At GlassFlow, we build the infrastructure AI agents need to run reliably in production. Teams moving agents from demo to real workloads hit the same wall: agents are only as good as the data feeding them, and nearly impossible to debug once they're live.

We build two products to fix that. Tares feeds agents correlated, real-time data, so they act on a coherent view of the world, not stale, fragmented context. Rius is the observability layer that shows exactly what your agents do in production: where they succeed, where they fail, and why.

We're engineers who've built and run systems at scale at Google, Uber, SumUp, Avira and Mister Spex. We know how hard reliability is, and how much leverage the right infrastructure gives you.