KriyAI is building the infrastructure layer for reliable AI execution — helping teams move from impressive demos to systems that hold up in the real world.
Our Mission
The infrastructure layer for reliable AI execution. Built for teams moving from promising prototypes to systems that need to perform under real operating conditions. 801 sessions deep and counting. Real usage. Real outcomes.
The Problem
We do — because we measure what happens in production. Across 801 sessions, the same operational bottlenecks show up again and again. The number that matters most is the one that tells you whether a system is actually getting more reliable.
Recurrence rate on a high-frequency workflow path — the same operational bottleneck, surfacing under new labels.
One operational pattern. Hundreds of sessions. Still present. Without the right infrastructure, systems repeat the same weaknesses while appearing to progress.
The patterns are structural, not random. Once surfaced, they can be prioritized and addressed — with measurable deltas in reliability and cost.
The problem isn't model capability — it's operational reliability. Without production-grade execution infrastructure, deployments drift, teams lose visibility, and outcomes degrade faster than the demos suggest.
We built from the full distribution, not cherry-picked wins.
The gap between a multi-agent system that runs and one that reliably produces outcomes is measurable, wide, and underserved. We're building the infrastructure layer to close it.
What We've Built
622 traces. 6,101 spans. A multi-agent fleet running in production. Full execution visibility across sessions, failures, and latency — at the resolution operators actually need.
Systems designed to improve reliability over time, with visibility into outcomes that matter.
Compounding context across sessions. Execution state that persists. Outcomes that improve with every run.