Holistic AI vs Trustible
Both compete in Policy, Compliance & GRC. Holistic AI positions itself as “AI governance platform to discover, assess and manage AI risk at scale”, while Trustibleleads with “AI governance platform for regulated enterprises to manage risk and compliance”. 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 Trustible pulls ahead
Regulated enterprises that want a focused governance platform with strong regulatory guidance and support for building internal AI literacy.
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 | AI governance platform for regulated enterprises to manage risk and compliance |
|---|---|---|
| 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 |
| Built for | GRC, Compliance, Risk, Legal, Data Science / ML | GRC, Compliance, Risk, Legal |
| Founded | 2020 | 2023 |
| Headquarters | London, United Kingdom | Arlington, USA |
| Ownership | Independent | Independent |
| Funding | $35M venture round (2024) | $4.6M seed (2025); ~$6M+ total |
| Pricing | Custom / enterprise | Custom / enterprise |
| Key capabilities |
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| Integrations | Model and data pipelines, Cloud platforms, MLOps tooling | Cloud environments, Enterprise GRC and ticketing tools |
| 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. | Regulated enterprises that want a focused governance platform with strong regulatory guidance and support for building internal AI literacy. |
| 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. | As an early-stage company its feature depth and integration ecosystem are still expanding, and it is less oriented toward technical model testing or runtime monitoring. |
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 Trustible if regulated enterprises that want a focused governance platform with strong regulatory guidance and support for building internal AI literacy.
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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