Atkinson, NH, United States of America

Jeffrey Clay Courcelle

This inventor holds 1 USPTO granted patent and 10 published patent applications. Top assignee: Strategy Inc. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jeffrey Clay Courcelle. Retrieved from https://idiyas.com/inventor/jeffrey-clay-courcelle

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

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Jeffrey Clay Courcelle and AI-Assisted Data Preparation

Introduction

Jeffrey Clay Courcelle is an inventor based in Atkinson, New Hampshire. His patent work addresses the use of artificial intelligence and machine learning to support data preparation and modeling.

Latest Patents

Courcelle is associated with 1 patent, titled “Data Preparation and Modeling Using Artificial Intelligence.” The invention describes a system that receives user input identifying one or more data sets and generates recommendations for data modeling, preparation, or enrichment. At least one recommendation is produced using artificial intelligence or machine-learning models. Users can accept or dismiss recommendations through interactive controls, and accepted recommendations can be applied to update a data set or data model. The resulting data or model can then be provided to a chatbot or another application.

Career Highlights

Courcelle is associated with Strategy Inc. His patent reflects an approach to making data workflows more interactive by combining AI-generated recommendations with user review and updates to data sets or models.

Collaborations

The provided information names Mohamed Diakite Pineda and Jaime Alberto Perez as Courcelle’s coworkers. Their specific roles in the patent or related work are not specified.

Conclusion

Jeffrey Clay Courcelle’s patent focuses on applying artificial intelligence and machine learning to data preparation and modeling, with user-guided recommendations that can be carried into downstream applications.

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]
Loading…