Vendor comparison

Holistic AI vs Credo AI: capability comparison

A side-by-side comparison of Holistic AI and Credo AI across RoPA, DPIA, DSAR, vendor risk, AI governance and evidence workflows. Acompli is shown as a third reference column.

Holistic AICredo AIComparison
Fit

Who each option is best for, and where either supplier is deliberately narrower.

Evidence

Which public claims, review signals, caveats and capability rows are evidenced.

Operations

How much work it takes to implement, maintain and export the privacy record.

Decision

The questions a privacy team should ask before switching or shortlisting.

Key takeaways

  • Holistic AI and Credo AI are compared here on public, evidence-framed capability coverage: Holistic AI is evidenced for 6 of 20 tracked capabilities, Credo AI for 6.
  • Holistic AI and Credo AI have near-identical evidenced coverage across the tracked capabilities; the decision turns on depth, fit and price rather than feature presence.
  • 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

Holistic AI profilePositioning, strengths, caveats
Market lanechecked
Best-fit buyerchecked
Public strengthschecked
Capability evidencechecked
Acompli overlapTools, services, limits
Overlapchecked
Gapschecked
Exportschecked
Shortlist fitchecked

01Short answer

Holistic AI vs Credo AI

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. Credo AI is positioned as: US enterprise AI-governance, risk and compliance platform for the EU AI Act, NIST AI RMF and ISO 42001.

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 Credo AI at a glance

Decision questionHolistic AICredo AIAcompli
Best fitEnterprises that need to discover, inventory, technically test and monitor AI systems at scale against the EU AI Act, NIST AI RMF and ISO 42001Enterprise AI, ML and data-science programmes that need to discover, inventory, test and govern AI systems and agents against the EU AI Act, NIST AI RMF and ISO 42001Privacy 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 modelAn end-to-end AI-governance platform: automated AI discovery, live inventory, technical risk testing, continuous monitoring and real-time enforcementAI-governance, risk and compliance platform: AI registry and discovery, continuous risk intelligence, policy packs, evidence generation and runtime/agent governanceFirst-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 itChoose Holistic AI when the main problem is surfacing shadow AI and proving AI systems are safe, unbiased and compliant through continuous technical testingChoose Credo AI when the main problem is governing a large estate of AI models and agents against AI-specific frameworks, with model-level discovery, testing and conformityChoose 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 Credo AI offers

Credo AI (Palo Alto, California; founded 2020 by Navrina Singh) is an enterprise platform purpose-built for AI governance, risk and compliance. Its stated aim is to let enterprises trust their AI and prove it: discover and inventory AI systems, agents and shadow AI; run continuous risk assessment; apply pre-built regulatory policy packs; and generate audit-ready evidence. It maps to the EU AI Act, NIST AI RMF, ISO 42001, SOC 2 and US-specific rules (for example Colorado SB21-169 and NYC Local Law 144), and integrates with cloud, MLOps and GRC tooling such as AWS, Azure, GCP, Databricks, Snowflake, ServiceNow and OneTrust. Named customers include Mastercard, Autodesk, Booz Allen Hamilton and US federal programmes, and Credo AI was named a Leader in The Forrester Wave AI Governance Solutions, Q3 2025, and recognised in the 2025 Gartner Market Guide for AI Governance Platforms.

  • Best for: Large enterprises and regulated organisations (financial services, healthcare, public sector) running in-house AI/ML and agent estates that need model-level discovery, testing, policy conformity and audit-ready evidence across AI frameworks.
  • Deployment: Cloud SaaS AI-governance platform (with a documented self-hosted option); AI registry, risk intelligence, policy engine, runtime/agent governance and governance AI agents (GAIA), integrated with cloud, MLOps and GRC tooling. Multiple organisations and business units are not supported on a single instance per Credo AI's self-hosted documentation.

05Capability comparison

Holistic AI vs Credo AI: 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.

* "N" means the capability was not evidenced in the public sources reviewed for this comparison - not proof the vendor cannot provide it. "Y" means publicly evidenced. Verify current scope and exports directly with each vendor.
CapabilityHolistic AICredo AIAcompli
DPIA/PIA assessmentsNNY
RoPA / Article 30NNY
DSAR / privacy rightsNNY
Data mappingNNY
Vendor riskYYY
Privacy riskNNY
AI governanceYYY
Consent managementNNN
Cookie/tracker scanningNNN
Breach/incident managementNNN
Retention managementNNY
Policy/notice managementYYN
Training moduleNNN
Approval workflowsYYY
Audit trailYYY
Role-based access controlYYY
Multi-entity supportNNY
Spreadsheet importNNY
PDF/CSV/Excel exportNNY
Public pricingNNN

06Where each is stronger

Holistic AI vs Credo AI: the differences that matter

On the tracked capabilities, Holistic AI and Credo AI 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 Credo AI lacks in the tracked set.
  • No capability is evidenced for Credo AI that Holistic AI lacks in the tracked set.

07Shortlisting notes

Choosing between Holistic AI and Credo AI

Holistic AI and Credo AI 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 Credo AI 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 Credo AI 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 Credo AI 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?

Compare Holistic AI and Credo AI against a real workflow.

Bring one RoPA, DPIA, DSAR, vendor, risk or AI-governance requirement and map which parts Holistic AI covers, which Credo AI covers, and where each option fits.