A system that varies the terms and conditions of a subsidized loan includes 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; and 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.

A system that varies the terms and conditions of a subsidized loan includes 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; and 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.

Systems and related methods include 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, 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 to undertake an action related to the at least one transaction in response to the classified condition of the at least one entity.

Systems and related methods include 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, 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 to undertake an action related to the at least one transaction in response to the classified condition of the at least one entity.

Systems and methods for crowdsourcing data collection for condition classification of bond entities are disclosed. An example system may include a crowdsourcing data collection circuit to collect information about entities involved in a set of bond transactions and a training data set of outcomes related to the entities. The example system may include a condition classifying circuit to classify a condition of a set of issuers using the information from the crowdsourcing data collection circuit and a model, where the model is trained using the training data set of outcomes related to the set of issuers. The example system may also include an automated agent circuit 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.

Systems and methods for crowdsourcing data collection for condition classification of bond entities are disclosed. An example system may include a crowdsourcing data collection circuit to collect information about entities involved in a set of bond transactions and a training data set of outcomes related to the entities. The example system may include a condition classifying circuit to classify a condition of a set of issuers using the information from the crowdsourcing data collection circuit and a model, where the model is trained using the training data set of outcomes related to the set of issuers. The example system may also include an automated agent circuit 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.

A system for data collection is disclosed. The system may include a data collection circuit to monitor a status of a loan and the loan's collateral, and a smart contract circuit automatically initiate at 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 one of the status of the loan or the status of the collateral for the loan. The system may also include a blockchain service circuit to interpret a plurality of access control features for at least one party associated with the loan and record the substitution, removal, or addition in a distributed ledger for the loan.

A system for data collection is disclosed. The system may include a data collection circuit to monitor a status of a loan and the loan's collateral, and a smart contract circuit automatically initiate at 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 one of the status of the loan or the status of the collateral for the loan. The system may also include a blockchain service circuit to interpret a plurality of access control features for at least one party associated with the loan and record the substitution, removal, or addition in a distributed ledger for the loan.

Systems and methods for automated servicing of a subsidized loan are disclosed. An example system may include a crowdsourcing services circuit to collect information related to a set of entities involved in a set of subsidized loan transactions and a condition classifying circuit including a model and an artificial intelligence services circuit to classify a set of parameters of the set of subsidized loans based on information from the crowdsourcing services circuit, where the model is trained using a training data set of outcomes related to subsidized loans. The example system may further include a smart contract circuit for automatically modifying a term or a condition of the subsidized loan based on the classified set of parameters from the condition classifying circuit.

Systems and methods for automated servicing of a subsidized loan are disclosed. An example system may include a crowdsourcing services circuit to collect information related to a set of entities involved in a set of subsidized loan transactions and a condition classifying circuit including a model and an artificial intelligence services circuit to classify a set of parameters of the set of subsidized loans based on information from the crowdsourcing services circuit, where the model is trained using a training data set of outcomes related to subsidized loans. The example system may further include a smart contract circuit for automatically modifying a term or a condition of the subsidized loan based on the classified set of parameters from the condition classifying circuit.