An agent-native toolkit for AI observability data that goes far beyond traditional query languages, with semantic search, signals, timeseries, and more.
Self Diagnostics lets AI agents proactively report failures, loops, and capability gaps, giving teams visibility into problems that would otherwise go silently undetected.
Raindrop develops technology for monitoring AI agents and catching failures such as hallucinations and tool misuse. The company raised a $35 million Series A led by CRV.
Raindrop announces a Series A financing led by CRV to expand its monitoring and simulation for AI agents. The company says the effort is aimed at protecting the world from AI agent failures.
Raindrop raises a $15 million seed round led by Lightspeed Venture Partners in December 2025. The company builds a monitoring platform for AI agents. The round also includes other participating investors, though their names are not stated in the report.
