For the Inventor, By the Inventor

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San Francisco, CA, United States of America

Recommind, Inc.

Calculating rank

USPTO Granted Patents = 23

Trademarks = 3

Forward Citations = 878

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15 inventors (with patents filed for the assignee):

Jan Puzicha (14 out of 25 patents)

Thomas Hofmann (9 out of 13 patents)

Steve Vranas (4 out of 10 patents)

4. Robert Tennant (4 out of 4 patents)

5. Jan Stadermann (2 out of 12 patents)

6. Jan Christian Puzicha (2 out of 2 patents)

7. Denis Jager (1 out of 2 patents)

8. Uri Zernik (1 out of 6 patents)

9. Julian Markus Riediger (1 out of 5 patents)

10. Christian Feuersänger (1 out of 2 patents)

11. Dietrich Wettschereck (1 out of 2 patents)

12. Stephan Symons (1 out of 1 patent)

13. Ingo Thon (1 out of 1 patent)

14. Richard Verschoor (1 out of 1 patent)

15. Andy Homg (1 out of 1 patent)

23 patents: Sort by Forward Citations

1. 9785634 - Integration and combination of random sampling and document batching (2017-10-10),

2. 9715625 - Hierarchical information extraction using document segmentation and optical character recognition correction (2017-07-25),

3. 9595005 - Systems and methods for predictive coding (2017-03-14),

4. 9495347 - Systems and methods for extracting table information from documents (2016-11-15),

5. 9460164 - Apparatus and method for single action approval of legally categorized documents (2016-10-04),

6. 9374375 - Systems and methods for publishing datasets (2016-06-21),

7. 8984028 - Systems and methods for storing data and eliminating redundancy (2015-03-17),

8. 8965886 - System and method for providing information navigation and filtration (2015-02-24),

9. 8856642 - Information extraction and annotation systems and methods for documents (2014-10-07),

10. 8843442 - Systems and methods for publishing datasets (2014-09-23),

11. 8793215 - Systems and methods for publishing datasets (2014-07-29),

12. 8589419 - System and method for establishing relevance of objects in an enterprise system (2013-11-19),

13. 8554716 - Systems and methods for predictive coding (2013-10-08),

14. 8533148 - Document relevancy analysis within machine learning systems including determining closest cosine distances of training examples (2013-09-10),

15. 8489538 - Systems and methods for predictive coding (2013-07-16),

Company Overview

Recommind, Inc. is a technology company based in San Francisco, specializing in advanced information retrieval and analytics solutions. The organization focuses on developing software that enhances data management and decision-making processes, particularly in the realms of eDiscovery and enterprise search. By leveraging machine learning and natural language processing, Recommind aims to empower organizations to efficiently navigate vast amounts of unstructured data, facilitating better insights and operational efficiency.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

23 Patents

#200 in San Francisco, CA

#3,424 in California

#14,450 in US

#27,736 in the World

San Francisco, CA, United States of America

Recommind, Inc.

Forward Citations = 878

15 inventors:

Jan Puzicha (14 out of 25 patents)

Thomas Hofmann (9 out of 13 patents)

Steve Vranas (4 out of 10 patents)

4. Robert Tennant (4 out of 4 patents)

5. Jan Stadermann (2 out of 12 patents)

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

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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