AI agents fail in ways traditional software doesn't. Our agents help you find all the ways in which your AI agents fail by adversarially testing them in a dedicated environment. Point it at any AI agent, or multi-agent system, and it launches 1,000+ strategies that adapt to your system in real time - pure blackbox, no integration needed. Built by ex-Meta engineers.

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Fabraix is a product that adversarially tests AI agents and multi-agent systems to surface functional failures and security exploits before they reach production. Built by ex-Meta and Monzo engineers, it operates as a pure blackbox with no integration required — pointing it at any agent launches 1,000+ adaptive strategies simulating real-world failure modes including hallucinations, wrong tool calls, and broken handoffs. The goal is to give teams the confidence to deploy more autonomous, multi-step agents without silently breaking things in production.

Find gaps in your AI agents before users do - Fabraix