Keep your AI running on your own infrastructure instead of someone else's cloud.
Your data should not need a passport to be useful.
The story
Sending institutional data to an external AI service is a decision with a compliance surface most people see only after it is made. For a ministry, a bank, or a hospital, the question is not whether the AI works. It is where the data went, who else can reach it, and what the regulator will say.
We deploy AI on infrastructure you control. Models and agents run on your machines, your data stays inside your boundary, and the operations are documented so your own people can run them.
This has been our position since the first build, not a trend we adopted. The deployment base is proven; the practice continues.
Where it sits. Registered under Artificial Intelligence on the legal record. The company page carries the registration detail in full.
What gets delivered
- On-premises model and agent deployment
- Local inference setup sized to your actual hardware
- Data custody review: what moves, what never does
- Operations runbook written for your team
- No external service in the loop unless you choose one, knowingly
Case study
The self-hosted position
Our agent platform ran self-hosted by design: infrastructure the client controlled, data that stayed inside it. The deployment base carried the practice, and the practice outlived the product.
The position is not new and not rented: held since the first build.
Position held since the first build.
Related
Other ways we help.
- Build an AI tool that does one job well instead of promising to do everything.
- Keep your systems running when the internet drops or the power doesn't cooperate.
- Get a straight answer on which tech decision actually holds up under scrutiny.
- Get your data working for you instead of sitting in a folder nobody opens.