Customers
Trusted by research teams turning complex data into decisions.
Built in Hamburg. For European data. Used by teams across market research, customer experience and consumer insights.
The proof
Less manual work. Faster decisions.
Research teams use Cauliflower to reduce manual analysis, structure feedback and move insights into decisions faster.
Public customer reviews structured into aspects and sentiment across hundreds of locations.
Customer experience Read story Open-ended answers coded, clustered and scored for sentiment in hours instead of weeks.
Market research Read story New feedback workflows are supported quickly, so open answers keep reaching decisions in time.
Consumer insights Read story Selected customer stories
Three teams, three kinds of complexity.
A closer look at how research teams put Cauliflower to work — and what changed. Not every team here runs a public story.
Structuring millions of customer signals across locations.
Millions of public reviews across hundreds of locations — far too many to read, and impossible to compare by hand.
Cauliflower structures every review into consistent aspects and sentiment, then rolls them up by location and topic.
A living view of the customer perspective across the portfolio — comparable location to location, month to month.
“With Cauliflower, we structure large volumes of public customer data and gain a clearer understanding of the customer perspective across our locations.”
Christoph OlschowskyHead of Department Research, Data Insights & Analytics · ECE
Staff and cleanliness lead — parking is the one soft spot.
Analyzing, visualizing and presenting market-research data.
Analyzing market-research data, visualizing it clearly and turning it into presentation-ready reports took a lot of manual work in every wave.
Cauliflower analyzes the data, visualizes it in dashboards and charts, and exports it straight into presentation-ready, editable PowerPoint reports.
From raw data to presentation-ready results — in hours instead of weeks.
“With Cauliflower, we analyze market-research data, visualize it and get it into presentation-ready form — in hours instead of weeks.”
Malte PingelHead of Market Research · K&B
Delivery praise leads; price is the one soft spot.
Analyzing open mentions in a structured way.
Open mentions came in large volumes — reviewing and structuring them by hand was laborious and slow.
Cauliflower codes open mentions automatically, clusters them into aspects and makes them comparable in dashboards — with full control over the codebook.
Open mentions are analyzed in a structured way — in minutes instead of days.
“With Cauliflower, we analyze open mentions in a structured way — in minutes instead of days.”
Sarah WagnerHead of UX Research · Xing
Partners & funding
Backed by leading cloud & AI partners.
Built on European infrastructure and supported by the programs advancing AI across the continent.
Built in Hamburg · EU-hosted · GDPR-compliant
Get started
Want to see what Cauliflower can do with your data?
Start with your own dataset, or book a guided walkthrough with our team in Hamburg.