[ 09 : LOCAL AI ]
Local AI
Your own AI model, trained on your data and running on your infrastructure. No data leaves your building, no API costs that scale with your usage.
[ 01 : THE PROBLEM ]
You want to use AI, but your data can't leave the building
Public AI services send every question and every document to servers outside your control. For sensitive business data, customer records or medical information, that's not an option. And the bill grows with every use.
01
Sensitive data can't go to the cloud
Customer files, contracts, personal data: GDPR and your own policy forbid sending this to a US cloud API. So AI stays unused for your most valuable processes.
02
API costs grow uncontrolled
Per processed document, per question, per token you pay again. What looks cheap in a pilot becomes a recurring cost of thousands per month at full rollout.
03
You build on a foundation you don't own
Prices change, models get retired, terms get revised. Your entire AI layer depends on a vendor you don't control: vendor lock-in in its purest form.
[ 02 : WITH THE AI LAYER ]
Your question is answered locally, your data stays in
With a cloud API, every question travels to servers outside your control. With a local model everything happens inside your own network: the model reads your data, reasons and answers without anything leaving. You keep the key.
Your model runs locally, your data stays within your own walls.
EXAMPLE: FIGURES INDICATIVE
[ DETAIL : HOW IT RUNS, STEP BY STEP ]
WITH OWNED MODEL
everything inside your own network
09:00
An employee asks a question about a customer file
09:00
Model runs on your own server
no connection to the outside
09:00
Answer sourced from your business data
trained on your own documents
09:00
Everything logged in your own environment
full audit trail, stored locally
0 BYTES LEAVE YOUR NETWORK / NO COST PER QUESTION
± 0 data leaks
for a task that would otherwise go to the cloud
EXAMPLE: FIGURES INDICATIVE
[ 03 : WHAT WE BUILD ]
What is local AI and what do we build?
A model that you own
We train and fine-tune an AI model on your data and deliver it as your property. Not a subscription to someone else's model: you get a system that is and stays yours.
Runs on your own infrastructure
On your own servers, a private cloud, or even air-gapped with no internet. You decide where it runs and who can access it.
No data leaves your network
Every question, document and answer stays inside your own environment. GDPR-proof by design, without having to trust a cloud vendor's promise.
No variable API costs
You pay for the infrastructure, not per processed question. At high volume, an owned model is often many times cheaper than a cloud API that charges per token.
Trained on your knowledge and language
The model knows your products, processes and jargon because it's trained on your documents. More relevant answers than a generic model that doesn't know your business.
Ready for the EU AI Act and NIS2
Full control over data, logging and decision-making makes compliance demonstrable. You don't have to explain what an external vendor does with your data, because they never receive it.
[ 04 : THE APPROACH ]
01 / 03
MEASURE
The efficiency audit: we measure where your heaviest processes cost time and money. You get a scan report with a modeled payoff.
02 / 03
BUILD
Custom AI and software inside your existing systems. One concrete proposal, fixed price, live in ~weeks. Your team keeps working.
03 / 03
OWN
Code, data and model are yours. We measure the savings and tune where needed; you stay in control.
[ 05 : WHAT IT SAVES ]
-85%
LESS VARIABLE COST
Less recurring AI cost at scale
A cloud API charges per question, so your costs grow with your usage. An owned model runs on fixed infrastructure: after setup you process unlimited requests with no per-token bill.
Book the efficiency auditExample at high, sustained usage; excludes one-time setup and hardware. We determine your actual saving in the free scan.
[ 06 : FREQUENTLY ASKED ]
Frequently asked questions
Put AI to work on your most valuable data, safely
We analyze which processes suit an owned model, calculate the saving on API costs for you, and build a working proof of concept. No data leaves your building, no long-term contract.