ModelOp is an enterprise platform for governing AI models and managing model risk. It helps organizations enforce internal policies, reduce manual oversight, and standardize controls across teams working with traditional ML, generative AI, and large language models.
What ModelOp helps you manage
ModelOp provides centralized visibility into the full model lifecycle so teams can track how models are deployed, monitored, audited, and eventually retired. The platform is designed to surface policy gaps and support faster response when issues or incidents occur.
Setup and day-to-day workflow
Getting started typically involves integrating ModelOp with your existing IT environment. Users define governance policies, connect models, and set access permissions. The system can apply policies automatically and generate compliance reporting for audits and internal reviews.
Key capabilities
- Policy automation and enforcement for AI models
- Centralized model lifecycle tracking (deployment to retirement)
- Monitoring, audit support, and compliance reporting
- Role-based access controls for different stakeholders
- Integrations with external systems for extended monitoring and audit needs
