The team behind Kelaria — RAUSCH Technology
AI in production at Vodafone · AI projects with the German Energy Agency (dena) · publicly funded research
Kelaria turns your scattered service and equipment knowledge into a living system — continuously updated by AI agents, curated by your domain experts.
Hardware can be copied. Knowledge can't.
Two developments are hitting mechanical and plant engineering at the same time — and both touch the same asset: the knowledge about your own machines.
Your most experienced service technician can hear a fault in any machine. In three years he retires — and his knowledge is documented nowhere. Who will still know why a particular machine always fails in summer?
Within 18 months a competitor rebuilds the hardware and the price advantage is gone. What remains is the knowledge about your own machines — provided it was made tangible.
No chatbot, no one-off project. A complete Knowledge Studio: an agent-based mechanism that continuously crawls every relevant source, extracts knowledge and makes it usable — through a knowledge graph and RAG. A mechanism that learns a little more every night.
Documents, databases, manuals, equipment data, service tickets — Kelaria keeps pulling in whatever is new.
Specialized agents extract entities, relationships and rules — sharpening the knowledge graph and RAG with every pass.
Overnight, the agents evaluate new equipment data and tickets and present the results to your domain experts. Human-in-the-loop: what counts gets confirmed.
Kelaria delivers answers with source and reasoning — embedded in your systems, not as a standalone app.
Kelaria builds the knowledge, maintains it and activates it — right where the work happens. A little better every night.
Kelaria connects to the systems your knowledge already sits in — via open interfaces and MCP, with no data migration. Whatever is new, the pipeline keeps pulling in.
More systems can be connected via MCP and open APIs — wherever the data lives, we get it connected.
“The AI delivers powerful heating-monitoring capabilities — end customers reduce energy consumption and CO₂ sustainably.”
— Dr. Sebastian Groß, VodafoneThe same mechanism, a different knowledge base — what we learned about heating systems, we're now building for machines and plants.
A living knowledge system pays off not in theory, but at four points in mechanical and plant engineering — which we work out concretely together in the AI-Case-Canvas.
The right answer on the first visit — instead of a second trip.
Diagnosis in minutes instead of hours — the knowledge is instantly available.
The skill of experienced staff is secured before they retire.
New service staff are productive in weeks, not years.
What the mechanism can deliver is documented: at Vodafone, 23% energy savings for the end customer. We calculate the concrete ROI in the AI-Case-Canvas — with your numbers, honestly.
When hardware becomes a commodity, service is the business. A traceable knowledge system turns the service cost factor into new, sellable models.
Fast, reliable diagnosis makes operator and availability models possible — uptime guarantees, pay-per-use. Recurring revenue instead of one-off sales.
The knowledge assistant, embedded in your customer portal: end customers solve issues themselves — monetizable as a premium feature.
New markets, languages, locations — service grows with the knowledge graph, not with the number of your senior technicians.
Every answer with source and reasoning. Only that makes AI usable in liability- and safety-critical service — and defensible in front of the board.
We didn't build this for one industry, but as a mechanism. What we proved in heating transfers — the architecture stays, only the knowledge base is swapped.
Machine data is corporate capital. Through our joint venture Franconia.ai, Kelaria can be operated fully sovereign — in an ISO/IEC 27001-certified German data center in Würzburg, with open-source models, GDPR-compliant and without any forced US cloud. Your data never leaves Germany.
Citations and a reasoning trace on every answer. No black-box chat without evidence.
AI agents evaluate new data and tickets, domain experts confirm — the knowledge grows without any project standstill.
Kelaria docks onto existing AI systems via MCP — ChatGPT, Claude, Langdock & co. No rip-and-replace, no lock-in.
Managed in Frankfurt, in your cloud or on-prem on German open source. Sovereignty is architecture, not a surcharge.
The knowledge foundation behind Kelaria emerges in publicly funded research projects — peer-reviewed, not asserted.
14 months live at Vodafone. We show what's running — not what could run.
“We build AI that actually runs in the industrial mid-market — not on a slide. Kelaria is our Knowledge Studio for industry: the same mechanism we proved in heating, for your machines.”
Engineers and domain people under one roof in Würzburg — the hands that build the knowledge system behind it. No stock photos.
Sketched in 20 minutes: your concrete use case and an honest effort estimate. You invest time, nothing else.
No sales funnel. You receive a use-case sketch you can take forward internally.