Four U.S. patents in A.I. and semantic technology.

Systems and methods for patent reference comparison in a combined semantical-probabilistic algorithm

A comparison engine that combines semantic and probabilistic algorithms to differentiate and compare an input against other references, reporting their similarities, differences and what makes each one unique.

• Comparison engine
• Semantic + probabilistic
• Document analysis

Systems and methods for identifying evidentiary information

A cognitive engine that semantically analyses large digital content data sets to determine useful evidentiary information, then analyses or manipulates it to derive the data needed to solve problems, identify issues and identify patterns. The results can be applied to any application, interface or automation.

• Cognitive engine
• Evidentiary information
• Pattern detection

Systems and methods for semantic understanding of digital information

A semantic engine built from cooperating sub-engines that analyse and understand digital information and produce results or follow-up actions, using techniques such as a Naive Bayes classifier, a self-learning semantic understanding algorithm, lexical analysis, word trimming, part-of-speech tagging and textual inference.

• Semantic engine
• NLP
• Self-learning

Systems and methods for identifying evidentiary information

The published patent application for the cognitive engine that identifies evidentiary information in large digital content data sets. It describes the same invention later granted as US 10,540,439 B2.

Published application; granted as US 10,540,439 B2 on January 21, 2020.

• Published application
• Cognitive engine