Holistic AI is presented as an end-to-end AI governance platform that discovers, inventories, scores, monitors, and enforces controls across built, bought and embedded AI to ensure compliance, performance, and risk management. Site taglines include "Holistic AI: The End-to-End Platform for Safe, Scalable AI Governance" and "The Leading AI Governance Platform." Core capabilities described on the site include: continuous discovery and inventory of AI deployments (including shadow AI and embedded tools) with metadata such as owner, lifecycle stage, vendor and risk; automated risk scoring and assessment across Bias, Privacy, Efficacy, Transparency and Robustness with exportable audit-ready reports; testing and assurance including red teaming/jailbreak audits and continuous monitoring for drift, vulnerabilities and hallucinations; real-time monitoring, runtime controls, alerts and remediation workflows; policy and compliance features including policy enforcement, model documentation (model cards) and readiness checks aligned to frameworks such as the EU AI Act, NIST AI RMF, ISO 42001, NYC Bias Audit and the Digital Services Act; integrations with cloud, code, collaboration and SaaS tooling; and modular adoption allowing customers to adopt module-by-module or the full suite. Company information on the site indicates origins in research at University College London, founders including Dr. Adriano Koshiyama and Dr. Emre Kazim, offices in San Francisco and London, and a distributed team serving North America and Europe. Noted customers/partners shown on the site include Unilever, Siemens, Allegis, MAPFRE, Starling Bank and Johnson Controls. The site emphasizes enterprise-focused adoption, audit-ready reporting, and alignment with regulatory and standards frameworks. No public pricing, tiers, or free-trial/self-serve sign-up are listed on the site; the recommended route for pricing and licensing information is to request a demo. The site references recent product updates and press (including investment by Mozilla Ventures mentioned on the site). Recommended next steps listed by the reviewer include scheduling a demo, requesting product datasheets and technical/security documentation, requesting compliance mapping artifacts and sample audit exports, and pursuing a pilot or proof-of-value for hands-on evaluation.