Real-time visualization of foreign influence risks in defense-critical technologies

The key focus for this Phase II proposal is to provide the Office of Commercial and Economic Analysis (OCEA) under SAF/CDM with that advanced awareness of potential foreign influence on critical DAF technologies. The problem is that DAF requires a new defense capability that timely detects entities that own, jointly-own, invent, sell, or buy patents related to the defense-critical technologies, and timely communicates foreign influence risks based on geographical and temporal relations among those entities. BlueFoot addresses this problem by modifying the BlueFoot commercial off-the-shelf (COTS) platform to leverage its commercially-proven patent machine-learning (ML) capability. BlueFoot’s cutting-edge ML capability can ingest and classify millions of U.S. and foreign patent documents, to automatically find patents pertaining to defense-critical technology domains of concern (e.g., space technology, microelectronics, hypersonic, etc.). Based on the patents discovered by the ML system, BlueFoot can identify entities (e.g., organizations, universities, or personnel) that own, jointly-own, invent, sell, or buy the patents related to the defense-critical technology domains. BlueFoot COTS platform currently serves multiple Fortune 500 companies to accurately analyze innovation trends by technology domains. BlueFoot’s commercial customers include: Google Inc., Otsuka Pharmaceutical, Hewlett Packard Enterprise, HP Inc., Corning Inc., CrowdStrike, and Gates Corporation, among others.