Deepsee.ai Inc.

Wacey T Richards

Stephen W Shillingford

Michael E Kiemel

Damon A Darais

Joseph M Wood

Stewart A Sintay

Samuel Z Shillingford

Robert D Bailey

Matthew Valley

Bryan W Sparks

Ryan W McQueen

Max K Goff

Eduardo James Sagra

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.

Extensible data objects for use in machine learning models

Systems and methods may utilize a predictive analysis model to analyze a contract or other document. A system may parse a document and/or a repository of information associated with the document. The system may identify one or more terms in the document and corresponding terms in the repository. The system may determine a difference parameter between a first term extracted from the document and a second term extracted from the repository. The system may determine whether the difference between the first term and the second term, represented by the difference parameter, is likely to be acceptable to the user using a predictive analysis model. The system may report a validation parameter indicating a level of acceptability associated with the difference. User feedback on the accuracy of the predictive analysis model is used to train, modify, and improve the predictive analysis model.

Predictive analysis systems and methods using machine learning

Systems and methods for predictive analysis reporting

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Midway, UT, United States of America

Wacey T Richards