Modulos vs Trustible: AI Governance Comparison (2026)

Programmes needing engineering-system evidence integration

Where AI governance evidence lives in Git repositories, cloud accounts, ticketing systems, and document stores rather than in documents uploaded by the governance team, Modulos is the closer fit. Scout pulls evidence from those systems into the Governance Graph, so controls are substantiated from where the evidence actually lives rather than transcribed by hand.

Enterprises pursuing ISO/IEC 42001 product conformity

Modulos is the first AI governance platform to complete ISO/IEC 42001 product conformity assessment, audited by CertX (organisational AIMS coverage applies separately). For organisations whose AI governance procurement is anchored on ISO/IEC 42001 certification, that public product conformity signal is procurement-relevant in a way it is not for platforms that have not made an equivalent disclosure.

Multi-framework teams anchored on the EU regulatory stack

For obligation stacks combining the EU AI Act, ISO/IEC 42001, DORA, and NIS2 as the primary set, the Governance Graph maps a single control against several frameworks with shared evidence through cross-framework deduplication. Deeper European regulatory grounding, including team participation in the EU GPAI Code of Practice and CEN-CENELEC JTC 21, contributes to the defensibility of that obligation set.

Boards and supervisors requiring monetary risk quantification

Modulos quantifies AI risk in EUR, GBP, and USD using Fermi estimation, producing a defensible monetary exposure figure re-estimated on a schedule as controls and evidence change. Board audit committees and prudential supervisors that read AI risk in the same financial units as operational and market risk get decision-grade monetary exposure rather than attributes-based scoring or qualitative tiers, which suits a financial reporting hierarchy.

Regulated industries with inseparable model-level requirements

In financial services, defense, aerospace, healthcare, telecommunications, and critical infrastructure, deep model-level assessment and engineering-system evidence requirements are part of the compliance posture rather than separable from it. Modulos addresses both the governance workflow surface and the engineering-system evidence surface, which suits programmes where the two cannot be cleanly decoupled.

Governance-professional-led programmes (legal, risk, compliance)

For programmes owned end-to-end by legal, risk, and compliance teams, where the operating model is governance-professional-led and the platform’s job is to orchestrate the team’s workflow, Trustible is purpose-built. It is designed around the governance professional’s mental model rather than a data-science or MLOps workflow, which fits teams running governance without deep engineering support.

Automated AI use-case intake and routing as the primary need

Where the binding requirement is reducing intake time, standardising submission, automating triage, and tracking use cases from intake through ongoing monitoring, Trustible’s automated intake-and-routing is one of the deeper executions of that specific surface in the category. A publicly referenced Fortune 500 consumer-goods customer reduced intake time from 18 days to 2 days after adopting it.

Significant third-party AI vendor risk exposure

For enterprises where third-party AI vendor risk is a primary concern, Trustible’s AI-assisted vendor documentation analysis surfaces risk signals and governance gaps in third-party AI vendor materials faster than manual review. Combined with its AI Inventory for portfolio visibility, this suits organisations whose governance load is concentrated in evaluating and monitoring externally sourced AI.

Buyers wanting configurable, audit-ready governance-team workflows

For buyers who want configurable, audit-ready workflows centred on the governance team’s mental model (intake, routing, risk-and-impact assessment, policy management, board-ready reporting) rather than a data-team or engineering-team workflow, Trustible’s attributes-based risk scoring engine and expert-curated taxonomies provide a compliance-content backbone tuned to how governance professionals already work.

US organisations needing broad state AI-law coverage

For US-headquartered organisations needing the Colorado AI Act (SB 26-189, which replaced the repealed SB 24-205) covered alongside the EU AI Act and NIST AI RMF, Trustible maps it directly in its framework library. Trustible’s state-law catalogue runs wider still, to seven state AI laws in total: Colorado, Texas’s TRAIGA, Connecticut’s CART Act, Illinois’s HB 3773 and SB 315, California’s SB 53, and New York’s RAISE Act. Buyers with material multi-state exposure should weigh this breadth, which Trustible surfaces as a published distinctive.

Are Modulos and Trustible direct competitors?

Yes. Modulos and Trustible are both purpose-built, dedicated AI governance platforms with multi-framework compliance coverage, and they compete for the same category of buyer. The difference is buyer profile within the organisation. Trustible is built around the governance professional, where the operating model is owned end-to-end by legal, risk, and compliance teams running automated use-case intake, routing, risk assessments, vendor evaluations, and policy management. Modulos spans the governance-team workflow surface and the engineering-system evidence surface, where controls are substantiated by pulling evidence from code repositories, cloud accounts, ticketing systems, and document stores. They overlap on category and diverge on which team owns the programme.

Does Trustible hold ISO/IEC 42001 certification?

Trustible maps ISO/IEC 42001 as one of the frameworks its product helps customers comply against, which is distinct from Trustible itself holding ISO/IEC 42001 certification. As of September 2026, Trustible does not publicly disclose ISO/IEC 42001 certification, either as 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 current certification status directly with Trustible before any procurement decision, since this can change between page refresh cycles.

Which platform has better EU AI Act coverage?

Both platforms cover the EU AI Act as a primary framework. Trustible maps the EU AI Act inside a library of 10+ frameworks alongside NIST AI RMF, ISO/IEC 42001, and the Colorado AI Act (SB 26-189), with configurable, audit-ready workflows. Modulos is built around continuous EU AI Act conformity workflows with cross-framework deduplication in the Governance Graph, and framework intelligence is maintained against primary regulatory sources by a team whose experts serve on CEN-CENELEC JTC 21 and ISO/IEC JTC 1/SC 42 (including JWG 6 on conformity assessment of AI management systems) and who contributed to the drafting of the EU GPAI Code of Practice. The stronger fit depends on whether your obligation stack is EU-leaning and engineering-integrated or governance-team-led with US state-law exposure.

Does Modulos map the Colorado AI Act?

Modulos covers the full EU set (the AI Act, the Cyber Resilience Act, NIS2, DORA and GDPR) together with the AI Act harmonised standards as they are approved (EN 18286:2026 today, with prEN 18228 and prEN 18282 mapped as drafts), ISO/IEC 42001, NIST AI RMF and OWASP, and regional frameworks for Singapore, the UAE, Saudi Arabia, Switzerland and US state and city law: 24 frameworks in a single Governance Graph, where nearly half of all controls serve two or more frameworks. That US set now includes the Colorado AI Act (SB 26-189, which replaced the repealed SB 24-205), alongside California’s ADMT regulations and New York City’s Local Law 144. Trustible’s own state-law catalogue is wider still, spanning seven state AI laws; buyers with exposure across that fuller list should weigh Trustible’s breadth and confirm current coverage directly with each vendor, since both libraries evolve between refresh cycles.

How do the pricing models compare?

Neither Modulos nor Trustible publishes standard list pricing; both quote per engagement based on the number of AI systems, 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. Confirm current pricing and packaging directly with each vendor, since neither publishes a public price list as of September 2026.

Can you use Modulos and Trustible together?

Yes, but uncommonly. Both platforms target the AI governance policy, compliance, and risk layer, so running both creates two systems of record at the same layer. The more typical pattern is to pick one as the AI governance system of record. Where both are present, one team might use Trustible’s intake-and-routing workflow as the governance-professional front door while another owns engineering-system evidence integration in Modulos, but most organisations consolidate on one platform to avoid duplicate inventories and reconciliation overhead.

What is the difference between Modulos Scout and Trustible’s AI-assisted analysis features?

Scout is Modulos’s investigative AI agent built on a deep-agent reasoning architecture. It conducts multi-step research across the engineering and governance tools (GitHub, Bitbucket, Google Drive, Confluence, Jira, AWS, Azure, and the Governance Graph itself), returns structured findings with file paths, line references, and relevance and confidence scores, streams its reasoning, and continuously checks AI systems against published policies. Trustible’s AI-assisted features focus on the governance-team workflow surface, most notably AI-assisted vendor documentation analysis that surfaces risk signals in third-party AI materials, plus AI assistance across intake and policy mapping. Scout extracts evidence from engineering systems; Trustible’s analysis accelerates the governance team’s review work.

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, so the deduplication is a technical primitive of the data model. Trustible provides the compliance-content backbone through its AI Inventory, attributes-based risk scoring engine, and expert-curated taxonomies across 10+ frameworks, mapping each control to every framework article it satisfies so a single update carries across all of them. Both platforms reuse a satisfied control across frameworks, but the mechanism differs: a connected graph of frameworks, requirements, controls, and evidence at Modulos, versus control-to-article mapping at Trustible. Ask each vendor for a worked example mapping one control against two frameworks with shared evidence.

Which platform is better for governance-team-led programmes versus engineering-integrated programmes?

For programmes owned end-to-end by legal, risk, and compliance teams whose work begins and ends with the governance workflow itself, Trustible’s governance-professional UX and intake-and-routing depth are a close fit. For programmes that need to connect controls to evidence living in engineering systems (Git repositories, cloud accounts, ticketing systems, document stores), Modulos’s Scout-driven evidence integration and Governance Graph are the closer fit. The deciding criterion is where the evidence lives and which team owns the integration with the systems that hold it.

How long does implementation take for each?

Implementation timelines depend on the number of AI systems, 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. On the Trustible side, one publicly referenced Fortune 500 consumer-goods customer reduced AI use-case intake time from 18 days to 2 days after adopting its automated intake-and-routing workflow. Both vendors scope implementation per engagement; confirm current timelines directly with each vendor.

Methodology

This comparison evaluates Modulos and Trustible based on publicly available information: vendor websites, the Trustible blog (including its published Colorado AI Act materials and cross-framework mapping), Trustible’s June 2025 Series Seed funding announcement, Gartner Peer Insights reviews, the IAPP AI Governance Vendor Report (January 2026), and direct product experience on the Modulos side. Capabilities reflect publicly available information as of 1 September 2026.

Disclosure

This comparison is published by Modulos AG. Modulos is one of the two vendors compared on this page. Trustible’s capabilities are described from publicly available product information; no commercial relationship between Modulos and Trustible is implied. No vendor paid for inclusion or favourable treatment. Inclusion does not constitute endorsement, and the buyer profiles in the “When to choose Trustible” section reflect Trustible’s genuine strengths.

Refresh cadence

This page is reviewed quarterly. The next scheduled review is 1 December 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.