The Fastest Growing AI Companies use us. Here’s how we built our company. | Zubin Koticha, Raindrop

Raindrop provides production monitoring for AI agents, addressing the critical need for observability in complex, long-running AI systems. Unlike traditional software, AI agents possess infinite input and output spaces, making standard error tracking insufficient. Raindrop utilizes custom-trained models to capture semantic and manual signals, enabling engineers to detect failure modes such as infinite loops, context loss, and incorrect language responses in real-time. As AI agents move from experimental tools to core enterprise infrastructure—exemplified by high-stakes legal and customer service deployments—the transition from pre-deployment evaluation to continuous production monitoring becomes essential. By focusing exclusively on this narrow observability problem, the company aims to redefine how engineering teams maintain reliability, ensuring agents represent their organizations accurately while operating at scale.