Built for Agentic Speed
We are a team of distributed systems engineers and AI researchers who have built and operated large-scale systems—and grew tired of debugging agent swarms with tools built for microservices.
Our Mission
Agentic AI systems are not just “more microservices.” They are non-deterministic, highly interdependent, and extremely chatty. Conventional APMs model services and requests—and treat agent behavior as a black box.
iocane-ATI helps teams diagnose agent coordination failures by reconstructing agent-level dependencies, contention, and timing from production traces.
This work lays the foundation for a deeper control and policy layer for agent traffic—but today, our focus is making failures explainable.
Our Vision
As agents become the primary consumers of APIs, tools, and compute, the infrastructure beneath them must evolve. We believe the next generation of systems will require deeper visibility into intent, coordination, and resource contention.
iocane is the first step: making agent interactions observable and explainable, so teams can eventually reason about policy, prioritization, and control.
Join us on this journey →