Trademarks = 2

Forward Citations = 13

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5 inventors (with patents filed for the assignee):

Apoorv Agarwal (7 out of 11 patents)

Ethan Benjamin (7 out of 8 patents)

Jasneet Singh Sabharwal (6 out of 8 patents)

4. Xing Zeng (1 out of 1 patent)

5. Xiao Liu (1 out of 1 patent)

7 patents: Sort by Forward Citations

1. 12493641 - Automatic document classification (2025-12-09),

2. 12314665 - Identifying documents that contain potential code words using a machine learning model (2025-05-27),

3. 12125000 - Automatic document classification (2024-10-22),

4. 11907660 - Identifying documents that contain potential code words using a machine learning model (2024-02-20),

5. 11631021 - Identifying and ranking potentially privileged documents using a machine learning topic model (2023-04-18),

6. 11625534 - Identifying documents that contain potential code words using a machine learning model (2023-04-11),

7. 11574287 - Automatic document classification (2023-02-07),

Company Overview

Text IQ is a leading provider of AI-driven sensitive information detection and protection solutions for enterprises. Their platform utilizes machine learning to accurately identify and secure sensitive data, helping organizations mitigate risk and maintain compliance with data privacy regulations.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

7 Patents

#903 in New York, NY

#2,359 in New York

#39,907 in US

New York, NY, United States of America

Text Iq, Inc.

Forward Citations = 13

5 inventors:

Apoorv Agarwal (7 out of 11 patents)

Ethan Benjamin (7 out of 8 patents)

Jasneet Singh Sabharwal (6 out of 8 patents)

4. Xing Zeng (1 out of 1 patent)

5. Xiao Liu (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Text Iq, Inc.. Retrieved from https://idiyas.com/company/text-iq

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]