Holistic AI vs Modulos
Both compete in Policy, Compliance & GRC. Holistic AI positions itself as “AI governance platform to discover, assess and manage AI risk at scale”, while Modulosleads with “Automated AI governance and EU AI Act compliance workflow management”. The table below compares what each publishes.
Where Holistic AI pulls ahead
Organizations that want technical model auditing (bias, robustness, explainability) combined with regulatory compliance workflows, including HR-tech and public-sector use cases.
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.
| Positioning | AI governance platform to discover, assess and manage AI risk at scale | Automated AI governance and EU AI Act compliance workflow management |
|---|---|---|
| Category | Policy, Compliance & GRC | Policy, Compliance & GRC |
| Frameworks | EU AI Act, NIST AI RMF, ISO/IEC 42001 | EU AI Act, NIST AI RMF, ISO/IEC 42001 |
| Deployment | SaaS, Cloud, API | SaaS, Cloud, API |
| Built for | GRC, Compliance, Risk, Legal, Data Science / ML | Compliance, Risk, GRC, Data Science / ML |
| Founded | 2020 | 2018 |
| Headquarters | London, United Kingdom | Zurich, Switzerland |
| Ownership | Independent | Independent |
| Funding | $35M venture round (2024) | CHF 8.7M pre-Series A (2025); ~CHF 16.4M total |
| Pricing | Custom / enterprise | Custom / enterprise |
| Key capabilities |
|
|
| Integrations | Model and data pipelines, Cloud platforms, MLOps tooling | MLOps and LLMOps tools, Auditing infrastructure, Cloud platforms |
| Notable customers | None published | None published |
| Best for | Organizations that want technical model auditing (bias, robustness, explainability) combined with regulatory compliance workflows, including HR-tech and public-sector use cases. | European and EU-facing organizations that need to operationalize EU AI Act conformity and connect governance to their MLOps/LLMOps stack. |
| Limitations | The breadth of technical auditing and governance features can require meaningful onboarding, and deep model testing may need data-science involvement to operationalize fully. | 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 Holistic AI if organizations that want technical model auditing (bias, robustness, explainability) combined with regulatory compliance workflows, including HR-tech and public-sector use cases.
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.
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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