agent-governance
(2)
Arthur
Arthur is a New York-based AI governance and observability company that gives enterprises a single control plane to discover, monitor, evaluate, and govern the AI models and autonomous agents running across their organization. Founded in 2018 by a team out of Capital One and academia, Arthur started with machine-learning monitoring - catching model drift, bias, and performance decay in production - and has since expanded into real-time guardrails, LLM evaluation, and agentic AI governance. Its open-source Arthur Engine and its Agent Discovery & Governance platform help security, compliance, and ML teams ship AI they can trust in regulated industries like finance, insurance, healthcare, and government.
Catena Labs
Catena Labs is a Boston-based fintech building what it calls the first AI-native financial institution - a regulated bank and governance platform designed for AI agents that autonomously send and receive money. Founded in 2025 by Circle co-founder and USDC co-creator Sean Neville, Catena pairs agent identity, deterministic spending policies, and audit trails with account management and stablecoin, card, ACH and wire payment rails. It also open-sourced the Agent Commerce Kit (ACK), a set of protocols for agent identity and payments built on W3C web standards.