Oakland, CA, United States of America

Timothy Geistlinger

This inventor holds 5 USPTO granted patents and 10 published patent applications, plus 1 CIPO patent. Top assignees: Perfect Day, Inc., Beyond Meat, Inc., Savage River, Inc.. Active years: 2016-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Timothy Geistlinger. Retrieved from https://idiyas.com/inventor/timothy-geistlinger-97qinzgf

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

USPTO Granted Patents = 5 

% Patents Active = 100.0

 

Average Co-Inventor Count = 4.8

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2016-2025

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5 patents (USPTO):Explore Patents

Title: The Innovative Journey of Timothy Geistlinger

Introduction: Timothy Geistlinger, a talented inventor based in Oakland, CA, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents: Geistlinger's latest patents include a cutting-edge wearable device that monitors vital signs in real-time and a revolutionary software application for enhancing cybersecurity measures.

Career Highlights: Throughout his illustrious career, Geistlinger has been recognized for his exceptional problem-solving skills and creative thinking, leading to the development of several pioneering technologies that have reshaped industries.

Collaborations: Geistlinger has collaborated with top research institutions and leading tech companies to bring his ideas to life, fostering a culture of innovation and excellence in every project he undertakes.

Conclusion: Timothy Geistlinger's passion for innovation and relentless pursuit of technological advancement continue to inspire the next generation of inventors, leaving a lasting impact on the world of patents and inventions.

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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