Raindrop

Raindrop builds a monitoring and observability platform designed specifically for AI agents, giving AI engineers visibility into their agents' behaviour in production. The platform traces agent activity and is built around the problem of AI products failing silently - a challenge the founding team encountered firsthand. Its stated aim is to help engineers detect issues before users do.

The product centres on automatic issue detection: the system identifies when agents misbehave, alerts teams, and links directly to the relevant events so engineers can dig into conversations and traces. Alongside this, Raindrop offers semantic search across millions of events for investigating agent behaviour, A/B testing of prompts and models, and alerting tied to events, conversations and traces.

The company operates in the developer-tools and AI/ML tooling space, serving software and AI product companies building agents and LLM applications. Teams at Replit, Framer, Speak and Clay are among its users. Raindrop is a small team, with an emphasis on developer empathy and production visibility for AI engineers.

Technical work at Raindrop spans AI agent monitoring, AI/LLM observability, production tracing, semantic search, automatic issue detection, A/B testing for prompts and models, and alerting and event analysis. Further details are available at https://www.raindrop.ai/.