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ModelOp
ModelOp manages enterprise AI assets and governance through a command center for tracking AI delivery.

About ModelOp
ModelOp is a web-based platform for enterprise AI delivery and governance. Its Enterprise AI Command Center acts as a system of record that tracks AI assets across ML, generative AI, agentic AI, and first-party, third-party, and traditional models.
Users can centralize inventory of models, solutions, and agents, automate steps in the delivery lifecycle, and apply governance policies within workflows. The platform provides portfolio views covering cost, token use, risk, and ROI, and connects to existing enterprise systems for AI development, AI execution, data, GRC, ITSM, and AI security. Its AI Delivery Engine, MADE, supports integration across on-prem, cloud, and hybrid stacks and allows agents to be included in lifecycle workflows.
The site is suited to large organizations managing many AI initiatives. It includes views and workflows for executive leaders, technology and security teams, AI owners and data scientists, business owners, and risk, legal, and compliance staff.
Key features
- Central system of record for ML, GenAI and agentic assets
- Automated lifecycle workflows with embedded governance policies
- Portfolio visibility into cost, tokens, risk and ROI
- Integrations with existing development, data and GRC systems
- Support for on-prem, cloud and hybrid AI stacks
- Role-based workflows for executives, builders and compliance teams
- Covers ML, GenAI, agentic and vendor AI in one place
- Connects to existing enterprise tools without replacing them
- Includes views for technical and compliance stakeholders
- Addresses governance and audit evidence needs
- Built for enterprise teams, not small projects
- No self-service signup described, demo request required
ModelOp at a glance
- Website
- modelop.com
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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