Datahouse
Zurich, Switzerland
About
Datahouse is a Zurich data-science and software firm (an ETH Zurich spin-off) building custom machine learning and data solutions for real estate, finance and insurance clients.
Who They Work With
Swiss insurers, banks and property analytics teams wanting a small data-science team that publishes its methods.
Based on 4 documented clients · verified Aug 2026
Our Take
Five published client stories cover Vaudoise, Globalance Bank, Wüest Appraisal and an anonymized psychiatric-assessment digitization, but only one describes AI work in any technical depth.
The strongest technical writing sits in the blog rather than the case library: a transfer-learning build on MobileNet sorting real-estate images into eleven categories at 85% accuracy, published with a public test tool—genuine method, but dated 2021 and not attached to a named client engagement.
Best for buyers in Swiss insurance, banking or real-estate analytics who want a small ETH-descended data-science team and are comfortable assessing capability from method writing rather than from outcome metrics.
Key strengths
- Named clients include Zürcher Kantonalbank, Scout24 Schweiz and Vaudoise—substantial institutions for a team of this size
- Hedonic property valuation work for Wüest Appraisal sits in a genuinely quantitative niche
- Publishes its methods openly, including a working public demo of the image-classification model
Good to know
- Ask what has shipped since 2021—the most technical published AI work is now several years old
- Most case studies describe data and software delivery rather than machine learning; confirm which your project would be
- A ten-to-fifty person team means key-person exposure—ask who specifically would do the modeling
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · Aug 7, 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
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