ModelOp
ModelOp Center is an enterprise-grade AI governance platform that acts as a central system of record and control plan...
Data verified Sep 7, 2026
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About ModelOp
ModelOp Center is an enterprise-grade AI governance platform that acts as a central system of record and control plane across an organization's entire AI portfolio, including generative AI, LLMs, traditional ML models, in-house builds, and third-party or embedded AI. It provides continuous inventory, policy enforcement, and audit trails aimed at risk, compliance, and data-science leaders. It is web-based with on-premise deployment options and was named a Visionary in the 2026 Gartner Magic Quadrant for AI Governance Platforms.
Screenshots
Commonly Cited Strengths & Limitations
Strengths
- Reduces time to move models to production from up to a year down to weeks
- Cut a two-week risk rating process to less than one day
- Claims 10X+ faster time-to-value
- Claims 100% policy adherence and 360° portfolio visibility
- Claims $20M savings over status quo
Limitations
- Room for improvement in the error detection system, which doesn't always accurately identify errors
Common Use Cases
- Industrializing enterprise AI delivery
- Moving ML, GenAI, and agentic AI models to production faster
- Enforcing AI governance and mitigating risk at scale
- Automating model risk rating processes
- Providing audit-ready evidence mapped to regulations and policy
- Tracking AI portfolio cost, tokens, risk, and ROI
Details
- Pricing Model
- Contact Sales
- Team Size
- Large Enterprises
- Headquarters
- Chicago, Illinois, USA
- Category
- Productivity & Automation
Who is ModelOp for?
AI Governance Teams
Enforce policy, mitigate risk, and govern all AI at enterprise scale.
AI Owners & Data Scientists
Deliver models to production faster without bypassing controls.
Risk, Legal & Compliance
Get audit-ready evidence mapped to every regulation and policy.
Executive Leadership (CIO/CAIO/AI Leaders)
Turn AI spend into measurable enterprise business value.
Frequently Asked Questions
Does ModelOp have an API?
Yes, ModelOp provides an API for developers.
Is ModelOp cloud-based or self-hosted?
ModelOp is offered as both cloud and self-hosted (hybrid) deployment.
What are the downsides of ModelOp?
Room for improvement in the error detection system, which doesn't always accurately identify errors
Who is ModelOp best for?
ModelOp is best suited for AI Governance Teams, AI Owners & Data Scientists, Risk, Legal & Compliance.
What can I use ModelOp for?
Common uses for ModelOp include industrializing enterprise ai delivery, moving ml, genai, and agentic ai models to production faster, enforcing ai governance and mitigating risk at scale, automating model risk rating processes.
How does ModelOp compare to Browse AI?
ModelOp and Browse AI are both used for productivity & automation -- specifically automation & workflow tools. See the full side-by-side comparison for pricing and feature differences.
Key Features
- AI System of RecordA centralized record across every model, solution, and agent — ML, GenAI, agentic, and vendor AI.
- Automated Lifecycle ManagementAutomates the end-to-end AI delivery lifecycle with governance embedded by design.
- Enforceable AI GovernanceEnforces policy and mitigates risk across all AI at enterprise scale, with policy enforced at delivery time.
- Operational IntelligenceGenerates portfolio insights into cost, tokens, risk, and ROI.
- AI Delivery Engine (MADE™)Powers the Command Center with interoperability across 50+ technologies, workflow automation, and an agentic framework.
- Dynamic InteroperabilityUnifies your existing AI stack across on-prem, cloud, or hybrid into one operating layer.
- Connective AutomationPuts IT, business, AI owners, governance, risk, and compliance in the same workflow.
- Agentic-powered FrameworkPlugs agents into the end-to-end AI lifecycle workflows, guided by policy to scale delivery.
Technical Details
- Deployment
- Hybrid
- API
- Available
Official Pricing
ModelOp's published plans · verified Sep 7, 2026
Contact for Pricing
Contact Sales
Pricing shown above is sourced from ModelOp's own published plans as of Sep 7, 2026 and can change at any time -- confirm current pricing on ModelOp's own site before purchasing.
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