For the Inventor, By the Inventor

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Reston, VA, United States of America

Noblis, Inc.

Calculating rank

USPTO Granted Patents = 68

% Expired Patents = 7.4

Trademarks = 19

Forward Citations = 168

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88 inventors (with patents filed for the assignee):

Mark Jason Sanders (9 out of 9 patents)

Matthew K Monaco (8 out of 8 patents)

Sterling Thomas (6 out of 6 patents)

4. Tyler W Barrus (5 out of 5 patents)

5. Nathan Dellinger (5 out of 5 patents)

6. Ilya Basin (5 out of 6 patents)

7. Daniel Negron (5 out of 5 patents)

8. Samuel S Gross (5 out of 5 patents)

9. Mark J Burge (4 out of 4 patents)

10. Brian Satira (4 out of 4 patents)

11. Victor J Pollara (4 out of 4 patents)

12. Shane Dillon Mitchell (4 out of 4 patents)

13. Mychal William Ivancich (4 out of 4 patents)

14. Jordan Cheney (3 out of 3 patents)

15. Timothy Patrick Ashenfelter (3 out of 3 patents)

Core Competencies:

Cyber-Physical Systems

Genomic Sequencing

Encryption Key Detection

Data Visualization

Adversarial Reinforcement Learning

Unmanned Aerial Vehicles

Biometric Recognition

Data Loss Prevention

Network Security

Simulation Platforms

PFAS Removal

DNA Sequencing

68 patents: Sort by Forward Citations

1. 12755569 - Systems and methods for automatically annotating multimodal data (2026-10-06),

2. 12699844 - Systems and methods for detecting errors and hallucinations in generative model output data (2026-08-04),

3. 12694312 - Generative adversarial networks for use in refining models for synthetic network traffic data (2026-07-28),

4. 12682086 - Electronic access control system (2026-07-14),

5. 12664254 - Password discovery system using a generative adversarial network (2026-06-23),

6. 12664230 - Hardware accelerated minor embedding for quantum annealing (2026-06-23),

7. 12631452 - Methods and systems for fusing kinematics data for a plurality of vehicles (2026-05-19),

8. 12554993 - Systems and methods for automatically generating computer programs by mutating code while ensuring code viability (2026-02-17),

9. 12499297 - Multi-layer cyber-physical systems simulation platform (2025-12-16),

10. 12411848 - Data investigation and visualization system (2025-09-09),

11. 12385078 - Bioelectrical sensor device (2025-08-12),

12. 12269591 - Unmanned aerial vehicle swarm path planning (2025-04-08),

13. 12246974 - Systems and methods of removing per- and polyfluoroalkyl substances (PFAS) with calcium oxide (2025-03-11),

14. 12242615 - Adversarial reinforcement learning system for simulating security checkpoint environments (2025-03-04),

15. 12195729 - Portable field-deployable nucleic acid sequencing kit (2025-01-14),

Company Overview

Noblis, Inc. is a nonprofit organization based in Reston, Virginia, specializing in advanced technology solutions for government and commercial sectors. The company focuses on cyber-physical systems, leveraging expertise in areas such as genomic sequencing, encryption key detection, and data visualization. Noblis also explores cutting-edge domains like adversarial reinforcement learning, unmanned aerial vehicles, and biometric recognition, aiming to enhance data security and operational efficiency across various applications.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

68 Patents

#10 in Reston, VA

#86 in Virginia

#5,378 in US

#10,898 in the World

Reston, VA, United States of America

Noblis, Inc.

Forward Citations = 168

88 inventors:

Mark Jason Sanders (9 out of 9 patents)

Matthew K Monaco (8 out of 8 patents)

Sterling Thomas (6 out of 6 patents)

4. Tyler W Barrus (5 out of 5 patents)

5. Nathan Dellinger (5 out of 5 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Noblis, Inc.. Retrieved from https://idiyas.com/company/noblis

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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