For the Inventor, By the Inventor

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Boston, MA, United States of America

Datarobot, Inc.

USPTO Granted Patents = 29

% Expired Patents = 3.4

Trademarks = 4

Forward Citations = 317

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62 inventors (with patents filed for the assignee):

Jeremy Achin (12 out of 12 patents)

Xavier Conort (11 out of 11 patents)

Thomas DeGodoy (8 out of 8 patents)

4. Timothy Owen (8 out of 8 patents)

5. Mark L Steadman (6 out of 6 patents)

6. Sergey Yurgenson (5 out of 5 patents)

7. Glen Koundry (5 out of 5 patents)

8. Swaminathan Sundararaman (4 out of 43 patents)

9. Zachary Albert Mayer (3 out of 3 patents)

10. Hon Nian Chua (3 out of 3 patents)

11. Nisha D Talagala (3 out of 80 patents)

12. Michael Schmidt (3 out of 5 patents)

13. Gal Zuckerman (2 out of 86 patents)

14. Jesse Bannon (2 out of 2 patents)

15. John Bledsoe (2 out of 2 patents)

Core Competencies:

Data Forecasting

Neural Networks

Feature Engineering

Predictive Analytics

Model Performance

Data Anomalies

Time-Series

Machine Learning

Data Preparation

Model Interpretation

Auto-Query Generation

Symbolic Analysis

29 patents: Sort by Forward Citations

1. 12705549 - System and method of segmenting data and forecasting by a combination of models trained on segmented data (2026-08-11),

2. 12699896 - Automated and adaptive design and training of neural networks (2026-08-04),

3. 12632778 - Automated feature engineering for machine learning models (2026-05-19),

4. 12566993 - Systems and techniques for determining the predictive value of a feature (2026-03-03),

5. 12423595 - Systems for time-series predictive data analytics, and related methods and apparatus (2025-09-23),

6. 12381795 - Self-join automated feature discovery (2025-08-05),

7. 12361095 - Detecting suitability of machine learning models for datasets (2025-07-15),

8. 12315234 - Methods and systems for visual representation of model performance (2025-05-27),

9. 12050762 - Methods and systems for integrated design and execution of machine learning models (2024-07-30),

10. 11922329 - Systems for second-order predictive data analytics, and related methods and apparatus (2024-03-05),

11. 11748653 - Machine learning abstraction (2023-09-05),

12. 11514369 - Systems and methods for machine learning model interpretation (2022-11-29),

13. 11461304 - Signature-based cache optimization for data preparation (2022-10-04),

14. 11386075 - Methods for detecting and interpreting data anomalies, and related systems and devices (2022-07-12),

15. 11361246 - Methods for automating aspects of machine learning, and related systems and apparatus (2022-06-14),

Company Overview

Datarobot, Inc. is a leading provider of automated machine learning solutions, specializing in enabling organizations to harness the power of artificial intelligence. The company focuses on developing advanced software that streamlines the process of building, deploying, and managing predictive models, making AI accessible to a broader range of users. Headquartered in Boston, MA, Datarobot serves various industries, helping businesses leverage data-driven insights to enhance decision-making and operational efficiency.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

29 Patents

#85 in Boston, MA

#696 in Massachusetts

#11,631 in US

#22,570 in the World

Boston, MA, United States of America

Datarobot, Inc.

Forward Citations = 317

62 inventors:

Jeremy Achin (12 out of 12 patents)

Xavier Conort (11 out of 11 patents)

Thomas DeGodoy (8 out of 8 patents)

4. Timothy Owen (8 out of 8 patents)

5. Mark L Steadman (6 out of 6 patents)

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

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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