Los Angeles, CA, United States of America

Justin D Dirr

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: State Farm Mutual Automobile Insurance Company. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Justin D Dirr. Retrieved from https://idiyas.com/inventor/justin-d-dirr

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


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Justin D. Dirr and AI-Based Query and Response Systems

Introduction

Justin D. Dirr is an inventor based in Los Angeles, California. His patent work includes an artificial intelligence system designed to help representatives respond to incoming queries in real time.

Latest Patents

Dirr is associated with 1 patent, titled “Artificial Intelligence-Based Query and Response Systems and Methods.” The invention presents an AI-generated proposed response alongside links to relevant documents retrieved from a subject-category database. It also allows a representative to provide feedback on the proposed response. The system records that feedback, uses it to create a training dataset, and retrains the AI response model. The updated model can then generate a revised response to the current inbound message in real time.

Career Highlights

Dirr is associated with State Farm Mutual Automobile Insurance Company. His patent describes a practical application of AI to customer communications, combining suggested responses, relevant reference materials, and representative feedback in a single workflow.

Collaborations

Catherine Espel-Logan and Jason L. Keeney are identified as Dirr’s coworkers. Their names are provided as professional associations, though the available information does not specify their roles in the patent.

Conclusion

Justin D. Dirr’s patent focuses on improving real-time query handling by combining AI-generated responses with relevant documents and feedback-driven model training.

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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