Jumptuit Expands AI Intellectual Property Portfolio with USPTO Notice of Allowance for Multidimensional Data Correlation and Native Security and Verification Architecture

“System and Method of Correlating Multiple Data Points to Create a New Single Data Point”

Jumptuit, an Anticipatory Intelligence research and development company, today announced that the U.S. Patent and Trademark Office (USPTO) has issued a Notice of Allowance broadening protection of Jumptuit's novel Physical World Artificial Intelligence.

The invention disclosed in Application No. 18/426,166, titled “System and Method of Correlating Multiple Data Points to Create a New Single Data Point,” details an active, multidimensional data correlation engine. The inventor is Jumptuit Founder and CEO, Donald Leka. The invention provides a framework for continuous analysis of relationships across a plurality of data points dispersed across multiple metadata dimensions, and for autonomously generating non-linear data correlations into new single correlated data points. The invention discloses security and verification protocols (e.g., encryption, access control, and transaction verification) embedded directly in the data correlation, search engine indexing, and metadata processing pipelines (rather than as external, post hoc security layers), securing multi-source metadata without compromising primary data locations.

“We are pleased to receive the Notice of Allowance from the USPTO broadening protection of Jumptuit’s Physical World Artificial Intelligence systems,” said Inventor and Jumptuit Founder and CEO, Donald Leka. “This novel technology at the molecular data level is a meaningful addition to Jumptuit’s IP portfolio that constitutes the underlying systems and methods of the Company’s technology with significant implications for transforming how non-linear data correlations are discovered and how data across disciplines, sectors and dimensions is used and protected at all stages.”