Yorba Linda, CA, United States of America

Daniel Patrick Moll

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Rivian IP Holdings, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Patrick Moll. Retrieved from https://idiyas.com/inventor/daniel-patrick-moll

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

Calculating rank
USPTO Granted Patents = 1 

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Daniel Patrick Moll: Inventor of a Tonneau Cover System.

Introduction

Daniel Patrick Moll is an inventor associated with Yorba Linda, California. His patent work concerns vehicle cover systems, particularly tonneau covers designed to cover a truck bed.

Latest Patents

Moll is credited with 1 patent, titled “Cover Systems.” The invention describes spring assemblies that help load and unload tonneau-cover panels in a stable, linear manner. Its follower assemblies are designed to support smooth deployment and retraction. The panels interlock when the cover is deployed and disconnect when it is retracted, allowing the system to cover or uncover a truck bed or another vehicle area.

Career Highlights

Moll is associated with Rivian IP Holdings, LLC. His patent reflects work on mechanical features intended to improve the operation and stability of vehicle cover systems.

Collaborations

Moll’s listed coworker is Greg Witten. The available information identifies their professional association but does not specify a particular joint project.

Conclusion

Daniel Patrick Moll’s patent focuses on a practical tonneau-cover design, combining stable panel movement with interlocking panels for controlled coverage of a vehicle bed.

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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