Tell us what you need
A three-minute form identifies your use case, data sensitivity and workload. No technical knowledge required.
An AI assistant running on your own company’s server. Your information never leaves — and this time, you can prove it.
The fence is closed. The core is inside.
From the first question to a running private model — in three steps.
A three-minute form identifies your use case, data sensitivity and workload. No technical knowledge required.
We compare vetted international providers and take the cheapest one that can genuinely handle your workload.
Model deployment, security hardening, monitoring, updates and support — all included.
Depending on where the company is on its journey.
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.
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.
Companies of 20 to 500 people that work with sensitive information, carry legal obligations, but have no in-house specialist team.
Three routes. The first is what happens in most offices right now; the other two are what we do instead.
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.
The sensitive parts are stripped before anything leaves, the rest goes on, and all of it is logged. Spending and access limits are yours.
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.
What buyers ask us before signing.
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.
Leading open-weight models — the Qwen, Gemma, Mistral, Llama, DeepSeek and gpt-oss families — selected for your language, hardware budget and use case.
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.
Tell us about your project — we reply within one business day.
The assistant runs on AI and can make mistakes. Please confirm anything important with our team.