Tokyo, Japan

Jyunnya Saiki

This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jyunnya Saiki. Retrieved from https://idiyas.com/inventor/jyunnya-saiki

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 = 7.0

ph-index = 1

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2020

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

Title: Innovations of Jyunnya Saiki in Conversational AI

Introduction

Jyunnya Saiki is an accomplished inventor based in Tokyo, Japan. He has made significant contributions to the field of conversational AI, particularly in the area of product and service recommendations. His innovative approach leverages natural language processing to enhance user experience.

Latest Patents

Jyunnya Saiki holds 1 patent for his invention titled "Recommendation through Conversational AI." This patent focuses on systems, methods, and devices that provide product and service recommendations to users through conversational AI dialog. The invention inspects natural language user input, extracts product-related keywords, and analyzes user profiles to deliver personalized recommendations.

Career Highlights

Saiki is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work has been instrumental in advancing the capabilities of conversational AI, making it more intuitive and user-friendly.

Collaborations

He has collaborated with notable colleagues, including Xianchao Wu and Wei Wu, to further enhance the development of innovative solutions in the tech industry.

Conclusion

Jyunnya Saiki's contributions to conversational AI exemplify the potential of technology to improve user interactions and recommendations. His work continues to influence the field and inspire future innovations.

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…