Small by design
Specialist models trained for one job, not one general model prompted for everything.
Specialist agents for operations
Intelligence
that never
leaves.
We are building specialist AI agents that run where your systems run, act only within the limits you set, and make your operations more reliable every time they work.
Thesis
The best agent for your infrastructure is not the biggest model. It is the one trained for the job.
Today, putting AI into operations means sending your alerts, logs and commands somewhere you cannot see, to systems you do not control. For teams running critical infrastructure, that is not a trade worth making.
Better prompts will not fix operations. Better training will. Small models, specialized for one domain and measured against the real thing, can do the work where it happens.
What we are building on
Five principles. None of them negotiable.
Private
Telemetry, logs and command output stay inside your environment. Nothing to send out.
Sovereign
Runs on your infrastructure, under your control, with no outside service in the loop.
Governed
Every action sits inside an envelope you define: read, diagnose, reversible change. Anything beyond goes to a person.
Efficient
Small enough to run where you already run. Control should not cost more than giving it away.
Beyond incidents
Agents that leave your systems better than they found them.
Resolving an incident is half the job. The other half is learning from it. Our agents are built to close that loop, so reliability compounds instead of resetting with every page.
- 01Detect. Watch the signals your team already trusts.
- 02Diagnose. Name the real cause, not the loudest symptom.
- 03Resolve. Act within the envelope, escalate beyond it.
- 04Improve. Fix the alert that stayed silent, quiet the one that cried wolf, and propose the rest.
Where we start
SRE first. Not SRE only.
- Site reliabilityFirst
- ObservabilityAlongside
- Platform operationsNext
- Security operationsLater
- Every domain where data cannot leaveThe horizon
Something big is being built quietly.
We will open to a small number of engineering teams first. If your systems are too important to send outside, we would like to hear from you.