Toronto, Canada

Tenstorrent Ai Ulc

Calculating rank
USPTO Granted Patents = 8


Trademarks = 4

Forward Citations = 1

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23 inventors (with patents filed for the assignee):

goldMedal Ljubisa Bajic (7 out of 40 patents)

silverMedal Davor Capalija (3 out of 21 patents)

bronzeMedal Milos Trajkovic (2 out of 11 patents)

4.  Syed Gilani (2 out of 6 patents)

5.  Jasmina Vasiljevic (2 out of 12 patents)

6.  Alex Cejkov (2 out of 11 patents)

7.  Hassan Farooq (2 out of 4 patents)

8.  Andrew Grebenisan (2 out of 4 patents)

9.  Yu Ting Chen (2 out of 4 patents)

10.  Stephen Chin (2 out of 4 patents)

11.  Vladimir Blagojevic (2 out of 4 patents)

12.  Almeet Bhullar (2 out of 4 patents)

13.  Akhmed Rakhmati (2 out of 4 patents)

14.  Ivan Hamer (1 out of 10 patents)

15.  Ivan Matosevic (1 out of 9 patents)


8 patents:

Company Overview
Tenstorrent Ai Ulc is a cutting-edge technology company specializing in artificial intelligence and machine learning solutions. The company focuses on developing advanced hardware and software systems that enhance computational efficiency and performance for AI applications. With a team of experts in AI research and engineering, Tenstorrent aims to revolutionize industries by providing innovative solutions that leverage the power of AI. Their products are designed to meet the growing demands of data processing and analytics, making them a key player in the AI landscape.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 27 2026

8 Patents

#193 in Toronto

#1,878 in Canada

Toronto, CA
Toronto, Canada
Forward Citations = 1

23 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Tenstorrent Ai Ulc. Retrieved from https://idiyas.com/company/tenstorrent-ai-ulc

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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