Modulos vs Holistic AI: AI Governance Comparison (2026)

Compliance-and-evidence as the primary AI risk concentration

Where the binding AI risk concentration is regulatory compliance and audit-ready evidence rather than demographic-outcome bias or runtime intervention, Modulos is the structural fit. Organisations managing EU AI Act, ISO/IEC 42001, DORA, NIS2, and NIST AI RMF together get a platform whose depth is concentrated exactly where their primary obligation sits, with evidence engineered for conformity assessment.

Enterprises pursuing ISO/IEC 42001 product conformity

Modulos is the first AI governance platform to have completed ISO/IEC 42001 product conformity assessment, audited by CertX. For organisations whose AI governance procurement is anchored on ISO/IEC 42001 certification, the vendor-level conformity signal is procurement-relevant. Holistic AI does not publicly disclose ISO/IEC 42001 certification as of May 2026; verify each vendor’s current status before procurement.

Multi-framework compliance teams needing cross-framework deduplication

If your obligations stack EU AI Act, ISO/IEC 42001, DORA, NIS2, and NIST AI RMF simultaneously, the Governance Graph models frameworks, requirements, controls, and evidence as connected objects so a single control maps against several frameworks with shared evidence. One implementation, multiple regulatory artefacts, one audit-ready evidence chain across the EU regulatory stack.

Boards and supervisors requiring monetary risk quantification

Modulos quantifies AI risk in EUR, GBP, and USD using Fermi estimation, producing defensible expected-loss exposure rather than risk-category scoring or bias-incidence reporting. Board audit committees and prudential supervisors comparing one AI system against another in decision-grade financial units get the same reporting frame for AI risk as they use for operational and market risk.

Regulated industries where AI is not primarily demographic-outcome-driven

For financial services back-office, defence, aerospace, and healthcare, where evidence is pulled from engineering systems (GitHub, Bitbucket, Google Drive, Confluence, Jira, AWS, Azure) and use cases are industrial, scientific, infrastructure, or research-grade rather than individual-outcome decisions, Modulos fits. For primarily demographic-outcome-driven AI such as credit scoring, insurance, hiring, or healthcare access, Holistic AI’s bias-auditing specialisation may be the better match.

Demographic-outcome bias as the primary AI risk concentration

Where the binding AI risk concentration is demographic-outcome bias on high-stakes individual decisions such as credit scoring, insurance underwriting, hiring, healthcare access, or criminal justice, Holistic AI’s bias-auditing depth is the structural fit. The assessment library reflects roots in algorithm auditing dating to the company’s founding, and the depth here is materially greater than what generalist AI governance platforms ship.

Runtime intervention and real-time blocking as a control requirement

Where the architecture requires runtime intervention rather than a compliance-and-evidence layer alone, Guardian Agents are the structural fit. Sentinel Agents provide continuous observation and Operative Agents provide real-time intervention and blocking of unauthorised AI. Collapsing the distance between monitoring and enforcement is a distinctive capability, and some buyers weight it above any compliance-and-evidence advantage.

Shadow AI discovery as a primary procurement requirement

For organisations concerned about AI sprawl, unauthorised AI use, or enforcement of internal AI policy before regulator-facing compliance, Holistic AI’s Shadow AI discovery is the structural fit. Scanning cloud platforms, code repositories, and SaaS systems for ungoverned AI is a developed capability, and for some procurement teams it is the binding criterion that drives platform choice.

Deep algorithm auditing for bias-specific regulatory regimes

Where compliance demands algorithm-level audit depth rather than control-framework-level conformity documentation, such as NYC Local Law 144 algorithmic-hiring auditing or EEOC-related bias auditing, Holistic AI’s algorithm-auditing capability is the structural fit. These regimes require evidence about model behaviour and demographic outcomes that bias-auditing specialisation is purpose-built to produce.

AI estates built on ML-platform-native tooling

For organisations whose AI estate is built on ML-platform-native tooling and whose governance platform must integrate tightly with the ML stack, Holistic AI’s 50+ connected sources across AWS, Azure, GCP, GitHub, GitLab, Bitbucket, Databricks, MLflow, and Weights & Biases make it a natural fit. Tight integration with Databricks, MLflow, and Weights & Biases in particular suits teams whose governance needs to meet the AI estate where the models are built and served.

Are Modulos and Holistic AI direct competitors?

Yes. Modulos and Holistic AI are both dedicated, focused AI governance platforms, both anchored in the EU regulatory environment, and both shipping full-lifecycle products. They are direct peer competitors with different concentrations of depth, not platforms in materially different categories. Modulos concentrates depth in compliance and evidence: ISO/IEC 42001 product conformity, EU AI Act multi-framework coverage with cross-framework deduplication, and monetary risk quantification. Holistic AI concentrates depth in bias and runtime: algorithm auditing rooted in the company’s founding, Guardian Agents for continuous observation and real-time intervention, and Shadow AI discovery across cloud platforms and code repositories. The buyer choice is which depth concentration matches the AI risk concentration most material to your organisation.

Does Holistic AI hold ISO/IEC 42001 certification?

Holistic AI does not publicly disclose ISO/IEC 42001 certification, either as an organisational AI management system certification or as product conformity assessment, as of May 2026. Modulos is the first AI governance platform to have completed ISO/IEC 42001 product conformity assessment, audited by CertX. Verify Holistic AI’s current certification status directly with the vendor before any procurement decision, since certification status can change between page refresh cycles.

Which platform has better EU AI Act coverage?

Both platforms cover the EU AI Act. The distinction is which concentration of depth matches your binding requirement. Modulos covers the EU AI Act inside a single Governance Graph alongside ISO/IEC 42001, NIST AI RMF, DORA, NIS2, and more, with cross-framework deduplication so one control satisfies multiple frameworks with shared evidence. Holistic AI covers the EU AI Act alongside NIST AI RMF, NYC Local Law 144, and algorithm-auditing-specific regulations, with a framework library shaped by its bias-auditing roots. Neither is broadly better; the right fit depends on whether multi-framework deduplication or bias-specific framework depth is the binding requirement.

Does Modulos have bias-auditing capability?

Modulos supports bias monitoring through the Governance Graph and partner telemetry, mapping bias-related controls to EU AI Act Article 10 on data governance, Article 13 on transparency, and ISO/IEC 42001 Annex A, with runtime signals from integration partners Vijil and Zenity feeding the evidence framework. Modulos is not positioned as a deep algorithm-auditing platform. For deep algorithm auditing as the structural specialisation, Holistic AI is the clearer specialist; its bias-auditing depth is rooted in the company’s founding.

Does Holistic AI have Shadow AI discovery and runtime intervention?

Yes. Shadow AI discovery and runtime intervention are distinctive Holistic AI capabilities. Shadow AI discovery scans cloud platforms, code repositories, and SaaS systems for ungoverned AI. Runtime intervention is delivered through Guardian Agents: Sentinel Agents for continuous observation and Operative Agents for real-time intervention and blocking of unauthorised AI. Both are genuine strengths and developed capabilities of their kind.

Can you use Modulos and Holistic AI together?

Yes, though it is uncommon. Both platforms target the AI governance layer, so running both creates two systems of record at the same layer, and the typical pattern is to pick one as the AI governance system of record. Where both are used, the practical split follows the depth concentrations: Holistic AI owns bias auditing, runtime intervention, and Shadow AI discovery, while Modulos owns multi-framework compliance, ISO/IEC 42001 evidence, and monetary risk quantification. Most organisations consolidate on one rather than maintaining both.

What is the difference between Modulos Scout and Holistic AI Guardian Agents?

Scout and Guardian Agents address different buyer concerns. Scout is Modulos’s investigative AI agent built on a deep-agent reasoning architecture; it conducts multi-step research across engineering and governance systems and the Governance Graph itself, returns structured findings with file paths, line references, and relevance and confidence scores, and continuously checks AI systems against published policies for compliance reasoning. Holistic AI’s Guardian Agents are runtime agents: Sentinel Agents for continuous observation and Operative Agents for real-time intervention and blocking of unauthorised AI. Scout reasons over evidence for compliance; Guardian Agents observe and intervene at runtime.

How do the pricing models compare?

Neither vendor publishes standardised list pricing for enterprise deployments; both quote bespoke pricing per engagement based on AI estate size, framework scope, and deployment model. As an indicative reference point for dedicated AI governance platforms in 2026, engagements run from approximately 50,000 USD per year for a focused mid-market deployment to several hundred thousand USD per year for enterprise-wide programmes. Request a scoped quote from each vendor against your specific AI estate and framework requirements before comparing cost.

Which platform is better for financial services?

Both platforms serve financial services, and the answer depends on the binding AI risk concentration. Where the binding requirement is credit-scoring or underwriting bias auditing on high-stakes individual outcomes, Holistic AI’s algorithm-auditing specialisation is the structural fit. Where the binding requirement is managing EU AI Act, DORA, ISO/IEC 42001, and NIS2 simultaneously with monetary risk quantification for board and supervisory reporting, Modulos’s compliance-and-evidence depth is the structural fit. Both vendors have financial services buyer profiles; the decision follows which concentration is primary.

How long does implementation take for each?

Implementation timelines for both platforms depend on AI estate size, framework scope, deployment model, and integration depth. As a public reference point on the Modulos side, Xayn reached ISO/IEC 42001 audit readiness with Modulos in four weeks. Holistic AI implementation timelines are scoped per engagement and vary with the mix of bias auditing, runtime intervention, and Shadow AI discovery in scope; confirm current timelines directly with the vendor.

Methodology

This comparison evaluates Modulos and Holistic AI based on publicly available information: vendor websites, product documentation, public product announcements, analyst reports including the IAPP AI Governance Vendor Report January 2026, peer review platforms, press coverage, and direct product experience on the Modulos side. Holistic AI’s capabilities are described from publicly available product information. Capabilities reflect publicly available information as of 27 May 2026.

Disclosure

This comparison is published by Modulos AG. Modulos is one of the two vendors compared on this page. Holistic AI’s capabilities are described from publicly available product information; no commercial relationship between Modulos and Holistic AI is implied. No vendor paid for inclusion or favourable treatment. Inclusion does not constitute endorsement. The buyer profiles in “When to choose Holistic AI” reflect Holistic AI’s genuine strengths; the two vendors are direct peer competitors with different concentrations of depth, not platforms in materially different architectural categories.

Refresh cadence

This page is reviewed quarterly. The next scheduled review is 27 August 2026. Material changes to either platform’s capabilities, certifications, or buyer fit should be reflected within one refresh cycle. For questions about this comparison or to flag a factual correction, contact the Modulos team.