Private AI infrastructure
Your AI.
Your hardware.
Your data.
We design, build and configure private AI systems on machines you own, so confidential documents never reach a public model and your costs do not grow with every token.
- On-premise or air-gapped
- Open-weight models
- You own the machines
Why private AI
The same capability, without sending your data out
Public AI services run your prompts and documents on their servers. A private system runs the same kind of models on hardware in your office or data centre.
Public AI service
- Documents and prompts go to the provider’s servers
- Billed per token or per seat, so cost grows with use
- The provider picks the models and changes them
- Needs a connection to the internet
Private AI by Pixel Earth
- Documents stay on machines you own
- No per-token bill: you own the hardware it runs on
- You choose open-weight models such as Llama, Mistral, Qwen and gpt-oss
- Can run fully offline, air-gapped from every network
Services
Six ways to bring AI in-house
Every service is set up on machines you own, sized for your team and your data.
AI Workstations
We configure high‑performance workstations with GPUs selected for the workload, ensuring optimal local LLM performance.
Learn more
Private RAG
We build private retrieval‑augmented generation pipelines that keep all data on your premises.
Learn more
Departmental AI
We deploy AI solutions that operate within specific departments, respecting data boundaries and compliance.
Learn more
Air‑Gapped AI
We create isolated AI environments that never connect to external networks, ensuring maximum data security.
Learn more
AI Automation
We integrate AI into your workflows, automating repetitive tasks while maintaining control over data.
Learn more
AI Agents
We build autonomous agents that operate within your private infrastructure, handling complex tasks on your behalf.
Learn more
How we work
From first call to handover
One team takes the project from your requirements to a running system your people can use and maintain.
01
Consultation
- We assess your current infrastructure and data requirements.
- We define a secure, compliant AI strategy.
02
Design
- We architect the AI system architecture.
- We select appropriate open‑weight models.
03
Build & Configuration
- We install and configure hardware and software.
- We test performance and security.
04
Handover & Support
- We provide documentation and training.
- We offer ongoing support tailored to your needs.
Ownership
You own every part of the system
We build it, document it and hand it over. Nothing depends on a subscription to us or to a model provider.
Earlier work
Businesses we have built for
Before focusing on private AI, Pixel Earth built custom software for businesses like these: apps, system integrations, automation and websites.
- Potamos Guest House
- The Conference Center
- AV Solutions LTD
- The Daily Explorer
- 139 GLADSTONE
- Birkett Long Solicitors
- SOFFOS AI
- Clean UK
- Watermill Tavern
- Barleys Bar & Lounge
- Airport Express & Taxis
- Fountech Labs
- Opticsfit
- Steni Community Council
- Laki Kane
- Spice It Up Cy
Questions
What people ask first
More answers about each service, hardware and how projects run.
What is an AI workstation?
AI workstations are high-performance computing systems designed for running large language models and AI workloads locally. They are configured to support open-weight models like Llama, Mistral, Qwen, and gpt-oss.
Can I use my own hardware?
Yes, you can bring your own hardware. We’ll configure and set up the system to run your AI models locally, ensuring optimal performance and data privacy.
What is Private RAG?
Private RAG is a secure, local implementation of Retrieval-Augmented Generation that allows you to query your own data using AI models. It ensures data privacy and compliance.
What is Air-Gapped AI?
Air-Gapped AI systems operate completely offline, ensuring that no data leaves your environment. This provides the highest level of data security and compliance.
Start a project