Most founders want to build the thing you brag about at dinner. Matthias Depenbusch built the thing the hotel purchasing manager dreams about at 2 a.m. - a system that knows, before you do, exactly how many cases of wine to order for next Tuesday.
Start with AVISIO, because that is where the obsession reached full bloom. From a base in Vienna, Depenbusch and co-founder Johannes Ossanna built a SaaS platform with a deceptively narrow mission: lower the cost of goods sold for independent four- and five-star hotels and restaurants. Not the flashy properties owned by global chains with armies of analysts. The boutique luxury places - too small for clunky enterprise procurement software, too complex to keep running on a manager's gut and a stack of spreadsheets.
The product idea was elegant in the way good infrastructure is elegant: invisible until it saves you. AVISIO plugged into a property's existing point-of-sale and property-management systems, read the booking calendar, and turned that demand signal into AI-based purchasing suggestions. How full is the hotel next weekend? How many covers is the restaurant likely to do? Then: order this much, no more, no less. Automate the inventory counts. Kill the over-ordering that rots in walk-in fridges and the under-ordering that embarrasses a kitchen mid-service.
It read tomorrow's bookings and told the kitchen exactly how much to buy today. That was the whole magic - and it was harder than it sounds.
— The AVISIO premise, in one line
Hospitality runs on margins thinner than a room-service napkin, and the single biggest controllable cost in any food-and-beverage operation is what you buy. Labor is regulated. Rent is fixed. But purchasing? Purchasing is where a chef's instinct quietly bleeds money. Depenbusch's bet was that instinct could be beaten by a model that never forgets a holiday weekend, never panics, and never orders an extra crate "just in case."
How AVISIO Actually Worked
Strip away the pitch deck and the machine was a clean four-step loop. The cleverness was not any single step - it was wiring them together into systems that hotels already owned but never talked to each other.
It was procurement and inventory management dressed up as a quiet revolution. The judges noticed. In October 2020, at the hotelforum conference in Munich, AVISIO took home the inaugural Hospitality UPGRADE Award, edging out four other finalists drawn from 31 applicants across nine countries. The official line from the jury was about the cost-saving benefit. The unofficial line was about the man at the microphone.
AVISIO impressed the jury with a commanding presentation and convincing answers.
— Hospitality UPGRADE Award 2020, jury verdict
Before the Hotels, the Opinions
Depenbusch did not arrive at hospitality software by accident. He arrived by way of Appinio, the Hamburg company he co-founded in 2014 after building an early mobile app in 2013 that picked a fight with the entire traditional market-research industry.
Appinio's premise rhymes with AVISIO's, once you squint. Both are about replacing slow, expensive guesswork with fast, cheap data. Where old-school market research meant weeks and consultants, Appinio pushed surveys to a panel through a phone app and returned thousands of completed responses in minutes, at a fraction of the usual cost. One company asked, in real time, what do people think? The next asked, in real time, how much should you buy? Same instinct, different stockroom.
The market noticed that one, too. Appinio landed 8th in the Deloitte Technology Fast 50 ranking of Germany's fastest-growing tech firms and turned up at #126 on the Financial Times 1000 list of Europe's fastest-growing companies. For a founder still early in his career, that is a serious calling card - proof that the instinct travels.
An early mobile app that challenged the old consumer market-research playbook.
Appinio ranked among Europe's fastest-growing companies.
Founded in Vienna on Dec 15 with co-founder Johannes Ossanna.
A Passport Full of Campuses
You do not get to plug American business-school thinking into an Austrian hotel kitchen without collecting a few stamps. Depenbusch's education reads like a frequent-flyer itinerary: a bachelor's from FH Nordakademie in Elmshorn, a Master of Science in Management and Entrepreneurship from WHU - Otto Beisheim School of Management, an MBA from the University of South Carolina, a certification from Georgetown University, and study time at the University of California, Riverside.
WHU, in particular, is a quiet engine of German founders, and Depenbusch belongs to that lineage. The AVISIO chapter even included a joint US/EU accelerator run by Georgetown's McDonough School of Business and the University of Genoa - four weeks in the Italian port city alongside two dozen other international startups, the kind of pressure-cooker that either bonds a founder to their idea or breaks the idea open.
The Part Founders Don't Frame
Here is where the story refuses to flatter. In 2023, AVISIO filed for insolvency and ceased operations. The reason was not a broken product or a vanished market - it was the oldest startup killer there is: the follow-on money dried up. In a frozen investment climate, despite intensive effort, the financing needed to keep scaling could not be secured. The company wound down.
The footnote is almost too tidy: the avisio.ai domain later surfaced as a listing, priced at $50,000 - a small, strange epitaph for an idea that won awards and changed how a slice of the hospitality world thought about its own stockrooms. The platform is gone. The premise - that hotels should buy by data, not by dread - is not.
The platform is gone. The idea that hotels should order by data, not by dread, is not.
— On what AVISIO leaves behind
What you are left with is a portrait of a particular kind of founder - one drawn, twice over, to problems that live in the back office rather than the headline. Consumer opinion. Hotel inventory. Neither is glamorous. Both are expensive. And Matthias Depenbusch keeps showing up where the money quietly leaks, armed with the same belief: that the right data, read at the right moment, beats a lifetime of educated guessing.