Private AI

Private AI on your own servers

The assistants and agents your team wants, running where your data already lives: your servers, your private cloud, under your control.

Private AI

Private and on-premise AI, explained

Private AI means the language model and everything around it run inside your infrastructure, on your own servers or a private cloud you control. Prompts, documents and answers never leave your organisation.

Private AI

When public AI is not enough

Client, patient or citizen data cannot be sent to a third party
Regulators ask where data is processed and who can see it
Usage costs grow with every user and every document
A vendor's model changes without notice
Private AI

What can run privately

A private chat assistant for the whole company
Search and answers over your own documents
Document reading and classification
Coding assistants for your developers
Agents that act on internal systems
Private AI

How we deploy it

1

Assess

Your use cases, data, security rules and hardware.

2

Choose

The right open-source model for each task, sized to your hardware or a private cloud.

3

Build

Retrieval over your documents, access by role, logging and evaluation.

4

Run

Monitoring, updates and new models as they improve.

Private AI

Private AI and GDPR

It is the architecture that makes compliance simplest: data never leaves your control, access follows your roles, and every interaction can be logged and audited. We document each system against GDPR and the EU AI Act.

Compared

Public AI service against private AI

Public AI servicePrivate AI
Where data is processedThe provider's cloudYour servers or private cloud
Who can audit itThe providerYou
Cost as usage growsRises per user and per requestMostly fixed
Model changesWhen the provider decidesWhen you decide
Works without internetNoYes, if needed
Questions

Frequently asked

Can a mid-sized company have its own private AI?

Yes. Open-source models now run well on a single server, and the cost has fallen sharply.

How good are open-source models?

For most business tasks, such as answering from documents, drafting and classifying, they are close to the best public models, and improving fast.

What hardware do we need?

It depends on the number of users and tasks. We size it in the assessment; a private cloud is an option if you prefer not to buy hardware.

How much does it cost?

It depends on the scope and the hardware. We agree it before any work starts, and the first conversation is free.

Can we start in the cloud and move later?

Yes. We build so the same system can move from a private cloud to your own servers.

Turn ambition into results.

Tell us where you want to be. We will show you the fastest way to get there, with the right mix of strategy, technology and AI.