ModelOp

ModelOp, Inc.

Enterprise AI lifecycle management and governance platform

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Last verified April 23, 2026

About ModelOp

ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.

Framework coverage

Coverage claims documented by ModelOp on their own materials. Chip shading reflects the strength of the claim, not an independent audit.

Capabilities

Features ModelOp markets publicly. Inclusion means the capability is documented — not that it's best-in-class.

AI Model Inventory

Centralized registry of all AI/ML models in use across the organization, with ownership, lifecycle stage, and risk classification.

Policy Management

Authoring, versioning, and distribution of AI usage policies mapped to regulations.

Risk Assessment Workflow

Guided workflows for completing AI impact assessments, risk scoring, and approval routing.

Bias & Fairness Testing

Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.

Explainability

SHAP, LIME, counterfactual, and feature-importance explanations for model decisions.

Model Monitoring

Production monitoring for performance, drift, data quality, and fairness regressions.

Audit Evidence Collection

Automated collection, hashing, and retention of evidence (model cards, test results, approvals) for audit.

Integrations

Documented by ModelOp in public product materials.

  • AWS SageMaker
  • Azure ML
  • Google Vertex AI
  • Databricks
  • Snowflake
  • MLflow
  • Jira
  • ServiceNow
  • OpenAI API

Pricing

No public pricing listed; contact sales for enterprise quotes.

Third-party reviews

Publicly cited ratings from independent review platforms. We don't collect reviews ourselves and we don't weight these in our rankings. Low review counts (≤2) are noted so you can decide how much signal to take from them.

G2

6 reviews

4.9 / 5View on G2

Sources

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