Artificial Intelligence (AI) is one of the most important innovation topics
However, many companies lack a secure framework for its deployment. How can AI be used in a data protection-compliant, controllable, and auditable manner without losing control over sensitive data?
Public cloud AI services, in particular, increase the pressure: data leaks, unclear processing chains, and unresolved compliance issues often conflict with governance and security requirements.
Key challenges and how we solve them
What we do
We enable the deployment of powerful AI models on local or dedicated infrastructure – in your data center or our private cloud. This allows you to retain full control over your data while simultaneously leveraging modern AI technologies productively.
Detailed scope
of services
Strategy & Proof of Concept
- Evaluate use cases, refine ROI, and implement proof of concept
- Consulting on LLM, ML, and RAG, as well as compliance and data protection
Plattform & GPU
- GPU infrastructure on-premises or private cloud
- Local serving stacks, e.g., Ollama or vLLM – with security and network integration
Applications
- Deploy open-source LLMs, e.g., Llama or Mistral
- RAG for enterprise knowledge, process integration, and AI-powered assistance solutions
Managed operation
- Operation and monitoring including performance tuning
- Updates and lifecycle management as well as access control and security
What makes our Local AI so special?
We enable AI under your control: with local or dedicated infrastructure, you retain data sovereignty. Model, GPU platform, and operation come from a single source – based on open source instead of licensing costs. This allows us to pragmatically move use cases from PoC to rollout and create a solution that functions reliably even in sensitive and regulated environments.
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