senn-techEnterprise App Vibecoding
Complete business applications, AI-assisted and built fast — calculators, mobile data capture, time tracking, shops with Medusa & Stripe.
Engineering studio · Kufstein, Tyrol
AI-native software. Own GPUs. Tyrolean engineering.
From Tyrol for German-speaking SMEs: enterprise applications, corporate LLM stacks on our own hardware (GDPR-compliant) and IT solutions — from idea to production.
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Three disciplines, one stack.
Corporate LLM Stack
Your own language models on your own hardware: vLLM, Ollama, RAG with Qdrant, voice agents. Your data never leaves the building.
General IT Solutions
High-availability infrastructure, security and operations: Proxmox, HA storage, firewalling, monitoring and mail — set up cleanly and maintained.
Why senn-tech
No sales layer, no buzzword bingo — just delivery.
✓
On your own hardware
On-prem LLMs on our own GPUs — your data stays in-house, GDPR-compliant.
✓
15+ years in IT
From the application to the model to the infrastructure — experience from SMEs to enterprises, all from one hand.
✓
Full-stack
App development, LLM stack and operations mesh together instead of failing at the seams.
✓
A direct contact
You talk to the person who builds — no sales funnel, no ticket ping-pong.
✓
Technology-neutral
The right tool for your problem, no vendor lock-in.
✓
Honest & measurable
Concrete results over strategy papers — and a clear no when AI isn't the answer.
15+years in IT
On-premRTX 5090 inference
HAinfrastructure & storage
GDPRcompliant, on-premise
From idea to production
01
Idea
Workshop, scope and GDPR architecture — designed for your own hardware from day one.
02
Prototype
An AI-native MVP — retrieval, agents, UI — in days, not months.
03
In production
Rolled out highly-available, monitored and documented — your team takes over.
How RAG works
Sourced answers — live from your data.
Retrieval-Augmented Generation couples the language model to your real documents: no hallucinations, traceable answers.
- 01The query is embedded as a vector
- 02The vector database finds the most relevant passages
- 03The hits go to the LLM as context
- 04The answer is generated — grounded in the sources
QueryVector DBLLM
Live demo
Talk to the stack.
This chat runs on our own in-house AI server — GDPR-compliant, EU-hosted. Ask about my services.
Responses are generated by a language model and may be wrong.
How we work
From idea to production.
01
Talk & analysis
We clarify goal, data and scope — and whether AI is even the right lever.
02
Prototype
A working proof of concept you can touch, fast — not a months-long concept paper.
03
Production
Built cleanly, secured and operated — on your infrastructure or ours.
Field notes
From the workshop — worth reading before you ask.
Three articles that show how we actually work — past the sales slide.
FAQ
Frequent questions.
Does our data really stay in-house?+
Yes. On request the entire LLM inference runs on-premise on our own hardware — no data sent to external APIs.
Do you work with smaller companies too?+
Yes, from sole proprietors to mid-sized firms. Solutions are tailored to size and budget.
What does a project cost?+
It depends on scope. After a short first call you get an honest estimate — no sales pressure.
Can you integrate existing systems?+
Usually yes. We integrate with your existing tools, databases and workflows rather than replacing them.
What if AI doesn't make sense for our problem?+
Then we say so. Sometimes classic automation or a process fix is the better solution.
Let's build your project.
From an enterprise app to your own LLM cluster — tell me what you have in mind.
Get in touch