Menlo Park, CA, United States of America

Yva.ai, Inc.

Calculating rank

USPTO Granted Patents = 4

Forward Citations = 1

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9 inventors (with patents filed for the assignee):

David Yan (4 out of 10 patents)

Victor Kuznetsov (3 out of 8 patents)

Aleksandr Mertvetsov (3 out of 3 patents)

4. Marina Chilingaryan (2 out of 2 patents)

5. Victor Bocharov (2 out of 2 patents)

6. Polina Kananykina (2 out of 2 patents)

7. Anton Gordienko (2 out of 2 patents)

8. Eric Pelletier (1 out of 1 patent)

9. Viacheslav Seledkin (1 out of 3 patents)

4 patents: Sort by Forward Citations

1. 11288616 - Method of using machine learning to predict problematic actions within an organization (2022-03-29),

2. 11074285 - Recursive agglomerative clustering of time-structured communications (2021-07-27),

3. 10904196 - Task assistant (2021-01-26),

4. 10560417 - Task assistant (2020-02-11),

Company Overview

Yva.ai, Inc. is a leading provider of AI-powered employee analytics and engagement solutions. Their platform utilizes advanced algorithms to analyze employee data and provide actionable insights to improve team performance and productivity. With a focus on data-driven decision-making, Yva.ai helps organizations make informed choices to enhance employee engagement and retention.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

4 Patents

#241 in Menlo Park, CA

#14,063 in California

#60,704 in US

Menlo Park, CA, United States of America

Yva.ai, Inc.

Forward Citations = 1

9 inventors:

David Yan (4 out of 10 patents)

Victor Kuznetsov (3 out of 8 patents)

Aleksandr Mertvetsov (3 out of 3 patents)

4. Marina Chilingaryan (2 out of 2 patents)

5. Victor Bocharov (2 out of 2 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Yva.ai, Inc.. Retrieved from https://idiyas.com/company/yva-ai

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]