Control
If you can’t audit where a prompt goes, you can’t promise a customer where their data went. On your own servers the answer is one word: nowhere.
egress · none
On-premise AI · Own the model
Your own AI.
On your servers.
Your data never leaves.
YourTrained.ai is an on-premise AI solutions agency. We build private AI assistants and fine-tuned language models that run entirely on your company’s own hardware, so customer data, documents, and know-how never touch a third-party cloud. You own the model. We make it work.
- €0 per-token fees
- Air-gapped ready
- GDPR & EU AI Act
- You own the model
modelyour-company-model-v2running on127.0.0.1 · your rackegressnoneper-token fees€0ownershipfullrunning locally
Rent vs. own
The same request, two very different loops.
Today · cloud API
Your data goes out. A meter runs on every token. A generic answer comes back.
With YourTrained.ai
The request never leaves your network. Your own model answers with your business in mind. No meter.
Cost
API bills scale with every prompt, forever. Hardware you own amortises. The heavier your use, the sooner owning beats renting.
Compliance
EU AI Act transparency obligations apply since August 2026; high-risk obligations follow in December 2027. On-prem makes ‘where is our data’ a one-word answer.
- Runs on your infrastructure
- Nothing leaves your network
- No per-token fees
What you can own
Three systems you can own.
01
Task model
A purpose-built model for one job: pricing, scoring, forecasting, reading documents. The fastest way to own your first AI.
- one job, done precisely
- classic ML or a small model
- fastest to production
Scoped in the assessment
02
Private LLM
An open model deployed on your hardware. A sanctioned assistant for your whole team, inside your network.
- runs on your hardware
- your team's private assistant
- nothing leaves the network
Scoped in the assessment
03
Trained LLM
Fine-tuned on your documents, cases and decisions, so it speaks your business.
- fine-tuned on your data
- speaks your business
- our namesake build
Scoped in the assessment
The Company Brain
Add memory to any system.
The Company Brain is a living vault your AI reads before every task and writes back to after: decisions, pricing logic, past cases, what changed and why. The model gives answers. The Brain remembers why. It lives on your servers, with everything else.
available on every system · built for Private and Trained LLMs
How it works
From assessment to a model you own.
Assessment
We map where AI actually helps and what data it needs. You get a written plan with real costs before anything is built.
mapping your documents
Build
We build the system and train the model on your data, under NDA, on your infrastructure or on isolated hardware wiped after handover.
training on your hardware
Test & fine-tune
We put it in front of your team and tune it on real cases together, until the answers hold up in daily work.
tuned with your team
Deploy & hand over
It runs on your hardware. We train your team and hand over the keys. You own it either way.
the keys move to you
Maintain & keep up to speed
AI moves fast. We keep your local models current with the field, so what you own never falls behind.
your model stays current
Selected work
What has this team actually built?
YourTrained.ai is the on-premise AI line of Code2b, an AI and automation agency that builds for businesses and public bodies across the EU. Client names stay confidential, so the systems below are described by sector and by what they do. Every one is real work, shown at its actual stage.
Reads your documents
Public procurementTask modelDelivered
Contract intelligence
90-95% extraction · zero unconfirmed records reach a deadline
View system →Public fundingTrained LLMDelivered
Grant eligibility
issue found in 80% of candidates · every decision cites its rule
View system →Acts like your team
ConstructionTrained LLMPrototype
Bill of quantities
+ Company Braintwo weeks to two minutes · 50,000+ price records
View system →SecurityTrained LLMIn production
Autonomous red-team agent
70% less time per engagement · complete audit trail
View system →Prices your market
AviationTask modelIn production
Airline revenue model
500,000 observations a day · validated against published load factors
View system →HospitalityTask modelIn production
Hotel night-pricing model
+ Company Brain180 days of nightly prices · 6 markets live
View system →A Code2b company · building AI for businesses and public bodies since 2021
26 AI systems built since 2021
FAQ
Questions businesses actually ask.
Is it safe to put my company's data into ChatGPT?
It depends on the tier, and on how much you trust a policy you can’t verify. Consumer tools may retain your inputs and can use them for training; enterprise tiers promise otherwise, but you’re trusting a document, not something you can audit. A model running on your own hardware removes the question entirely: there is no third party to trust.
What does on-premise AI cost?
Every build is scoped and quoted individually. Model size, hardware, and how deeply it integrates with your systems drive the cost; two businesses rarely land on the same number. The comparison that matters is against your monthly API spend, which never stops. Builds start from €4,000; the assessment puts a real number on your case. The hardware ranges we actually quote, tier by tier, are written down: what a private AI server really costs.
Is a private AI worth it for a small business?
Not always. If you have no compliance driver and a small API bill, staying on the cloud is the sensible choice, and we’ll say so in the assessment. It becomes worth it when your data is sensitive, your usage is heavy, or a regulator or auditor is asking questions about where that data goes. We wrote down the criteria we use: when not to self-host an LLM.
Can AI run without an internet connection?
Yes. Open-source models run fully offline once installed on your hardware. For environments that require it, we deliver air-gapped deployments with no connection in or out.
Are open-source models as good as ChatGPT?
For scoped business tasks like answering from your documents, drafting in your formats, or sorting your tickets, a fine-tuned open model is competitive. For open-ended frontier work, no, not yet. Most business use is scoped, which is why this works.
What happens to our data during the build?
We work under NDA and a data processing agreement. Training happens on your infrastructure, or on isolated hardware that is wiped after handover. Your data never trains anyone else’s model.
Do we need our own IT team to run it?
No. We support what we build, or hand over runbooks to whoever already runs your servers. If a model needs a team of engineers to keep it alive, we built it wrong.
fit · sensitive customer data
fit · heavy, daily AI use
not a fit · no compliance driver, a small API bill
→ the cloud is fine
Find out what your own AI would cost.
scoped to your build · no obligation