All services
service
running today

The AI Operator.

One AI employee you talk to, that stands up and runs every other agent in your business.

the problem

What this is actually for

The pitch everywhere is "deploy your first agent in fifteen minutes." The problem was never the first agent. It's the fortieth — and who runs them, who notices when one breaks, and who retires the one nobody needed.

proof

What we built for ourselves

The operator is Viktor. We didn't write it — we run it, harder than almost anyone, and we're the people who install it into a business that has trucks in it.

We don't deploy agents. We ask for one. In plain language: stand this up, on this hardware, with access to these systems, reporting here. It exists in the time it takes to describe it — because describing it is the deployment step.

One operator holds the whole estate: what each agent does, what it's allowed to touch, what it costs to run, and what happened the last time it ran.

Work that proves itself gets pushed down. A task starts on frontier reasoning where it's still being figured out, and once the shape is known it gets handed to our own agent on our own hardware — same job, a fraction of the cost.

It runs our real business, not a demo: dispatch, payroll checks, receipts, fleet, customer messaging.

the deliverable

What you get

  • One named operator wired into your systems, that you instruct in plain language instead of configuring
  • Agents stood up on request — described, not built — with the cheap ones landing on hardware you own
  • A live register of everything running: purpose, permissions, cost, failure history, owner
  • Promotion and demotion between local, cloud and frontier compute as a workload's cost and difficulty change
  • Retirement of the agents that stopped earning their place, which is the part nobody does

Hear how it got built

We recorded the build of each of these, including the parts that didn't work.

  • Episode 2 — The Roundtablerecording
  • Episode 3 — SSH Into The Sparkrecording

Episodes publish as they're cut. Nothing here is a teaser for something that doesn't exist — the systems are already running.

the platform

Built on Viktor

The operator itself is Viktor. We're not the vendor and we don't resell it — we're the implementation layer: the people who wire it into a business with trucks, crews and payroll, and who have run it on our own operation every day before recommending it to anyone.

How we run it
the honest limit

What this doesn't do

Instant to stand up is not instant to be right. A useful agent still takes a few rounds of correction, and those rounds need somebody in your business who can say clearly what "right" looks like. If nobody there has the time or the authority to make that call, the operator will faithfully scale the wrong thing. It also does not remove the human gate: anything that reaches a customer, an employee or a bank account still waits for a person.

under the hood

What it runs on

Built on NVIDIA hardware and software we own and operate, not a reseller relationship.

DGX SparkNeMoJetsonPythonOllamaSlack APIfrontier models via OpenRouter

Where it's going next: Deployed with us today. Packaging it as a standalone install for other operators is the current build.

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A member of the NVIDIA Inception program

Fifteen minutes, no deck.

Bring one specific problem in one sentence. We'll tell you whether it's worth building, roughly what it takes, and sometimes that the answer is don't build it.

Start here

Two steps before we talk — it takes about five minutes.

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