Enter assignee name

Forward Citations = 12

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4 inventors (with patents filed for the assignee):

Matthew Mahowald (11 out of 12 patents)

Stuart M Bailey (8 out of 42 patents)

Maksym Kharchenko (8 out of 9 patents)

4. George Kharchenko (3 out of 3 patents)

11 patents: Sort by Forward Citations

1. 12293212 - Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting (2025-05-06),

2. 12242435 - Integration of model execution engine containers with a model development environment (2025-03-04),

3. 11886907 - Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting (2024-01-30),

4. 11789913 - Integration of model execution engine containers with a model development environment (2023-10-17),

5. 11544099 - Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting (2023-01-03),

6. 11269820 - Integration of model execution engine containers with a model development environment (2022-03-08),

7. 11003486 - Dynamically configurable microservice model for data analysis using sensors (2021-05-11),

8. 10891151 - Deployment and management platform for model execution engine containers (2021-01-12),

9. 10860365 - Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting (2020-12-08),

10. 10705868 - Dynamically configurable microservice model for data analysis using sensors (2020-07-07),

11. 10599460 - Analytic model execution engine with instrumentation for granular performance analysis for metrics and diagnostics for troubleshooting (2020-03-24),

Modelop, Inc. is a leading provider of ModelOps solutions that helps enterprises deploy, monitor, and manage machine learning models at scale. Their platform enables organizations to accelerate the time-to-value of their AI initiatives and ensure the production readiness of their models. With Modelop, teams can collaborate effectively, track model performance, and ensure regulatory compliance throughout the model lifecycle.

Profile summary based on public USPTO records.