London, United Kingdom

Nicolas Marchesotti

This inventor holds 1 USPTO granted patent and 11 published patent applications. Top assignee: Jpmorgan Chase Bank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Nicolas Marchesotti. Retrieved from https://idiyas.com/inventor/nicolas-marchesotti

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: Innovations by Nicolas Marchesotti

Introduction

Nicolas Marchesotti is an accomplished inventor based in London, GB. He has made significant contributions to the field of artificial intelligence, particularly in assessing the trustworthiness of AI models. His innovative approach combines explainable AI with advanced document processing techniques.

Latest Patents

Nicolas holds a patent for a "Method and system for assessing the trustworthiness of an artificial intelligence model." This patent outlines a comprehensive method that includes accessing explainable AI assets and relevant documents, generating chunk embeddings, and calculating embedding similarity scores to evaluate the trustworthiness of AI models. He has 1 patent to his name.

Career Highlights

Nicolas is currently employed at JPMorgan Chase Bank, N.A., where he applies his expertise in artificial intelligence to enhance the bank's technological capabilities. His work focuses on developing systems that ensure the reliability and transparency of AI applications.

Collaborations

Nicolas collaborates with talented professionals such as Allan Anzagira and Freddy Lecue. Together, they work on innovative projects that push the boundaries of AI technology.

Conclusion

Nicolas Marchesotti is a notable inventor whose work in artificial intelligence is paving the way for more trustworthy AI systems. His contributions are essential in ensuring that AI technologies are reliable and transparent.

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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