Abstract: Systems and methods for predicting forward market pricing for renewable energy credit based on human behavioral data are disclosed. An example transaction-enabling system may include a forward market circuit to access a forward energy credit market and a market forecasting circuit to automatically generate a forecast for a forward market price of an energy credit in the forward energy credit market where the forecast is based at least in part on a human behavior information collected from at least one human behavioral data source. The example system may further include wherein the energy credit includes a renewable energy credit associated with a renewable energy system, and a smart contract circuit to perform at least one of selling the renewable energy credit or purchasing the renewable energy credit on the forward energy credit market in response to the forecasted forward market price of the energy credit.

Abstract: 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.

Abstract: A method includes acquiring, at a node server, blockchain data for a blockchain address on a blockchain network. The blockchain data includes a plurality of transactions for the blockchain address. The method includes generating a local node trust score for the blockchain address based on the blockchain data. The local node trust score indicates a likelihood that the blockchain address is involved in fraudulent activity. The method includes receiving, from a plurality of remote servers, a plurality of additional local trust scores for the blockchain address. The method includes determining a consensus trust score based on the local node trust score and the plurality of additional local trust scores. Additionally, the method includes receiving a trust request for the blockchain address from a requesting device and sending the consensus trust score for the specified blockchain address to the requesting device.

Abstract: Systems and methods for integrating a gaming engine and a smart contract system in a platform are provided. The gaming engine is programmed with a software development environment and an architecture that provides a set of gaming engine services with predefined tools for digital content developers to create a set of game engine generated environments. The smart contract system programmed with smart contract services associated with transactions that are based on electronically verifiable conditions. The integration platform is programmed with an execution framework that is common to the gaming engine and to the smart contract system to integrate the smart contract services with at least one of the gaming engine and the set of game engine generated environments.

Abstract: A system includes a crowdsourcing request circuit that configures parameter(s) of a crowdsourcing request related to obtaining information on a condition of a collateral for a loan, a crowdsourcing publishing circuit that publishes the crowdsourcing request to a group of information suppliers, and a crowdsourcing communications circuit that collects and processes response(s) from the group of information suppliers, and provides a reward to at least one of the group of information suppliers in response to a successful information supply event.

Abstract: Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for biological production processes are described. A method may include accessing a distributed ledger comprising an instruction set for a biological production process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the biological production process in response to the instruction set access request and recording the transaction on the distributed ledger.

Abstract: Transaction-enabled methods for providing provable access to a distributed ledger with a tokenized instruction set for semiconductor fabrication processes are described. A method may include accessing a distributed ledger including an instruction set for a semiconductor fabrication process and tokenizing the instruction set. The method may further include interpreting an instruction set access request and, in response to the access request, providing a provable access to the instruction set. The method may further include providing commands to a production tool of the semiconductor fabrication process in response to the instruction set access request, and recording the transaction on the distributed ledger.

Abstract: 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.

Abstract: Systems and methods for crowdsourcing information on loan collateral are disclosed. An example system may include a crowdsourcing request circuit to configure 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 to publish the crowdsourcing request to a group of information suppliers; and a crowdsourcing communications circuit 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.

Abstract: 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.

Abstract: Systems and methods for automatic loan classification are disclosed. An example system may include a data collection circuit 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.

Abstract: A system and method for automated blockchain custody service for managing a set of custodial assets includes a blockchain service circuit structured to interpret a plurality of access control features corresponding to parties associated with a secured loan; a data collection circuit structured to receive first collateral data from at least one sensor associated with the collateral used to secure the loan; receive second collateral data regarding an environment of the collateral from an IoT circuit; and associate the first collateral data and second collateral data with a unique identifier associated with the item of collateral, wherein the blockchain service circuit is structured to store the unique identifier and associated collateral data as blockchain data; a smart contract circuit structured to create a smart lending contract; and a secure access control circuit structured to receive access control instructions from a lender of the loan via an access control interface.

Abstract: Systems and methods for crowdsourcing information on a guarantor for a loan are disclosed. An example system may include a crowdsourcing request circuit 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 to publish the crowdsourcing request to a group of information suppliers; and a crowdsourcing communications circuit 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.

Abstract: Systems and methods related to resource distribution for a fleet of machines are disclosed. A system may include a fleet of machines each having an associated resource capacity and a resource requirement to perform a task. The system may further include a controller having a resource requirement circuit to determine an aggregated amount of the resource requirement and an aggregated amount of the resource capacity. A resource distribution circuit may adaptively improve, in response to an aggregated amount of the resource capacity, an aggregated resource delivery of the resource.

Abstract: 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.

Abstract: A system and method of smart contract and distributed ledger platform with blockchain authenticity verification includes 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.

Abstract: Systems and methods for automatic consideration of jurisdiction in loan related actions are disclosed. An example system may include a data collection circuit to determine location information corresponding to each entity involved in a loan; a jurisdiction definition circuit to determine a jurisdiction for at least one of the entities in response to the location information; and a smart contract circuit to automatically undertake a loan-related action for the loan based at least in part on the jurisdiction for at least one of the entities.

Abstract: A system and method of varied terms and conditions of a subsidized loan includes 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.

Abstract: A system and method of automated debt management with machine learning is disclosed. An example system may include a data collection circuit to collect information about entities involved in debt transactions, a training data set of outcomes related to the entities, and a training set of debt management activities. The system may also include a condition classifying circuit to classify a condition of at least one of the entities and an automated debt management circuit to manage an action related to a debt. The condition classifying circuit may include a model trained using the training data set of outcomes related to the entities.

Abstract: A system and method for facilitating foreclosure on collateral is disclosed. An example system may include a lending agreement storage circuit structured to store a plurality of lending agreement data comprising at least one lending agreement, wherein the lending agreement comprises a lending condition data comprising 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.