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For the Inventor, By the Inventor

San Jose, CA, United States of America

Koichi Nishimura

This inventor holds 8 USPTO granted patents and 8 published patent applications. Top assignee: Facet Labs, LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Koichi Nishimura. Retrieved from https://idiyas.com/inventor/koichi-nishimura-xvlgt7wq

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

Calculating rank
USPTO Granted Patents = 8 

% Patents Active = 100.0

Average Co-Inventor Count = 4.2

ph-index = 2

Forward Citations = 13(Granted Patents)


Company Filing History:

goldMedal8 out of 8 
 
Facet Labs, LLC
 patents

Years Active: 2020-2026

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8 patents (USPTO):Explore Patents
1. 12561732 - Computing devices and systems for sending and receiving a digital gift using a voice interface (2026-02-24),
2. 11763811 - Oral communication device and computing system for processing data and outputting user feedback, and related methods (2023-09-19),
3. 11386920 - Interactive group session computing systems and related methods (2022-07-12),
4. 11063838 - Smart distributed systems for managing network data (2021-07-13),
5. 11061972 - Computing architecture for multiple search bots and behavior bots and related devices and methods (2021-07-13),
6. 11037545 - Interactive personal assistive devices and systems with artificial intelligence, and related methods (2021-06-15),
7. 10896678 - Oral communication device and computing systems for processing data and outputting oral feedback, and related methods (2021-01-19),
8. 10831839 - Computing architecture for multiple search bots and behavior bots and related devices and methods (2020-11-10),

Title: Innovations by Koichi Nishimura

Introduction

Koichi Nishimura is a notable inventor based in San Jose, CA. He has made significant contributions to the field of technology, particularly in the development of communication devices and systems that leverage machine learning. With a total of 8 patents to his name, Nishimura's work is at the forefront of enhancing user interaction with computing systems.

Latest Patents

Nishimura's latest patents include an oral communication device and a computing system designed for processing data and outputting user feedback. This innovative system addresses the limitations of typical graphical user interfaces by providing an oral communication device and a data enablement platform. The platform ingests oral conversational data and utilizes machine learning to deliver intelligent responses. At the front end, a chatbot interacts with users, while the backend processes data from various sources to identify trends, provide recommendations, and predict actions. This adaptable system is applicable across various industries.

Another significant patent involves interactive group session computing systems. This technology offers assistive tools for leaders to engage group participants effectively. The system includes a group bot that manages both public and private data, allowing for tailored interactions based on participant-specific information. The leader bot interacts with both the group bot and individual participant bots to facilitate a more engaging experience.

Career Highlights

Nishimura is currently employed at Facet Labs, LLC, where he continues to innovate and develop cutting-edge technologies. His work has positioned him as a key player in the tech industry, particularly in the realm of communication and data processing.

Collaborations

Throughout his career, Nishimura has collaborated with talented individuals such as Stuart Ogawa and Lindsay Alexander Sparks. These partnerships have contributed to the successful development of his innovative projects.

Conclusion

Koichi Nishimura's contributions to technology through his patents and innovative systems demonstrate his commitment to enhancing communication and data processing. His work continues to influence various industries, 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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