For the Inventor, By the Inventor

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London, United Kingdom

Deep Render Ltd.

USPTO Granted Patents = 25

Forward Citations = 92

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18 inventors (with patents filed for the assignee):

Arsalan Zafar (24 out of 27 patents)

Alexander Lytchier (18 out of 19 patents)

Chri Besenbruch (17 out of 18 patents)

4. Jan Xu (17 out of 20 patents)

5. Vira Koshkina (15 out of 16 patents)

6. Christopher Finlay (15 out of 16 patents)

7. Ciro Cursio (12 out of 12 patents)

8. Chris Finlay (4 out of 6 patents)

9. Jonathan Rayner (4 out of 6 patents)

10. Aleksandar Cherganski (4 out of 6 patents)

11. Christian Lars Besenbruch (3 out of 3 patents)

12. Tom Ryder (3 out of 5 patents)

13. Christian Besenbruch (3 out of 5 patents)

14. Christian Etmann (3 out of 4 patents)

15. Thomas Ryder (2 out of 2 patents)

Core Competencies:

Image Compression

Video Compression

Lossy Encoding

Data Processing

Neural Networks

Transmission Systems

Decoding Methods

Training Systems

25 patents: Sort by Forward Citations

1. 12323593 - Image compression and decoding, video compression and decoding: methods and systems (2025-06-03),

2. 12256075 - Image compression and decoding, video compression and decoding: methods and systems (2025-03-18),

3. 12167003 - Method and data processing system for lossy image or video encoding, transmission, and decoding (2024-12-10),

4. 12160579 - Image compression and decoding, video compression and decoding: methods and systems (2024-12-03),

5. 12113985 - Method and data processing system for lossy image or video encoding, transmission and decoding (2024-10-08),

6. 12095994 - Image compression and decoding, video compression and decoding: methods and systems (2024-09-17),

7. 12081759 - Image compression and decoding, video compression and decoding: methods and systems (2024-09-03),

8. 12075053 - Image compression and decoding, video compression and decoding: methods and systems (2024-08-27),

9. 12028525 - Image compression and decoding, video compression and decoding: methods and systems (2024-07-02),

10. 12026924 - Method and data processing system for lossy image or video encoding, transmission and decoding (2024-07-02),

11. 12022077 - Image compression and decoding, video compression and decoding: methods and systems (2024-06-25),

12. 12015776 - Image compression and decoding, video compression and decoding: methods and systems (2024-06-18),

13. 11985319 - Image compression and decoding, video compression and decoding: methods and systems (2024-05-14),

14. 11936866 - Method and data processing system for lossy image or video encoding, transmission and decoding (2024-03-19),

15. 11893762 - Method and data processing system for lossy image or video encoding, transmission and decoding (2024-02-06),

Company Overview

Deep Render Ltd. is a London-based technology company specializing in advanced artificial intelligence solutions for media and entertainment. The organization focuses on developing innovative algorithms and software that enhance video and audio quality, enabling efficient content delivery and improved user experiences. By leveraging cutting-edge machine learning techniques, Deep Render aims to transform how digital media is processed and consumed, positioning itself at the forefront of the evolving landscape of multimedia technology.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

25 Patents

#148 in London

#703 in United Kingdom

#25,730 in the World

London, United Kingdom

Deep Render Ltd.

Forward Citations = 92

18 inventors:

Arsalan Zafar (24 out of 27 patents)

Alexander Lytchier (18 out of 19 patents)

Chri Besenbruch (17 out of 18 patents)

4. Jan Xu (17 out of 20 patents)

5. Vira Koshkina (15 out of 16 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Deep Render Ltd.. Retrieved from https://idiyas.com/company/deep-render

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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