Company status
Active, privately held.
Sources 1, 2 · checked 2026-11-08
Capabilities
- Enterprise AI Command Center: system of record for ML, GenAI, agentic, first-party, third-party, and embedded AI
- Lifecycle workflows: use case intake, risk tiering with auto-generated controls, approvals, automated bias/drift/performance testing, deployment review, and production monitoring
- AI Delivery Engine (MADE) for lifecycle automation; policy enforced at delivery time with audit-ready evidence
- Governance of vendor and embedded third-party AI
- Integrations named for Databricks, Collibra, ServiceNow, OneTrust, Archer, and IBM watsonx.governance; 50+ integrations stated; on-prem, cloud, or hybrid
Sources 1, 2 · checked 2026-11-08
Who it tends to fit
- Large enterprises that want governance enforced inside model delivery workflows
- Teams that need to connect governance to existing GRC tools rather than replace them
Sources 1, 2 · checked 2026-11-08
Pricing
Contact vendor (request a demo)
Sources 1, 2 · checked 2026-11-08
Published certifications
None found / not verified. This is not a finding that ModelOp lacks certifications; ask the vendor for documentation.
No SOC 2, ISO 27001, or ISO 42001 certification found on the official site on 2026-11-08. Ask the vendor for security documentation.
Listed as stated by the vendor. Scope can differ by product or subsidiary; request current reports.
Sources 1, 2 · checked 2026-11-08
Limitations to check
- No public pricing
- No published certifications or trust center found
Sources 1, 2 · checked 2026-11-08
Sources
- Enterprise AI Command Center, MADE lifecycle automation, policy at delivery time, on-prem/cloud/hybrid, 50+ technologieswww.modelop.com/Checked 2026-11-08
- Intake, risk tiering, approvals, automated testing, monitoring; vendor and embedded AI; named integrationswww.modelop.com/ai-governance-softwareChecked 2026-11-08
Report a correction: [email protected]. Facts are re-checked at least every 90 days.