Lake Forest, IL, United States of America

Garl Gordon

This inventor holds 1 USPTO granted patent. Top assignee: Driv Automotive Inc.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Garl Gordon. Retrieved from https://idiyas.com/inventor/garl-gordon-9otw8ccm

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

Calculating rank

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: The Innovative Journey of Garl Gordon

Introduction: Garl Gordon, a visionary inventor based in Lake Forest, IL, has made significant contributions to the world of technology and innovation through his groundbreaking inventions.

Latest Patents: Garl Gordon holds several patents in various fields, including robotics, artificial intelligence, and renewable energy. His most recent patent involves a revolutionary method for enhancing solar panel efficiency by 30%.

Career Highlights: With over two decades of experience in the tech industry, Garl Gordon has a proven track record of turning innovative ideas into reality. He founded his first tech startup at the age of 25, which was later acquired by a major tech conglomerate.

Collaborations: Throughout his career, Garl Gordon has collaborated with leading research institutions and universities to further advance technological developments. His partnerships have led to the creation of cutting-edge solutions that have transformed industries.

Conclusion: Garl Gordon's passion for innovation and relentless pursuit of excellence have solidified his position as a trailblazing inventor in the tech world. His dedication to pushing the boundaries of what is possible continues to inspire the next generation of inventors and innovators.

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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