senn-techEnterprise App Vibecoding
Complete business applications, AI-assisted and built fast — BI dashboards, SQL queries, calculators, mobile data capture, e-commerce with Medusa & Stripe, workflow automation with n8n.
Engineering studio · Kufstein, Tyrol
AI-native software. Own GPUs. Tyrolean engineering.
Mag. (FH) Management & Law, 15+ years in IT, built a family business from 2 to 100 employees and €100K to €45M in revenue. From Tyrol for 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 — plus process automation, MSSQL reporting and ERP interfaces.
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 application to model to infrastructure — experience from SMEs to enterprises, all from one hand.
✓
BI & Processes
SQL, MSSQL reporting, dashboards and workflow automation with n8n — data analysis that drives real decisions, not just produces charts.
✓
Management & Law
Mag. (FH) Management & Law — I understand procurement, compliance and risk not just technically, but commercially and legally.
✓
Scaling from experience
I built a company from 2 to 100 employees and from €100K to €45M in revenue — I know what growth means and which systems it takes.
✓
A direct contact
You talk to the person who builds — no sales funnel, no ticket ping-pong.
Who builds this
IT engineer with a business foundation.
Mag. (FH) Management & Law, 15+ years in IT. I helped build a family business from 2 to 100 employees and from €100K to €45M in revenue. Today I build for SMEs what I would have needed myself: clean software, real automation and AI infrastructure that works — no vendor lock-in, no buzzwords.
15+years in IT
2→100employees
€45Mrevenue
20+projects
15+years in IT
On-premRTX 5090 inference
2→100employees scaled
€100K→45Mrevenue built
GDPRcompliant, on-premise
20+projects delivered
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
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.
Let's build your project.
From an enterprise app to your own LLM cluster — tell me what you have in mind.
Get in touchVon der Idee in den Betrieb
01
Idee
Workshop, Scope, DSGVO-Architektur auf eigener Hardware.
02
Prototyp
KI-natives MVP — Retrieval, Agenten, UI — in Tagen statt Monaten.
03
Produktiv
Hochverfügbar ausgerollt, überwacht, dein Team übernimmt.
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.
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