Arthur vs ModelOp

Arthur is an AI performance and safety platform founded in 2018 and headquartered in New York City. The platform provides monitoring, explainability, and bias detection for production ML, plus Arthur Shield for LLM firewall and red-teaming. Arthur raised a $42M Series B in September 2022 led by Acrew Capital and Greycroft, bringing total funding to approximately $56M.

ModelOp provides a centralized platform for managing the full AI lifecycle, from intake to retirement, for ML, GenAI, Agentic AI, and vendor models. It offers a single system of record for AI inventory, automates policy enforcement and workflows, enables continuous monitoring for risks like bias and drift, and generates audit-ready reports. Targeted at complex regulated enterprises, it integrates with existing systems to accelerate AI deployment while ensuring compliance and control across teams. Distinct from MLOps tools or GRC systems, ModelOp orchestrates governance end-to-end, supporting internal and third-party AI at scale.