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Austin, TX, United States of America

Mythic, Inc.

USPTO Granted Patents = 32

EPO Patents = 1

Trademarks = 2

Forward Citations = 66

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33 inventors (with patents filed for the assignee):

David Alan Fick (32 out of 38 patents)

Skylar Skrzyniarz (16 out of 17 patents)

Malav Parikh (15 out of 15 patents)

4. Laura E Fick (14 out of 15 patents)

5. Andrew Morten (13 out of 13 patents)

6. Manar El-Chammas (10 out of 10 patents)

7. Pei-Ci Wu (10 out of 10 patents)

8. Sergio Schuler (9 out of 14 patents)

9. Zainab Nasreen Zaidi (9 out of 9 patents)

10. Adam Caughron (7 out of 7 patents)

11. Paul Toth (7 out of 7 patents)

12. Vimal Reddy (7 out of 7 patents)

13. Alex Dang-Tran (7 out of 7 patents)

14. Raul Garibay (7 out of 8 patents)

15. Bryant Sorensen (7 out of 13 patents)

32 patents: Sort by Forward Citations

1. 12503982 - System and methods for mixed-signal computing (2025-12-23),

2. 12461888 - Systems and methods for implementing an intelligence processing computing architecture (2025-11-04),

3. 12406021 - Systems and methods for mapping matrix calculations to a matrix multiply accelerator (2025-09-02),

4. 12260165 - Systems and methods for intelligently buffer tracking for optimized dataflow within an integrated circuit architecture (2025-03-25),

5. 12205016 - Systems and methods for enhancing inferential accuracy of an artificial neural network during training on a mixed-signal integrated circuit (2025-01-21),

6. 12014214 - Tile subsystem and method for automated data flow and data processing within an integrated circuit architecture (2024-06-18),

7. 12013807 - Systems and methods for implementing an intelligence processing computing architecture (2024-06-18),

8. 11822376 - Systems and methods for intelligently buffer tracking for optimized dataflow within an integrated circuit architecture (2023-11-21),

9. 11726925 - System and methods for mixed-signal computing (2023-08-15),

10. 11720784 - Systems and methods for enhancing inferential accuracy of an artificial neural network during training on a mixed-signal integrated circuit (2023-08-08),

11. 11626884 - System and methods for mixed-signal computing (2023-04-11),

12. 11625519 - Systems and methods for intelligent graph-based buffer sizing for a mixed-signal integrated circuit (2023-04-11),

13. 11615165 - Systems and methods for mapping matrix calculations to a matrix multiply accelerator (2023-03-28),

14. 11475973 - Systems and methods for implementing redundancy for tile-based intelligence processing computing architecture (2022-10-18),

15. 11467984 - System and methods for mixed-signal computing (2022-10-11),

Mythic, Inc. is a leading technology company specializing in artificial intelligence (AI) solutions for a variety of industries. With a focus on deep learning algorithms and hardware accelerators, Mythic delivers breakthrough AI performance and efficiency. Their innovative solutions enable edge devices and data centers to process complex AI workloads at unprecedented speeds. Mythic's mission is to make AI more accessible and pervasive across industries, enabling transformative applications and driving the next wave of innovation.

This text is generated by artificial intelligence and may not be accurate.

Company Badge

USPTO Data Jan 1 1976 - Dec 30 2025

32 Patents

#96 in Austin, TX

#580 in Texas

#10,245 in US

#20,091 in the World

Austin, TX, United States of America

Mythic, Inc.

Forward Citations = 66

33 inventors:

David Alan Fick (32 out of 38 patents)

Skylar Skrzyniarz (16 out of 17 patents)

Malav Parikh (15 out of 15 patents)

4. Laura E Fick (14 out of 15 patents)

5. Andrew Morten (13 out of 13 patents)

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