Local AI implementation
AI that never lets your data leave the building.
The engagement, in one paragraph
Deployment of open-weight models on infrastructure you control: on-prem, in your private cloud, or fully air-gapped for regulated environments. Includes private retrieval over your own documents, so staff get AI answers grounded in company knowledge without a byte leaving your perimeter.
Standard for every engagement
What you receive
The deliverables.
Model selection benchmarked on your documents and tasks
On-prem or private-cloud deployment, hardened and documented
Private retrieval (RAG) over internal document stores
Access controls, audit logging, and update procedures
Operations runbook your own team can maintain
Fit check
Signs you need this.
Legal or compliance has banned sending data to external AI APIs
You operate in a regulated industry with residency requirements
Staff already paste sensitive documents into consumer chatbots
You want AI capability without a per-seat vendor dependency
None of these fit?
Briefs arrive in every shape. Describe the problem in plain language, the scoping step exists to find the right service, including when the right answer is none of them.
On-prem & private