Use AI on the data you cannot send to someone else's cloud.
For firms with client files, patient records, deal data or trade secrets, we deploy open-weight language models on hardware you own or a private cloud you control, and tune them to your work. The model, the prompts and every record stay inside your walls.
What it costs to leave it as it is.
Data you cannot share
Client files, health information, financials and contracts are the best use of AI and the material you are least able to paste into a public tool.
Staff using it anyway
If there is no approved option, people paste into whatever is free. You find out when something leaks.
Per-seat bills that never stop
Hosted AI is priced by the seat or the token. A model you run yourself costs the hardware, not the headcount.
Four steps, run by an operator who has done it before.
With an engineering bench building in the background. Scope and timeline are written into your agreement before we start.
Scope the workload
What the model needs to do, how much volume, how fast, and what it must never see or say.
Choose and size
The right open-weight model and hardware, on premises or in your own private cloud, tested against your real tasks.
Tune and connect
Prompts, retrieval over your documents and, where it pays off, fine-tuning on your own examples, wired into the tools your team uses.
Secure and hand over
Access control, logging, an update plan and documentation, so it keeps working when we step back.
The disciplines behind this build.
From the three phases every engagement runs. Tap a card for the diagram; each is explained in full in the playbook.