Managed private AI

Your own AI.
Only yours.

An AI assistant running on your own company’s server. Your information never leaves — and this time, you can prove it.

One company per deployment 3 days — To go live 0 bytes — Used to train anyone else

The fence is closed. The core is inside.

3 daysTo go live
Single tenantOne company per deployment
0 bytesUsed to train anyone else
24/7Monitoring and support

How it works

From the first question to a running private model — in three steps.

01

Tell us what you need

A three-minute form identifies your use case, data sensitivity and workload. No technical knowledge required.

02

We find the right infrastructure

We compare vetted international providers and take the cheapest one that can genuinely handle your workload.

03

We deploy and maintain

Model deployment, security hardening, monitoring, updates and support — all included.

We offer two solutions

Depending on where the company is on its journey.

01

A dedicated AI assistant

An AI installed on the company’s own server. It works like the tools everyone already knows — you ask, it answers, writes, summarises documents. The difference is that it exists only for you.

Like hiring an employee who never leaves the building.
02

A guardian gateway

For companies not ready for step one who want to keep using public tools. Everything on its way out is inspected, sensitive details are stripped, and everything is recorded.

Like a checkpoint at the exit. Staff notice no difference; management sees what leaves for the first time.

Who it is for

Companies of 20 to 500 people that work with sensitive information, carry legal obligations, but have no in-house specialist team.

Where your data goes today

Three routes. The first is what happens in most offices right now; the other two are what we do instead.

YOUR NETWORK BOUNDARYYour employeePublic AI serviceYour employeePublic service — but cleanedYour employeeA model on your own server×
Sensitive data Cleaned data
1
Today: what everyone does

The text leaves exactly as written. You do not know where it rests, how long it stays, or who can read it. There is no record.

2
If you need the outside: a gateway

The sensitive parts are stripped before anything leaves, the rest goes on, and all of it is logged. Spending and access limits are yours.

3
If you do not: your own model

The text never crosses the boundary. The answer comes from inside. The only thing leaving, if you choose, is nothing at all.

All three routes are real. Which one fits depends on what your data is and which rules you work under — we talk about both on the first call.

Pricing

A one-time setup fee, then a flat monthly amount. No meter, no surprise invoices.

Not sure which one? Answer five questions and see the full figure for your case, infrastructure included.

Frequently asked questions

What buyers ask us before signing.

Is my data really private?

Yes. Your model runs in an isolated environment provisioned exclusively for you. Your data is never used to train other models, and we sign an NDA and a data-processing agreement before onboarding.

Which models do you deploy?

Leading open-weight models — the Qwen, Gemma, Mistral, Llama, DeepSeek and gpt-oss families — selected for your language, hardware budget and use case.

Why not just use ChatGPT or another API?

At low volume a public API is usually cheaper and perfectly adequate, and we will tell you so. A private model wins where the volume is high, or where the data genuinely cannot leave your control.

Talk to us

Tell us about your project — we reply within one business day.