Private AI · Wisconsin

On-Premise LLM Deployment (Open Models on Your Hardware)

Open models such as Llama, Qwen, Gemma, Mistral or gpt-oss, served from hardware you own behind company sign-in, with an OpenAI-compatible API so your tools can use them too.

Also searched as: on-premise LLM · self-hosted LLM for business · run Llama on our own server · deploy open source LLM · local LLM server setup

Starting at
$5,000 plus hardware
Typical timeline
2–4 weeks
Service area
Wisconsin & nationwide
Response
Within one business day

On-Premise LLM Deployment (Open Models on Your Hardware) for Wisconsin businesses

On-Premise LLM Deployment (Open Models on Your Hardware) from Wisconsin Tech Shop: Open models such as Llama, Qwen, Gemma, Mistral or gpt-oss, served from hardware you own behind company sign-in, with an OpenAI-compatible API so your tools can use them too. We work with businesses throughout Wisconsin, including Milwaukee, Madison, Green Bay, Appleton, Kenosha, Eau Claire, La Crosse, Wausau and the Northwoods. Pricing typically starts at $5,000 plus hardware, and most projects take 2–4 weeks.

What's included

  • Model selection and testing on your real tasks
  • Serving with vLLM, llama.cpp or Ollama, tuned to your hardware
  • A ChatGPT-style app for staff with company sign-in (SSO)
  • An OpenAI-compatible API for your software and automations
  • Usage logs, rate limits and a documented update process

Who it's for

Law firms, clinics, accountants, manufacturers, engineering firms, schools and any company with files that shouldn’t leave the building, plus owners who would rather own their AI than rent it forever.

How it works

  1. 1

    Free fit call

    What should the AI do, which data can it see and who will use it? We tell you honestly whether local, cloud or hybrid fits best, with rough costs for each.

  2. 2

    Sizing and pilot

    We size the hardware and models to your users and documents, then pilot on your real work so you see the quality before buying more.

  3. 3

    Build and lock down

    Hardware built and tested under load, models served behind company sign-in with permissions and logging, document search connected and staff trained.

  4. 4

    Own it, with backup

    Everything is documented and in your name. On an optional care plan we keep models, security patches and backups current.

On-Premise LLM Deployment (Open Models on Your Hardware) pricing

Pricing typically starts at $5,000 plus hardware, and most projects take 2–4 weeks. Every project gets a fixed quote after a free discovery call.

What affects the cost

  • How many people use it at the same time
  • The model size and quality you need
  • How many documents it searches
  • Hardware: one computer, a workstation or a multi-GPU server
  • Fine-tuning, integrations and offline (air-gapped) requirements

Compare pricing for all services

Why Wisconsin businesses choose us

Rooted in Wisconsin and working nationwide, we size the hardware honestly, build and test it, install it on site in Wisconsin or ship it ready to plug in anywhere in the U.S., and support it remotely.

Practical AI, not hype

We add AI where it saves real hours, with guardrails, privacy and a person in the loop.

A Wisconsin team

You work directly with the Wisconsin-based team building your project, in Central Time.

Any size business

One-person shops, growing companies and large operations all get the same fast, friendly help.

Fixed, upfront pricing

You get a written scope and a fixed quote before work starts, without big-city agency overhead.

On-Premise LLM Deployment (Open Models on Your Hardware) FAQs

Which model should we use?

It depends on the work. We test a short list of open models on your real tasks, compare quality and speed on your hardware, and pick the best fit. You can switch models later without rebuilding.

Can our existing tools use it?

Usually, yes. We serve it through an OpenAI-compatible API, which many apps and automation tools already support.

Is a private model as good as ChatGPT or Claude?

For drafting, summarizing, searching your documents and most everyday work, today’s open models are very capable. For the hardest reasoning the largest cloud models still lead, which is why many companies run a hybrid: sensitive work stays local and approved tasks can use a cloud model.

What hardware does it take?

Anything from a recent computer with plenty of memory for one person, to a GPU workstation for a team, to a dedicated multi-GPU server for a whole company. We size it to your users, models and documents and quote it upfront.

Tell us what you need

Get a free, no-pressure quote from a Wisconsin development team. Tell us a little about your business and we'll reply within one business day with next steps, rough pricing and honest advice.

  • Big projects and small ones are all welcome
  • Fixed-price quotes, no surprise invoices
  • You own your code, data and accounts
  • A client portal to track progress, invoices and payments
  • Rooted in Wisconsin, serving businesses nationwide

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