Raindrop launches Simulations to catch agent failures before production
Raindrop launched Simulations, which moves agent failure detection from production into development; customers include Vercel, Clay and Framer.
Raindrop (@raindrop_ai) is building the safety layer for AI agents. As agents get more capable and take on more complex work, Raindrop detects when they go wrong in production, from failed tool calls and hallucinations to problems companies didn’t even know to look for. Now they’re launching Raindrop Simulations, which brings that same approach earlier in the development process to catch failures before agents reach production. Already used by companies including Vercel, Clay, Framer, and Speak, Raindrop just raised a Series A bringing its total funding to $50 million. In this episode of Founder Firesides, founders @snarkyzk, @benhylak, and @alexisgauba sat down with @sdianahu to share how a tool they originally built to debug their own coding agent became the company, and why better AI agents actually create more ways for things to go wrong. 00:05 — What Raindrop Does 01:32 — Why Better AI Agents Create More Problems 03:25 — Finding the Failures Evals Miss 04:38 — How Raindrop Got Started 06:32 — Why They Kept Going 07:58 — Catching Agent Failures Before Production