AI that runs inside your building.

We build, install, and maintain on-premise server racks that run AI models on your own hardware — so your data never leaves the site and your costs stop scaling with headcount.

Why put it on site

Most businesses send their information to someone else's servers to use AI. For a lot of work that's perfectly fine. For some of it, it's a problem you can't fix with a stricter policy.

Your data stays put. Client records, case files, contracts, and internal documents never leave your network.
The bill stops growing. Hardware is a one-time cost. Per-seat subscriptions are forever, and they rise.
It works without internet. An outage doesn't stop the systems your staff depend on.
Nobody changes the rules on you. No pricing changes, no deprecated models, no vendor deciding your use case is no longer allowed.

Where it genuinely fits

We'll tell you plainly when it doesn't. On-premise makes sense when at least one of these is true:

You handle confidential client, legal, financial, or health information
You're paying for enough AI seats that hardware pays for itself in under two years
You want automations running continuously rather than per request
You operate somewhere with unreliable connectivity
You have contractual or regulatory limits on where data can be processed

If none of those apply, a cloud service is probably the better answer and we'll say so on the first call.

Three builds

Sized by how many people use it and how much runs at once. Every build is specified after we see your workload — these are starting points, not a menu.

Desk-side unit

Small teams, one department

Single workstation-class machine
Runs mid-size open models for chat, drafting, and document work
Sits in an office or closet, standard power
Suits roughly 5–15 regular users

Half rack

Whole-company use, multiple automations

Multi-GPU server plus storage and networking
Runs larger models and several automations at once
Rack-mounted, needs a ventilated space
Suits roughly 15–60 regular users

Full rack

Larger organizations, sensitive workloads

Multiple GPU nodes, redundant power, network storage
Runs large models with capacity to spare
Server room, dedicated cooling and circuits
Suits 60+ users or continuous heavy processing

What it actually runs

A rack on its own is just hardware. What makes it worth buying is what we put on it.

A private assistant for staffThe same kind of chat interface people already know, running on your hardware, with your documents available to it.
Search across your own filesAsk a question and get an answer drawn from your contracts, manuals, and records — with the source shown.
Document processing at volumeIntake, extraction, and filing that runs continuously without a per-page charge.
Internal automation agentsScheduled jobs that pull data, prepare reports, and flag exceptions overnight.
Transcription and call reviewMeetings and calls processed on site, which matters when the recordings are confidential.
Whatever we automate nextOnce the hardware is there, each new automation costs build time instead of another subscription.

How an install goes

Four to eight weeks from assessment to a system your staff are using.

Assessment and sizing

We look at what you want it to do, how many people will use it, and what your building can support — power, cooling, network, and physical space. You get a specification and a fixed quote before anything is ordered.

Build and configure

Hardware is assembled and burned in before it arrives, models are installed and tested, and access controls are set up. Most of this happens off site so your disruption is minimal.

Install and train

We install on site, connect it to your network, and train your people on it — plus whoever will own it internally. Then we stay on to keep it running, patched, and improving.

Honest limitations

On-premise AI is not strictly better than cloud AI, and anyone who tells you otherwise is selling hardware.

Open models you run yourself are capable, but the very largest commercial models are still ahead on the hardest tasks
Hardware is a capital purchase with a real useful life — plan on refreshing it
Somebody has to maintain it, which is either your IT staff or us on a retainer
If your only goal is helping staff write emails faster, buy the subscription instead

We'd rather tell you this before you buy than after. Plenty of clients end up running both: cloud for general work, local for the material that can't leave the building.

Find out what your build would look like.

Tell us what you'd want it doing and roughly how many people would use it. We'll come back with a specification, a price, and an honest answer about whether it's worth it.

Ask about local AI

Name and email is all we need to start.