Raindrop hits $50m in funding to catch AI agents failing in production
“Agents now run for hours, call thousands of tools, and handle real money, real health data, and real customers,” said Zubin Koticha, chief executive of Raindrop. “When an agent fails, it does the wrong thing convincingly at scale until someone happens to notice.”
Raindrop has raised a Series A led by CRV. That takes total funding to $50m, the San Francisco company said on 17 September. It did not say how large the round itself is.
The company monitors AI agents once they are live. It reads production traces and flags what it calls semantic anomalies. Those are the hallucinated answers, tool misuse and behaviour changes that arrive with a model upgrade. Engineering teams see what changed, when it started and which users it hit.
Testing the change before it ships
Alongside the funding, Raindrop launched a product called Simulations, in research preview. It replays real production traffic...
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