Why local AI
Your knowledge is the asset. Keep it.
Every prompt sent to a public AI carries a piece of your company outside. A private AI turns the same work into an asset that stays yours.
Every prompt sent to a public AI carries a piece of your company with it. Contracts, prices, code and the way your best people think.
0copies outside your walls
Every request to a public AI leaves a copy of your knowledge on someone else's servers.
Three risks of renting someone else's AI
Someone else processes your data
Every prompt is handled by a third party, often outside European jurisdiction. Providers based in the US, for example, fall under the CLOUD Act.
The rules change without you
Prices, terms and the models themselves change when the provider decides. A process built on someone else's model can break overnight.
Shadow AI is already here
People paste work into personal AI accounts because it helps them. Bans don't work. A better internal tool does.
Local no longer means second best
Open models have caught up with closed ones on most everyday business work. And a small model trained on one of your processes often beats a general giant at that job.
AI doesn't replace experts. It multiplies them.
Used in the right dose, inside a tuned process, AI takes the routine and leaves your people the judgement.
People decide, models prepare
The model drafts, searches and checks. The decision and the signature stay with your expert.
One model, one job
A small model trained for a single process is more accurate, cheaper and easier to audit than one model for everything.
Every result can be checked
Answers cite their sources and every action is logged, so trust is earned, not assumed.
Each process tuned on its own. Together, an advantage nobody can copy.
We don't install one big brain and hope. We tune one process at a time, each with its own small model, rules and owner, then connect them into a single line that runs inside your perimeter.
Your knowledge compounds where it lives
Your models
Every month of work makes them sharper on your processes. The value stays on your balance sheet.
The provider's model
The same months of work help train someone else's model, which your competitors use too.
Cloud AI and Vallum, side by side
Cloud AIVallum
Where your data livesOn the provider's servers, often outside the EUOn your servers or a private EU cloud
Who changes the modelThe provider, when it suits themYou, after testing
GDPR and EU AI ActDepends on a third partyLogs, oversight and data residency under your control
Cost as usage growsGrows with every tokenHardware you own, small models that run cheaply
Protection against AI attacksGeneric, shared by everyoneTuned to your data, agents and people
What you own at the endAn invoiceModels, weights, configuration and code
Private AI without leaks starts with an audit
In two weeks we show where data already leaves through external services and propose the architecture for your perimeter.
- First meeting and scenario review free of charge
- You keep the audit report whatever you decide
- NDA signed before any access to your data