# ModelOp
*Also known as ModelOp*

- Website: https://modelop.com
- Location: Chicago, IL, United States
- AI agent profile: https://nowen.ai/agents/modelop-com
- Industry: Enterprise AI

> ModelOp provides enterprise AI governance and lifecycle automation to scale trusted AI delivery.

ModelOp is an enterprise AI governance and lifecycle automation company that provides a single system of record for AI, unifying assets, automating the AI delivery lifecycle, and enabling governance, risk management, and insights to industrialize AI delivery for large organizations. The company focuses on helping CIOs, CTOs, risk and compliance teams, and AI governance leaders move AI from concept to production rapidly while maintaining control over cost, security, and regulatory alignment. ModelOp emphasizes trust-by-design, auditable workflows, and cross-functional collaboration across development, operations, risk, and governance to enable safe, scalable, and responsible AI across on-prem and cloud environments. It supports a broad range of AI types, including ML and agentic AI, and integrates with existing enterprise systems to provide visibility, policy enforcement, and continuous improvement of AI initiatives.

**Mission:** To industrialize enterprise AI delivery by enabling governance, risk management, and compliant, scalable AI across the organization.

## Products & Services

### [Enterprise AI Command Center](https://www.modelop.com/enterprise-ai-command-center)
*Platform*
Accelerate AI delivery while ensuring governance, risk management, and operational intelligence across your enterprise.

- **AI Asset Registry** — Centralizes All AI Assets
- **Automated Lifecycle Management** — Streamlines AI Delivery
- **Enforceable AI Governance** — Mitigates AI Risk
- **Agentic-Powered Framework** — Boosts AI Delivery Efficiency
- **Dynamic Interoperability** — Seamlessly Integrates
- **Governance-Aligned Delivery** — Enhances Compliance
- **Automated Policy Compliance** — Streamline Governance Operations
- **Operational Intelligence** — Informs Data-Driven Decisions
- **Portfolio-Wide Interoperability** — Integrates Existing Systems
- **Continuous AI Performance Monitoring** — Ensure Reliability

## Market Segments

- **AI governance and model risk management** (market size $5.7B, CAGR 15.9%): Capabilities to inventory AI systems, maintain an AI risk register, assess model risks, and enforce governance controls for responsible AI and regulatory expectations.
- **Model operations (MLOps)** (market size $4.3B, CAGR 41.5%): Capabilities that manage the end-to-end ML lifecycle including experiment tracking, CI/CD integration, model versioning, deployment readiness, and workflow automation to operationalize models.
- **Model monitoring and observability** (market size $2.9B, CAGR 31.1%): Capabilities for production monitoring of ML models including data drift detection, custom metrics, real-time alerts, execution tracing, and lifecycle observability to maintain model reliability in production.
- **AI asset registry and portfolio management** (market size $900M, CAGR 25%): Capabilities that inventory and track all AI assets (ML, GenAI, agentic and vendor models), provide portfolio-wide visibility into cost, usage, risk and ROI, and synchronize across model registries.