For the Inventor, By the Inventor

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Dulles, VA, United States of America

Adap.tv, Inc.

USPTO Granted Patents = 61

Forward Citations = 47

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31 inventors (with patents filed for the assignee):

Brendan Kitts (39 out of 48 patents)

Dyng Au (36 out of 41 patents)

Amir Cory (15 out of 18 patents)

4. Shubo Liu (15 out of 15 patents)

5. Brian M Burdick (15 out of 23 patents)

6. Alfred Lee (11 out of 17 patents)

7. Amanda Powter (8 out of 9 patents)

8. Liang Wei (8 out of 10 patents)

9. Jon Borchardt (6 out of 6 patents)

10. Michael Bardaro (5 out of 5 patents)

11. Sawin Lee (5 out of 5 patents)

12. Garrett James Badeau (5 out of 6 patents)

13. Amir Ashkenazi (4 out of 26 patents)

14. Katherine Krzoska (4 out of 4 patents)

15. Trond Erling Grenager (4 out of 4 patents)

Core Competencies:

Online Video Advertising

Demographic Targeting

Multi-Channel Media

Ad Serving

Data Utilization

Return on Investment

Television Scoring

Optimization Strategies

Targeted Media Delivery

Web Page Advertisements

Attribution Analysis

Campaign Tracking

61 patents: Sort by Forward Citations

1. 12536560 - Adaptable implementation of online video advertising (2026-01-27),

2. 12499473 - Displaying web page advertisements in online video players (2025-12-16),

3. 12393966 - Systems and methods for priority-based optimization of data element utilization (2025-08-19),

4. 12363366 - Systems and methods for web spike attribution (2025-07-15),

5. 12361436 - Systems and methods for analyzing data element distribution across a network (2025-07-15),

6. 12342025 - Systems and methods of dynamic optimization of data element utilization according to objectives (2025-06-24),

7. 12299711 - System and method for determining effects of multi-channel media sources on multi-channel conversion events (2025-05-13),

8. 12219191 - Systems and methods for optimized delivery of targeted media (2025-02-04),

9. 12205136 - Adaptable implementation of online video advertising (2025-01-21),

10. 12069346 - Systems and methods for a television scoring service that learns to reach a target audience (2024-08-20),

11. 12062070 - Ad serving with multiple goals using constraint error minimization (2024-08-13),

12. 12014212 - Systems and methods for optimization of data element utilization using demographic data (2024-06-18),

13. 11997333 - System and method for tracking advertiser return on investment using set top box data (2024-05-28),

14. 11949936 - Systems and methods for addressable targeting of electronic content (2024-04-02),

15. 11893602 - Systems and methods for optimization of data element utilization according to multi-touch attribution (2024-02-06),

Company Overview

Adap.tv, Inc., based in Dulles, VA, specializes in online video advertising solutions that enhance the effectiveness of digital marketing campaigns. The company focuses on demographic targeting and multi-channel media strategies, enabling advertisers to optimize their ad serving and maximize return on investment. By leveraging data utilization and advanced optimization techniques, Adap.tv aims to improve television scoring and overall advertising performance, making it a key player in the evolving landscape of online video advertising.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

61 Patents

#5 in Dulles, VA

#91 in Virginia

#5,917 in US

#11,930 in the World

Dulles, VA, United States of America

Adap.tv, Inc.

Forward Citations = 47

31 inventors:

Brendan Kitts (39 out of 48 patents)

Dyng Au (36 out of 41 patents)

Amir Cory (15 out of 18 patents)

4. Shubo Liu (15 out of 15 patents)

5. Brian M Burdick (15 out of 23 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Adap.tv, Inc.. Retrieved from https://idiyas.com/company/adap-tv

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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