Overview
We deploy large language models entirely within your infrastructure — no API calls to OpenAI, no data sent to Anthropic, no logs on third-party servers. For organisations with classified data, GDPR obligations, or sovereignty requirements, this is the only acceptable architecture.
The Problem
Commercial LLM APIs are not acceptable for legal, medical, defence, or regulated financial data. GDPR prohibits certain data transfers. Classified information cannot leave the perimeter. Yet organisations need the productivity gains of LLMs — internal document search, code generation, summarisation, Q&A.
Our Approach
We select the right open-weight model for your use case (Llama 3, Mistral, Qwen, Deepseek), fine-tune on your domain data where needed, quantise to GGUF for efficient CPU/GPU inference, and deploy with a standard API interface. No internet required post-deployment. We handle the full pipeline: hardware selection, model optimisation, API layer, and a simple chat or integration UI.
Deliverables
- Model selection and sizing
- On-premise infrastructure setup
- Model fine-tuning (LoRA)
- GGUF quantisation
- Local inference API
- Integration with existing systems