AI on your own infrastructureYour data stays in-houseGDPR-compliant

Custom private AI development

Many AI applications send your data to the clouds of large American AI providers. For sensitive or confidential information, that is often undesirable. Appfront builds private AI: language models and AI functionality that run on your own or sovereign EU infrastructure, so your data stays under your control. We develop the application, set up the models and make sure the whole fits your requirements for privacy and security.

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What is private AI?

Private AI means the AI models and their processing run on infrastructure you control, rather than on the public AI clouds of external providers. This can be done with open models you run yourself, or via a secured environment. Your prompts, documents and data do not leave your environment and are not used to train external models.

For organisations working with special category personal data, trade secrets or regulated data, this is often the only responsible way to deploy AI. Appfront builds the application around open language models and designs an architecture that meets GDPR requirements and your security standards.

How we approach this

Discovery

We map out your current situation, applications and requirements.

Design and planning

We design the solution and draw up an approach tailored to your requirements.

Build or migrate

We build or migrate step by step, with attention to integrations and security.

Operations and ongoing development

After go-live, we provide monitoring, maintenance and ongoing development.

What we build

AI on your own infrastructure

We run open language models on your own or sovereign infrastructure.

RAG on your own data

We build retrieval-augmented generation so that AI answers based on your own documents, without ever sharing them.

AI assistants and automation

Custom assistants and workflows that fit your processes.

Data stays in-house

Prompts and documents never leave your environment and are not used to train external models.

Integrations

Integrations with your existing systems and knowledge sources.

Management and monitoring

Ongoing maintenance, model updates and monitoring.

For whom

Healthcare

Applications handling medical or patient data.

Legal and financial sector

Organisations with confidential case files and supervisory obligations.

Government

Services handling citizen data that need to remain under EU jurisdiction.

Businesses with trade secrets

Organisations that want to deploy AI without sharing sensitive data.

Technology and approach

We build with open language models that you can run yourself, using an architecture that keeps your data within your environment. This way you benefit from AI without depending on external AI clouds.

Open language models (LLMs)

Retrieval-augmented generation (RAG)

Vector databases

EU / own infrastructure

Containers / Kubernetes

Encryption and access control

OWASP security

Monitoring and logging

Why Appfront

Appfront builds AI applications and the infrastructure around them. We have experience with open language models, RAG and custom integrations, and we set everything up so that privacy and data minimisation are guaranteed.

AI on your own or sovereign infrastructure
Data never leaves your environment
Experience with open models and RAG
GDPR and data minimisation by design

Related services

Read more about a sovereign AI solution and sovereign cloud.

Frequently Asked Questions

What exactly is private AI?

Private AI refers to AI models and applications that run on infrastructure you control, rather than on the public AI clouds of external providers. Your data never leaves your environment and is not used to train external models.

Why not simply use a service like ChatGPT?

For general use, that can be perfectly fine. But once you process confidential, medical or regulated data, such services send it to external, often non-European infrastructure. Private AI keeps that data under your control.

Which models do you use?

We work with open language models that you can run yourself. The right model depends on your task, quality requirements and available infrastructure, and we determine that together with you.

What is RAG?

Retrieval-augmented generation allows a language model to answer questions based on your own documents. The documents are made searchable and relevant passages are passed to the model, without your knowledge base ever leaving your environment.

Is this GDPR-compliant?

We build with data minimisation and clear legal bases, and keep processing within your environment. That makes it demonstrably easier to comply with the GDPR than with external AI clouds, but ultimate responsibility and assessment remain with your organisation.

Can this run sovereignly?

Yes. We can run the AI application on EU-based or your own infrastructure, so that the whole falls under European jurisdiction.

Getting started with private AI

Want to deploy AI without handing over your data? We would be happy to build a private AI solution that meets your requirements.

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