Overview

Fulcrum builds tools to help developers test, audit, and improve AI agents trained with reinforcement learning. Its platform includes red-teaming agents that simulate adversarial scenarios in RL environments and an agentic debugger that surfaces the most critical data to human operators, enabling them to steer, correct, and monitor AI agents at scale. This setup uses scalable oversight interfaces and deployed auditing agents to examine entire agent ecosystems, not just individual models. Compared with typical AI testing tools, Fulcrum emphasizes end-to-end evaluation and monitoring of agent behavior and decision processes, aiming to make AI systems more reliable and transparent. The goal is to improve AI safety, reliability, and evaluation by providing practical, scalable means to audit and supervise AI agents in real time.

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