Holistic AI
Holistic AI provides an enterprise AI governance platform that helps organizations discover every model, agent and AI application, assess and continuously monitor risk, enforce policies, and produce audit-ready compliance evidence. Its stated mission is to empower enterprises to adopt and scale AI with confidence.
At a Glance
- Fortune 500 and large enterprises
- Small and midsize businesses
- Governments and regulators
- Financial services and insurance
- +4 more
AI Tools by Holistic AI
(1)Holistic AI
Enterprise AI Governance Platform
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Latest News
Global Agent: One AI Assistant for Search, Docs and Support
Holistic AI recognized as a Challenger in the first Gartner Magic Quadrant for AI Governance Platforms
Vahé Torossian appointed to Holistic AI's Board of Directors
Programmable Controls for Continuous AI Governance
Products & Services
End-to-end enterprise platform organized into Identify, Protect and Enforce: discovers and inventories models, agents, APIs and pipelines (including shadow AI); tests bias, robustness, efficacy, privacy and transparency; maps risk to frameworks; manages workflows, controls, remediation, approvals and audit evidence.
AI governance and risk-management offering made available through the Microsoft Azure Marketplace; supports enterprise AI trust, risk, security and compliance.
Knowledge and monitoring feed for AI governance and regulatory developments worldwide.
All-in-one knowledge hub for tracking AI governance, regulatory and compliance activity globally.
Market Position
Holistic AI positions itself as an end-to-end, enterprise-scale AI governance platform spanning discovery/inventory, risk testing and continuous enforcement rather than a point tool. Reported alternatives and competitors include Microsoft Purview, ServiceNow AI Control Tower, OneTrust AI Governance, IBM watsonx.governance, Collibra, Credo AI and Saidot; its differentiation is the combination of shadow-AI discovery, agentic testing, regulatory mapping, audit evidence and runtime Guardian/Operative Agents.
Leadership
Founders
Adriano Koshiyama
Co-founder and Co-CEO; Ph.D. in Computer Science from University College London, Honorary Research Fellow at UCL, and former AI Researcher at Goldman Sachs and the Alan Turing Institute. He has published more than 70 papers on AI auditing, assurance and risk management and participates in OECD/GPAI AI-risk work.
Emre Kazim
Co-founder and Co-CEO; previously worked in UCL's computer-science department on an interdisciplinary response to AI ethics, where he met Koshiyama. He holds an MSci in Chemistry and MA and Ph.D. in Philosophy from UCL and King's College London, and has published more than 50 peer-reviewed articles on AI ethics and governance.
Executive Team
Adriano Koshiyama
Co-Founder & Co-CEO
UCL Computer Science Ph.D.; former AI Researcher at Goldman Sachs and the Alan Turing Institute; Honorary Research Fellow at UCL and active in OECD/GPAI AI-risk work.
Emre Kazim
Co-Founder & Co-CEO
AI ethics and governance researcher from UCL; holds degrees from UCL and King's College London; member of the NIST AI Safety Institute and OECD Network of Experts on AI.
Board of Directors
Founding Story
Holistic AI began at University College London when researchers Adriano Koshiyama and Emre Kazim joined forces around the problem that AI's promise was being undermined by risk, uncertainty and governance approaches that could not match AI's speed and complexity. They set out to turn academic research, tests and methodologies into a scalable enterprise platform for trustworthy AI.
Business Model
Revenue Model
Enterprise B2B software platform sold through demo-led commercial engagements and licenses/subscriptions for AI governance, risk, compliance, monitoring and integrations.
Target Markets
- Fortune 500 and large enterprises
- Small and midsize businesses
- Governments and regulators
- Financial services and insurance
- Healthcare and life sciences
- Human resources and employment technology
- Enterprise-wide AI discovery and inventory, including shadow AI
- Pre-deployment and post-deployment AI risk assessment and testing
- Generative AI and large-language-model governance
- Agentic AI and multi-agent workflow governance
- AI security, runtime monitoring and policy enforcement
- Regulatory compliance and audit preparation
- Unilever
- Siemens
- Allegis Group
- MAPFRE