Private AI for Business: Your Own AI on Your Own Server

01Why businesses choose private AI

• Confidential files. Client, patient, employee and case files stay on systems you control.
• Contracts and rules. Some agreements and regulations do not allow sending data to a third party. A private model takes that question off the table.
• Predictable cost. You pay for the server, not for every question your staff ask.
• Control. The model does not change underneath you; you decide when to update it.
• Offline operation. It keeps working on a network with no internet connection.

02What a private LLM can do

A private LLM (large language model) can do much of the everyday work people use public AI assistants for:

• answer questions over your own documents, citing the source;
• summarize and draft: email, reports, notes, first versions of documents;
• extract data from forms, invoices and records;
• sort and route incoming requests;
• power internal assistants and agents.

Models that run on your own hardware are often smaller than the largest public services, so we test them on your own documents before you commit, and size the model to the job.

03What runs fully offline

In an offline setup everything lives inside your network: the model, the search index over your documents, the application your staff use, and the logs. Nothing calls out to the internet. Updates to models and software are brought in deliberately, checked, and installed by someone you trust. Air-gapped environments have always been run this way, and the same habits apply to AI.

04What it needs

• Your own hardware: a computer or server able to run local models, usually with a capable graphics card. How big depends on the model and on how many people use it at once; we size it during the assessment.
• A private cloud server: a virtual server in your own cloud account, with your data rules applied. No hardware to buy, and it can be sized up or down.
• A hybrid: confidential work stays on the private model, while non-sensitive tasks use other services under your policy.

All three keep the same rule: the files that matter never go to a public AI service.

05Private AI for small businesses

You do not need a data center. A small firm can start with one well-chosen machine in the office, or one private cloud server, and one job, for example search over its own documents. Document search works with the files you already have, so there is no big data project first. If it proves useful, add people, documents and tools from there.

06What stays yours

The models, the search index, the prompts, the data, the code and the documentation, in your accounts and on your hardware. No lock-in: you can run it, change it or move it without us. We offer support and monitoring after launch, and your own team can learn to run it, one-to-one.

course/private-ai

Private AI on Your Server

Your own models, search over your company's documents, offline operation, security.

Level 3 · Pro, 1:18 weekly 1:1 sessions

Tools: a computer or server able to run local models.

$2,490PayAsk

course/cloud-deploy

Your AI Server in the Cloud

Set up a production virtual server with any major cloud provider, deploy and secure your applications, and configure agents to run inside it.

Level 3 · Pro, 1:18 weekly 1:1 sessions

Tools: a cloud server account (from a few dollars a month) and an AI assistant subscription.

$2,490PayAsk

07Questions about private AI