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For the Inventor, By the Inventor

Burlington, MA, United States of America

Avid Technology Limited


USPTO Granted Patents = 362

% Expired Patents = 11.6



Trademarks = 50

Forward Citations = 19,980

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367 inventors (with patents filed for the assignee):

goldMedal Eric C Peters (60 out of 70 patents)

silverMedal Robert A Gonsalves (42 out of 45 patents)

bronzeMedal Peter J Fasciano (35 out of 35 patents)

4.  Shailendra Mathur (21 out of 22 patents)

5.  Michael Eric Phillips (20 out of 27 patents)

6.  Stanley Rabinowitz (18 out of 18 patents)

7.  Katherine H Cornog (16 out of 21 patents)

8.  Herbert R Jacobs (14 out of 14 patents)

9.  Jeffrey D Kurtze (13 out of 17 patents)

10.  Brian C Cooper (12 out of 13 patents)

11.  Craig R Frink (11 out of 44 patents)

12.  Joseph H Rice (11 out of 12 patents)

13.  Patrick D O'Connor (10 out of 10 patents)

14.  Michael Chilton Sheasby (9 out of 15 patents)

15.  Harry Der (9 out of 9 patents)


Core Competencies:
Augmented Reality
Adaptive Deep Learning
Audio Signal Optimization
Media Composition
Video Editing
Data Exchange
Real-Time Collaboration
Synchronous Playback
Music Creation
Multimedia Systems
Media Indexing
Video Compression

362 patents:

1. 12763107 - Artificial intelligence and machine learning for transcription and translation for media editing (2026-10-13),
2. 12699728 - Dynamic bin creation (2026-08-04),
3. 12694856 - Context-aware input gestures for music creation applications (2026-07-28),
4. 12602887 - Augmented reality control surface (2026-04-14),
5. 12506887 - Fixed rate intraframe compression and decompression of video based on visual quality (2025-12-23),
6. 12299936 - Low-bitrate encoding of high dynamic range content (2025-05-13),
7. 12288371 - Finding the semantic region of interest in images (2025-04-29),
8. 12272381 - Difference engine for media change management (2025-04-08),
9. 12205618 - Context-based media indexing (2025-01-21),
10. 12117863 - Four-axis positional input device (2024-10-15),
11. 12020723 - Embedded plug-in presentation and control of time-based media documents (2024-06-25),
12. 12020671 - Data exchange for music creation applications (2024-06-25),
13. 11875764 - Data-driven autosuggestion within media content creation (2024-01-16),
14. 11837206 - Multidimensional gestures for music creation applications (2023-12-05),
15. 11768868 - Adaptive deep learning for efficient media content creation and manipulation (2023-09-26),
Company Overview
Avid Technology Limited, headquartered in Burlington, MA, specializes in innovative solutions for media content creation. The company focuses on enhancing the production and post-production processes through advanced technologies such as augmented reality, adaptive deep learning, and audio signal optimization. Avid's offerings include tools for media composition, video editing, and real-time collaboration, enabling seamless data exchange and synchronous playback. Their commitment to empowering creators positions them as a leader in the evolving landscape of digital media.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 13 2026

Avid Technology Limited USPTO Patent Assignee Logo
362 Patents

#3 in Burlington, MA

#71 in Massachusetts

#1,261 in US

#2,537 in the World

Burlington, MA (US)
Burlington, MA, United States of America

Avid Technology Limited

Forward Citations = 19,980

367 inventors:

goldMedal Eric C Peters (60 out of 70 patents)

silverMedal Robert A Gonsalves (42 out of 45 patents)

bronzeMedal Peter J Fasciano (35 out of 35 patents)

4.  Shailendra Mathur (21 out of 22 patents)

5.  Michael Eric Phillips (20 out of 27 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Avid Technology Limited. Retrieved from https://idiyas.com/company/avid-technology

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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