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Arthur

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Governancearthur.ai

Arthur helps enterprises discover, govern, and observe AI agents across their environments with policy enforcement and real-time monitoring.

Overview

Arthur provides an enterprise-grade platform for discovering, governing, and observing AI agents across an organization’s infrastructure. The platform enables security, governance, and reliability teams to inventory every agent, enforce unified policies, monitor behavior in real time, and assess risk through guardrails and continuous evaluations. It supports multi-cloud and on-premises environments, delivering auditable telemetry and governance controls that help organizations manage agent risk, ensure compliance, and accelerate production readiness.

Mission statement

We make AI better for everyone.

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What we offer

Agent Discovery & Governance Platform (ADG)

Gain visibility, control, and trust across all AI agents in your organization.

www.arthur.ai/discover-and-govern-agents

Arthur Engine

Measure and improve AI model performance with comprehensive evaluation tools and governance.

www.arthur.ai/solution/engine-evaluation

Market segments

Market size by segment

Growth potential (CAGR)

AI inventory and discovery

2.5 Billion USD28% CAGR

Discovery, cataloging, and inventory management of models, agents, vendors, and use cases to provide visibility into sanctioned and unsanctioned AI and integrate with registries and pipelines.

Agent governance and runtime protection

1.65 Billion USD42% CAGR

Unified policy enforcement, auditable guardrails, runtime anomaly detection, and deployment security to enforce compliance and prevent unsafe agent behavior.

Model evaluation and observability

2.5 Billion USD28% CAGR

Continuous evaluation, logging, and telemetry for measuring model performance (accuracy, bias, toxicity) and observing behavior in production-like and agent-driven workflows.

AI cost and resource management

9 Billion USD34.4% CAGR

Monitoring and controlling spend and resource usage for agent and model workloads, including budget tracking and request routing to manage costs by team or user.

More information about our offering

Agent Discovery & Governance Platform (ADG)

An enterprise-grade platform that discovers, inventories, and governs AI agents across cloud, on-premises, and endpoints, with unified policy enforcement, real-time guardrails, and continuous evaluation to reduce risk and accelerate production readiness. This solution integrates features for monitoring and safeguarding agent workflows.

  • Discover Every Agent Instantly
    Arthur's discovery capabilities help identify every agent in your infrastructure, ensuring you have a complete view of your AI environment.
  • Standardize Your Governance Framework
    A unified governance approach simplifies policy management, ensuring consistency across all AI applications.
  • Ensure Safe Operations
    Protects against risky behaviors by automatically enforcing policies in real time, ensuring compliance.
  • Ensure Compliance and Accountability
    With continuous evaluations, you can audit agent performance and compliance in real-time, providing necessary data for governance reviews.
  • Prevent Unsafe Actions Instantly
    Real-time monitoring ensures that agents operate within safe parameters, alerting you to any anomalies as they occur.
  • Enable Full Visibility
    Provides an exhaustive log of agent actions, improving troubleshooting and performance tracking.
  • Track All Agents, Shadow or Not
    Visibility into shadow agents and their behavior is critical for maintaining a secure governance framework.
  • Securely Deploy AI Systems
    With Arthur, data stays within your control while deploying next-generation AI, ensuring compliance and security.
  • Manage Your AI Expenses
    Keep your AI spending within budget by monitoring and optimizing usage across teams.

Arthur Engine

Open-source evaluation engine that you can download, install, and run in your own environment to measure AI model performance with confidence, across metrics like accuracy and bias, and to support experimentation and governance for production AI.

  • Access Open-source Tools
    Utilize a powerful toolkit for free, allowing for customization and transparency in AI evaluations.
  • Monitor Performance Continuously
    Enable ongoing assessment of model effectiveness through comprehensive performance metrics.
  • Enable Continuous Evaluation
    Seamlessly integrate evaluation processes with existing AI applications for real-time insights.
  • Facilitate Experimentation
    Set up structured experiments and manage prompts effectively to optimize AI performance.
  • Deploy Models Quickly
    Leverage Docker for easy installation and rapid model evaluation setup, enhancing deployment times.
  • Customize Your Environment
    Deploy the Arthur Engine where it works best for you, maintaining control over your data.
  • Gain Insights into Operations
    Utilize detailed logs to understand model performance trends and identify areas for improvement.

References

Methodology and sourcing behind the market figures shown above.

AI inventory and discovery

Estimated by triangulating adjacent market sizes and growth rates in the provided search results: (1) data discovery/cataloging platforms (broader category) showing ~USD 20.14B (2026) and 15.7% CAGR; (2) inventory management software (product inventory focus) ~USD 3.44B (2026) with ~8.5% CAGR; and (3) rapidly growing AI-agent and AI-in-supply-chain segments (high CAGR: 37–46%) that drive demand for model/agent inventories, discovery, and governance. AI inventory & discovery is a niche cross-section of these categories (cataloging/model registries, vendor/use-case inventories, pipeline integration). Based on those adjacent TAMs and higher adoption rates for AI governance/catalog capabilities, the serviceable market is estimated at ~USD 2.5B today with higher growth potential (~28% CAGR) reflecting faster adoption of model/agent cataloging and governance compared with traditional inventory or data-discovery alone.

Agent governance and runtime protection

Estimated market size and growth based on published market reports for agentic/agent runtime security and AI TRiSM. I used MarketsandMarkets’ agentic AI security estimate (USD 1.65B in 2026; 42.0% CAGR) as the primary proxy for the narrower segment “agent governance and runtime protection,” and cross-checked larger and smaller estimates from SNSInsider and Globe Market Research (scope and definitions vary across reports). The selected figures reflect agent-specific governance and runtime-protection solutions rather than broader AI-security or platform markets, and align with multiple independent market forecasts showing very high mid-to-high double-digit CAGRs driven by enterprise agent adoption and runtime protection demand.

Model evaluation and observability

No explicit market-size or CAGR data for "model evaluation and observability" were present in the provided search results. Estimated using domain knowledge: model evaluation/observability is a focused subset of the broader MLOps/AI governance tooling market. Assumptions: (1) MLOps and associated model governance markets are multi‑billion USD; (2) observability/evaluation tooling represents roughly 15–30% of that addressable MLOps spend; (3) strong enterprise AI adoption, regulatory pressure, and increasing production model complexity drive high growth. Applying these assumptions yields an estimated current market size ~2.5 billion USD and a high-growth CAGR in the upper 20s (≈28%) over the near term.

AI cost and resource management

Used Future Market Insights AI Workload Management market as the primary anchor (USD 45B in 2025; CAGR 34.4%). The requested segment (AI cost and resource management for model/agent workloads) is a material subset of workload management (tools for orchestration, budgeting, routing). I estimated a 20% share of the broader AI workload management market (~USD 9.0B in 2025) and applied the same growth potential (CAGR 34.4%).

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