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Franklin, TN, United States of America

Digital Reasoning Systems, Inc.

USPTO Granted Patents = 21

EPO Patents = 1

Trademarks = 1

Forward Citations = 510

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28 inventors (with patents filed for the assignee):

Phillip Daniel Michalak (9 out of 9 patents)

Timothy Wayne Estes (8 out of 12 patents)

James Johnson Gardner (8 out of 8 patents)

4. Matthew Russell (8 out of 8 patents)

5. Kenneth Loran Graham (7 out of 9 patents)

6. Vishnuvardhan Balluru (5 out of 5 patents)

7. Keith Ellis Massey (4 out of 4 patents)

8. John Wagster (3 out of 3 patents)

9. Robert Metcalf (2 out of 2 patents)

10. Sarah Cannon (2 out of 2 patents)

11. Adam Jaggers (2 out of 2 patents)

12. Bill Dipietro (2 out of 2 patents)

13. John Frey (2 out of 2 patents)

14. Naomi Hilliard (2 out of 2 patents)

15. James L Whitaker (2 out of 8 patents)

21 patents: Sort by Forward Citations

1. 12423529 - Low-resource multilingual machine learning framework (2025-09-23),

2. 12412143 - Systems and methods for creating, training, and evaluating models, scenarios, lexicons, and policies (2025-09-09),

3. 12106078 - Systems and methods for rapidly building, managing, and sharing machine learning models (2024-10-01),

4. 12026455 - Systems and methods for construction, maintenance, and improvement of knowledge representations (2024-07-02),

5. 11640494 - Systems and methods for construction, maintenance, and improvement of knowledge representations (2023-05-02),

6. 11019107 - Systems and methods for identifying violation conditions from electronic communications (2021-05-25),

7. 10878184 - Systems and methods for construction, maintenance, and improvement of knowledge representations (2020-12-29),

8. 10339440 - Systems and methods for neural language modeling (2019-07-02),

9. 10108709 - Systems and methods for queryable graph representations of videos (2018-10-23),

10. 10049162 - Knowledge discovery agent system (2018-08-14),

11. 9923931 - Systems and methods for identifying violation conditions from electronic communications (2018-03-20),

12. 9858340 - Systems and methods for queryable graph representations of videos (2018-01-02),

13. 9697192 - Systems and methods for construction, maintenance, and improvement of knowledge representations (2017-07-04),

14. 9633002 - Systems and methods for coreference resolution using selective feature activation (2017-04-25),

15. 9535902 - Systems and methods for entity resolution using attributes from structured and unstructured data (2017-01-03),

Company Overview

Digital Reasoning Systems, Inc. specializes in advanced artificial intelligence and machine learning technologies, focusing on natural language processing and cognitive computing. The company develops solutions that enable organizations to extract insights from vast amounts of unstructured data, enhancing decision-making and operational efficiency. Based in Franklin, TN, Digital Reasoning serves various sectors, including finance, healthcare, and government, leveraging its expertise to address complex data challenges and improve analytical capabilities.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

21 Patents

#15 in Franklin, TN

#152 in Tennessee

#15,712 in US

#30,001 in the World

Franklin, TN, United States of America

Digital Reasoning Systems, Inc.

Forward Citations = 510

28 inventors:

Phillip Daniel Michalak (9 out of 9 patents)

Timothy Wayne Estes (8 out of 12 patents)

James Johnson Gardner (8 out of 8 patents)

4. Matthew Russell (8 out of 8 patents)

5. Kenneth Loran Graham (7 out of 9 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Digital Reasoning Systems, Inc.. Retrieved from https://idiyas.com/company/digital-reasoning-systems

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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