Halluminate raises $30M to train AI agents for Wall Street work

A startup with fewer employees than a pickup basketball game just closed a $30 million Series A. Halluminate, a nine-person company based in San Francisco, builds training grounds where AI models practice financial work before they ever touch the real thing. The round was led by Oak HC/FT and lifts the company’s total funding to $38.5 million. For a business founded in 2024, that is a fast climb. The customer list may matter even more: four leading US AI labs, plus the two largest companies building browser-based AI agents. What Halluminate actually sells Halluminate creates reinforcement-learning environments for computer-use and browser-based agents. These are AI systems that click, type and navigate software much as a human analyst would. The sandboxes are realistic and resettable. An agent can make a mess, and the environment snaps back to its starting state for the next attempt. Crucially, none of this disturbs actual production systems. The company’s offering breaks into three pieces: Managed sandbox environments where agents train safely Proprietary benchmarks that measure how well models perform financial tasks Expert evaluation services that judge agent output Halluminate ...