San Francisco, CA, United States of America

6Sense Insights, Inc.


USPTO Granted Patents = 18


Trademarks = 9

Forward Citations = 10

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51 inventors (with patents filed for the assignee):

goldMedal Viral Bajaria (9 out of 9 patents)

silverMedal Premal Shah (6 out of 6 patents)

bronzeMedal Nitin Vijayvargiya (6 out of 6 patents)

4.  Dustin Chang (4 out of 4 patents)

5.  Amanda Kahlow (4 out of 4 patents)

6.  Tai Vo (3 out of 3 patents)

7.  Rohit Kewalramani (2 out of 4 patents)

8.  Akshara Palakodety (2 out of 2 patents)

9.  Daniel Hsiung (2 out of 2 patents)

10.  Yulia Tyutina (2 out of 2 patents)

11.  Justin Chien (2 out of 2 patents)

12.  Tarun Bansal (1 out of 2 patents)

13.  Daniel Carmody (1 out of 1 patent)

14.  Amar Doshi (1 out of 1 patent)

15.  Chihi Tai (1 out of 1 patent)


18 patents:

Company Overview
6Sense Insights, Inc. is a technology company based in San Francisco, specializing in account-based orchestration and predictive analytics. The organization leverages advanced AI and machine learning to enhance sales and marketing strategies, enabling businesses to identify and engage potential customers more effectively. By focusing on data-driven insights, 6Sense empowers organizations to optimize their revenue generation processes and improve overall customer engagement in a competitive landscape.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 13 2026

18 Patents

#264 in San Francisco, CA

#4,288 in California

#17,963 in US

#34,217 in the World

San Francisco, CA (US)
San Francisco, CA, United States of America
Forward Citations = 10

51 inventors:

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: 6Sense Insights, Inc.. Retrieved from https://idiyas.com/company/6sense-insights

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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