Private & Secure AI Infrastructure

Your own LLM platform, on-premise or in the data-centre region you choose, with no external API dependency.

Public AI chat tools are convenient, but every prompt and every uploaded document goes to an external provider. For many companies, especially in regulated industries, that is not acceptable: client data, contracts, health data or internal know-how must stay under their control.

I build private AI platforms that run on your own servers or with a hosting provider in the region you choose. Your team gets a familiar chat interface and modern open-source models, and your data never leaves your infrastructure.

Typical use cases

Internal ChatGPT alternative

A secure assistant for writing, summarising and translating, for all employees.

Confidential documents

Work with contracts, client files or patient data without sending them to the cloud.

Developer assistance

Code models such as CodeStral for your development team, without uploading source code.

Regulated industries

Finance, health, legal and the public sector, where data location matters.

Related case study

Private AI

Private LLM Platform for a Public-Sector Organisation

Challenge
Staff needed generative AI for documents and IT operations, but sensitive data could not be sent to external AI providers.
Result
Generative AI in daily use, with no data leaving the organisation and no dependency on external APIs.
  • Ollama
  • Open WebUI
  • RAG
  • Embeddings
  • C#
  • Azure DevOps
Read case study →

Ways to Start

Small first steps, clear results

Half day · fixed price
AI Opportunity Workshop

We map your processes, identify the 2–3 AI use cases with the best return, and leave you with a prioritised roadmap.

4 weeks · fixed scope
AI Pilot: Agent, RAG or ML

A working prototype on your own data, tested with real users before you invest further.

1–2 days · fixed price
AI & Data Readiness Check

A review of your data, tools and privacy requirements (GDPR, nDSG), with clear recommendations on which AI approach fits: cloud, hybrid or on-premise.

How I Work

From idea to production in four steps

  1. Discover

    A free 30-minute call, then a workshop to understand your processes, data and privacy requirements.

  2. Pilot

    A small, fixed-scope prototype on your real data, so you see the value before investing further.

  3. Deploy

    Production rollout in your cloud or on your own infrastructure, integrated with the tools your team already uses.

  4. Support

    Monitoring, model updates, training for your team and continuous improvement.

Other services

Let’s find out what AI can do for you

A free, no-obligation 30-minute call. You describe your processes or data, and I show you where AI could help and what a sensible first step looks like.

Book a free 30-min consultation →