Novi, MI, United States of America

Lorne Forsythe

This inventor holds 15 USPTO granted patents and 12 published patent applications. Top assignees: Ford Global Technolgoies, LLC, Other. Active years: 2022-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lorne Forsythe. Retrieved from https://idiyas.com/inventor/lorne-forsythe

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

USPTO Granted Patents = 15 

% Patents Active = 100.0

Average Co-Inventor Count = 4.4

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2022-2026

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15 patents (USPTO):Explore Patents

Title: The Inventor Profile of Lorne Forsythe

Introduction: Lorne Forsythe, a distinguished inventor based in Novi, MI (US), is renowned for his groundbreaking contributions to the field of technology and innovation.

Latest Patents: Lorne Forsythe holds several patents in the areas of artificial intelligence, renewable energy, and sustainable technologies, showcasing his commitment to creating solutions for a better future.

Career Highlights: With a career spanning over two decades, Lorne Forsythe has worked with leading tech companies, research institutions, and universities to develop cutting-edge products and technologies that have revolutionized various industries.

Collaborations: Throughout his career, Lorne Forsythe has collaborated with top engineers, scientists, and designers, fostering a culture of innovation and excellence in all his projects. His collaborative spirit has led to the successful development of numerous groundbreaking inventions.

Conclusion: In conclusion, Lorne Forsythe's passion for innovation, coupled with his technical expertise and collaborative approach, has solidified his reputation as a visionary inventor in the field of technology.

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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