On-premise AI for your teams

Use AI with your own data without giving it away.

We bring AI safely into your company – from idea to productive use.

100%: Data sovereignty
4-8 weeks: to pilot operation
GDPR: by design

What we deliver

From the first use case to stable operation.

We connect infrastructure, model knowledge, and clean handover to your team. This creates not just a demo, but a system that stands the test of everyday work.

Strategy & Use Cases

We prioritize use cases by benefit, risk, and data availability, and translate them into a reliable technical roadmap.

Local Infrastructure

Hardware selection, model serving, access concepts, monitoring, and backup are set up to fit your network.

Model Adaptation

RAG, fine-tuning, prompt standards, and evaluation ensure that AI works with your documents and processes.

Operations & Enablement

We train admins and users, document decisions, and support updates, security, and ongoing optimization.

Process

A clear path to productive use.

We start small and fast. Then we scale along real usage.

Analysis
Data, systems, compliance requirements, and first use cases are sorted together.
Pilot
A local AI system is tested with real use cases and clear success criteria.
Rollout
Operational processes are cleanly integrated into everyday work through training.

Benefits

More control, less friction.

Sensitive data stays in your network and under your governance.
Costs become more predictable because fixed prices are used instead of token-based billing.
Shadow AI is prevented because attractive and low-threshold alternatives are available.
Your team gets knowledge, documentation, and tools instead of black-box dependency.

Contact

Ready for the next step with local AI?

Plan your entry – now without obligation.

Prof. Dr. Ansgar Gerlicher Professor of Computer Science at Hochschule der Medien, Stuttgart

Prof. Dr. Thomas Fankhauser Professor of Computer Science at Hochschule Heilbronn

Email hello@localaiz.me