Going AI-first at Wunderflats also means building a stronger foundation for the team behind our mission: enabling people to live and work wherever they choose. One important part of this: how we handle data itself. With Steep, we make sure all our teams get the same answer to the same question, not two different ones depending on who asked. It’s one piece of a bigger commitment: using AI to give every team at Wunderflats, at every level of AI literacy, the tools to do their best work for tenants and landlords.
Say hello to Wunderflats, Germany's No. 1 platform for temporary furnished housing, and the newest company running on Steep. Berlin-based Wunderflats connects tenants and landlords for furnished stays of a month or more, across Germany and a growing number of European cities. Behind it: a small data team, around 600 dbt models in BigQuery, and 150 people across the business who need answers from that data. Earlier this year Wunderflats made a call a lot of companies are debating right now. They didn't renew Tableau and connected Claude straight to BigQuery instead, going AI-first without a semantic layer in between. As Manu Kumar, Senior Data Engineer at Wunderflats, put it: "We didn't have one definition of anything. Ask the same question twice and Claude could give you two different answers, because it was writing new SQL from scratch every time. And as we invest more in agentic development, one set of definitions goes from good to have to necessary." The team benchmarked it themselves: with a semantic layer in between, the same questions took 80 to 90 percent fewer tokens. Wunderflats is now rolling out Steep as the governed layer between BigQuery and Claude. Every metric is defined once, in code, so all 150 people get the same governed answer. Behdad Nayebi, Business Intelligence Lead at Wunderflats, describes it as "much better than Claude Artifacts. Easier to share, easier to maintain." Welcome, Wunderflats.