Raindrop

Positioning itself as "Sentry for AI agents," Raindrop addresses the problem that traditional testing methods cannot handle the complexity of modern AI agents, which can reason longer and run autonomously for hours. The platform is designed to detect silent AI agent failures in production, such as giving incorrect information, forgetting context, or deviating from its intended persona, which are often invisible to traditional monitoring tools. It provides engineering teams with alerts when an AI misbehaves, allowing them to investigate the root cause through conversation traces and tool calls. Raindrop uses small, custom AI models that adapt to each AI product, enabling the monitoring of previously invisible signals like "User Frustration" or custom-defined alerts such as "Agent Stuck in a Loop". Key features include a "Deep Search" function to find specific issues in production data using natural language, automated issue discovery, and an A/B testing platform called Raindrop Experiments to validate fixes.

The company's business model targets AI engineering teams and enterprise clients. In December 2025, Raindrop announced a $15 million seed funding round led by Lightspeed Venture Partners. The funding round included participation from Figma Ventures, Vercel Ventures, Y Combinator, and the founders of notable tech companies like Replit, Cognition, and Notion. This capital is intended to meet growing enterprise demand and establish the company as a primary monitoring solution for production AI agents.