Mountain View, CA, United States of America

Datavisor, Inc.

Calculating rank
USPTO Granted Patents = 12

Trademarks = 2

Forward Citations = 147

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21 inventors (with patents filed for the assignee):

goldMedal Fang Yu (11 out of 86 patents)

silverMedal Yinglian Xie (9 out of 25 patents)

bronzeMedal Olivia Wang (3 out of 3 patents)

4.  Ting-Fang Yen (2 out of 13 patents)

5.  Catherine Lu (1 out of 1 patent)

6.  Patrick Glenn Murray (1 out of 1 patent)

7.  Ming Qi (1 out of 1 patent)

8.  Shuo Shan (1 out of 1 patent)

9.  Yuhao Zheng (1 out of 2 patents)

10.  Kuanyu Chu (1 out of 1 patent)

11.  Hongyu Cui (1 out of 1 patent)

12.  Arthur Meng (1 out of 1 patent)

13.  Zhong Wu (1 out of 1 patent)

14.  Yunfeng Xi (1 out of 1 patent)

15.  Cong A Meng (1 out of 1 patent)


12 patents:

Company Overview
Datavisor, Inc. is a technology company based in Mountain View, California, specializing in advanced fraud detection and prevention solutions. The organization leverages machine learning and big data analytics to help businesses identify and mitigate fraudulent activities across various sectors, including finance and e-commerce. By utilizing innovative algorithms and a robust data-driven approach, Datavisor empowers organizations to safeguard their operations and enhance customer trust in an increasingly digital landscape.
Profile summary synthesized from public USPTO records and patent filings.

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USPTO Data Jan 1 1976 - Oct 27 2026

12 Patents

#223 in Mountain View, CA

#6,069 in California

#25,589 in US

#48,235 in the World

Mountain View, CA (US)
Mountain View, CA, United States of America
Forward Citations = 147

21 inventors:

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

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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