Anthem, AZ, United States of America

Jason Cawley

This inventor holds 1 USPTO granted patent. Top assignee: The Dun and Bradstreet Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jason Cawley. Retrieved from https://idiyas.com/inventor/jason-cawley

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Jason Cawley and His Patent for Ecosystem Behavior Discovery

Introduction

Jason Cawley is an inventor based in Anthem, Arizona. His work includes a patented system and method for identifying meaningful patterns of behavior across complex ecosystems. He is associated with The Dun and Bradstreet Corporation.

Latest Patents

Cawley is credited with 1 patent, titled “System and Method for Discovery and Attribution of Critical Ecosystem Multiple Counterparty Behaviors to Enable Discovery.” The invention establishes a digital fingerprint of a behavioral pattern and searches ecosystems for quantifiable, isomorphic relationships that meaningfully resemble it. Its approach addresses potential bias, anecdotal similarity, random discovery, and computational intractability. Potential applications include identifying patterns associated with money laundering, fraud, and malfeasance.

Career Highlights

Cawley’s patent focuses on applying rigorous methods to discover and attribute complex behaviors involving multiple counterparties. The work is designed to support analysis across both the ecosystem where a pattern first appears and other, unrelated ecosystems.

Collaborations

Cawley’s listed coworkers include Anthony Scriffignano and Ilya Meyzin. His association with The Dun and Bradstreet Corporation places his work in a company context connected to business information and data analysis.

Conclusion

Jason Cawley’s patented system offers a structured approach to finding and evaluating behavioral patterns across ecosystems, with potential uses in detecting fraud, money laundering, and other forms of malfeasance.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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