Oakland, CA, United States of America

Hayden Ai Technologies, Inc.

Calculating rank
USPTO Granted Patents = 20

% Expired Patents = 5.0

Trademarks = 4

Forward Citations = 65

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19 inventors (with patents filed for the assignee):

goldMedal Bo Shen (15 out of 57 patents)

silverMedal Vaibhav Ghadiok (14 out of 16 patents)

bronzeMedal Christopher Carson (10 out of 11 patents)

4.  Shaocheng Wang (4 out of 5 patents)

5.  Michael Gleeson-May (3 out of 4 patents)

6.  Morgan Kohler (3 out of 4 patents)

7.  Randal B Chinnock (2 out of 44 patents)

8.  Patrick L McGuire (2 out of 8 patents)

9.  Joseph Virzi (2 out of 2 patents)

10.  Ahmad Lemar (2 out of 2 patents)

11.  Stuart Montagu McKee (2 out of 2 patents)

12.  Bryan John Shea (2 out of 2 patents)

13.  Wiktor Muron (2 out of 3 patents)

14.  Marcin Grzesiak (1 out of 2 patents)

15.  Maciej Budys (1 out of 2 patents)


20 patents:

Company Overview
Hayden Ai Technologies, Inc. is an innovative company based in Oakland, California, specializing in advanced artificial intelligence solutions for the transportation sector. The organization focuses on developing cutting-edge technologies that enhance the efficiency and safety of urban mobility systems. By leveraging AI and machine learning, Hayden Ai aims to transform how cities manage traffic and infrastructure, contributing to smarter, more sustainable urban environments. Their work is pivotal in addressing the challenges of modern transportation and urban planning.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Nov 10 2026

20 Patents

#22 in Oakland, CA

#3,948 in California

#16,444 in US

#31,380 in the World

Oakland, CA (US)
Oakland, CA, United States of America
Forward Citations = 65

19 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Hayden Ai Technologies, Inc.. Retrieved from https://idiyas.com/company/hayden-ai-technologies

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

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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