senn-tech02 · LLM
Corporate LLM Stack
Every request to OpenAI or Azure sends your company data out of house — legally delicate and, for sensitive documents, often simply not an option. Cloud AI also means recurring per-token costs and dependence on a US provider.
Your own language models on your own hardware. No data sent to external APIs — inference, RAG and voice run under your control, GDPR-compliant.
- ›On-prem inference on RTX 5090 with vLLM, Ollama, llama.cpp
- ›RAG over your documents with Qdrant & OpenWebUI
- ›Voice agents for the phone with Pipecat & Asterisk
- ›Automation & agent workflows, integrated into your systems
vLLMOllamallama.cppQdrantOpenWebUIPipecat
Who it's for
Companies with sensitive data, compliance requirements (GDPR, NIS2) or high AI volume that want to use AI without giving up control of their data.
Frequently asked
- Do I need my own GPUs?
- Not necessarily — inference can run on your own hardware or on dedicated GPUs in an EU data centre. What matters is that the data stays under your control.
- Is this really GDPR-compliant?
- Yes. Models, inference and RAG run on hardware you control, inside the EU. No data goes to external APIs.
- How good are local models compared to GPT?
- For most business cases — RAG over your own documents, classification, extraction, voice — current open models are more than sufficient. We pick the model to fit the use case.