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Artificial intelligence

Confidential AI for sensitive data

If contracts, medical records or project files can't end up on a public service, the AI goes to where the data is: a confidential server rented in Europe or a server on your premises that we manage.

Choose where your AI runs

The situation

You'd like to use AI on contracts, projects or patient data: documents you can't just paste into any outside service. And with pay-per-use services the bill at the end of the month grows with every question, with no ceiling.

How we do it

We install open models on a server dedicated to you alone, in one of two ways. The first is a GPU server rented in a European data centre: no hardware to buy, a fixed fee. The second is a server bought and installed on your premises: we supply it, install it, configure it and manage it, including updates, models, security and backups.

What you get

When your data can't go to an outside service

  1. 01 Rented in Europe

    A dedicated GPU server in a European data centre, with a fixed fee and no upfront purchase.

  2. 02 On your premises, run by us

    The server sits in your company; updates, models, security and backups remain our job.

  3. 03 Models chosen for the task

    Llama, Mistral, Qwen and other open models, selected and configured for the job they have to do.

With confidential AI the first decision is where the model runs. An open model on a dedicated server processes documents and questions without going through services shared with other customers. And the cost becomes a fixed fee instead of a pay-per-use bill.

Renting in a European data centre is the simplest route to get started and needs no space or in-house expertise. A server on your premises is for those who want their data physically inside the company: we choose the hardware with you, install it and then look after it over time, from model updates to backups.

Not every project needs a server: a commercial model is often enough, with a filter that strips out names, codes and sensitive data before every request. We assess this with you. Every set-up is prepared and tested first in our own lab on NVIDIA DGX Spark.

Who it's for

Healthcare, law firms, industry, finance and anyone handling information covered by professional secrecy or confidentiality obligations, along with the IT managers who have to answer for where the data ends up.

What we work with

Llama Mistral Qwen GPU servers in European data centres GPU servers installed on your premises NVIDIA DGX Spark

Artificial intelligence

More in this area.

The whole area
01 AI adoption consultancy

An analysis of your processes that shows where AI pays off and where it doesn't, what it costs and where your data should live.

 02 AI agents and process automation

AI agents that read emails and PDFs, enter the data into your management software and ask a person to confirm before any important action.

 03 AI assistants for company documents

An assistant that answers questions on manuals, contracts and internal procedures, showing the document and paragraph each answer comes from.

Frequently asked questions

Before you ask.

What's the difference between on-premises AI and a rented server?

With on-premises AI the server is physically at your site; with a rental it is a server dedicated to you alone in a European data centre. Either way the model runs on a machine reserved for your company: what changes is where the hardware sits and whether you buy it or pay a fixed fee for it.

If I buy the server, who manages it?

We do. Once we've supplied, installed and configured it, we take care of updates, models, security and backups. Your team doesn't have to deal with GPUs, models or updates.

Is an open model as good as the commercial ones?

For many business tasks, yes, especially when the job is clearly defined: answering questions on internal documents, extracting data, classifying requests. For very broad tasks commercial models remain more capable. That's why we also weigh up, case by case, the option of a filter for sensitive data.

Which job would you like to take off your team's hands?

Tell us about a task that takes hours today, which documents or programs it involves and how confidential the data is. After the analysis we put the tool, model and server in writing, with costs and timings.

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