Proof of concept

Answer the hard questions in two weeks.

A short engagement that tells you what model and hardware you actually need, before you commit to on-prem AI.

Why it exists

Which model? What hardware? Will it hold up under load? These questions are hard to answer on your own, so we built a short engagement to answer them with real data.

What it answers

Which model fits your use case, what hardware it needs, and how it performs under your real load. With numbers, not opinions.

What's included

Model curation

We narrow the field to the models that actually fit your use case.

A working environment

A real setup you can try, not a slide deck.

Benchmarks on your use case

Actual performance numbers for your workload, on hardware that matches.

How the two weeks run

Week 1

We curate the models that fit your use case

We stand up a real working environment

You get hands-on access to test-drive the models

Week 2

We benchmark it on your actual workload

We size the hardware to your workload

You get the numbers and a clear recommendation

The point

Better to know now than after buying hardware. Two weeks and real data beat a guess you're stuck with.

Common questions

What do we get at the end?

A recommended model, the hardware to run it, and benchmark numbers for your workload. Enough to make the call with confidence.

Is two weeks really enough?

For the model and hardware questions, yes. It's scoped to answer those, not to build the full system.

What does it cost?

It's a fixed, scoped engagement. We'll quote it once we understand your use case.

What happens after the two weeks?

The findings are yours to keep, with or without us. If you decide to move ahead, the proof of concept rolls straight into a deployment. We already know the model, the hardware, and how it performs, so there's no starting over.

Find out what you actually need.

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