders, permitted issuers,
income (e.g., for
low-income loans), wealth (e.g., for loans that are permitted by policy to be
provided only to
adequately capitalized parties), location (e.g., for geographically governed
lending programs,
such as for municipal development), conditions of a platform marketplace or
external
marketplace (such as where loans are required to have interest rates that do
not exceed a
threshold that is calculated based on prevailing interest rates), the status
of the parties of a set
of loans, the status or other attributes of collateral 102 or assets 218, risk
factors of the
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borrower, one or more guarantors, market risk factors and the like (including
predicted risk
based on one or more predictive models using artificial intelligence 156),
status of debt,
condition of collateral 102 or assets 218 available to secure or back a set of
loans, the state of
a business or business operation (e.g., receivables, payables, or the like),
conditions of parties
210 (such as net worth, wealth, debt, location, and other conditions),
behaviors of parties
(such as behaviors indicating preferences, behaviors indicating debt
preferences, payment
preferences, or communication preferences), and many others. Regulatory and
compliance
may include governance with respect to terms and conditions of sets of loans,
selection of
appropriate loans, notices required to be provided, underwriting policies,
communications
relevant to regulatory and compliance processes, and the like. In embodiments
the regulatory
and compliance solution 142 may automatically recommend or set rules,
thresholds, actions,
parameters and the like (optionally by learning to do so based on a training
set of outcomes
over time), resulting in a recommended regulatory and compliance plan, which
may specify a
series of actions required to accomplish a recommended or desired outcome of
regulatory and
compliance (such as within a range of acceptable outcomes), which may be
automated and
may involve conditional execution of steps based on monitored conditions
and/or smart
contract terms, which may be created, configured, and/or accounted for by the
regulatory and
compliance plan. Regulatory and compliance plans may be determined and
executed based at
least one part on market factors (such as competing interest rates offered by
other issuers,
property values, borrower behavior, demographic trends, payment trends,
attributes of
issuers, values of collateral or assets, and the like) as well as regulatory
and/or compliance
factors. Regulatory and compliance plans may be generated and/or executed for
new loans,
for secondary loans or transactions to back loans, for collection, for
consolidation, for
foreclosure situations (e.g., as an alternative to foreclosure), for
situations of bankruptcy of
insolvency, for modifications of existing loans, for situations involving
market changes (e.g.,
changes in prevailing interest rates, available capital, or property values),
and others. In
embodiments, adaptive intelligent systems 158, including artificial
intelligence 156 may be
trained on a training set of regulatory and compliance activities by experts
and/or on
outcomes of regulatory and compliance actions to generate a set of
predictions,
classifications, control instructions, plans, models, or the like for
automated creation,
management and/or execution of one or more aspects of a regulatory and
compliance plan. In
embodiments events and outcomes of regulatory and compliance may be recorded
in a
blockchain 136, such as in a distributed ledger, for secure access and
retrieval by authorized
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users. Adaptive intelligent systems 158 may, such as using various artificial
intelligence 156
or expert systems disclosed herein and in the documented incorporated by
reference herein,
may improve or automate one or more aspects of regulatory and compliance, such
as by
training a model, a neural net, a deep learning system, or the like based on a
training set of
expert interactions and/or a training set of outcomes from regulatory and
compliance
activities.
[0758] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having an Internet
of Things and sensor platform for monitoring at least one of a set of assets
and a set of
collateral for a loan, a bond, or a debt transaction.
[0759] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a smart
contract and distributed ledger platform for managing at least one of
ownership of a set of
collateral and a set of events related to a set of collateral.
[0760] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a smart
contract system that automatically adjusts an interest rate for a loan based
on information
collected via at least one of an Internet of Things system, a crowdsourcing
system, a set of
social network analytic services and a set of data collection and monitoring
services.
[0761] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a
crowdsourcing system for obtaining information about at least one of a state
of a set of
collateral for a loan and a state of an entity relevant to a guarantee for a
loan.
[0762] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a smart
contract that automatically adjusts an interest rate for a loan based on at
least one of a
regulatory factor and a market factor for a specific jurisdiction.
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[0763] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a smart
contract that automatically restructures debt based on a monitored condition.
[0764] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a social
network monitoring system for validating the reliability of a guarantee for a
loan.
[0765] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having an Internet
of Things data collection and monitoring system for validating reliability of
a guarantee for a
loan.
[0766] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a robotic
process automation system for negotiation of a set of terms and conditions for
a loan.
[0767] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a robotic
process automation system for loan collection.
[0768] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a robotic
process automation system for consolidating a set of loans.
[0769] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a robotic
process automation system for managing a factoring loan.
[0770] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a robotic
process automation system for brokering a mortgage loan.
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[0771] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a
crowdsourcing and automated classification system for validating condition of
an issuer for a
bond.
[0772] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a social
network monitoring system with artificial intelligence for classifying a
condition about a
bond.
[0773] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having an Internet
of Things data collection and monitoring system with artificial intelligence
for classifying a
condition about a bond.
[0774] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored by the
IoT.
[0775] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored in a
social network.
[0776] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored by
crowdsourcing.
[0777] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
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smart contract services for handling lending entities and transactions and
having an
automated blockchain custody service for managing a set of custodial assets.
[0778] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having an
underwriting system for a loan with a set of data-integrated microservices
including data
collection and monitoring services, blockchain services, artificial
intelligence services, and
smart contract services for underwriting lending entities and transactions.
[0779] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a loan
marketing system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services and
smart contract
services for marketing a loan to a set of prospective parties.
[0780] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a rating
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
rating a set of loan-related entities.
[0781] In embodiments a lending platform is provided herein having a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services, and
smart contract services for handling lending entities and transactions and
having a
compliance system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services,
and smart contract
services for automatically facilitating compliance with at least one of a law,
a regulation and
a policy related to a lending transaction.
[0782] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a smart contract and
distributed ledger platform
for managing at least one of ownership of a set of collateral and a set of
events related to a set
of collateral.
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[0783] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a smart contract system that
automatically
adjusts an interest rate for a loan based on information collected via at
least one of an Internet
of Things system, a crowdsourcing system, a set of social network analytic
services and a set
of data collection and monitoring services.
[0784] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a crowdsourcing system for
obtaining
information about at least one of a state of a set of collateral for a loan
and a state of an entity
relevant to a guarantee for a loan.
[0785] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a smart contract that
automatically adjusts an
interest rate for a loan based on at least one of a regulatory factor and a
market factor for a
specific jurisdiction.
[0786] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a smart contract that
automatically restructures
debt based on a monitored condition.
[0787] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a social network monitoring
system for
validating the reliability of a guarantee for a loan.
[0788] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having an Internet of Things data
collection and
monitoring system for validating reliability of a guarantee for a loan.
[0789] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a robotic process automation
system for
negotiation of a set of terms and conditions for a loan.
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[0790] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a robotic process automation
system for loan
collection.
[0791] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a robotic process automation
system for
consolidating a set of loans.
[0792] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a robotic process automation
system for
managing a factoring loan.
[0793] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a robotic process automation
system for
brokering a mortgage loan.
[0794] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a crowdsourcing and automated
classification
system for validating condition of an issuer for a bond.
[0795] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a social network monitoring
system with
artificial intelligence for classifying a condition about a bond.
[0796] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having an Internet of Things data
collection and
monitoring system with artificial intelligence for classifying a condition
about a bond.
[0797] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a system that varies the terms
and conditions of
a subsidized loan based on a parameter monitored by the IoT.
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[0798] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a system that varies the terms
and conditions of
a subsidized loan based on a parameter monitored in a social network.
[0799] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a system that varies the terms
and conditions of
a subsidized loan based on a parameter monitored by crowdsourcing.
[0800] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having an automated blockchain custody
service for
managing a set of custodial assets.
[0801] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having an underwriting system for a
loan with a set of
data-integrated microservices including data collection and monitoring
services, blockchain
services, artificial intelligence services, and smart contract services for
underwriting lending
entities and transactions.
[0802] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a loan marketing system with a
set of data-
integrated microservices including data collection and monitoring services,
blockchain
services, artificial intelligence services and smart contract services for
marketing a loan to a
set of prospective parties.
[0803] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a rating system with a set of
data-integrated
microservices including data collection and monitoring services, blockchain
services,
artificial intelligence services, and smart contract services for rating a set
of loan-related
entities.
[0804] In embodiments a lending platform is provided herein having an Internet
of Things
and sensor platform for monitoring at least one of a set of assets and a set
of collateral for a
loan, a bond, or a debt transaction and having a compliance system with a set
of data-
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integrated microservices including data collection and monitoring services,
blockchain
services, artificial intelligence services, and smart contract services for
automatically
facilitating compliance with at least one of a law, a regulation and a policy
related to a
lending transaction.
[0805] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a smart contract
system that
automatically adjusts an interest rate for a loan based on information
collected via at least one
of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services.
[0806] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a crowdsourcing system
for obtaining
information about at least one of a state of a set of collateral for a loan
and a state of an entity
relevant to a guarantee for a loan.
[0807] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a smart contract that
automatically
adjusts an interest rate for a loan based on at least one of a regulatory
factor and a market
factor for a specific jurisdiction.
[0808] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a smart contract that
automatically
restructures debt based on a monitored condition.
[0809] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a social network
monitoring system for
validating the reliability of a guarantee for a loan.
[0810] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having an Internet of Things
data collection and
monitoring system for validating reliability of a guarantee for a loan.
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[0811] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a robotic process
automation system for
negotiation of a set of terms and conditions for a loan.
[0812] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a robotic process
automation system for
loan collection.
[0813] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a robotic process
automation system for
consolidating a set of loans.
[0814] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a robotic process
automation system for
managing a factoring loan.
[0815] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a robotic process
automation system for
brokering a mortgage loan.
[0816] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a crowdsourcing and
automated
classification system for validating condition of an issuer for a bond.
[0817] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a social network
monitoring system with
artificial intelligence for classifying a condition about a bond.
[0818] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having an Internet of Things
data collection and
monitoring system with artificial intelligence for classifying a condition
about a bond.
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[0819] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a system that varies
the terms and
conditions of a subsidized loan based on a parameter monitored by the IoT.
[0820] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a system that varies
the terms and
conditions of a subsidized loan based on a parameter monitored in a social
network.
[0821] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a system that varies
the terms and
conditions of a subsidized loan based on a parameter monitored by
crowdsourcing.
[0822] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having an automated
blockchain custody service
for managing a set of custodial assets.
[0823] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having an underwriting system
for a loan with a
set of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services, and smart contract
services for
underwriting lending entities and transactions.
[0824] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a loan marketing
system with a set of
data-integrated microservices including data collection and monitoring
services, blockchain
services, artificial intelligence services and smart contract services for
marketing a loan to a
set of prospective parties.
[0825] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a rating system with a
set of data-
integrated microservices including data collection and monitoring services,
blockchain
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services, artificial intelligence services, and smart contract services for
rating a set of loan-
related entities.
[0826] In embodiments a lending platform is provided herein having a smart
contract and
distributed ledger platform for managing at least one of ownership of a set of
collateral and a
set of events related to a set of collateral and having a compliance system
with a set of data-
integrated microservices including data collection and monitoring services,
blockchain
services, artificial intelligence services, and smart contract services for
automatically
facilitating compliance with at least one of a law, a regulation and a policy
related to a
lending transaction.
[0827] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
crowdsourcing
system for obtaining information about at least one of a state of a set of
collateral for a loan
and a state of an entity relevant to a guarantee for a loan.
[0828] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
smart contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction.
[0829] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
smart contract that
automatically restructures debt based on a monitored condition.
[0830] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
social network
monitoring system for validating the reliability of a guarantee for a loan.
[0831] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
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one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having an
Internet of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan.
[0832] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
robotic process
automation system for negotiation of a set of terms and conditions for a loan.
[0833] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
robotic process
automation system for loan collection.
[0834] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
robotic process
automation system for consolidating a set of loans.
[0835] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
robotic process
automation system for managing a factoring loan.
[0836] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
robotic process
automation system for brokering a mortgage loan.
[0837] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
crowdsourcing and
automated classification system for validating condition of an issuer for a
bond.
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[0838] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
social network
monitoring system with artificial intelligence for classifying a condition
about a bond.
[0839] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having an
Internet of Things
data collection and monitoring system with artificial intelligence for
classifying a condition
about a bond.
[0840] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
system that varies
the terms and conditions of a subsidized loan based on a parameter monitored
by the IoT.
[0841] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
system that varies
the terms and conditions of a subsidized loan based on a parameter monitored
in a social
network.
[0842] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
system that varies
the terms and conditions of a subsidized loan based on a parameter monitored
by
crowdsourcing.
[0843] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having an
automated
blockchain custody service for managing a set of custodial assets.
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[0844] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having an
underwriting
system for a loan with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services,
and smart contract
services for underwriting lending entities and transactions.
[0845] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
loan marketing
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services and smart
contract services for
marketing a loan to a set of prospective parties.
[0846] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
rating system with
a set of data-integrated microservices including data collection and
monitoring services,
blockchain services, artificial intelligence services, and smart contract
services for rating a set
of loan-related entities.
[0847] In embodiments a lending platform is provided herein having a smart
contract system
that automatically adjusts an interest rate for a loan based on information
collected via at least
one of an Internet of Things system, a crowdsourcing system, a set of social
network analytic
services and a set of data collection and monitoring services and having a
compliance system
with a set of data-integrated microservices including data collection and
monitoring services,
blockchain services, artificial intelligence services, and smart contract
services for
automatically facilitating compliance with at least one of a law, a regulation
and a policy
related to a lending transaction.
[0848] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a smart
contract that
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automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction.
[0849] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a smart
contract that
automatically restructures debt based on a monitored condition.
[0850] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a social
network monitoring
system for validating the reliability of a guarantee for a loan.
[0851] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having an Internet
of Things data
collection and monitoring system for validating reliability of a guarantee for
a loan.
[0852] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a robotic
process automation
system for negotiation of a set of terms and conditions for a loan.
[0853] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a robotic
process automation
system for loan collection.
[0854] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a robotic
process automation
system for consolidating a set of loans.
[0855] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a robotic
process automation
system for managing a factoring loan.
[0856] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
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state of an entity relevant to a guarantee for a loan and having a robotic
process automation
system for brokering a mortgage loan.
[0857] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a
crowdsourcing and
automated classification system for validating condition of an issuer for a
bond.
[0858] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a social
network monitoring
system with artificial intelligence for classifying a condition about a bond.
[0859] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having an Internet
of Things data
collection and monitoring system with artificial intelligence for classifying
a condition about
a bond.
[0860] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored by the IoT.
[0861] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored in a social
network.
[0862] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a system that
varies the terms
and conditions of a subsidized loan based on a parameter monitored by
crowdsourcing.
[0863] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having an automated
blockchain
custody service for managing a set of custodial assets.
[0864] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
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state of an entity relevant to a guarantee for a loan and having an
underwriting system for a
loan with a set of data-integrated microservices including data collection and
monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
underwriting lending entities and transactions.
[0865] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a loan
marketing system with a
set of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services and smart contract
services for marketing
a loan to a set of prospective parties.
[0866] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a rating
system with a set of
data-integrated microservices including data collection and monitoring
services, blockchain
services, artificial intelligence services, and smart contract services for
rating a set of loan-
related entities.
[0867] In embodiments a lending platform is provided herein having a
crowdsourcing system
for obtaining information about at least one of a state of a set of collateral
for a loan and a
state of an entity relevant to a guarantee for a loan and having a compliance
system with a set
of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services, and smart contract
services for
automatically facilitating compliance with at least one of a law, a regulation
and a policy
related to a lending transaction.
[0868] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a smart contract
that automatically
restructures debt based on a monitored condition.
[0869] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a social network
monitoring system
for validating the reliability of a guarantee for a loan.
[0870] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
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and a market factor for a specific jurisdiction and having an Internet of
Things data collection
and monitoring system for validating reliability of a guarantee for a loan.
[0871] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a robotic process
automation system
for negotiation of a set of terms and conditions for a loan.
[0872] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a robotic process
automation system
for loan collection.
[0873] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a robotic process
automation system
for consolidating a set of loans.
[0874] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a robotic process
automation system
for managing a factoring loan.
[0875] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a robotic process
automation system
for brokering a mortgage loan.
[0876] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a crowdsourcing and
automated
classification system for validating condition of an issuer for a bond.
[0877] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a social network
monitoring system
with artificial intelligence for classifying a condition about a bond.
[0878] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
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and a market factor for a specific jurisdiction and having an Internet of
Things data collection
and monitoring system with artificial intelligence for classifying a condition
about a bond.
[0879] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a system that
varies the terms and
conditions of a subsidized loan based on a parameter monitored by the IoT.
[0880] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a system that
varies the terms and
conditions of a subsidized loan based on a parameter monitored in a social
network.
[0881] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a system that
varies the terms and
conditions of a subsidized loan based on a parameter monitored by
crowdsourcing.
[0882] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having an automated
blockchain custody
service for managing a set of custodial assets.
[0883] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having an underwriting
system for a loan
with a set of data-integrated microservices including data collection and
monitoring services,
blockchain services, artificial intelligence services, and smart contract
services for
underwriting lending entities and transactions.
[0884] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a loan marketing
system with a set
of data-integrated microservices including data collection and monitoring
services,
blockchain services, artificial intelligence services and smart contract
services for marketing
a loan to a set of prospective parties.
[0885] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a rating system
with a set of data-
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integrated microservices including data collection and monitoring services,
blockchain
services, artificial intelligence services, and smart contract services for
rating a set of loan-
related entities.
[0886] In embodiments a lending platform is provided herein having a smart
contract that
automatically adjusts an interest rate for a loan based on at least one of a
regulatory factor
and a market factor for a specific jurisdiction and having a compliance system
with a set of
data-integrated microservices including data collection and monitoring
services, blockchain
services, artificial intelligence services, and smart contract services for
automatically
facilitating compliance with at least one of a law, a regulation and a policy
related to a
lending transaction.
[0887] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
social network
monitoring system for validating the reliability of a guarantee for a loan.
[0888] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having an
Internet of
Things data collection and monitoring system for validating reliability of a
guarantee for a
loan.
[0889] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
robotic process
automation system for negotiation of a set of terms and conditions for a loan.
[0890] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
robotic process
automation system for loan collection.
[0891] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
robotic process
automation system for consolidating a set of loans.
[0892] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
robotic process
automation system for managing a factoring loan.
[0893] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
robotic process
automation system for brokering a mortgage loan.
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[0894] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
crowdsourcing
and automated classification system for validating condition of an issuer for
a bond.
[0895] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
social network
monitoring system with artificial intelligence for classifying a condition
about a bond.
[0896] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having an
Internet of
Things data collection and monitoring system with artificial intelligence for
classifying a
condition about a bond.
[0897] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored by the
IoT.
[0898] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored in a
social network.
[0899] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
system that
varies the terms and conditions of a subsidized loan based on a parameter
monitored by
crowdsourcing.
[0900] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having an
automated
blockchain custody service for managing a set of custodial assets.
[0901] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having an
underwriting
system for a loan with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services,
and smart contract
services for underwriting lending entities and transactions.
[0902] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
loan marketing
system with a set of data-integrated microservices including data collection
and monitoring
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services, blockchain services, artificial intelligence services and smart
contract services for
marketing a loan to a set of prospective parties.
[0903] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
rating system
with a set of data-integrated microservices including data collection and
monitoring services,
blockchain services, artificial intelligence services, and smart contract
services for rating a set
of loan-related entities.
[0904] In embodiments a lending platform is provided herein having a smart
contract that
automatically restructures debt based on a monitored condition and having a
compliance
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
automatically facilitating compliance with at least one of a law, a regulation
and a policy
related to a lending transaction.
[0905] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having an
Internet of Things data collection and monitoring system for validating
reliability of a
guarantee for a loan.
[0906] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a robotic
process automation system for negotiation of a set of terms and conditions for
a loan.
[0907] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a robotic
process automation system for loan collection.
[0908] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a robotic
process automation system for consolidating a set of loans.
[0909] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a robotic
process automation system for managing a factoring loan.
[0910] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a robotic
process automation system for brokering a mortgage loan.
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[0911] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a
crowdsourcing and automated classification system for validating condition of
an issuer for a
bond.
[0912] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a social
network monitoring system with artificial intelligence for classifying a
condition about a
bond.
[0913] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having an
Internet of Things data collection and monitoring system with artificial
intelligence for
classifying a condition about a bond.
[0914] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a system
that varies the terms and conditions of a subsidized loan based on a parameter
monitored by
the IoT.
[0915] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a system
that varies the terms and conditions of a subsidized loan based on a parameter
monitored in a
social network.
[0916] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a system
that varies the terms and conditions of a subsidized loan based on a parameter
monitored by
crowdsourcing.
[0917] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having an
automated blockchain custody service for managing a set of custodial assets.
[0918] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having an
underwriting system for a loan with a set of data-integrated microservices
including data
collection and monitoring services, blockchain services, artificial
intelligence services, and
smart contract services for underwriting lending entities and transactions.
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[0919] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a loan
marketing system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services and
smart contract
services for marketing a loan to a set of prospective parties.
[0920] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a rating
system with a set of data-integrated microservices including data collection
and monitoring
services, blockchain services, artificial intelligence services, and smart
contract services for
rating a set of loan-related entities.
[0921] In embodiments a lending platform is provided herein having a social
network
monitoring system for validating the reliability of a guarantee for a loan and
having a
compliance system with a set of data-integrated microservices including data
collection and
monitoring services, blockchain services, artificial intelligence services,
and smart contract
services for automatically facilitating compliance with at least one of a law,
a regulation and
a policy related to a lending transaction.
[0922] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a robotic process automation system for negotiation of a set of terms
and conditions
for a loan.
[0923] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a robotic process automation system for loan collection.
[0924] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a robotic process automation system for consolidating a set of loans.
[0925] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a robotic process automation system for managing a factoring loan.
[0926] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a robotic process automation system for brokering a mortgage loan.
254

CA 03118308 2021-04-29
WO 2020/092426
PCT/US2019/058647
[0927] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a crowdsourcing and automated classification system for validating
condition of an
issuer for a bond.
[0928] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a social network monitoring system with artificial intelligence for
classifying a
condition about a bond.
[0929] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having an Internet of Things data collection and monitoring system with
artificial intelligence
for classifying a condition about a bond.
[0930] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a system that varies the terms and conditions of a subsidized loan
based on a
parameter monitored by the IoT.
[0931] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a system that varies the terms and conditions of a subsidized loan
based on a
parameter monitored in a social network.
[0932] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having a system that varies the terms and conditions of a subsidized loan
based on a
parameter monitored by crowdsourcing.
[0933] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having an automated blockchain custody service for managing a set of custodial
assets.
[0934] In embodiments a lending platform is provided herein having an Internet
of Things
data collection and monitoring system for validating reliability of a
guarantee for a loan and
having an underwriting system for a loan with a set of data-integrated
microservices
including data collection and monitoring services, blockchain services,
artificial intelligence
services, and smart contract services for underwriting lending entities and
transactions.
255

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