Assessment, architecture, build, and the long maintenance tail. You can hire us for one of them, but the reason clients keep us is that nobody has to own the seams between them.
The core of the practice: a working AI system that lives entirely inside your network.
Search, summarize, extract and compare across archives that can't be indexed by anyone outside the building.
Domain-tuned models that draft against your own precedent, templates and house style.
Classify, route and pre-fill what arrives — email, forms, scans — before a person ever touches it.
One place staff can ask questions of everything the organization already knows, with citations.
Often the first engagement, and sometimes the only one you need.
Before anything is automated we establish what you hold, where it came from, what governs it, and which of it is allowed anywhere near a model. The output is a written map of your data and a plain recommendation — including, regularly, that a particular workflow shouldn't be automated at all.
Open models, chosen for your hardware and your domain — not for a vendor's margin.
We benchmark candidate open models against your real tasks on the hardware you actually have, then tune the one that wins. You keep the weights, the evaluation set, and the ability to switch — nothing about the system is ours to withhold.
The part that decides whether any of the rest still works in three years.
Models drift, regulations move, staff turn over, and the person who understood the pipeline leaves. We hold versioning, scheduled evaluation, model updates and the compliance evidence trail, and we write it all down in a form your auditors and your own IT team can read without us in the room.
That's what the free consultation is for. Most conversations start with a data audit, and a fair number end there with a short document and no invoice.