Start from the problem, not the model.
Each page answers the questions a buyer actually asks: what leaves the network, how quality is measured, who maintains it, and when local is the wrong answer.
Private AI over confidential documents
“We need AI over confidential documents, but cannot send them outside our infrastructure.”
Conditions, trade-offs & next step →Self-hosted vs hosted LLM cost, compared on your workload
“Our inference bill is material and growing. Would self-hosting actually be cheaper?”
Conditions, trade-offs & next step →Make a local AI prototype production-ready
“Our prototype worked in the demo, but it is slow, unreliable or unsafe with real users.”
Conditions, trade-offs & next step →Also supported, case by case
We take these on selectively, with specialist partners, until we have enough evidence to publish a full solution.
Private coding assistance
Useful coding help without unapproved processing of source code.
On-device product features
AI features that run on customer laptops or phones within memory, latency and distribution limits.
Offline operational assistance
Procedures and knowledge for field or industrial teams without dependable connectivity.
Hardware procurement
A defensible specification, tested capacity and a supportable purchase.
Research & teaching infrastructure
Shared model access with allocation controls and reproducibility for labs.