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 crowdsourcing a condition of a guarantor are disclosed herein. An example system may include a set of crowdsourcing services to communicate a crowdsourcing request to a group of information suppliers, collect the response, and process the responses to provide a reward to at least one successful information supplier. The example system may also include an interface to the set of crowdsourcing services that enables configuration of parameters, where the crowdsourcing request and the parameters are configured to obtain information related to a condition of a guarantor for the loan. An example system may include a set of publishing services that publish the crowdsourcing request.

Systems and methods for leveraging Internet of Things data to validate an entity are disclosed herein. An example system may include 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. The example system may also include an interface to the set of Internet of Things data collection and monitoring services that enables configuration of parameters of the Internet of Things network data collection and monitoring services to obtain information related to at least one of the conditions of guarantee of the loan in which the entities are involved.

Methods, systems and apparatuses, including computer programs encoded on computer storage media, are described herein to manage transactions relating to assets, such as carbon dioxide (“CO2”) offtake agreements, via a distributed ledger system. The platform may allow for authorized users to create large bundles of CO2 offtake agreements, transfer offtake bundles to other users in exchange for payment, create and issue securities backed by offtake bundles and/or manage various payments and contractual obligations relating to the same.

A system and method for the dynamic discovery of prices through the use of an auction is provided. In one embodiment, the system allows a seller to auction homogenous assets or liabilities to a plurality of bidders. The assets or liabilities may be organized in baskets by maturity, by geographic location, by type, by a property, etc. The system may determine the eligibility for acceptance of bids submitted by the bidders and a plurality of bids may be determined to be eligible for acceptance using the same or different criteria. Further, a margin by which the bids are acceptable may be determined and a representation of the margin may be communicated to the seller or a bidder. The seller may configure an auction event with auction parameters, such as bid floors and hurdle rates and may alter event parameters while the auction is ongoing.

Systems and methods for automatic classification of loan collection actions are disclosed. An example system may include: a data collection circuit to interpret interactions among 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 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.

A method of establishing a targeted dividend reinvestment plan associated with environmental management projects, and financial securities generated therein. In one embodiment, the method comprises steps of providing a dividend reinvestment plan, identifying at least one environmental management project, generating financial securities (e.g. “green” shares or other financial instruments) associated with the environmental management project(s), receiving a direction from investors participating in the dividend reinvestment plan to invest funds through a purchase by the investor of financial securities associated with the environmental management projects, issuing the financial securities to investors, and allocating the funds to the environmental management project(s).

Systems, methods and apparatus for a robotic process automation system for consolidating a set of loans are disclosed herein. An example system may include 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; an artificial intelligence system that is trained on the training set of interactions to classify a set of loans as candidates for consolidation; and 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.

A system and method for automated blockchain custody service for managing a set of custodial assets with block chain authenticity verification is disclosed. An example system includes an asset identification service circuit structured to interpret assets corresponding to a financial entity configured to take custody of them; an identity management service circuit structured to authenticate a plurality of identifiers corresponding to a plurality of actionable entities entitled to take action with respect to the assets, wherein the identifiers comprise at least one credential; a blockchain service circuit structured to store asset control features in a blockchain structure comprising 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 to record the asset control features in the distributed ledger configuration as asset events.