Raindrop raises undisclosed Series A for AI agent reliability
CRV led the round as Raindrop expands monitoring and testing tools for agents running in production.
Catching failures that look like successful runs
Raindrop monitors production agent trajectories for semantic anomalies and silent failures, including hallucinated answers, tool misuse and behavior changes after model updates. Its investigator tools help teams trace an issue to affected users and workflows, while Simulations tests proposed agent changes against production traffic before release.
The company says the Series A brings its total funding to $50 million. It plans to expand detection research and enterprise adoption; the amount of this round was not disclosed.
Use of funds
Accelerate detection research
Scale product adoption among enterprises
Advance Simulations, which tests agent changes against production traffic before deployment