Raindrop is an applied-AI research company building observability infrastructure for AI agents — a category it frames as 'Sentry for AI agents.' As teams ship more agentic and AI-powered features, a new failure mode has emerged: agents that break silently in production, producing wrong answers or degraded behavior without throwing a traditional error. Raindrop exists to catch exactly those failures.
The platform gives AI engineering teams the ability to discover, track, and fix issues with their agents in production. Rather than waiting for user complaints, Raindrop monitors agent behavior at scale and surfaces anomalies, regressions, and critical problems as they happen. This is increasingly essential developer tooling: as AI moves from demos into production systems, the lack of observability has been one of the biggest blockers to trusting agents with real work.
The scale Raindrop operates at underscores the need. The company works with frontier AI customers that process millions of events each day, helping them quickly discover, monitor, and resolve issues that would otherwise go unnoticed. By treating agent reliability as a first-class engineering concern, Raindrop brings the discipline of traditional application monitoring to the new world of non-deterministic AI systems.
The founding team blends deep technical and product experience. Raindrop was founded by Ben Hylak, Zubin Koticha, and Alexis Gauba. Koticha and Gauba are second-time founders whose previous company was acquired by Coinbase, while Hylak spent time as an engineer at Apple, including on the Human Interface Design team — a background that informs Raindrop's emphasis on making agent failures legible to the humans responsible for them.
Raindrop announced a $15 million seed round led by Lightspeed Venture Partners, with participation from Figma Ventures, Vercel Ventures, Y Combinator, and an unusually strong roster of operator-angels including the founders of Replit, Cognition, Framer, Speak, and Notion. The funding supports Raindrop's mission to make AI agent monitoring standard infrastructure for every AI engineering team.