Forward Citations = 335

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4 inventors (with patents filed for the assignee):

Zeev Neumeier (6 out of 61 patents)

Brian Reed (4 out of 15 patents)

Michael Collette (3 out of 28 patents)

4. W Leo Hoarty (1 out of 58 patents)

6 patents: Sort by Forward Citations

1. 9094715 - Systems and methods for multi-broadcast differentiation (2015-07-28),

2. 9094714 - Systems and methods for on-screen graphics detection (2015-07-28),

3. 9071868 - Systems and methods for improving server and client performance in fingerprint ACR systems (2015-06-30),

4. 9055335 - Systems and methods for addressing a media database using distance associative hashing (2015-06-09),

5. 9055309 - Systems and methods for identifying video segments for displaying contextually relevant content (2015-06-09),

6. 8930980 - Systems and methods for real-time television ad detection using an automated content recognition database (2015-01-06),

Company Overview

Cognitive Networks, Inc. is a leading provider of real-time data analytics for the media and entertainment industry. With their advanced technology, they enable content providers and advertisers to deliver more targeted and interactive experiences to viewers. Their platform helps transform traditional TV into a more engaging and personalized experience, driving higher viewer engagement and advertising effectiveness.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 13 2026

6 Patents

#666 in San Francisco, CA

#10,570 in California

#44,981 in US

San Francisco, CA, United States of America

Cognitive Networks, Inc.

Forward Citations = 335

4 inventors:

Zeev Neumeier (6 out of 61 patents)

Brian Reed (4 out of 15 patents)

Michael Collette (3 out of 28 patents)

4. W Leo Hoarty (1 out of 58 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Cognitive Networks, Inc.. Retrieved from https://idiyas.com/company/cognitive-networks

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]