01
Privacy by design
Your data never leaves your network. Not a policy, an architecture: nobody sees it, because it never moves.
LL—01 · Local AI systemsSheet 01 / 05Online · LAN onlyRev. 2026.10
Your AI.
Your servers.
Your rules.
Hardware, software and hands-on consulting to run large language models on your own premises. Your data never leaves the building.
[01] Compute
GPUs sized to your load
[02] Storage
Your documents, on-site
[03] Network
LAN only · air-gap ready
[04] Egress
0 bytes. By design.
[01] Why in-house
Four reasons the model should live where your data lives.
02
Your data, your model
The model reads your documents and your history, not the internet’s. Swap in a better open model any time.
03
Fixed cost
One server, one bill. No per-token meter running with every query, forever.
04
Human in the loop
Agents that watch, interpret and report. Anything consequential is a proposal that a named person approves.
[02] What we deliver
One partner.
Three disciplines.
Hardware
Sized servers, from a compact single-box setup to multi-GPU backends, built for local inference.
- Desk-side
- Rack
- Multi-GPU
Software
RAG on your own documents, transcription, agentic workflows and custom model tuning.
- RAG
- Agents
- Fine-tuning
Consulting
From scoping your first use case to onsite training and ongoing technical customization.
- Scoping
- Training
- Support
[03] Case study · Manufacturing
A manufacturer put an AI agent on its own servers, and never sent a byte of production data to anyone.
Production data leaving the site
Target operational efficiency gain
Target cost saving
[04] From the blog
Field notes on running AI locally.
Data colonialism
How tech giants exploit personal information in the digital age, and how local LLMs give organizations their data sovereignty back.
Local GenAI
The rise of local GenAI solutions: how they work, their technical aspects and their advantages.
How do LLMs work?
How large language models like ChatGPT work, what they are, and how they differ from search engines.
Let’s size your first model.
Tell us about your use case. We’ll come back with a sized, priced proposal.
Request a quote