Arthur AI
AI monitoring software
About
Founded in 2020 by Adam Wenchel and John Dickerson in New York, Arthur AI provides an AI performance monitoring platform that helps enterprises deploy and manage machine learning models responsibly. The core product, Arthur Shield, offers real-time monitoring for model accuracy, bias detection, explainability, and data drift across the ML lifecycle. Arthur also provides firewall capabilities for large language models, detecting hallucinations and toxic outputs. Customers include major financial institutions and enterprises deploying AI at scale. Arthur has partnered with AWS and other cloud providers to integrate its monitoring tools into enterprise ML workflows.
Products
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Arthur AI Platform
— Full lifecycle platform for discovering, governing, and scaling reliable AI agents and models.
Customer sectors: enterprise AI teams, devops engineers, data scientists
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Agent Discovery & Governance
— Discover AI agents, enforce policies, and maintain comprehensive oversight for safe AI operations.
Customer sectors: compliance officers, AI governance teams, risk managers
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Agent Development Toolkit
— Toolset for optimizing AI development with real-time monitoring and custom dashboards.
Customer sectors: AI developers, ML engineers, software engineers
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Agentic Observability and Evaluation
— Continuous monitoring and evaluation of AI agent performance across use cases.
Customer sectors: ML ops teams, AI performance analysts, enterprise AI teams
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Arthur Evals Engine
— Engine for continuous evaluation of AI models to ensure high reliability and performance.
Customer sectors: data scientists, ML engineers, AI quality assurance
Market research & competitive positioning
Source-backed TAM / SAM / SOM sizing, displacement analysis, and an interactive peer positioning map for Arthur AI — available to members.
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