McKinney, TX, United States of America

Collin Longmire

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Capital One Services, LLC. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Collin Longmire. Retrieved from https://idiyas.com/inventor/collin-longmire

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

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Innovations by Collin Longmire

Introduction

Collin Longmire is an accomplished inventor based in McKinney, TX (US). He has made significant contributions to the field of risk assessment in the automotive industry. His innovative approach utilizes machine learning to enhance the detection of dealer defaults.

Latest Patents

Collin Longmire holds a patent for "Automated risk prioritization and default detection." This patent describes systems, methods, and apparatuses for automatically detecting the risk of dealer default. A machine learning model is trained using a gradient boosting technique on a dataset that includes historical lien information, historical dealer information, and historical vehicle default information. The model generates aggregate risk scores for dealers, and if a score exceeds a predetermined threshold, a notification is generated.

Career Highlights

Collin Longmire is currently employed at Capital One Services, LLC, where he applies his expertise in risk assessment and machine learning. His work focuses on improving the financial stability of automotive dealers through innovative technology.

Collaborations

Collin has collaborated with notable colleagues such as Joseph T. Allison and John Runge, contributing to advancements in their field.

Conclusion

Collin Longmire's innovative work in automated risk detection showcases the potential of machine learning in financial assessments. His contributions are paving the way for more secure and efficient practices in the automotive industry.

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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