Private AI infrastructure
For organisations where data cannot leave the building. We size, deploy and document the full stack — open-weight models, retrieval, orchestration and monitoring — so your team can run it without us.
0
outbound connections in air-gapped mode
The problem
Your data cannot leave the building — or you simply don't want a vendor's shared platform holding it. You still want modern AI.
How it works
Four stages, end to end
- 01
Size
Models, GPU or CPU, and storage sized to your load and the accuracy you need.
- 02
Deploy
Open-weight models, vector database, orchestration and interface shipped as reproducible Docker stacks.
- 03
Secure
Network rules, access control, TLS and backups configured to your policy.
- 04
Hand over
Monitoring, update runbooks and a walkthrough for your IT team.
Where it is used
- 01Air-gapped deployments for police and government
- 02Self-hosted automation platforms in your own cloud account
- 03Private model endpoints for internal tools
- 04Moving workloads off shared SaaS and into infrastructure you own
Sectors using it
What you get
- Docker-based, reproducible environments
- Monitoring and backup setup
- Security and access documentation
- Update and recovery runbooks
Also included
- Open-weight models on your own GPUs
- GPU or CPU inference, selectable by configuration
- Reproducible Docker-based environments
- Monitoring, backups and update runbooks handed over
Bring us thetwo-day process.
In one call we'll tell you whether AI can do it reliably, how we would test that, and what a first version would take. No slideware.