Raindrop is the monitoring and observability platform for AI agents. AI agents are reshaping how software works, but they fail silently. Traditional monitoring tools weren't built for non-deterministic, multi-step AI systems that use dozens of tools, run for hours, and hallucinate without warning. Raindrop gives engineering teams the visibility they need to understand how their AI agents actually behave in production. Detect silent failures before your users do. Raindrop automatically surfaces issues that evals and log searches miss hallucinations, tool breakdowns, capability gaps, and task failures, using semantic signals defined in plain English. No regex. No manual log review. Just describe the behavior you care about and Raindrop watches for it across every conversation. Deep Search across millions of events. Ask questions about your production AI data in natural language. Find the conversations where users got frustrated, where the agent looped on a broken tool, or where a specific model version started regressing even if no one filed a bug report. A/B test models, prompts, and configurations. Route traffic between variants and instantly measure the impact on real user outcomes. Unlike offline evals, Raindrop experiments show you ground-truth results from production, not performance on hand-picked test cases. Agent Self Diagnostics. Let your agents proactively report their own failures. With one line of SDK configuration, agents can flag missing context, broken tools, and capability gaps giving your team a direct line to what's going wrong. Built for the teams building the future. Raindrop is trusted by AI-native companies including Replit, Speak, Clay, Framer, AngelList, and more. Backed by $15M in seed funding led by Lightspeed, with participation from Figma Ventures, Vercel Ventures, and the founders of Replit, Cognition, Framer, Notion, and Y Combinator. An alternative to LangSmith, Braintrust, and Langfuse for teams who need production monitoring, not just evals and prompt management. Raindrop is purpose-built for the agent era.