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Los Altos, CA, United States of America

Deep Vision, Inc.

Calculating rank

USPTO Granted Patents = 26

Trademarks = 1

Forward Citations = 348

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29 inventors (with patents filed for the assignee):

Rehan Hameed (10 out of 11 patents)

Mohamed Shahim (10 out of 10 patents)

Raju Datla (10 out of 10 patents)

4. Wajahat Qadeer (9 out of 10 patents)

5. Suresh Kumar Vennam (9 out of 9 patents)

6. Peter Fontana (7 out of 25 patents)

7. Sreenivas Reddy (6 out of 9 patents)

8. Roger W Fincher (6 out of 51 patents)

9. Lava Kumar Bokam (6 out of 6 patents)

10. Abhilash Bharath Ghanore (6 out of 6 patents)

11. Larry A Watkins (4 out of 44 patents)

12. James W Macfarlane (4 out of 5 patents)

13. Sameek Banerjee (4 out of 4 patents)

14. Roland May (3 out of 8 patents)

15. Rajashekar Reddy Ereddy (3 out of 3 patents)

Core Competencies:

Neural Network Execution

Data-Transfer Bandwidth

Parallel Processing

Artificial Neural Networks

Hybrid Quantization

Tensor Traversal Engine

Deep Learning

Command Queuing

26 patents: Sort by Forward Citations

1. 12619515 - System and method for profiling on-chip performance of neural network execution (2026-05-05),

2. 12561576 - Processor system and method for increasing data-transfer bandwidth during execution of a scheduled parallel process (2026-02-24),

3. 12373257 - Method for static scheduling of artificial neural networks for a processor (2025-07-29),

4. 12307252 - Deep vision processor (2025-05-20),

5. 12210902 - System and method for maintaining dependencies in a parallel process (2025-01-28),

6. 12205011 - Method for automatic hybrid quantization of deep artificial neural networks (2025-01-21),

7. 12190113 - Method and tensor traversal engine for strided memory access during execution of neural networks (2025-01-07),

8. 12026628 - Processor system and method for increasing data-transfer bandwidth during execution of a scheduled parallel process (2024-07-02),

9. 11941440 - System and method for queuing commands in a deep learning processor (2024-03-26),

10. 11763158 - Method for automatic hybrid quantization of deep artificial neural networks (2023-09-19),

11. 11734006 - Deep vision processor (2023-08-22),

12. 11714651 - Method and tensor traversal engine for strided memory access during execution of neural networks (2023-08-01),

13. 11550586 - Method and tensor traversal engine for strided memory access during execution of neural networks (2023-01-10),

14. 11526767 - Processor system and method for increasing data-transfer bandwidth during execution of a scheduled parallel process (2022-12-13),

15. 11513847 - System and method for queuing commands in a deep learning processor (2022-11-29),

Company Overview

Deep Vision, Inc., based in Los Altos, California, specializes in advanced artificial intelligence and computer vision technologies. The company focuses on developing innovative solutions that enhance visual perception for various applications, including autonomous systems and smart devices. By leveraging cutting-edge algorithms and machine learning techniques, Deep Vision aims to transform how machines interpret and interact with the visual world, contributing to advancements in sectors such as robotics, automotive, and smart surveillance.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

26 Patents

#7 in Los Altos, CA

#3,044 in California

#12,875 in US

#24,848 in the World

Los Altos, CA, United States of America

Deep Vision, Inc.

Forward Citations = 348

29 inventors:

Rehan Hameed (10 out of 11 patents)

Mohamed Shahim (10 out of 10 patents)

Raju Datla (10 out of 10 patents)

4. Wajahat Qadeer (9 out of 10 patents)

5. Suresh Kumar Vennam (9 out of 9 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Deep Vision, Inc.. Retrieved from https://idiyas.com/company/deep-vision

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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