Applied intelligence.
Run on your terms, off the cloud.
Buy the same intelligence our own operations run on: systems that watch your services and act before you'd notice, read your documents and draft answers with receipts, count and inspect the physical world. On hardware we own, in your country, on your data. When the fix isn't obvious, it doesn't decide. It escalates, and a person owns the outcome.
It runs everything here. Put it to work for you.
Every service below is a thing you can have running for your business, built the way we built it for our own divisions — then operated by us, with the same rules, on your materials.
Alerting that acts first
Every service, every threshold, every quiet number — watched continuously. When one obvious fix exists (a service restart, a memory tune, an interface reset), it tries it. Two tries, then a page-out with full context to a named engineer. The night shift stays quiet by design.
Answers with receipts
Proposals, vendor answers, cost models — drafted in minutes against the client's own documents, every claim citing the exact paragraph a partner can go verify.
The model in the machine
Inside the products we build: vision on the bench, language on the console. Not a cloud call — compute on the device or on-site, so it keeps working when the internet doesn't.
Reading the physical world
Counting, inspecting, measuring the real world with the same discipline: confident when the signal is clean, honest when it isn't — never guessing at a human's expense.
Premium by scarcity, included by default
Most of what you just read arrives inside Managed — it comes with the watch, never with a bill. It becomes its own engagement when the problem is intelligence-first: a document operation to run, a compliance wall to build the AI behind, a physical task to inspect. The price is premium for one honest reason: the room is small, and its capacity is promised to your services first. We don't sell compute by the hour. We say who gets in.
Where it runs when it runs for you — nothing leaves the room
The same room your services would run in is ours to rack and watch, and your data is a guest that never checks out. Three things that make it true:
Compute we own
Six thousand tera-operations per second of inference, sitting in our own infrastructure. Models run on it; your data never has to leave it.
Memory bandwidth
Over two terabytes per second keeps long contexts, live video, and large models moving without a cloud round-trip. Stored locally, processed locally.
Zero third-party inference
No prompts to other people's servers. No training on your data — there is no data pipeline. The compliance argument is simply: it isn't possible.
Escalation is the design
The system acts on the small, obvious half. Anything ambiguous or unresolved goes to a named engineer with full access and full authority, and the responsibility stays with a person.
Nothing had to leave the room
If our systems are already holding your watch: your data did what our whole page promises. It never left the country, never touched anyone else's server. The compliance answer you were looking for isn't a policy document — it's a room you could walk into. And when a fix gets ambiguous, you already know who owns it.