ModelOp

Enterprise AI command center for delivery, lifecycle automation, governance, and ROI

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PricingEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
APIYes
Open sourceNo
DeploymentHybrid
Last verifiedAugust 1, 2026
Overview

Tool overview

ModelOp is listed under AI Governance Safety & Evaluation AI tools.

Summary

What is ModelOp?

ModelOp provides an enterprise AI system of record that unifies machine learning, generative AI, agentic systems, and vendor AI. Its command center automates lifecycle workflows, enforces governance, monitors risk and cost, and produces audit-ready evidence.

Best fit

Best for

Large regulated enterprises industrializing AI delivery and governance across many systems

Audience

Who is it for?

CIO and CAIO teamsAI governance leadersRisk and compliance teamsMachine learning platformsEnterprise architecture teams
Recommendation

Decision note

Suitable for evaluation after confirming final commercial terms, permissions, data handling, lifecycle status, and edit-screen aliases. Keep Needs Review enabled until a human verifies the published profile.

Capabilities

Key features

Enterprise system of record for all AI assets

Automated lifecycle workflows from intake through retirement

Policy enforcement and regulator-grade audit trails

Continuous monitoring of risk, performance, cost, and ROI

Fifty-plus integrations and RESTful extensibility

On-premise, cloud, private cloud, and hybrid deployment

Workflows

Use cases

Creating a complete enterprise AI inventory

Automating model and agent approval workflows

Governing third-party and internally built AI

Monitoring bias, drift, usage, and token cost

Producing evidence for regulatory and internal audits

Strengths

Pros

  • Covers ML, GenAI, agents, and vendor systems
  • Deploys in the customer environment without moving data
  • Strong enterprise integration and API architecture
  • Verified sales, support, press, and investor contacts
Considerations

Limitations

ModelOp can automate policy and evidence workflows but cannot guarantee compliance, model quality, or business value. Enterprises must validate controls, integrations, thresholds, owners, and remediation actions.

Cost

Pricing details

Pricing modelEnterprise Only
Starting priceContact sales
Free planNo
Free trialYes
Pricing context

Billing options

Custom enterprise contractDeployment and integration scope
Pricing context

Pricing note

ModelOp is sold through an enterprise demo and contract process. Pricing depends on deployment, integrations, workflows, and organizational scope. No public recurring amount, ongoing free plan, or self-service product trial is published.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

AWS

Azure

Google Cloud

Databricks

Snowflake

ServiceNow

Jira

MLflow

Specs

Technical details

PlatformsWeb, API
Multilingual supportUnknown
Login requiredYes
Open sourceNo
DeploymentHybrid
CompanyModelOp, Inc.
Launch year2018
Current version3.3
Models / versionsAI System of Record Lifecycle Automation AI Governance Operational Intelligence
Editions / plansEnterprise AI Command Center MADE AI Delivery Engine ModelOp Center
Data confidenceHigh
Last verifiedAugust 1, 2026
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Answers

Frequently asked questions

ModelOp provides an enterprise AI system of record that unifies machine learning, generative AI, agentic systems, and vendor AI. Its command center automates lifecycle workflows, enforces governance, monitors risk and cost, and produces audit-ready evidence.
Large regulated enterprises industrializing AI delivery and governance across many systems
The listed pricing model for ModelOp is Enterprise only. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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