On-prem AI
AI prices are falling. So why are AI bills going up?
OpenAI and Anthropic just cut model prices, yet business AI spending keeps climbing. How agents multiply usage, and five ways to keep AI costs predictable.
Private AI that runs on your own hardware
We size, install, and support AI that runs on servers in your building. Your team gets a capable assistant and custom tools, your files never leave your network, and heavy use doesn’t run up a bill.
What you get
Hardware sized to your team
A server or workstation that fits how many people will use it and for what, without paying for capacity you won’t use.
Open models, set up for your work
We choose and configure capable open-weight models for your tasks, from drafting and chat to document search and data extraction.
A private assistant for your team
Staff use AI in a familiar chat interface, ask questions about your own documents, and get answers that cite the source.
Your agents and automations, on site
The agents and automations we build can run on the same hardware, so the whole workflow stays inside your network.
Access control and logs
Accounts and permissions for each team, activity logs, and settings that match your security and compliance needs.
Support and upgrades
We keep the system healthy and help you move to better models as they’re released, on your schedule.
How it works
- 01
Assess
We learn how your team would use AI, how many people need it, and which data it has to stay close to.
- 02
Size and quote
You get a hardware recommendation and a clear quote, with the trade-offs explained in plain language.
- 03
Install and connect
We install the hardware, set up the models and tools, and connect them to your documents and systems.
- 04
Train and support
We show your team how to use it well, then keep it running with monitoring, updates, and help when you need it.
A good fit if…
- You handle sensitive records, like patient, client, or financial data
- Your team would use AI heavily every day
- You need AI to keep working when the internet doesn’t
- You want predictable costs instead of a monthly meter
Total cost over time
- Cloud AI, billed per token
- On-prem with Wiregrass
CostTimeHardware up frontBreak-even
Illustrative only. Where you break even depends on your hardware and how much your team uses AI.
Questions we hear
Are open models good enough for real business work?
For many everyday tasks, yes: drafting, summarizing, answering questions about your documents, and pulling data from forms. Open-weight models have improved quickly. We test candidates on your real tasks before you buy anything, and we’ll tell you plainly if a job needs a larger cloud model.
What does the hardware cost?
It depends on how many people will use it and for what. A small office may need one well-equipped workstation, while heavier use calls for a dedicated server with more GPU memory. We size it to your needs and show you how it compares with what you’d spend on cloud AI.
Can we still use cloud AI when we want to?
Yes. Many businesses keep sensitive work on site and use a cloud model for the occasional task that needs one. We help you set clear rules for what may leave the building.
Who maintains it?
We do, as part of ongoing support: monitoring, updates, and model upgrades when better ones come out. Your team just uses it.
From the blog
On-prem AI
Private AI now fits on one desktop. Here’s what it costs in 2026
Open models from Meta and Alibaba now run on one GPU or Mac, but a memory shortage has raised hardware prices. What that means for a small business.
Get started
Let’s see if it’s a fit
Tell us what you’re working on, and we’ll give you a straight answer on whether this makes sense for your business and what it would take.