Brooklyn, NY, United States of America

Joss Briody

This inventor holds 1 USPTO granted patent. Top assignee: Benevolentai Technology Limited. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joss Briody. Retrieved from https://idiyas.com/inventor/joss-briody-julkudnt

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Joss Briody: Innovator in Entity Type Identification

Introduction

Joss Briody is a notable inventor based in Brooklyn, NY (US). He has made significant contributions to the field of named entity recognition systems. His innovative work focuses on improving the accuracy and efficiency of entity type identification.

Latest Patents

Joss Briody holds a patent for a method, apparatus, and system for entity type identification and disambiguation within a corpus of text. The patent, titled "Entity type identification for named entity recognition systems," outlines a process that includes receiving entity results, identifying entity types using a trained model, and outputting data representative of the identified entity types. This invention enhances the capabilities of text analysis and processing.

Career Highlights

Joss Briody is currently associated with BenevolentAI Technology Limited, where he applies his expertise in artificial intelligence and machine learning. His work at the company focuses on developing advanced technologies that leverage data for better decision-making and insights.

Collaborations

Joss has collaborated with talented individuals such as Juha Iso-Sipila and Oliver Oechsle. These partnerships have contributed to the advancement of innovative solutions in the tech industry.

Conclusion

Joss Briody's contributions to entity type identification demonstrate his commitment to innovation in technology. His work continues to influence the field of named entity recognition, paving the way for future advancements.

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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