Raindrop
Raindrop builds a monitoring platform for AI agents, giving engineers visibility into production agent behavior, automatic issue detection and semantic search across millions of events.
Raindrop is a small company building a monitoring platform designed specifically for AI agents. It gives AI engineers visibility into how their agents behave in production and helps them detect problems before users encounter them. The company was founded by AI engineers who encountered firsthand the difficulty of debugging AI products that fail silently, without the stack traces or error messages that conventional software provides.
The platform, also called Raindrop, sends alerts when an AI agent misbehaves and links directly to the underlying events, allowing engineers to inspect individual conversations and traces. Its features include automatic issue detection, semantic search across millions of events, alerting and anomaly detection, and A/B testing of prompts and models. The technical work spans AI agent observability, LLM observability and semantic search.
Raindrop operates in the developer tools and AI development tools space. The company says teams at Replit, Framer, Speak and Clay use the platform. It describes itself as focused on AI product reliability and visibility, and on customer trust.
