AI governance platform helping enterprises discover, assess, and monitor AI systems for bias, security, and regulatory compliance. Core capabilities: AI asset inventory/discovery (find shadow AI), bias auditing (five-pronged approach), EU AI Act conformity assessments, NYC Local Law 144 compliance, NIST AI RMF alignment, and continuous monitoring. Founded 2020 by Adriano Koshiyama and Dr. Emre Kazim (UCL researchers). $35M VC funding (May 2024, per Preqin — NOT the $220M ‘H’ raise, which is a different French company formerly also called ‘Holistic AI’). Mozilla Ventures, Dallas VC, Premji Invest as investors. HQ London with San Francisco office. Triple-certified: ISO 27001 + SOC 2 + Cyber Essentials. Metadata-only, read-only integrations (zero production disruption). G2: 0 reviews (listed). Case study: Starling Bank bias audit. Competitors: Credo AI, IBM watsonx.governance, Arthur AI, Truera, Monitaur. STRONG LEGAL DEPARTMENT RELEVANCE: in-house GC and legal ops teams own AI governance policy (confirmed by multiple industry articles: ‘In-House Counsel Must Rethink AI Playbook,’ ‘AI Risk in 2026: 3 Critical Changes for GC’). Also relevant to M&A due diligence — Holistic AI published ‘AI governance: the silent dealbreaker in modern M&A.’ NOT relevant to solo/small firm lawyers. Pricing: enterprise custom. AI governance market projected $492M (2026) → $1B+ (2030).
Company Info
- Founded: 2020
- Team size: 51-200 employees
- HQ: United Kingdom
- Sector: Governance/Compliance/Risk Management
What We Haven’t Verified
This page was assembled from publicly available information. Feature claims and workflow mappings are based on what the vendor and third-party listings publish — not hands-on testing or practitioner feedback.
Workflows
Based on practitioner evidence, Holistic AI is used in these workflows:
What practitioners struggle with
Real frustrations from legal professionals — the problems Holistic AI addresses (or should address). Sourced from practitioner reviews, Reddit threads, and case studies.
In-house legal team gets 200+ compliance queries per month ('Can we do X in Germany?', 'Does CCPA apply to this data?') — each one requires a lawyer to manually triage, research, and respond, but 80% are repetitive questions with deterministic answers that could be automated into a decision tree
Business teams are deploying AI tools faster than legal can review them — there's no intake queue, no risk framework, and the GC finds out about new AI systems from LinkedIn posts, not from an approval workflow
Where it fits in your workflow
Community Data
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