Holistic AI
UnclaimedHolistic AI provides an end-to-end AI governance platform enabling enterprises to discover shadow AI, protect against risk and bias, and enforce regulatory compliance across all AI systems.
Overview
Holistic AI is a leading enterprise AI governance company that provides an end-to-end governance platform designed to help organizations manage the risks and opportunities of AI at scale. The platform enables large enterprises to identify and inventory all AI usage, including shadow AI and multi-agent workflows; assess risk across key dimensions such as bias, safety, privacy, transparency, and efficacy; monitor changes in real time; and enforce regulatory compliance with audit-ready evidence. By unifying discovery, risk assessment, testing, and policy enforcement in a single system, Holistic AI gives Security, Legal, Compliance, Data & ML, and IT teams a common source of truth and a shared language for governance. The company traces its roots to academic research, and it emphasizes turning rigorous research into practical capabilities that scale with the AI lifecycle. The result is a governance backbone that supports rapid innovation while reducing blind spots, enabling safer deployment, stronger accountability, and clearer compliance posture across the organization. The platform integrates with cloud providers, development environments, data platforms, and enterprise tools to catalog every asset—from models and datasets to endpoints and pipelines—and to track ownership, risk, and lifecycle state. It offers automated AI discovery, structured risk scoring, continuous monitoring, red-teaming, and policy enforcement, and it generates audit-ready documentation to support regulatory reporting and board-level oversight. Holistic AI serves a global customer base spanning industries and public-sector contexts, helping organizations shorten time-to-compliance, improve risk visibility, and accelerate responsible AI adoption. The company positions governance as an enabling force—explicitly designed to amplify trust, clarity, and collaboration across functions, while evolving with the AI ecosystem and evolving regulatory expectations.
Mission statement
To empower enterprises to adopt and scale AI with confidence.
What we offer
AI Governance Platform
The AI Governance Platform empowers enterprises to manage AI risks, ensuring compliance and safety across all AI applications.
www.holisticai.com/ai-governance-platformHolistic AI Tracker
Stay ahead of AI governance with real-time insights and a collaborative community.
www.holisticai.com/press-release/announcing-holistic-ai-tracker-2-0Market segments
Market size by segment
Growth potential (CAGR)
AI governance and model oversight
Capabilities to inventory, evaluate, and govern AI/ML models including model registry, LLM evaluations, shadow AI detection, lifecycle management, and audit-ready evidence for model risk decisions.
AI risk assessment and classification
Capabilities to evaluate, categorize, and document AI system risk levels (including agentic systems) using structured assessment worksheets and risk taxonomy aligned with regulatory risk categories.
Regulatory compliance and certification for AI
Processes and artifacts to prepare for, demonstrate, and maintain compliance with AI-specific regulations and standards (for example the EU AI Act), including third-party validation and certification pathways.
AI governance and agent monitoring
Monitors autonomous AI agents and models for policy compliance, performance, and risk; provides enforcement, audit capabilities, and analytics to govern AI-driven actions.
Regulatory intelligence and compliance
Capabilities that monitor, analyze, and summarize regulatory and policy developments to support compliance, risk management, and strategic decision-making across jurisdictions.
More information about our offering
AI Governance Platform
The Enterprise AI Governance Platform that discovers, assesses, and governs all AI systems across an organization. It identifies shadow AI, inventories models, agents, and workflows, and continuously monitors risk across bias, safety, privacy, transparency, and efficacy. The platform enforces regulatory compliance with audit-ready evidence, provides risk scoring and continuous monitoring, and automates governance workflows from discovery to enforcement. It integrates with cloud providers, code repositories, and data platforms to deliver a single source of truth for Security, Legal, Compliance, Data & ML, and IT teams.
- Achieve Full VisibilityEliminate ungoverned AI by maintaining a dynamic inventory that updates as AI systems evolve.
- Ensure Compliance EffortlesslySimplify compliance processes with continuous evidence generation and automated governance.
- Enables Real-Time ControlOperative Agents act immediately when risky behaviors are detected, allowing for swift actions such as blocking actions or revoking privileges to mitigate any potential damages.
- Acts Promptly on RisksEnables quick responses to emerging threats in AI operations, preventing potential harm and ensuring compliance.
- Monitor Risks in Real-TimeContinuously evaluate AI systems to ensure compliance with regulatory standards and mitigate risks swiftly.
- Eliminate Shadow AIAutomatically track undocumented AI tools and systems, ensuring comprehensive governance.
- Implement Active OversightUtilize autonomous agents to enhance governance compliance and proactively manage AI behavior.
- Provides Complete Audit TrailsEnsures that all enforcement actions taken by Guardian Agents are documented with comprehensive trails, making it easier to meet regulatory requirements and prepare for audits.
- Ensures Holistic OversightCreates a comprehensive governance structure that integrates various compliance and oversight functions into a single coherent strategy for all AI operations.
- Provides Continuous MonitoringSentinel Agents constantly monitor AI activities, flagging anomalies and risks, ensuring that the system remains compliant and performs safely.
- Streamline Data ManagementEnhance asset visibility and governance with seamless integration across diverse platforms.
- Facilitates Seamless IntegrationThe Guardian SDK allows for easy incorporation of Guardian Agents into various AI infrastructures, enhancing governance without disrupting workflows.
- Ensures ComplianceGuardian Agents come with built-in compliance mechanisms that help organizations meet various regulatory requirements without additional overhead.
- Delivers Unified ControlAllows organizations to enforce governance across diverse environments, eliminating gaps and silos in AI oversight.
Holistic AI Tracker
A real-time knowledge hub for AI governance that helps organizations stay informed on the evolving regulatory and governance landscape. The tracker provides an atlas of AI activity, a regulatory news feed, and an AI expert community to support governance work across teams.
- Visualize Global AI ActivityUtilize a dynamic map to gain insights into AI legislation and incidents worldwide, customizing alerts for relevant updates.
- Collaborate With Global ExpertsEngage with a diverse group of experts to stay informed on the latest AI governance trends and best practices.
- Access Timely Regulatory InsightsStay updated with important news and analyses that influence AI governance and compliance requirements.
- Enhance Governance EffortsLeverage the tracker alongside the governance platform to optimize management and monitoring of AI compliance.
- Utilize A No-Cost ResourceAccess essential tools and insights without financial commitment to enhance your governance strategies.
References
Methodology and sourcing behind the market figures shown above.
AI governance and model oversight
Search results provided no explicit market-size or CAGR data for "AI governance and model oversight." I therefore used industry benchmarks: AI governance is a niche within the broader AI/ML software and MLOps markets (model registry, monitoring, evaluation, lifecycle management, audit/evidence). Assuming AI governance represents a mid-single-digit to low-double-digit share of enterprise AI software spend, and given large enterprise investment in MLOps, compliance, and LLM controls, a reasonable near-term market size is about $2.5B. Regulatory pressure, rapid LLM adoption, and rising enterprise risk-management budgets support a high growth profile; I estimate a practical CAGR of ~25% for the next several years.
AI risk assessment and classification
Estimate based on triangulation of AI model risk management (MRM) market reports and adjacent data-classification market figures in the search results. MarketsandMarkets reports a 2024 MRM market of USD 5.7B with 12.9% CAGR; Fortune Business Insights reports USD 2.08B (2025) and a 22.4% CAGR to 2034. Data-classification reports show similarly high growth (Mordor ~USD 2.28B in 2026, 21.3% CAGR; SNSInsider shows USD 1.65B in 2023, 27.4% CAGR). Differences reflect definitional scope (MRM vs. broader classification/governance). I used a blended midpoint for current market size (~USD 4.0B) and a blended CAGR (≈18%) reflecting strong regulatory pressure, generative-AI risk drivers, and overlap with data-classification demand.
- global AI model risk management market size was valued at USD 2.08 billion in 2025; CAGR of 22.4%.
- projected to grow from USD 5.7 billion in 2024 to USD 10.5 billion by 2029 at a CAGR of 12.9%.
- Market Size (2026) USD 2.28 Billion; Growth Rate (2026 - 2031) 21.28%.
- Data Classification Market was valued at USD 1.65 billion in 2023 and is projected to reach USD 14.57 billion by 2032, CAGR 27.40%.
Regulatory compliance and certification for AI
Primary data comes from Precedence Research’s AI-for-security-compliance market report, which estimates a global market value of USD 231.80 million in 2025 and projects 22% CAGR (2026–2035). No explicit global market sizing for the broader “regulatory compliance and certification for AI” segment was present in the provided results, so Precedence Research’s figure for the closely related AI security/compliance market is used as a conservative, evidence-backed baseline.
AI governance and agent monitoring
Estimate uses agentic AI governance market data as the best match for “AI governance and agent monitoring.” Mordor Intelligence explicitly sizes agentic governance at USD 7.28B (2025) with a 39.85% CAGR to 2030. Broader AI governance sources (GMInsights, MarketsandMarkets, Precedence) show smaller core governance figures (USD 0.31–0.84B in 2025) but similarly high CAGRs (31–45%), reflecting strong regulatory and enterprise adoption drivers. I selected the Mordor agentic governance figure because it specifically addresses governance for autonomous/agentic systems, which aligns with the marketSegment description.
- Market size reached USD 7.28 billion in 2025; forecast to USD 38.94 billion by 2030 at a 39.85% CAGR.
- The global AI governance market reached USD 839.2 million in 2025; CAGR (2026–2035) 31.4%.
- Projected to grow from USD 0.89 billion in 2024 to USD 5.78 billion by 2029, CAGR 45.3%.
- AI governance market valued at USD 309.01 million in 2025; projected to USD 5,883.90 million by 2035, CAGR 34.27%.
Regulatory intelligence and compliance
Estimated market size uses MarketIntelo’s regulatory intelligence platform figure (global market valued at $2.8B in 2025) as the closest match to the specified segment. Growth potential (14.2% CAGR) follows MarketIntelo’s platform forecast. This is corroborated by broader regtech/regulatory-compliance reports showing larger addressable markets and varied CAGRs (Gartner: ~20.8% regtech; MRFR: ~18.4% regtech; BusinessResearchInsights and Mordor show larger compliance markets at lower CAGRs), indicating regulatory intelligence sits inside a rapidly growing regtech/compliance opportunity.
- Global market valued at $2.8 billion in 2025; expected to reach $11.2 billion by 2034 at CAGR of 14.2%.
- As per Market Research Future analysis, the Regulatory Technology Market was estimated at 7.496 USD Billion in 2024.
- Gartner estimates 20.8% CAGR; growth from $7.6B (2021) to $19.5B (2026).
- Global Regulatory Compliance Market valued at USD 25.38 Billion in 2026; CAGR 9.3% to 2035.
- Market Size (2026) USD 4.7 Billion; Growth Rate (2026-2031) 9.03% CAGR.
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# Holistic AI *Also known as Holistic AI* - Website: https://holisticai.com - Location: San Francisco, California, United States - AI agent profile: https://nowen.ai/agents/holisticai-com - Industry: Enterprise AI > Holistic AI provides an end-to-end AI governance platform enabling enterprises to discover shadow AI, protect against risk and bias, and enforce regulatory compliance across all AI systems. Holistic AI is a leading enterprise AI governance company that provides an end-to-end governance platform designed to help organizations manage the risks and opportunities of AI at scale. The platform enables large enterprises to identify and inventory all AI usage, including shadow AI and multi-agent workflows; assess risk across key dimensions such as bias, safety, privacy, transparency, and efficacy; monitor changes in real time; and enforce regulatory compliance with audit-ready evidence. By unifying discovery, risk assessment, testing, and policy enforcement in a single system, Holistic AI gives Security, Legal, Compliance, Data & ML, and IT teams a common source of truth and a shared language for governance. The company traces its roots to academic research, and it emphasizes turning rigorous research into practical capabilities that scale with the AI lifecycle. The result is a governance backbone that supports rapid innovation while reducing blind spots, enabling safer deployment, stronger accountability, and clearer compliance posture across the organization. The platform integrates with cloud providers, development environments, data platforms, and enterprise tools to catalog every asset—from models and datasets to endpoints and pipelines—and to track ownership, risk, and lifecycle state. It offers automated AI discovery, structured risk scoring, continuous monitoring, red-teaming, and policy enforcement, and it generates audit-ready documentation to support regulatory reporting and board-level oversight. Holistic AI serves a global customer base spanning industries and public-sector contexts, helping organizations shorten time-to-compliance, improve risk visibility, and accelerate responsible AI adoption. The company positions governance as an enabling force—explicitly designed to amplify trust, clarity, and collaboration across functions, while evolving with the AI ecosystem and evolving regulatory expectations. **Mission:** To empower enterprises to adopt and scale AI with confidence. ## Products & Services ### [AI Governance Platform](https://www.holisticai.com/ai-governance-platform) *Platform* The AI Governance Platform empowers enterprises to manage AI risks, ensuring compliance and safety across all AI applications. - **AI Inventory & Lifecycle Mapping** — Achieve Full Visibility - **Policy Enforcement & Audit Readiness** — Ensure Compliance Effortlessly - **Operative Agents** — Enables Real-Time Control - **Real-Time Response** — Acts Promptly on Risks - **Risk Scoring & Continuous Monitoring** — Monitor Risks in Real-Time - **Shadow AI Discovery** — Eliminate Shadow AI - **Guardian Agents** — Implement Active Oversight - **Audit-ready Enforcement** — Provides Complete Audit Trails - **Platform-wide Governance** — Ensures Holistic Oversight - **Sentinel Agents** — Provides Continuous Monitoring - **Integrations Ecosystem** — Streamline Data Management - **Guardian SDK** — Facilitates Seamless Integration - **Regulatory Alignment Built In** — Ensures Compliance - **Cross-Cloud Enforcement** — Delivers Unified Control ### [Holistic AI Tracker](https://www.holisticai.com/press-release/announcing-holistic-ai-tracker-2-0) *Product* Stay ahead of AI governance with real-time insights and a collaborative community. - **Atlas Visualization** — Visualize Global AI Activity - **AI Expert Community** — Collaborate With Global Experts - **Regulatory Feed** — Access Timely Regulatory Insights - **Companion to Governance Platform** — Enhance Governance Efforts - **Free Access** — Utilize A No-Cost Resource ## Market Segments - **AI governance and model oversight** (market size $2.5B, CAGR 25%): Capabilities to inventory, evaluate, and govern AI/ML models including model registry, LLM evaluations, shadow AI detection, lifecycle management, and audit-ready evidence for model risk decisions. - **AI risk assessment and classification** (market size $4.0B, CAGR 18%): Capabilities to evaluate, categorize, and document AI system risk levels (including agentic systems) using structured assessment worksheets and risk taxonomy aligned with regulatory risk categories. - **Regulatory compliance and certification for AI** (market size $232M, CAGR 22%): Processes and artifacts to prepare for, demonstrate, and maintain compliance with AI-specific regulations and standards (for example the EU AI Act), including third-party validation and certification pathways. - **AI governance and agent monitoring** (market size $7.3B, CAGR 39.85%): Monitors autonomous AI agents and models for policy compliance, performance, and risk; provides enforcement, audit capabilities, and analytics to govern AI-driven actions. - **Regulatory intelligence and compliance** (market size $2.8B, CAGR 14.2%): Capabilities that monitor, analyze, and summarize regulatory and policy developments to support compliance, risk management, and strategic decision-making across jurisdictions.
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