AIAI Governance StackFree kit

ModelOp vs Modulos

Both compete in Policy, Compliance & GRC. ModelOp positions itself as “Enterprise AI governance and model lifecycle automation as a system of record”, while Modulosleads with “Automated AI governance and EU AI Act compliance workflow management”. The table below compares what each publishes.

Where ModelOp pulls ahead

Large regulated enterprises that need to automate governance and monitoring across a large, heterogeneous model estate and tie it into existing MLOps and model-risk processes.

Where Modulos pulls ahead

European and EU-facing organizations that need to operationalize EU AI Act conformity and connect governance to their MLOps/LLMOps stack.

Both map to EU AI Act, NIST AI RMF, ISO/IEC 42001, so framework coverage alone will not separate them — the decision usually comes down to who operates the tool and how it fits your existing stack.

ModelOp
Modulos
PositioningEnterprise AI governance and model lifecycle automation as a system of recordAutomated AI governance and EU AI Act compliance workflow management
CategoryPolicy, Compliance & GRCPolicy, Compliance & GRC
FrameworksEU AI Act, NIST AI RMF, ISO/IEC 42001EU AI Act, NIST AI RMF, ISO/IEC 42001
DeploymentSaaS, Cloud, On-prem, APISaaS, Cloud, API
Built forRisk, Compliance, GRC, Data Science / MLCompliance, Risk, GRC, Data Science / ML
Founded20162018
HeadquartersChicago, USAZurich, Switzerland
OwnershipIndependentIndependent
Funding$10M Series B (2024); ~$17M totalCHF 8.7M pre-Series A (2025); ~CHF 16.4M total
PricingCustom / enterpriseCustom / enterprise
Key capabilities
  • AI/model inventory and system of record
  • Lifecycle workflow automation and approval gates
  • Governance control enforcement
  • Production monitoring and operational intelligence
  • Support for GenAI, agentic and third-party models
  • Reporting and audit trails
  • AI use-case risk classification
  • EU AI Act conformity workflows
  • Control implementation and evidence management
  • AI-agent assisted monitoring
  • MLOps/LLMOps integration
  • Compliance reporting
IntegrationsMLOps and model development platforms, Cloud and data infrastructure, Enterprise CI/CD and ticketingMLOps and LLMOps tools, Auditing infrastructure, Cloud platforms
Notable customersNone publishedNone published
Best forLarge regulated enterprises that need to automate governance and monitoring across a large, heterogeneous model estate and tie it into existing MLOps and model-risk processes.European and EU-facing organizations that need to operationalize EU AI Act conformity and connect governance to their MLOps/LLMOps stack.
LimitationsIts operational depth suits mature enterprise environments; smaller teams may find it heavier than needed, and full value depends on integrating with existing model infrastructure.Strong EU-regulatory orientation may be more than non-EU buyers require, and as a younger, smaller-funded vendor its ecosystem and reference base are still maturing.

Which should you shortlist?

Choose ModelOp if large regulated enterprises that need to automate governance and monitoring across a large, heterogeneous model estate and tie it into existing MLOps and model-risk processes.

Choose Modulos if european and EU-facing organizations that need to operationalize EU AI Act conformity and connect governance to their MLOps/LLMOps stack.

Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.

Full ModelOp profile →Full Modulos profile →

AI Governance Tool Selection Kit

A vendor-comparison worksheet plus EU AI Act, NIST AI RMF and ISO/IEC 42001 requirement checklists — so you can shortlist tools against the obligations that actually apply to you.

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