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Services · Private AI Infrastructure

Private AI infrastructure you own—on your premises

We build, deploy and hand over complete AI systems that run entirely inside your environment. Your models, your data and every document used to train them stay on hardware you control.

Private AI infrastructure

AI that stays on your premises—owned by you

Private AI Infrastructure means we build, deploy and hand over complete AI systems that run entirely inside your own environment. Your models, your data and every document used for vectorisation stay on hardware you control. Nothing is sent to an external provider, and no telemetry leaves the building.

What we deliver

  • On-premise hardware selection, sizing and deployment
  • Private hosting of large open-weight language models, fully offline
  • Vectorisation ("learning") of your private documents into a local knowledge base
  • Retrieval-augmented assistants and search across your own data
  • Optional fine-tuning and continued learning on your corpus
  • Monitoring, updates and a clean maintenance handover

Your data never leaves

  • You own the models, the vector database and the results
  • Air-gapped or no-egress network design—no outbound data flows
  • Source documents used for vectorisation stay entirely on-site
  • Encryption at rest, role-based access control and full audit logging

Built for sensitive industries

  • Healthcare and health & safety: clinical and incident records searchable in-house, with patient data never exposed
  • Government and public sector: intelligence over classified and restricted documents on air-gapped systems
  • Banking: compliance, policy and credit analysis assistants that keep customer data inside the bank
  • Trading: research and proprietary strategy analysis with zero leakage of sensitive positions
  • Legal, defence and critical infrastructure: privileged document review and operational knowledge assistants, fully offline

From a single server to a datacenter

Projects scale to your needs—from a single-GPU server for a department or pilot, through multi-GPU rack systems, up to datacenter-grade, multi-node clusters running the largest open-weight models. We right-size the hardware to your workload, data volume and budget.

Typical deliverables

  • Sized and installed on-premise AI hardware
  • Deployed private models, vector database and retrieval interface
  • Documentation, runbooks and administrator training
  • Monitoring, backup and update plan