Fayetteville, CO, United States of America

Paul Copenhaver

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Paul Copenhaver. Retrieved from https://idiyas.com/inventor/paul-copenhaver

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

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Paul Copenhaver: Innovator in Payment Authorization Technology

Introduction

Paul Copenhaver is an accomplished inventor based in Fayetteville, Colorado. He has made significant contributions to the field of payment systems through his innovative use of machine learning. His work focuses on enhancing the authorization of payments, making transactions more efficient and secure.

Latest Patents

Copenhaver holds a patent for "Payment authorization via machine learning." This patent describes computing systems and methods that utilize machine learning to improve payment authorization processes. Unlike traditional static approaches, his invention allows for dynamic and real-time optimization of various request parameters associated with payment authorization requests. The systems can employ machine-learned models to select the appropriate payment processor, optimize message parameters, and execute automated retry strategies if initial requests are declined. He has 1 patent to his name.

Career Highlights

Copenhaver's career is marked by his role at Google Inc., where he has been instrumental in developing advanced payment technologies. His innovative approach has positioned him as a key player in the evolution of payment systems, particularly in the integration of machine learning.

Collaborations

Copenhaver has worked alongside talented colleagues, including Mateusz Waldemar Mach and Mark Damien Walick. Their collaborative efforts have contributed to the advancement of payment authorization technologies.

Conclusion

Paul Copenhaver's work in payment authorization via machine learning represents a significant advancement in the field. His innovative solutions are paving the way for more efficient and secure payment systems.

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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