Raindrop’s $15 million seed round led by Lightspeed Venture Partners tackles a fundamental problem plaguing AI agent deployments: enterprises have no reliable way to detect when their production AI agents fail silently, creating business-critical blind spots in systems increasingly trusted with high-stakes decisions.

The monitoring infrastructure gap has become acute as AI agents evolve from simple chatbots to autonomous systems that “reason longer, use more tools, and connect to MCP servers,” running autonomously for hours across critical sectors like healthcare and financial services. Traditional monitoring tools offer only basic metrics like latency and token usage, leaving engineering teams unable to discover or track the complex behavioral failures that matter most.