senn-techEnterprise applications
Business software that grows out of the actual need rather than a spec document: calculators, mobile data capture, ERP integration, automated workflows. Iterative with your team, in use early.
Engineering studio · Kufstein, Tyrol
On-prem, cloud and AI — your IT from one source, from Kufstein, Tyrol.
Applications, infrastructure and language models — on your own hardware, in the cloud, or a mix of both, whichever adds up. From Kufstein, for mid-sized companies: one contact from the first sketch to production, and an honest assessment before any budget moves.
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Six disciplines, one stack.
Websites & online shops
Company site, landing page or shop — built, not clicked together: multilingual, fast, no plugin sprawl, and an editing system your people can actually operate. This site is the working example.
BI, data lake & SQL
Figures from ERP, shop and accounting in one place: SQL servers, ETL pipelines and dashboards that are already right first thing in the morning. From a KPI cockpit to customer analysis.
Corporate LLM stack
Language models in your own building: inference, RAG over your documents, agents and document processing. Not a single token leaves your network — not even for analytics.
Infrastructure & operations
The foundation all of it runs on: Proxmox clusters, high-availability storage, firewalling, monitoring and mail. Planned, built and looked after — including when something fails at night.
SEO & GEO
Getting found — on Google and inside AI answers. Technical SEO, structured data and content, plus our own rank tracking instead of an agency report. GEO means ChatGPT and Perplexity should cite you too.
Why senn-tech
No sales layer, no slide deck — delivery.
✓
On your own hardware — or in the cloud
Language models can run on GPUs in-house, so no document ever leaves your network. Where your own hardware is out of budget, the same build runs on rented GPU capacity inside the EU.
✓
One contact
You talk to the person who builds it. No sales layer in between, no handover to a team that lacks the context.
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From application to operations
Application, model and operations come from the same hand — exactly where projects usually break at the seams.
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Costed like a business
Twenty years in IT plus a commercial background: before we start, you get the number at which the project pays for itself.
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Forward-deployed AI engineering — with model freedom
The engineer sits inside your operation, not in a sales org: AI is deployed straight into your processes and evolved there. And the models stay yours to choose — swappable behind a gateway without users noticing a thing. No vendor lock-in.
✓
Honest about no
If a process fix is cheaper than AI, that is what the proposal says. A project that does not pay off helps neither of us.
15+years in IT
On-preminference on our own GPUs
99.9 %availability target in HA clusters
GDPRcompliant, no external API
20+projects delivered
1contact, start to finish
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 the in-house AI server in Kufstein — no external provider, nothing shared. The same setup can sit in your building.
Responses are generated by a language model and may be wrong.
How we work
From idea to something in production.
01
Conversation & analysis
We clarify the goal, the data and the constraints — and whether AI is the right lever at all. About an hour, no obligation.
02
Prototype
Something running you can actually use, instead of a concept paper. You see early whether the direction is right.
03
Production
Built cleanly, secured, monitored — on your infrastructure or ours. And we stay reachable afterwards.
FAQ
Frequent questions.
Does our data really stay in-house?+
Yes. On request the entire inference runs on-premise on our own hardware — nothing leaves for an external API, telemetry included.
Do you work with smaller companies too?+
Yes, from sole proprietors to mid-sized firms. The scope follows your size and budget rather than a standard package.
What does a project cost?+
It depends on scope. After a short first call you get a realistic range and the assumptions behind it — no sales pressure.
Can you integrate existing systems?+
Usually yes. ERP, databases and existing tools get connected rather than replaced — that is normally the cheaper route.
What if AI doesn't make sense for our problem?+
Then we say so. Often classic automation or a process fix is faster, cheaper and more robust.
Would we then depend on you?+
Everything is handed over documented and runs on standard components others can keep operating. Nothing is built to depend on one person.
Tell us what you have in mind.
One short call is enough to work out whether it pays off — and what the sensible next step would be.
Get in touch