Abstract: A system for generating smart contracts may include a first subsystem to receive a written or verbal contract, and a second subsystem to identify terms of the contract using natural language processing (NLP). The system may additionally include a third subsystem to correlate processed NLP terms of the contract with chaincode in a library, and a fourth subsystem to combine correlated NLP terms to generate a smart contract. Methods of generating a smart contract may include inputting natural language contract terms into a smart contract generation system and identifying the natural language contract terms with a natural language processing system. The method may further include correlating at least some of the contract terms to chaincodes stored in a library, generating chaincodes for any contract terms that do not correlate to any chaincodes stored in the library, and assembling the chaincodes into a smart contract.

Abstract: Systems and methods are described herein for creating a data object for each of a plurality of imported unstructured data files. Each data object may expressly include one of the unstructured data files. Preprocessing subsystems and/or machine learning algorithms and subsystems process the data to generate or otherwise identify structured insight features. The system updates each data object to expressly include the structured insight features.

Abstract: Systems and methods are described herein for creating a data object for each of a plurality of imported unstructured data files. Each data object may expressly include one of the unstructured data files. Preprocessing subsystems and/or machine learning algorithms and subsystems process the data to generate or otherwise identify structured insight features. The system updates each data object to expressly include the structured insight features.

Abstract: A system for generating smart contracts may include a first subsystem to receive a written or verbal contract, and a second subsystem to identify terms of the contract using natural language processing (NLP). The system may additionally include a third subsystem to correlate processed NLP terms of the contract with chaincode in a library, and a fourth subsystem to combine correlated NLP terms to generate a smart contract. Methods of generating a smart contract may include inputting natural language contract terms into a smart contract generation system and identifying the natural language contract terms with a natural language processing system. The method may further include correlating at least some of the contract terms to chaincodes stored in a library, generating chaincodes for any contract terms that do not correlate to any chaincodes stored in the library, and assembling the chaincodes into a smart contract.

Abstract: Systems and methods are described herein for creating a data object for each of a plurality of imported unstructured data files. Each data object may expressly include one of the unstructured data files. Preprocessing subsystems and/or machine learning algorithms and subsystems process the data to generate or otherwise identify structured insight features. The system updates each data object to expressly include the structured insight features.