For the Inventor, By the Inventor

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Honolulu, HI, United States of America

Oceanit Laboratories, Inc.

Calculating rank

USPTO Granted Patents = 84

% Expired Patents = 21.4

Trademarks = 8

Forward Citations = 694

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79 inventors (with patents filed for the assignee):

Vinod P Veedu (27 out of 32 patents)

Christopher J Sullivan (16 out of 23 patents)

Ganesh Arumugam (14 out of 15 patents)

4. Jacob Pollock (10 out of 17 patents)

5. Ashavani Kumar (9 out of 27 patents)

6. Sumil Thapa (8 out of 8 patents)

7. Glen Nakafuji (8 out of 9 patents)

8. Ken C K Cheung (8 out of 10 patents)

9. Venkat Kamavaram (7 out of 8 patents)

10. Patrick K Sullivan (7 out of 18 patents)

11. Matthew Nakatsuka (6 out of 6 patents)

12. Ryan Miyamoto (5 out of 8 patents)

13. David Siu (5 out of 6 patents)

14. Randy Wolfshagen (5 out of 5 patents)

15. Matthew Williams (5 out of 5 patents)

Core Competencies:

Artificial Intelligence

Machine Learning

Neural Activity Sensing

Ransomware Protection

Automated Coating

Microparticles

Optical Sensors

Hydrophobic Surfaces

Nanocomposites

Laser Communications

Acoustic Metamaterials

Thermal Management

84 patents: Sort by Forward Citations

1. 12601081 - Devices, systems, and methods for treatment of tubulars (2026-04-14),

2. 12594360 - Hemostatic microparticles and dressing (2026-04-07),

3. 12524529 - Devices, systems, and methods for using linguistic approaches to understand malicious programs (2026-01-13),

4. 12427224 - Hemostatic microparticles and dressing (2025-09-30),

5. 12415204 - Methods, devices, and systems for modular and mobile automated coating of tubes and tubular arrays using artificial intelligence (2025-09-16),

6. 12357224 - Methods and apparatus for non-invasive neural activity sensing (2025-07-15),

7. 12346833 - Systems and methods for artificial intelligence—and machine learning-based evaluations and explanations of problems (2025-07-01),

8. 12306937 - Devices, systems, and methods for ransomware protection and mitigation (2025-05-20),

9. 12305131 - Modular artificial intelligence-driven plasma gasification process for resource recovery (2025-05-20),

10. 12273643 - Adaptive, high speed optical digital sensor chip assembly for temporal sensing applications (2025-04-08),

11. 12189781 - Artificial intelligence-based fuzzing of cyber-physical systems (2025-01-07),

12. 12096125 - High-speed and high-resolution wide field scanning optics (2024-09-17),

13. 12089664 - Personal thermoregulation backpack and system using embedded flexible tubing (2024-09-17),

14. 12075860 - High-performing liquid-cooled apparel (2024-09-03),

15. 12054831 - Methods of manipulating surfaces for extreme hydrophilic, hydrophobic or omniphobic behavior and applications thereof (2024-08-06),

Company Overview

Oceanit Laboratories, Inc., based in Honolulu, HI, specializes in advanced technology solutions with a strong focus on artificial intelligence and machine learning. The company develops innovative applications in various fields, including neural activity sensing, ransomware protection, and automated coating technologies. Oceanit also explores the potential of microparticles, optical sensors, and hydrophobic surfaces, positioning itself at the forefront of cutting-edge research and development in these dynamic technological domains.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

84 Patents

#3 in Honolulu, HI

#3 in Hawaii

#4,431 in US

#9,067 in the World

Honolulu, HI, United States of America

Oceanit Laboratories, Inc.

Forward Citations = 694

79 inventors:

Vinod P Veedu (27 out of 32 patents)

Christopher J Sullivan (16 out of 23 patents)

Ganesh Arumugam (14 out of 15 patents)

4. Jacob Pollock (10 out of 17 patents)

5. Ashavani Kumar (9 out of 27 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Oceanit Laboratories, Inc.. Retrieved from https://idiyas.com/company/oceanit-laboratories

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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