Private AI workflow pilot

Test the workflow before you buy the hardware.

We spend half a day on-site with you. We run one of your real workflows on a local AI system. You find out how much this can improve your company's efficiency.

Pick oneReal workflow

Document search, drafting, code, or an internal app.

Run it locallyYour data or stand-ins

Sanitized samples, synthetic records, or a set your team signs off on.

Then decideGo or no-go

How good the output is, what running it takes, and how big a box you need.

The working session

Pick one workflow and hold it to a real standard.

The question is narrow on purpose: can a private system do this one job well enough to be worth it? Narrow questions get answered in days instead of quarters.

01

Agree on what good looks like.

Before the session we pick the workflow, decide who it's for, and write down what a passing answer looks like and what data can touch the machine.

02

Run it on local hardware.

We set up a local model and feed it your approved examples. Whoever knows the work best sits there and judges the output as it comes out.

03

Call it.

We write down what worked, what didn't, what running this would take, and whether buying a system is justified yet.

What you get

A clear answer on whether to buy.

One report, written so the person paying and the person who has to run it can both read it.

The workflow and the bar it has to clear

Who uses it, what goes in, what a good answer looks like, who checks it, and what it's worth if it works.

What it did well, and where it broke

The actual outputs, plus the failure modes we ran into. Every model runs out of road somewhere, and you should know where yours does before you buy it.

What a deployment would take

How much hardware, how much network and identity work, which software pieces, where the data boundary sits, and who owns the thing day to day.

A straight answer

If the workflow isn't ready, or if local hardware is the wrong tool for it, the report says that. Sometimes the honest answer is no.

A fixed quote for the next step

If it makes sense to deploy, you get a quote with real parts, real dates, and who is responsible for what.

Who this is for

Some teams shouldn't do this yet.

That's what the free call is for. We sort it out before you pay for anything.

Good pilot

  • You can name the one workflow you'd want this for.
  • Cloud AI is off the table, or too much of a fight to approve.
  • Someone who owns the work and someone who owns the network can both show up.
  • You can bring real examples, or help us build convincing fake ones.
  • You want a decision, and you'd rather hear no than be sold to.

Not yet

  • You want an AI strategy and haven't picked a first workflow.
  • You're expecting hardware alone to make you compliant.
  • You want to load sensitive data before anyone has agreed on access rules.
  • You need a finished production app out of half a day.
  • Nobody will own the workflow once the session ends.
The first step is free

Bring one workflow to the call.

Thirty minutes is enough to tell whether it's ready, what data we'd need, and who should be in the room. If it isn't a fit, you'll know before you spend anything.

Talk to the founder