The mission of SavantX is to make data accessible and understandable through artificial intelligence, quantum computing, and other cutting-edge technologies. We are able to do this + more through a variety of patents filed. Read below for summaries or view the full patent details by clicking on the title links.
Systems and Methods for Enterprise Data Search and Analysis
A system and method for enterprise searching of documents. The system comprises a computing system configured to receive one or more search terms, and responsively analyze a group of documents to return analysis results. A method for enterprise searching includes indexing the group of documents, determining relevant terms and measuring the context between terms. Relevant portions of documents, also called passages of interest, are determined as part of the analysis process. The analysis also uses a calculated importance value of terms as part of the analysis process.
System and Method for Analysis and Navigation of Data
Systems and methods for analyzing a large number of textual passages are described. A computing device receives the textual passages as input and generates a Raw Pair Distance (RPD) table. The device then determines a Node table and a Node-Node Distance (NND) matrix from the RPD table. An energy reduction process is used to generate an NSPACE matrix from the NND matrix. Finally, a 3D visualizer displays aspects of the Nodes table and the NSPACE matrix to a user. The systems and methods may enable a user to quickly search and understand the text relationships within the large number of textual passages.
Systems and Methods for Enterprise Data Search and Analysis
A system and method for enterprise searching of documents. The system comprises a computing system configured to receive one or more search terms, and responsively analyze a group of documents to return analysis results. A method for enterprise searching includes indexing the group of documents, determining relevant terms and measuring the context between terms. Relevant portions of documents, also called passages of interest, are determined as part of the analysis process. The analysis includes analyzing the passages of interest for words, repeating term sequences, non-consecutive repeating root term sequences, and non-word terms. The terms/sequences are scored and sorted, resulting in a set of high-importance items, allowing a user to quickly subselect search results without reading through the results.