Company Badge
USPTO Data Jan 1 1976 - Oct 6 2026
26 Patents
#289 in San Jose, CA
#3,039 in California
#12,850 in US
#24,781 in the World
Figure Ai Inc.
Forward Citations = 54
36 inventors:
San Jose, CA, United States of America
Figure Ai Inc.
Forward Citations = 54
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36 inventors (with patents filed for the assignee):
Katarina Rodak (9 out of 10 patents)
Sydney Hardy (9 out of 10 patents)
Victor Ragusila (6 out of 6 patents)
4. Jacob Daniel Webb (6 out of 6 patents)
5. Shubham Jayprakash Chotia (6 out of 6 patents)
6. David McCall (5 out of 5 patents)
7. Corey Lynch (5 out of 5 patents)
8. David Mccall (4 out of 6 patents)
9. Jose Domingo Briones Bravo (4 out of 4 patents)
10. Basel Zohny (4 out of 4 patents)
11. Toki Migimatsu (4 out of 4 patents)
12. Michael Stevens (3 out of 3 patents)
13. Ernesto Gonzalez Urdaneta (3 out of 3 patents)
14. Michael Ahn (3 out of 3 patents)
15. Yevgen Chebotar (3 out of 3 patents)
Core Competencies:
Humanoid Robot
Head Assembly
Neck Assembly
Bipedal Action
Kinematics
End Effector
Dynamic Task Assignment
Data Collection
26 patents:
Company Overview
Figure Ai Inc., based in San Jose, California, specializes in advanced artificial intelligence solutions aimed at enhancing decision-making processes across various industries. The company focuses on developing innovative algorithms and machine learning models that facilitate data analysis and predictive insights. With a commitment to transforming how businesses leverage technology, Figure Ai Inc. is at the forefront of AI research, contributing to sectors such as finance, healthcare, and logistics, thereby driving efficiency and strategic growth.
Profile summary synthesized from public USPTO records and patent filings.
IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Figure Ai Inc.. Retrieved from https://idiyas.com/company/figure-ai
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]
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]
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]