Making infrastructure
understand itself

We started Raincurve because infrastructure fails across layers, while the tools built to watch it stop at one. A fault in a switch shows up as a slow model, a noisy alarm and a ticket in three different queues. Connecting those signals is still done by hand, in the middle of an incident.

Raincurve is the reasoning layer that does that work. It maps dependencies across networks, compute, cloud and AI inference, groups alarm floods into incidents with a named origin, predicts the blast radius and checks a fix before it runs. Our reasoning architecture, Curve-1, runs in production today, including at COSMED, where it contributed to a 50% reduction in mean time to resolution.

Raincurve was founded by Mohan Murari and Raghav Balasubramaniam and is based in the San Francisco Bay Area. Our work draws on research in formal methods, causal modeling and reinforcement learning, and our team has worked at MIT, Harvard, Princeton, McKesson and Georgia Tech. We're also hiring.