Your own AI running on your own server — no per-user subscriptions and no company data sent to OpenAI, Microsoft or Google. The language model runs locally, on hardware you control, and your conversations, documents and know-how never leave your infrastructure.
This isn’t theory from a slide deck: We run our own AI server with a 122-billion-parameter model in daily use — handling chat, document and image analysis, and agents that automate support tickets. The same can be built for you.
What we can do for you
Hardware selection & deployment
We’ll advise what hardware you actually need — and tell you honestly when a single GPU is enough and when a multi-GPU server is required. We handle installation, model quantization and setting up an efficient inference engine so the hardware is used to its full potential.
Company AI chat
A ChatGPT-like interface, entirely on your server: employee accounts, conversation history, working with files and images, web search. No per-seat fees and no risk of company documents ending up in someone else’s model.
AI that knows your company (RAG)
We connect the model to your company’s knowledge base — procedures, manuals, documentation, ticket history. Employees ask in plain language and get answers based on your materials, with a reference to the source. It’s the fastest way to stop critical knowledge living only in a few people’s heads.
Model training & fine-tuning
When an off-the-shelf model isn’t enough — We’ll fine-tune it on your data, so it speaks your language, knows your terminology and answers in the format you need. Training can run on your hardware or on our infrastructure, if you’d rather not invest in GPUs upfront. We take care of preparing the training set, the training itself and evaluating the results.
AI agents — real automation
A model is more than a chat window. We build agents that actually do the work: classify and route tickets, answer repetitive e-mails, extract data from documents, run tasks on servers. Always under control — you decide what the agent may do on its own and what needs approval.
Why local instead of cloud?
- Confidentiality & GDPR — personal data, contracts and documentation never leave the company. No need to trust someone else’s privacy policy or wonder whether your files train a foreign model.
- Predictable cost — you pay once for deployment and for electricity, not monthly per employee. With a dozen or more users, an in-house solution pays off sooner than you’d expect.
- Independence — the model won’t disappear, won’t get more expensive overnight and won’t change its terms of use. It also works when the internet doesn’t.
- Customisation — you can tune the model to your industry, which off-the-shelf services usually don’t allow.
Where to start
With a conversation about what you actually want to achieve. We’ll tell you straight whether AI is the right tool here, what hardware it needs and what results to expect — without promising miracles. If you’d like to see it working first, we can start with a pilot on our infrastructure and move everything to you afterwards.
See also: server administration · Nextcloud for business · IT support for business