San Jose, CA, United States of America

Peernova, Inc.

Calculating rank
USPTO Granted Patents = 11

Forward Citations = 16

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15 inventors (with patents filed for the assignee):

goldMedal Gangesh Kumar Ganesan (6 out of 7 patents)

silverMedal David John Hudson (3 out of 3 patents)

bronzeMedal Kevin Michael Gee (2 out of 2 patents)

4.  Kartik Gupta (2 out of 2 patents)

5.  Benedicto De Souza Franco, Jr (1 out of 2 patents)

6.  Alexei Kozlenok (1 out of 2 patents)

7.  Andrew James Rasmussen (1 out of 1 patent)

8.  Nick Whidden (1 out of 1 patent)

9.  Benjamin Scott Gorlick (1 out of 1 patent)

10.  Arvind Agrawal (1 out of 2 patents)

11.  Erika Aine Lunceford (1 out of 1 patent)

12.  Mehmet Orun (1 out of 1 patent)

13.  Abraham Lloyd (1 out of 1 patent)

14.  Mehmet Orun (1 out of 1 patent)

15.  Abraham Lloyd (1 out of 1 patent)


11 patents:

Company Overview
Peernova is a Silicon Valley-based technology company that provides big data and blockchain solutions for enterprise clients. Their innovative platform enables organizations to securely manage and analyze massive amounts of data, improving operational efficiency and driving business growth. Peernova's team of experienced engineers and data scientists are dedicated to delivering cutting-edge solutions that meet the evolving needs of modern businesses.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Nov 3 2026

Peernova, Inc. USPTO Patent Assignee Logo
11 Patents

#500 in San Jose, CA

#6,550 in California

#27,566 in US

#51,876 in the World

San Jose, CA (US)
San Jose, CA, United States of America
Forward Citations = 16

15 inventors:

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

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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