Private AI
Your data. Your rules.
Have documents that cannot leave the company? We design AI within your perimeter: cloud on European servers, a hybrid solution or models running on your own servers. With controlled access and a log of every operation.
The problem
You want AI, but not at the cost of your data.
Here are the most common concerns and how we address them. And there is much more.
Deployment options
Cloud, hybrid or on your servers. We decide together.
It depends on data, constraints, volumes and the systems to connect. Click an option to see the differences.
Cloud on European servers
Fast start and variable workloads, with data contracts and defined retention.
- Where the models run: the provider's data centre, on European servers
- Where the data stays: in the configured cloud environment
- When to choose it: fast start, variable workloads, non-critical data
- Bear in mind: reliance on the connection and the provider
Hybrid
Sensitive data stays in-house; only what is permitted, anonymised or aggregated goes to the cloud.
- Where the models run: partly on your servers, partly in the cloud
- Where the data stays: sensitive data within your perimeter
- When to choose it: a balance between computing power and confidentiality
- Bear in mind: precise rules on what can leave
On your servers
Models running on your infrastructure, inside the company network.
- Where the models run: on-premise servers or a local device
- Where the data stays: always inside the company network
- When to choose it: confidential documents, regulatory constraints
- Bear in mind: dedicated hardware and right-sized models
Does it work offline too? A model running locally can work without internet, but some integrations need a connection. We check this case by case.
Governance
Who sees what. Who decides what.
Written rules, verifiable permissions and a log that answers auditors' questions.
- Every person and every agent sees only what their role allows.
- Restricted folders stay closed to anyone not authorised.
- Important actions are confirmed by a person.
- A log of requests, answers, approvals and changes.
- Model versions tracked, with periodic evaluations.
- Data retention defined by contract. Data is never used to train models.
FAQ
Common questions. Straight answers.
Where does the data go?
To the cloud on European servers, a hybrid setup or your own servers: we decide together based on the data and the constraints.
Is our data used to train the models?
No, never.
Can we keep everything on our own servers?
Yes: we design on-premise solutions, with models running on your infrastructure.
Does it work offline too?
It depends on the deployment: a local model can work without internet, but some integrations need a connection. We check this case by case.
How do you handle GDPR and UK GDPR?
We design to comply with GDPR and UK GDPR, with a data processing agreement and logged access.
What if one day we no longer need it?
We switch it off. Data and memory remain yours and can be exported.
First step
Have data that can't leave? Let's start with the constraints.
Tell us about your infrastructure, regulations and systems: we will propose the best-suited option.