Local AI Infrastructure

We implement fully local AI systems for your organization – GDPR-compliant, without cloud dependency and with maximum data sovereignty. From AI chat to code assistance to audio and video analysis.

100% Local GDPR-Compliant Ollama / LLM Open Source GPU-Acceleration Private Cloud

AI Solutions for Every Need

Modern AI models, securely operated within your infrastructure.

AI Chat & Assistance

Local language models (LLMs) like Llama, Mistral, or Phi-3 as an internal knowledge base and assistance system for your team – without any external data sharing.

Code Assistance

AI-powered programming support with local models (Codestral, DeepSeek Coder). Integration with VS Code, JetBrains, and other development environments.

Audio Analysis & Transcription

Local speech recognition and transcription with Whisper. Meeting minutes, voicemail transcription, multilingual processing – all on your server.

Video Analysis

Local video analysis for content recognition, automatic tagging, facial recognition (GDPR-compliant), and quality inspection in production processes.

RAG Systems & Knowledge Bases

Retrieval-Augmented Generation (RAG) based on your own documents. AI that knows your internal manuals, contracts, and processes and responds with precision.

GDPR & Compliance

All AI systems run exclusively on your hardware. No training data is transmitted, no API call leaves your network. Fully auditable.

Cutting-edge models, fully offline

We use leading open-source AI models and operate them within your own infrastructure. From GPU selection to API integration, we handle the complete setup.

Ollama, LM Studio, or vLLM as inference engine
GPU-optimized: NVIDIA, AMD, or Apple Silicon
OpenAI-compatible API – seamless integration
Open WebUI, AnythingLLM, or custom frontend
Model selection as needed: Llama 3, Mistral, Phi, Gemma
Monitoring, updates, and model changes included
Input Layer 1 Layer 2 Output

How We Bring AI to You

01

Needs Analysis & Hardware Planning

We analyze your specific requirements and plan the appropriate hardware configuration – from mini PC to GPU server, depending on model size and usage intensity.

02

Installation & Model Deployment

We install the inference engine, models, and frontend interface. Configuration of network access, user roles, and access management.

03

Fine-Tuning & RAG Integration

Integration of your documents and data into the RAG system, prompt tuning for your specific use cases, integration with existing tools.

04

Training & Handover

Onboarding your team, documentation of all systems, handover of admin credentials. You are fully independent afterwards – but we remain available.

05

Ongoing Support & Model Updates

Regular updates to newer model versions, monitoring of system performance, expansion with new features on request.

Ready for your own AI infrastructure?

Let us find out together which AI solution best fits your organization. Free initial consultation, no obligations.