AI Model Monitoring, Observability, and Evaluation Platform

Arthur is a pioneer in the machine learning/artificial intelligence security space. Founded in 2018 in New York by a team including Adam Wenchel, Priscilla Alexander, John Dickerson and Liz O’Sullivan, Arthur has raised more than $60 million to date. In September 2022 Arthur secured its biggest round yet, a $42 million Series B co-led by Acrew Capital and Greycroft Ventures.

By 2023-2025 the company repositioned its product as not only monitoring ML models but also handling newer challenges such as generative AI, agentic systems, and model governance for enterprise use cases.

Arthur specializes in AI model monitoring, security, and lifecycle management solutions designed to ensure reliability, scalability, and compliance across enterprise deployments. The company provides real-time alerting for performance anomalies, concept drift, and unexpected outputs, along with centralized dashboards offering unified visibility across multiple models and projects. Arthur enables rapid onboarding of new models with tailored monitoring frameworks aligned to organizational workflows and data formats.

The company offers a federated architecture preserving data locality, allowing enterprises to maintain strict control over sensitive information while deploying monitoring tools. Arthur includes built-in guardrails to prevent misuse, off-brand interactions, and adversarial prompts targeting generative AI systems, and supports hybrid deployment modes including SaaS, on-premises, and cloud platforms.