For the Inventor, By the Inventor

Enter assignee name

Minnetonka, MN, United States of America

Optum, Inc.

Calculating rank

USPTO Granted Patents = 289

% Expired Patents = 0.35

EPO Patents = 2

Trademarks = 107

Forward Citations = 863

Loading Chart...

Loading Chart...

544 inventors (with patents filed for the assignee):

Gregory J Boss (22 out of 728 patents)

Anita C Hart (19 out of 19 patents)

Suman Roy (10 out of 30 patents)

4. Vijay S Nori (9 out of 13 patents)

5. Jon Kevin Muse (9 out of 19 patents)

6. Ayush Tomar (9 out of 10 patents)

7. Christopher A Hane (8 out of 11 patents)

8. Ramprasad Anandam Gaddam (8 out of 8 patents)

9. Damian Kelly (7 out of 19 patents)

10. Daniel L Binkley (7 out of 7 patents)

11. Ayan Sengupta (7 out of 14 patents)

12. Rick A Hamilton, Ii (7 out of 1,057 patents)

13. Christopher Wrenn Porter (7 out of 7 patents)

14. Alysia Alexander (7 out of 7 patents)

15. Lisa A Hodne (6 out of 6 patents)

Core Competencies:

Data Analysis

Document Processing

Healthcare

Machine Learning

Predictive Modeling

Natural Language Processing

Automated Scheduling

Clustering Algorithms

Digital Imaging

Federated Queries

Data Compliance

Seizure Prediction

289 patents: Sort by Forward Citations

1. 12794867 - System and method for field-level encryption using multiple groups of data encryption keys (2026-11-10),

2. 12792891 - Classification prediction using attention-based machine learning techniques with temporal sequence data and dynamic co-occurrence graph data objects (2026-11-10),

3. 12783908 - Attention-based classifier machine learning models using dual-positional-mode segment embeddings (2026-11-03),

4. 12762883 - Selective input data generation for machine learning models (2026-10-13),

5. 12762440 - Machine learning techniques for denoising input sequences (2026-10-13),

6. 12755135 - Attention-based machine learning techniques using temporal sequence data and dynamic co-occurrence graph data objects (2026-10-06),

7. 12754917 - Automated language model-based training framework for machine learning classifiers (2026-10-06),

8. 12749020 - Reinforcement learning for machine learning models using dynamic confidence thresholds (2026-09-29),

9. 12749017 - Machine learning evaluation for detecting feature bias (2026-09-29),

10. 12749016 - Machine learning evaluation for detecting feature bias (2026-09-29),

11. 12748954 - Data imputation using an interconnected variational autoencoder model (2026-09-29),

12. 12748844 - Source code vulnerability detection using deep learning (2026-09-29),

13. 12743621 - Model understandability (2026-09-22),

14. 12737821 - Provider activity anomaly detection (2026-09-15),

15. 12737541 - Deep model integration techniques for machine learning entity interpretation (2026-09-15),

Company Overview

Optum, Inc., headquartered in Minnetonka, MN, specializes in leveraging advanced machine learning techniques to enhance healthcare services. The company focuses on data analysis, document processing, and predictive modeling to improve patient outcomes and streamline healthcare operations. With expertise in natural language processing and automated scheduling, Optum aims to optimize healthcare delivery through innovative technology solutions. Their work in clustering algorithms further supports the development of tailored healthcare strategies, making a significant impact in the industry.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 10 2026

289 Patents

#2 in Minnetonka, MN

#38 in Minnesota

#1,523 in US

#3,079 in the World

Minnetonka, MN, United States of America

Optum, Inc.

Forward Citations = 863

544 inventors:

Gregory J Boss (22 out of 728 patents)

Anita C Hart (19 out of 19 patents)

Suman Roy (10 out of 30 patents)

4. Vijay S Nori (9 out of 13 patents)

5. Jon Kevin Muse (9 out of 19 patents)

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

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]

Loading…