We brought observability to AI.
AI writes the code now, and it ships faster than any team can watch it. We rebuilt the layer underneath so the systems running production can finally see themselves. Deep, safe, and dynamic at the same time, for the first time.
The observability layer for software that writes itself.
The tools meant to catch production were built for code people typed by hand. We rebuilt the layer underneath for the way software ships now.
The problem changed.
AI writes the code now, and it ships to production faster than any team can watch it. The tools meant to catch it were built twenty years ago, for software people typed by hand.
We rebuilt the layer underneath.
Out-of-process eBPF that sees inside any running service, captures any signal on demand, and physically cannot take production down. Deep, safe, and dynamic at the same time, for the first time.
Every AI in production will need it.
We built it first, and it already runs inside some of the most demanding production environments on earth.
Deep, safe, and dynamic at the same time.
Three things were always a trade-off in observability. Out-of-process eBPF lets us deliver all three at once.
Deep by default
Out-of-process eBPF reaches inside any running service to read the signals other agents never see, no SDK and no code changes required.
Safe by design
Running out of process means an issue in observability physically cannot take production down. Depth without the blast radius.
Dynamic on demand
Turn any signal on or off at runtime. Capture exactly what a question needs, when it is asked, without a redeploy.
Built for AI-era scale
The same platform runs inside some of the most demanding production environments on earth, ready for the AI that runs them next.
Backed by infrastructure investors.
The funds that backed the last generation of infrastructure companies are backing the one that replaces them.
See your production the way an AI would.
Root cause in seconds, not days. No redeploy, no war room. Start a 14-day trial or get a walkthrough with the team that built it.