The patented system, detailed in Application No. 18/951,357, functions by monitoring coupled variables—the intersection of a user's trajectory, scheduled travel, and external toxins or diseases. By continuously analyzing these streams against a user’s pre-existing conditions and medication history, the AI generates proactive risk assessments rather than reactive reports. This approach aims to move beyond traditional health monitoring by anticipating potential hazards based on a user's future movements and environmental trends.
Jumptuit Secures USPTO Patent for Predictive Health Risk AI
The U.S. Patent and Trademark Office has issued a Notice of Allowance to Jumptuit for its system designed to forecast health risks before environmental exposure occurs. The technology, developed by founder Donald Leka, creates individualized health alerts by synthesizing real-time geolocation, environmental conditions, and personal medical data.
Donald Leka, CEO of the New York-based research firm, characterized the patent as a foundational addition to the company’s intellectual property portfolio. The underlying framework is intended to operate across multiple sectors, aiming to provide users with actionable intelligence in daily life. Jumptuit operates as part of The Jumptuit Group, an organization focused on Anticipatory Intelligence, which seeks to identify the antecedent elements of events to help individuals and policymakers mitigate risks before they manifest.
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