The data shouldn't have to travel
If a model can run beside the files it reads, that's the safest version of the system — POPIA compliance by physics rather than by policy document.
We build AI that runs on hardware you own, in the building where your data already lives — then we stay long enough to make sure people actually use it. Two offices, one way of working: small scope, senior people, evidence before invoices.
If a model can run beside the files it reads, that's the safest version of the system — POPIA compliance by physics rather than by policy document.
Before anyone buys hardware, we run your task on our machines under NDA and show you the result. If it doesn't hold up, you've lost a meeting, not a budget.
Models are commodity now. The work that changes anything is the plumbing into email, documents and operations — and the training that makes people trust it.
Tightly scoped projects run by people who have built the thing before. No army of juniors learning on your budget.
One painful process, in plain terms. We say what the smallest setup that solves it looks like — or that it isn't an AI problem.
Your task, your data under NDA, our hardware. A measurable result you can take to whoever signs.
Hardware sized and installed, models selected and tuned, the software built around them in a few short stages.
Documentation your IT team can use, training for the people who'll live with it, and a retainer only if you want one.
What we won't do
Most AI projects fail quietly: the hardware arrives, the pilot impresses, and nothing changes in the work. We would rather lose the deal in the first meeting than be the reason for one of those.