Who each option is best for, and where either supplier is deliberately narrower.
Vendor comparison
Holistic AI vs Modulos: capability comparison
A side-by-side comparison of Holistic AI and Modulos across RoPA, DPIA, vendor risk, AI governance and evidence workflows. Acompli is shown as a third reference column.
Holistic AIModulosComparison
Which public claims, review signals, caveats and capability rows are evidenced.
How much work it takes to implement, maintain and export the privacy record.
The questions a privacy team should ask before switching or shortlisting.
On this page
Key takeaways
- Holistic AI and Modulos are compared here on public-documentation capability coverage: Holistic AI is publicly documented for 6 of 20 tracked capabilities, Modulos for 8.
- The clearest difference: Modulos adds Multi-entity support, PDF/CSV/Excel export, which Holistic AI doesn't publicly document.
- Holistic AI's public lane is Enterprise AI-governance platform for AI discovery, inventory, technical risk testing, monitoring and enforcement, aligned to the EU AI Act, NIST AI RMF and ISO 42001; Modulos's public lane is Dedicated AI-governance (GRC) platform for the EU AI Act, ISO 42001 and NIST AI RMF, with multi-framework control mapping and quantified AI risk.
- Capability coverage reflects what each vendor publicly documents; confirm current scope, pricing and exports directly with each vendor.
01Short answer
Holistic AI vs Modulos
Holistic AI is positioned as: Enterprise AI-governance platform for AI discovery, inventory, technical risk testing, monitoring and enforcement, aligned to the EU AI Act, NIST AI RMF and ISO 42001. Modulos is positioned as: Dedicated AI-governance (GRC) platform for the EU AI Act, ISO 42001 and NIST AI RMF, with multi-framework control mapping and quantified AI risk. Across the tracked capabilities Holistic AI and Modulos cover much of the same ground, so the decision rests more on operating model, depth and jurisdiction fit than on feature presence.
Modulos has broader public-documentation coverage in this comparison (8 of 20 tracked rows, compared with 6 for Holistic AI). Capability coverage below reflects what each vendor publicly documents; Acompli is shown as a third reference column.
02At a glance
Holistic AI vs Modulos at a glance
| Decision question | Holistic AI | Modulos | Acompli |
|---|---|---|---|
| Best fit | Enterprises that need to discover, inventory, technically test and monitor AI systems at scale against the EU AI Act, NIST AI RMF and ISO 42001 | Large and regulated organisations deploying AI systems that need multi-framework AI governance, quantified AI risk and runtime evidence in one connected graph | Privacy and governance teams that need first-class EU AI Act governance - a risk-classified AI-system register, conformity and assessment workflow, and human-approved AI-system records - connected to their GDPR programme (RoPA, DPIA, vendor, data mapping) for Ireland/UK/EU |
| Operating model | An end-to-end AI-governance platform: automated AI discovery, live inventory, technical risk testing, continuous monitoring and real-time enforcement | A dedicated AI-governance platform: a Governance Graph mapping one control across many AI frameworks, monetary risk quantification, AI agents and runtime inspection | First-class EU AI Act governance - AI-system register, risk classification and conformity/assessment workflow - connected to DPIA and Article 30, each value human-approved and traceable to approved source evidence |
| When to choose it | Choose Holistic AI when the main problem is surfacing shadow AI and proving AI systems are safe, unbiased and compliant through continuous technical testing | Choose Modulos when the main problem is governing AI systems across the EU AI Act, ISO 42001 and NIST AI RMF with quantified risk and production-runtime evidence | Choose Acompli when the main problem is defensible EU AI Act compliance - classifying and governing AI systems - kept connected to RoPA, assessments, suppliers and risk decisions, and current after human approval |
- Best for: Large enterprises and regulated organisations deploying many AI models, agents and applications that need to surface shadow AI and prove those systems are safe, unbiased and compliant at scale.
- Deployment: Cloud SaaS AI-governance platform with 20+ integrations across cloud, code repositories, data platforms and SaaS; automated discovery, technical testing, continuous monitoring and runtime enforcement via Guardian Agents.
- Best for: Large and regulated organisations - financial services, telecommunications, transport, utilities, defence - deploying high-risk or many AI systems that need multi-framework AI governance, monetary risk quantification and runtime evidence.
- Deployment: Cloud SaaS with optional private-cloud/VPC deployment and EU/US/UAE/Singapore data residency; connects to existing tools (GitHub, Bitbucket, Azure, AWS, Confluence, Jira, Prometheus, Datadog, MLflow) via REST API and Python SDK rather than ingesting raw data.
05Official source signals
What Holistic AI and Modulos emphasise publicly
This section uses each vendor's own public positioning as the starting point. It is included so customers can see why the two companies may appear in the same shortlist while still solving different problems.
The capability table remains conservative: "Y" means a capability was publicly documented, while "N" means it was not publicly confirmed in the reviewed material.
Holistic AI official website
Open the official Holistic AI source used to ground this profile.
ExploreModulos official website
Open the official Modulos source used to ground this profile.
Explore| Signal | Holistic AI | Modulos |
|---|---|---|
| Public positioning | Holistic AI positions itself as an enterprise AI governance platform for AI discovery, inventory, risk, testing and compliance. | Modulos positions itself as an AI governance, risk and compliance platform for EU AI Act, ISO 42001 and related frameworks. |
| Main public signals | Official pages emphasise shadow AI discovery, AI inventory, monitoring, AI risk management, LLM testing, bias audits and regulatory alignment.; The product lane is dedicated AI governance rather than general GDPR privacy management.; Holistic AI is strongest where AI model, agent and application oversight is the main procurement requirement. | Official pages emphasise a Governance Graph, cross-framework controls, risk quantification, policy approval, vendor review and evidence workflows.; The public lane is dedicated AI GRC with strong EU AI Act and ISO 42001 positioning.; Modulos is strongest where the buyer needs full AI governance and control mapping rather than privacy-record administration. |
| Best-fit buyer | Large enterprises and regulated organisations deploying many AI models, agents and applications that need to surface shadow AI and prove those systems are safe, unbiased and compliant at scale | Large and regulated organisations - financial services, telecommunications, transport, utilities, defence - deploying high-risk or many AI systems that need multi-framework AI governance, monetary risk quantification and runtime evidence |
| Buyer verification | Ask Holistic AI to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. | Ask Modulos to demonstrate the workflows behind the modules that matter to your team, with export evidence and plan scope. |
06Sourced 2025-2026 signals
What's new at Holistic AI (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
On 25 June 2026, Holistic AI announced that Vahé Torossian — a 31-year Microsoft veteran (former President of Western Europe and Corporate VP for global SMB/Business Applications), former President/Deputy CEO of Builder.ai, and now a Venture Partner at Tola Capital — has joined its Board of Directors, with Co-CEO Emre Kazim framing it around scaling the platform and deepening enterprise relationships globally.
On 29 September 2025, Holistic AI launched the 'LLM Decision Hub,' a free public resource (hosted at llmleaderboard.ai) that ranks 20+ leading LLMs on performance, safety, coding ability, mathematical reasoning, jailbreak resistance and total cost of ownership, using Holistic AI's own red-teaming and independent benchmark data — a model-selection/benchmarking capability not reflected in the existing capability table, which covers AI governance/registry functions only.
Holistic AI was named one of five vendors in Gartner's 'Cool Vendors for AI Security' report (published ~23 October 2024, announced by the vendor on 7 November 2024) — a separate Gartner recognition from the 4/5 Gartner Peer Insights review rating already cited on the page, and not currently mentioned anywhere in the existing profile.
On 16 December 2024, Holistic AI completed what it and press coverage describe as the world's first independent third-party audit of Wikipedia under the EU Digital Services Act (Wikipedia being one of 23 EU-designated Very Large Online Platforms) — one of only two smaller/specialist firms (alongside FTI Consulting, which audited X) to land a VLOP audit, versus the Big Four firms auditing the rest. This shows Holistic AI has expanded from AI-governance software into independent regulatory-audit services under the DSA, a framework not mentioned anywhere in the existing profile (which cites only EU AI Act, NIST AI RMF and ISO 42001).
07Sourced 2025-2026 signals
What's new at Modulos (2025-2026, sourced)
These sourced updates were researched on 2026-07-05 and are listed separately from the live comparison table so existing profile claims remain unchanged.
Modulos closed a CHF 8.7 million pre-Series A funding round, announced 22 July 2025, bringing its total funding to CHF 16.4 million; the company said the capital would scale the platform ahead of the EU AI Act's August 2026 enforcement deadline. No individual investors were named in the release.
Modulos was named an "Honorable Mention" (not Leader or Visionary) in the inaugural Gartner Magic Quadrant for AI Governance Platforms, published 16 June 2026 and announced by Modulos on 18 June 2026 -- a lower analyst-recognition tier than peers such as IBM (Leader) or OneTrust and ModelOp (Visionary) in the same report.
Modulos AG's own press-release archive dates its SOC 2 Type 2 certification announcement to 7 October 2025 ("Modulos AG Achieves SOC 2 Type 2 Certification, Reinforcing Commitment to Enterprise Security and Trust"), giving a specific timestamp for the SOC 2 Type II claim the existing file already states as current fact without a date.
Modulos published a named customer case study: JobCloud AG (operator of Switzerland's jobs.ch, jobup.ch and JobScout24.ch, serving 49,000+ companies) selected Modulos to inventory and risk-classify its candidate-ranking, application-filtering and job-matching AI systems -- which fall under the EU AI Act's Annex III high-risk employment category -- and to build the required technical documentation and human-oversight controls.
Modulos publishes its own head-to-head comparison pages against a broader competitor set than the existing file lists, including Vanta and OneTrust (not just AI-governance pure-plays like Credo AI). Its Modulos-vs-Vanta page frames Vanta as a startup/scale-up SOC 2 and ISO 27001 audit-automation platform that has bolted on AI-framework support, versus Modulos's ISO 42001/EU-AI-Act-native depth including CE-marking workflow support that it says Vanta refers out to specialists.
08Overlap and gaps
Holistic AI vs Modulos: what the public data actually shows
Feature count is only a starting point. A customer should separate shared coverage from unique public signals, then test whether the vendor can run the required workflow end to end.
| Decision point | Public signal | Buyer interpretation |
|---|---|---|
| Shared evidenced coverage | Vendor risk; AI governance; Policy/notice management; Approval workflows; Audit trail; Role-based access control | If your requirement sits here, compare workflow depth, implementation effort, evidence quality and price. |
| Only Holistic AI publicly confirmed | Holistic AI has no unique tracked public capability against Modulos in this dataset. | Keep Holistic AI on the shortlist for these requirements, but ask Modulos whether the same capability exists in current product scope. |
| Only Modulos publicly confirmed | Multi-entity support; PDF/CSV/Excel export | Keep Modulos on the shortlist for these requirements, but ask Holistic AI whether the same capability exists in current product scope. |
| Acompli reference column | DPIA/PIA assessments; RoPA / Article 30; Data mapping; Privacy risk; Retention management; Spreadsheet import | Use this as a third reference point where a narrower evidence-first privacy workflow may be preferable to a broader platform. |
09Capability comparison
Holistic AI vs Modulos: capability by capability
Each capability is marked Y or N for Holistic AI and Modulos based on what each vendor publicly documents, with Acompli shown in the final column.
| Capability | Holistic AI | Modulos | Acompli |
|---|---|---|---|
| DPIA/PIA assessments | N | N | Y |
| RoPA / Article 30 | N | N | Y |
| DSAR / privacy rights | N | N | N |
| Data mapping | N | N | Y |
| Vendor risk | Y | Y | Y |
| Privacy risk | N | N | Y |
| AI governance | Y | Y | Y |
| Consent management | N | N | N |
| Cookie/tracker scanning | N | N | N |
| Breach/incident management | N | N | N |
| Retention management | N | N | Y |
| Policy/notice management | Y | Y | N |
| Training module | N | N | N |
| Approval workflows | Y | Y | Y |
| Audit trail | Y | Y | Y |
| Role-based access control | Y | Y | Y |
| Multi-entity support | N | Y | Y |
| Spreadsheet import | N | N | Y |
| PDF/CSV/Excel export | N | Y | Y |
| Public pricing | N | N | N |
10Where each is stronger
Holistic AI vs Modulos: the differences that matter
On the tracked capabilities, Holistic AI and Modulos overlap on most rows; the differences that matter are the capabilities only one of them evidences, plus the depth and focus each brings to them.
- Only Modulos (not Holistic AI) is evidenced for: Multi-entity support, PDF/CSV/Excel export.
- Holistic AI: Automated AI discovery and a live inventory - scanning cloud platforms, code repositories, data platforms and SaaS across 20+ integrations to surface shadow AI and track ownership, lifecycle and business purpose.
- Holistic AI: Deep technical risk testing - 40+ tests for bias, robustness, safety, security and performance, plus red teaming, LLM evaluation and jailbreak-resistance checks.
- Modulos: A Governance Graph that maps one control across 13+ AI frameworks - EU AI Act, ISO 42001, ISO 23894, NIST AI RMF, ISO 27001, DORA, NIS2.
- Modulos: Monetary AI-risk quantification - from risk matrices to Monte Carlo with VaR/CVaR - so boards and audit committees see AI risk in EUR/CHF/USD rather than red/amber/green heatmaps.
11Customer due diligence
Questions customers should ask before choosing Holistic AI or Modulos
A useful comparison should move beyond a product page checklist. Customers should ask each supplier to prove the same live workflow, with the same assumptions, so the difference between platform breadth and usable evidence becomes visible.
Run one real workflow
Ask Holistic AI and Modulos to process the same example: new activity, assessment, RoPA update, supplier evidence, risk record, review and export.
Check evidence provenance
Confirm whether each important field in Holistic AI and Modulos has a source, owner, review date and change history, not just a completed form.
Validate exports
Ask both vendors for a regulator-readable export for one legal entity, including controller and processor records where relevant.
Confirm commercial scope
Verify which modules, integrations, service hours, data residency options and support commitments are included in the quoted Holistic AI or Modulos package.
12Shortlisting notes
Choosing between Holistic AI and Modulos
Assess Holistic AI and Modulos against the workflow you actually need to run - RoPA, DPIA, vendor and risk records - and how defensibly each exports its evidence.
- Shortlist Holistic AI when the main problem is surfacing shadow AI and proving AI systems are safe, unbiased and compliant through continuous technical testing.
- Shortlist Modulos when the main problem is governing AI systems across the EU AI Act, ISO 42001 and NIST AI RMF with quantified risk and production-runtime evidence.
- Ask Holistic AI and Modulos to run one real scenario end to end - a new processing activity, its assessment, the RoPA update, supplier evidence, the privacy risk and an exportable audit trail - rather than a feature-by-feature demo.
13Ireland & UK
Holistic AI vs Modulos: Article 30 records for Irish and UK teams
Both Holistic AI and Modulos are weighed by Irish and UK privacy teams against the same fixed obligation: a record of processing activities under GDPR Article 30 - a controller record under Article 30(1) and a separate processor record under Article 30(2). In Ireland the Data Protection Commission (DPC) publishes Article 30 guidance; in the UK the ICO sets out what UK GDPR requires.
Whichever of Holistic AI or Modulos an Irish or UK team weighs, the questions are the same: how deep is the Article 30 record, is EU and UK GDPR distinguished on one register, and can each legal entity produce a self-contained export its own supervisory authority can read?
| Article 30 check | Holistic AI | Modulos | Why customers care |
|---|---|---|---|
| Controller record | Ask Holistic AI to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | Ask Modulos to show the Article 30(1) controller fields for one processing activity, including purposes, categories, recipients, transfers, retention and security measures. | A controller record must stand on its own when a regulator or auditor asks for it. |
| Processor record | Ask Holistic AI to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Ask Modulos to show Article 30(2) processor records separately from controller records, scoped to the controller on whose behalf processing is carried out. | Many tools capture controller records more clearly than processor records; customers should verify both. |
| Ireland and UK fit | Ask Holistic AI how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Ask Modulos how EU GDPR and UK GDPR records are separated or tagged for Irish and UK entities. | Irish DPC and UK ICO expectations are close, but entity scope, local law references and export format still matter. |
| Standalone export | Ask Holistic AI for a complete export that a legal entity could provide without giving the regulator product access. | Ask Modulos for a complete export that a legal entity could provide without giving the regulator product access. | A defensible record should be readable outside the platform, with enough context to explain the processing activity. |
- Article 30(1) and 30(2) - does each of Holistic AI and Modulos model controller and processor records separately, scoped by legal entity?
- DPC (Ireland) and ICO (UK) - is EU and UK GDPR distinguished on one register for Holistic AI or Modulos?
- Export - can Holistic AI or Modulos let each legal entity produce a self-contained record its own supervisory authority can read?
Comparison FAQ
Holistic AI vs Modulos questions answered
Acompli answers
Acompli: the focused alternative to both
Acompli overlap
Related Acompli workflows
Holistic AI vs Acompli
Compare Holistic AI directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleModulos vs Acompli
Compare Modulos directly with Acompli across RoPA, DPIA, risk and vendor records.
Open moduleAssessments
Run DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with templates, AI support and human approval.
Open moduleRoPA management
Maintain Article 30 records that stay linked to approved assessments, systems, suppliers and transfers.
Open moduleCompare Holistic AI and Modulos against a real workflow.
Bring one RoPA, DPIA, vendor, risk or AI-governance requirement and map which parts Holistic AI covers, which Modulos covers, and where each option fits.
Acompli architecture
One governed foundation. Five connected modules.
Imported systems, suppliers, policies, DPIAs and RoPA spreadsheets become the shared evidence model for assessments, risk, records, third-party oversight and data mapping.
- OnboardingImport DPIAs, RoPA spreadsheets, suppliers, systems, policies and documents.
- AssessmentsRun DPIAs, LIAs, TIAs, processor reviews and AI Act assessments with human approval.
- RiskExtract candidate risks from approved evidence and assign treatment plans.
- RoPAMaintain Article 30 records linked to assessments, systems, suppliers and transfers.
- Third-PartyRecord suppliers once, then reference them across assessments, RoPA, risk and maps.
- Data MappingBuild a living view of systems, suppliers, locations, categories and transfers.
Point tools create records. Acompli connects them.