On-premise AI is artificial intelligence that runs on hardware you own, inside your own building, instead of on a vendor's cloud. Your documents and questions are processed on-site, so nothing is sent to an outside company. It keeps working without internet and has no per-seat fees.
On-premise AI (also called on-prem, local, or self-hosted AI) is AI that lives on a machine in your own office rather than in a data center somewhere else. When an employee asks it a question or uploads a file, everything is handled by that on-site machine — the answer is worked out on your own hardware and nothing travels to OpenAI, Google, or any other provider.
With a cloud tool like ChatGPT, every message you type is sent over the internet to the vendor's servers, processed there, and sent back. With on-premise AI, the "servers" are a box on your own network. The model, your files, and your conversations all live on equipment you control.
| Cloud AI | On-premise AI | |
|---|---|---|
| Where your data is processed | The vendor's cloud | Hardware in your building |
| Works offline | No | Yes |
| Ongoing cost | Monthly, usually per person | Bought once, no per-seat fees |
| Third party to trust | The AI vendor | None |
The common thread is sensitive data plus a need for everyday AI help. On-premise AI lets a team draft, summarize, and answer from their own files without breaking a confidentiality promise or a compliance rule.
Not anymore. Early on-premise AI meant assembling a server and wrangling command-line tools. A ready-made appliance like a PrivateOfficeAI box arrives set up — you plug it into the office network, everyone logs in from a browser, and the AI engines are already installed. There is also a software version that installs on a Mac or Windows PC you already own.
There are two practical routes. The first is a purpose-built appliance: a box that plugs into your network and runs the whole thing out of the crate. The second is software you install on a computer you already have. Both give the team the same features — private chat, a knowledge base that answers from your own files, and document drafting — with everything processed locally. You can try a live demo before deciding which fits.
For everyday office work, yes. Modern local engines draft emails, summarize documents, and answer questions very capably, and the strongest ones can even read images and scans. Cloud models can still edge ahead on the very hardest open-ended tasks, but for typical business use the gap is small and the privacy gain is large. See our security overview for how the data stays put.
Yes. "On-premise", "local", "self-hosted", and "private" AI all describe the same idea: the AI runs on hardware you control, inside your own network, rather than in a vendor's cloud.
No. It runs fully offline on your office wifi. Internet is only needed for optional extras like web search or reaching the box remotely — and even then, your documents and chats stay local.
A ready-made appliance like the PrivateOffice Box is $4,900 one-time for teams up to about 15 people, with no per-seat fees. A software version that runs on your own computer is $899 one-time.
No. The box works forever as bought, and the first year of updates is included. An optional Care Plan keeps updates coming after that, with priority support and health monitoring, so there is nothing for you to manage day to day.