For the Inventor, By the Inventor

Enter assignee name

Vienna, VA, United States of America

Seekr Technologies, Inc.

USPTO Granted Patents = 14

Trademarks = 2

Forward Citations = 47

Loading Chart...

Loading Chart...

14 inventors (with patents filed for the assignee):

Stefanos Poulis (10 out of 10 patents)

Robin J Clark (9 out of 9 patents)

Patrick C Condo (7 out of 7 patents)

4. Diego A Mesa (4 out of 4 patents)

5. Andrew J Bauer (4 out of 4 patents)

6. Gregory Bauwens (3 out of 3 patents)

7. Rachel Peittersen (3 out of 3 patents)

8. Ali Taleb Zadeh Kasgari (2 out of 2 patents)

9. Darshan Mallenahalli Shankaralingappa (1 out of 2 patents)

10. Matteo Catena (1 out of 2 patents)

11. Berkant Barla Cambazoglu (1 out of 1 patent)

12. Ricardo Baeza-Yates (1 out of 2 patents)

13. Patrick K Condo (1 out of 1 patent)

14. Robin K Clark (1 out of 1 patent)

14 patents: Sort by Forward Citations

1. 12579475 - Artificial intelligence model generated using agentic workflow system and method for artificial intelligence model aligned with domain-specific principles (2026-03-17),

2. D1109183 - Display screen or portion thereof with a graphical user interface with a civility score (2026-01-13),

3. 12511557 - System and method for explaining and contesting outcomes of generative AI models with desired explanation properties (2025-12-30),

4. 12499387 - Question answer (QA) pair generation using agentic workflow system and method that aligns artificial intelligence model with domain-specific principles (2025-12-16),

5. D1096797 - Display screen or portion thereof with a graphical user interface with a civility score (2025-10-07),

6. D1094414 - Display screen or portion thereof with a graphical user interface with a civility score (2025-09-23),

7. 12293272 - Agentic workflow system and method for generating synthetic data for training or post training artificial intelligence models to be aligned with domain-specific principles (2025-05-06),

8. 12254872 - Search system and method having civility score (2025-03-18),

9. 12210535 - Search system and method having quality scoring (2025-01-28),

10. 12182678 - Systems and methods for aligning large multimodal models (LMMs) or large language models (LLMs) with domain-specific principles (2024-12-31),

11. 12174903 - Search system and method having quality scoring (2024-12-24),

12. 12124932 - Systems and methods for aligning large multimodal models (LMMs) or large language models (LLMs) with domain-specific principles (2024-10-22),

13. 11921731 - Pipeline for document scoring (2024-03-05),

14. 11893981 - Search system and method having civility score (2024-02-06),

Company Overview

Seekr Technologies, Inc. is a technology company based in Vienna, VA, specializing in advanced search and discovery solutions. The organization focuses on developing innovative tools that enhance information retrieval and data analysis, catering to a variety of sectors including digital content management and enterprise solutions. By leveraging cutting-edge algorithms and machine learning techniques, Seekr aims to improve user experience and streamline access to relevant information across diverse platforms.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

14 Patents

#11 in Vienna, VA

#377 in Virginia

#22,333 in US

#42,290 in the World

Vienna, VA, United States of America

Seekr Technologies, Inc.

Forward Citations = 47

14 inventors:

Stefanos Poulis (10 out of 10 patents)

Robin J Clark (9 out of 9 patents)

Patrick C Condo (7 out of 7 patents)

4. Diego A Mesa (4 out of 4 patents)

5. Andrew J Bauer (4 out of 4 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Seekr Technologies, Inc.. Retrieved from https://idiyas.com/company/seekr-technologies

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]

Loading…