Forward Citations = 4

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5 inventors (with patents filed for the assignee):

Aparna Dhinakaran (6 out of 6 patents)

Jason Lopatecki (6 out of 27 patents)

Michael Schiff (3 out of 3 patents)

4. Francisco Castillo Carrasco (2 out of 2 patents)

5. Nathaniel Mar (1 out of 1 patent)

6 patents: Sort by Forward Citations

1. 12141670 - Systems and methods for optimizing a machine learning model (2024-11-12),

2. 12056586 - Data drift impact in a machine learning model (2024-08-06),

3. 11775871 - Optimizing machine learning based on embedding smart data drift (2023-10-03),

4. 11663527 - Embedding drift in a machine learning model (2023-05-30),

5. 11615345 - Systems and methods for optimizing a machine learning model (2023-03-28),

6. 11315043 - Systems and methods for optimizing a machine learning model (2022-04-26),

Company Overview

Arize Ai, Inc. is a leading provider of AI observability and monitoring solutions for machine learning models. Their platform helps companies improve the performance, reliability, and transparency of AI models in production. With advanced monitoring and visualization capabilities, Arize Ai enables organizations to streamline the deployment and maintenance of AI applications, leading to better business outcomes.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

6 Patents

#12 in Mill Valley, CA

#10,578 in California

#45,007 in US

Mill Valley, CA, United States of America

Arize Ai, Inc.

Forward Citations = 4

5 inventors:

Aparna Dhinakaran (6 out of 6 patents)

Jason Lopatecki (6 out of 27 patents)

Michael Schiff (3 out of 3 patents)

4. Francisco Castillo Carrasco (2 out of 2 patents)

5. Nathaniel Mar (1 out of 1 patent)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Arize Ai, Inc.. Retrieved from https://idiyas.com/company/arize-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]