Solution 04 · AI that works without your data leaving the building.
For organisations that cannot send customer records to a third-party API, because of regulation, a contract clause or a board that will not sign it off. We build AI that runs on hardware you control, with no outside dependency when it runs.
How it works
How a private AI deployment works.
Signs
If two or more of these are true, this is probably where the problem lives.
Approach
Much AI work is a hosted API behind a form, and for many uses that is exactly right. It stops being right when the data is something you are not allowed to send anywhere: patient records, client files, transaction histories, anything under a confidentiality clause.
The usual answer is to drop the project. The better answer is that open-weight models are now good enough to do useful work on hardware you own, and for many tasks the gap to a frontier API is smaller than the compliance risk.
We size the hardware against your real workload, choose and fine-tune a model on your data, and build the evaluation that shows it is good enough before it goes near production. Nothing leaves your network when it runs.
We know this works because we run it. Our founder's own AI, Sahr, lives entirely on hardware we own: her identity and memory on an always-on 8 GB node, her chat model served from a capacity node we also own, and every new behaviour gated on evaluation before it is switched on.
Deliverables
No percentages here. What a change is worth depends on your volumes and your costs, and we would rather work that out with you against your own numbers.
Also
A free 30-minute audit: we map one process with you and tell you whether it is worth doing, including when it is not.