On-premise LLM
A model on your own hardware. No token leaves your network. It runs in Docker, with updates and rollback like any other service.
Track 2
AI on your servers.Evidence included.
Local LLMs, regional hosting and automatic logging for healthcare, fintech and regulated operators.
Who this is for
This fits if one of these is true.
- Your staff already use AI tools nobody approved.
- Personal or protected data is not allowed to leave your network.
- An auditor or framework asks for evidence you cannot produce today.
- Legal stopped an AI project because nobody could explain the data path.
- You want the upside of AI without shipping your data to a third party.
Use cases
What we build.
Infrastructure in your own account
If your own hardware is the wrong fit, the model runs in a cloud account you own, in the region you choose. No transfer you did not agree to.
Automatic logging
Every request is logged. Who asked what, when, with which model and which version.
Cryptographic data lineage
Every processing step is recorded in a hash chain. Any auditor can recompute the evidence.
Evidence for the audit
Logs export to compliance, privacy or an external auditor. Through Matproof they also feed a running GRC record.
How it runs
Four steps.
- 01
Scope the data
Which data, which legal basis, which framework. HIPAA, SOC 2, GDPR, the EU AI Act or your sector rules.
- 02
Set the architecture
On-premise or your own cloud account. Model choice, network separation, roles and permissions.
- 03
Build and test
We stand the environment up and test it on your real cases.
- 04
Wire up the evidence
Logging and lineage run from day one. The first export goes straight to the people who need it.
Outcome
What changes.
- Staff use AI on the approved path instead of the browser tab next to it.
- You can show at any time which data a model has seen.
- No transfer you did not approve and no processor you do not know.
- An audit costs hours instead of weeks.
Which data is not allowed to leave your network?
Send us the case. You get a reply within 24 hours.