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, DSAR, 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, evidence-framed capability coverage: Holistic AI is evidenced for 6 of 20 tracked capabilities, Modulos for 8.
- The clearest differences: Holistic AI adds nothing Modulos lacks; Modulos adds Multi-entity support, PDF/CSV/Excel export.
- Capability coverage is evidence-framed from the public sources reviewed for this comparison; verify current scope, pricing and exports directly with each vendor.
Comparison workflow
From company profile to shortlist decision
01Short answerHolistic AI vs Modulos02At a glanceHolistic AI vs Modulos at a glance03ProfileWhat Holistic AI offers04ProfileWhat Modulos offers05Capability comparisonHolistic AI vs Modulos: capability by capability06Where each is strongerHolistic AI vs Modulos: the differences that matter07Shortlisting notesChoosing between Holistic AI and Modulos
Market lanechecked
Best-fit buyerchecked
Public strengthschecked
Capability evidencechecked
Overlapchecked
Gapschecked
Exportschecked
Shortlist fitchecked
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.
Published by Acompli and last reviewed on 29 June 2026. Capability coverage below is evidence-framed from public sources for all three.
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, DSAR, 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, DSARs, suppliers and risk decisions, and current after human approval |
03Profile
What Holistic AI offers
Holistic AI is a London-headquartered enterprise AI-governance platform that grew out of research by two University College London academics, Emre Kazim and Adriano Koshiyama, and evolved from a bias-auditing specialist into a full-lifecycle AI-governance platform. It frames its product in three stages - Identify (automated AI discovery and a live inventory across cloud, code, SaaS and vendors, to eliminate shadow AI), Protect (40+ technical tests for bias, safety, security and performance, including red teaming and LLM evaluation) and Enforce (deployment gates, approval workflows, kill switches and Guardian Agents that intervene in real time), with risk scores mapped to the EU AI Act, NIST AI RMF and ISO 42001.
- 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.
04Profile
What Modulos offers
Modulos AG (Zurich, Switzerland) is an ETH Zurich spin-off founded in 2018 that positions itself as a Responsible AI Governance platform for regulated enterprises. Its Governance Graph connects frameworks, requirements, controls, evidence and policies into a single queryable model so that one well-designed control can satisfy many frameworks at once - Modulos cites support for 13+ frameworks including the EU AI Act, ISO 42001, ISO 23894, NIST AI RMF, ISO 27001, GDPR-as-a-framework, DORA and NIS2. It is the first AI-governance platform to receive ISO 42001 product conformity certification (issued by CertX) and reports SOC 2 Type II, with SaaS or private-cloud/VPC deployment and multiple data-residency regions (EU, US, UAE, Singapore).
- 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.
05Capability comparison
Holistic AI vs Modulos: capability by capability
Each capability is marked Y or N from the public sources reviewed for this comparison. Acompli is 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 | Y |
| 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 |
06Where each is stronger
Holistic AI vs Modulos: the differences that matter
On the tracked capabilities, Holistic AI and Modulos overlap heavily; the decision usually turns on the handful of capabilities only one of them evidences, plus depth, jurisdiction fit and price.
- No capability is evidenced for Holistic AI that Modulos lacks in the tracked set.
- Only Modulos (not Holistic AI) is evidenced for: Multi-entity support, PDF/CSV/Excel export.
07Shortlisting notes
Choosing between Holistic AI and Modulos
Holistic AI and Modulos should each be assessed on the published fit above against the workflow you actually need to run - RoPA, DPIA, DSAR, vendor and risk records, and how defensibly each exports.
- Shortlist Holistic AI or Modulos where its broader suite, integrations or specific modules match the programme you want to run.
- Ask each vendor to demonstrate the same workflow end to end: a new processing activity, its assessment, the RoPA update, supplier evidence, the privacy risk and an exportable audit trail.
08Ireland & UK
Holistic AI vs Modulos for RoPA in Ireland and the UK
Records of processing activities are required 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 must be documented under UK GDPR.
Whichever of Holistic AI or Modulos you weigh, the questions for an Irish or UK team are the same: how deep is the Article 30 record, and how defensibly does it export?
- Article 30(1) and 30(2) - does it model controller and processor records separately, scoped by legal entity?
- DPC (Ireland) and ICO (UK) documentation - are EU and UK GDPR distinguished on one register?
- Export - can each legal entity produce a self-contained record its own supervisory authority can read?
Acompli overlap
Related Acompli workflows
Holistic AI vs Acompli
Compare Holistic AI directly with Acompli across RoPA, DPIA, DSAR, risk and vendor records.
Open moduleModulos vs Acompli
Compare Modulos directly with Acompli across RoPA, DPIA, DSAR, 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, DSAR, vendor, risk or AI-governance requirement and map which parts Holistic AI covers, which Modulos covers, and where each option fits.