We put an AI system in your building, connect it to your files and your business software, and hand the whole team access. Your documents never leave the network. There is no seat count to grow.
Private AI means the model runs on hardware you own instead of somebody else's cloud. We deploy NVIDIA class local AI machines, load them with capable open models, and connect them to the places your information already lives.
Your team gets a chat box that looks like the one they already use. What sits behind it is the difference. Ask what the warranty terms were on the Henderson job and it reads your contracts. Ask it to draft a reply to an angry customer and it knows your policies, your pricing, and what you told that customer in March. None of that goes out over the internet to get answered.
The first thing we test on any deployment is whether it can answer a question about a four year old change order without somebody telling it which folder to look in. When that fails, the model is almost never the problem. Your file storage is.
This is not a science project in a closet. It gets treated like the rest of your infrastructure: on the network, backed up, monitored, patched, documented.
"How are you using AI without handing over client data?" It comes up on every call, and he made a video about it for his contractor audience.
Most companies did not choose an AI stack. It accumulated. A department signed up here, a manager expensed a tool there, and now four vendors hold pieces of your work.
Hardware is a one time purchase. Support is a monthly agreement you can size to what you actually need. We will show you the comparison against your current subscription spend before you buy anything.
"Private AI" gets used to describe five different setups. Here is the ladder we work from, and we recommend the simplest rung that fits your risk, not the most expensive one.
| Setup | Where processing happens | Good fit for |
|---|---|---|
| Public tools with business controls | Vendor's cloud, with contract terms about training and retention | Low sensitivity work, fast rollout, small teams |
| Private cloud tenant | Cloud resources isolated to your account or instance | Distributed teams, moderate sensitivity |
| Hybrid | Sensitive retrieval and inference local, selected tasks in the cloud | Most companies, honestly. Best balance of cost and control |
| On premises | Models, documents, and inference all on your hardware | Confidential knowledge, regulated data, predictable volume |
| Air gapped | No routine outside network connection at all | Restricted environments where isolation beats convenience |
Putting a server in your building does not by itself make you compliant with HIPAA, CMMC, or any other framework, and anyone who tells you otherwise is selling you something. Local deployment supports a compliant architecture when it is combined with the right access controls, logging, backup, physical security, policy, and human review. We build those pieces in and we say plainly which ones are your responsibility.
For general reasoning at the frontier, no. For answering questions about your documents, drafting from your templates, summarizing, extracting data, and running your workflows, current open models are more than good enough, and they get better every few months. We test against your real work before you buy, and we will tell you if a job belongs in the cloud.
It depends on team size, how many systems we connect, and how much custom work is involved. A focused first deployment is a five figure project. A company wide build with multiple integrations and custom software is larger. You get a fixed scope and a number before anything is ordered, and the assessment fee is credited toward the build.
Weeks, not quarters. A bounded first deployment is typically live and in use inside a month or so once hardware is on hand. Bigger programs run longer, but you should be using something real early instead of waiting for a launch date.
You keep the hardware, the configuration, the documentation, and the credentials. The system keeps running. We will help hand it to your IT people or another provider. No hostage software.
No. We work alongside whoever handles your IT. If you do not have anyone, or the AI work exposes gaps in your network and security, we bring in our own senior people and vendor partners to handle it.
Tell us what your team spends time on and what data you are worried about. We will tell you whether local hardware is the right answer or whether you should start somewhere cheaper.
(208) 254-1930
212 S 11th St Unit #4A
Coeur d'Alene, ID 83814
We reply within one business day.