Modulos vs Optro (formerly AuditBoard)

Organisations building AI governance as a first-class programme

Where AI governance is being built as a primary programme rather than extending an existing internal audit or GRC operation, Modulos was built AI-native from the data model up. Teams that want AI-specific depth designed AI-first rather than extended from a GRC footprint will find that Modulos centres its data model, framework intelligence, and evidence model on AI governance as the primary use case.

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, organisational AIMS or product conformity or both, that vendor-level certification signal is procurement-relevant in a way it is not for vendors that have not made an equivalent public disclosure.

Multi-framework compliance teams anchored on EU regimes

If your obligations stack EU AI Act, ISO/IEC 42001, DORA, NIS2, and NIST AI RMF simultaneously, the Governance Graph’s cross-framework deduplication maps a single control 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. Board audit committees and supervisors comparing AI System A against AI System B in decision-grade financial units get the same reporting frame for AI risk as they get for operational and market risk, rather than findings-and-remediation tracking or qualitative risk tiers.

AI governance owned outside the internal audit function

Where AI governance is owned by a CISO, model risk function, AI Center of Excellence, or Chief Data Officer rather than internal audit, and the evidence lives in engineering systems such as Git repositories, cloud infrastructure, and ticketing, Modulos pulls evidence from those systems via the Scout investigative agent rather than requiring it to be uploaded into audit work papers.

Organisations already running Optro for internal audit, SOX, ESG, or operational audit

Where Optro (or AuditBoard before the rebrand) is already in production for internal audit, SOX, ESG, or operational audit, the integration economics of extending it into AI governance are genuinely favourable. AI governance plugs into an existing findings, remediation, and evidence-management workflow rather than standing up a new system of record, and procurement uses an established vendor relationship across a large enterprise installed base.

AI governance defined and procured by the internal audit function

Where the AI governance programme is being defined and procured by the internal audit function rather than by a CISO, model risk team, or AI Center of Excellence, Optro’s heritage as an enterprise audit and GRC platform is the natural fit. The buying decision lands inside the same function, the same workflow, and the same control library that already runs the organisation’s audit programme.

Buyers needing synthetic-data testing for bias audits

The FairNow-derived Synthetic Fairness Simulation method audits AI models for bias without requiring demographic data integrations. This is a genuinely distinctive capability, and it is particularly relevant for NYC Local Law 144 compliance and HR-domain bias audits where demographic data integrations are unavailable or impractical. Optro carries this capability through its acquisition of FairNow.

Strong internal audit functions requiring unified audit workflow

Where a strong internal audit function owns the AI governance buying decision and unified workflow with the existing audit programme is binding, Optro consolidates findings tracking, remediation management, control testing, and evidence collection. For buyers who weight workflow unity with the broader audit programme above dedicated AI-native depth, that consolidation is the design intent.

Buyers consolidating audit-related compliance on one platform

For organisations prioritising consolidation of audit-related compliance programmes, financial, operational, ESG, and AI, on a single GRC platform with unified workflow, evidence management, and findings tracking, Optro’s consolidation economics and agentic GRC direction can outweigh standing up a separate AI governance system of record. The FairNow-derived AI registry and dynamic risk assessment extend that single platform into AI.

Is AuditBoard the same as Optro?

Yes. AuditBoard rebranded to Optro in March 2026. The company is the same enterprise GRC vendor under a new name, now positioned as an agentic system of action for risk practitioners. Optro’s AI governance capability traces to its acquisition of FairNow, a purpose-built AI governance solution whose functionality is consolidating into the Optro platform. Buyers will still find both the AuditBoard name and the FairNow name across the web; Optro is the current name.

What happened to FairNow? Did AuditBoard (now Optro) acquire it?

FairNow was acquired by AuditBoard, which has since rebranded to Optro. The AI governance functionality FairNow built is consolidating into Optro’s broader GRC platform. Existing FairNow customers continue to be served; new procurement of AI governance functionality from Optro now happens through the Optro platform rather than as a standalone FairNow product. Buyers previously evaluating FairNow should now evaluate Optro AI governance, which carries FairNow’s heritage capabilities including synthetic-data bias auditing, an automated AI registry, dynamic risk assessment, and third-party AI vendor governance.

Does Optro (formerly AuditBoard) hold ISO/IEC 42001 certification?

As of May 2026, Optro does not publicly disclose ISO/IEC 42001 certification, either as an organisational AI management system certification or as product conformity assessment. Modulos is the first AI governance platform to achieve ISO/IEC 42001 product conformity, assessed by CertX. Verify certification status directly with each vendor before any procurement decision, since it can change between page refresh cycles.

Which platform has better EU AI Act coverage?

Both platforms cover the EU AI Act. Modulos is built around continuous EU AI Act conformity workflows, Annex III risk classification, and Fundamental Rights Impact Assessment templates, with framework intelligence maintained against primary regulatory sources by a team contributing to the EU GPAI Code of Practice and CEN-CENELEC JTC 21. Optro covers the EU AI Act through the FairNow-derived AI registry and framework mapping, set within Optro’s broader regulatory content library across audit, SOX, ESG, and operational compliance.

Does Optro’s synthetic-data bias audit capability work for use cases outside HR and NYC Local Law 144?

The FairNow-derived Synthetic Fairness Simulation method audits AI models for bias without requiring demographic data integrations, which makes it particularly relevant for NYC Local Law 144 audits and HR-domain bias testing. It is a genuinely distinctive capability. Buyers should ask Optro for a worked example of bias auditing a deployed model using synthetic data, including documentation of how the synthetic-data approach generalises across the buyer’s specific use case and domain.

How do the pricing models compare?

Optro pricing is quoted per engagement and depends on which modules across audit, SOX, ESG, operational risk, and AI governance are in scope, as well as existing AuditBoard or Optro footprint. Modulos quotes bespoke pricing per engagement; indicative ranges for dedicated AI governance platforms in 2026 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.

Can you use Modulos and Optro (formerly AuditBoard) together?

Yes. The two are most often used in a division of labour rather than head to head. Where Optro is the system of record for internal audit, SOX, ESG, and operational risk, Modulos can own the AI-specific compliance and evidence layer, anchored on ISO/IEC 42001 and the EU AI Act. The more typical pattern is to pick one platform as the AI governance system of record.

How does cross-framework deduplication work in each?

Modulos models frameworks, requirements, controls, and evidence as connected objects in the Governance Graph. A single control mapped against both EU AI Act Article 9 and ISO/IEC 42001 Annex A satisfies both obligations with one implementation and one evidence chain. Optro maps AI frameworks through the FairNow-derived AI registry within its broader control library; the cross-framework reuse mechanism for AI-specific frameworks sits inside the wider Optro GRC content portfolio. Ask each vendor for a worked control-to-two-framework mapping with shared evidence.

Which platform is better for financial services?

Both platforms serve financial services. Modulos is a frequent shortlist entry for European banks and insurers facing the EU AI Act, DORA, and ISO/IEC 42001 simultaneously, and for boards that require monetary risk quantification. Optro is a frequent shortlist entry where the financial services organisation already runs the platform for internal audit, SOX, or operational risk and the AI governance programme extends an existing audit and compliance operation.

Methodology

This comparison evaluates Modulos and Optro (formerly AuditBoard) based on publicly available information: vendor websites, the March 2026 AuditBoard-to-Optro rebrand, the FairNow acquisition and product-consolidation announcements, FairNow public product materials, analyst reports including the IAPP AI Governance Vendor Report January 2026, peer review platforms, press coverage, and direct product experience on the Modulos side. The AuditBoard-to-Optro rename and the FairNow lineage are described from public announcements and current product positioning; status reflects publicly available information as of 27 May 2026. Regulatory framework intelligence on the Modulos side reflects contributions by the Modulos team to the EU GPAI Code of Practice, the NIST AI Safety Institute Consortium, and CEN-CENELEC JTC 21.

Disclosure

This comparison is published by Modulos AG. Modulos is one of the two vendors compared on this page. Optro capabilities, the AuditBoard rebrand, and the FairNow lineage are described from publicly available product information; no commercial relationship between Modulos and Optro is implied. No vendor paid for inclusion or favourable treatment. Inclusion does not constitute endorsement; the buyer profiles in “When to choose Optro” reflect Optro’s genuine strengths, including the FairNow-derived synthetic-data-for-bias-audits capability.

Refresh cadence

This page is reviewed quarterly, with particular attention to post-acquisition consolidation updates as Optro publishes them. 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.