Insights Operating System
From research data to decision-ready insights.
Cauliflower structures complex research data from SPSS, Excel, CSV, APIs and verbatims, connecting analysis, dashboards, text analysis, AI and reporting in one transparent research model.
Used by research teams at
EU-hosted · GDPR-compliant · On-premise available
Start straight from structured data
The Cauliflower research model structures your dataset automatically and understands how it fits together – including questions, scales, weighting, metrics and segments.
Research model Understand results and take them further
Analyse your results in the dashboard. Edit content yourself or have data-based titles, descriptions and comments generated. With the agent, you ask your data questions and build new visualisations.
“Show purchase intent by segment.”Carry insights into the organisation
Share your interactive dashboard by link, or export your results as an editable PowerPoint deck.
A concrete example
One question, one checkable result, one slide.
Packaging concept test – example study 2026
F7_2 · Purchase intent (top 2) · concept comparison
Where the figure comes from
62 %+9 pp
- Base
- n=1,204 · weighted
- Filter
- Market DE · buyers 12 m.
- Significance
- vs. concept A · p<0.05
- Data source
- Concept test 2026
Every figure stays traceable to its base, comparison and filters.
Export to PowerPointPPTX
Product demo
See Cauliflower in action
A few minutes on how research data becomes decision-ready insight – dashboards, answers and reports from one research model.
The problem
Your data is finished. The usable output is not.
Between a finished dataset and what colleagues actually use sits manual work: rebuilding charts, copying numbers across, chasing every correction. That part costs the time – not the fieldwork.
- Rebuild charts in Excel
- Copy numbers into PowerPoint
- Every correction: a new version
- Re-check bases and weighting
- Next wave: start over
The work starts once the data is done.
Study structure
Analysis logic
Research objects
The research model
One research model. Every output.
Cauliflower turns raw study data into a shared research model. So dashboards, AI answers, text analysis and reports all work from the same source of truth.
Research model
- Questions
- Waves
- Brands / entities
- Metrics
- Segments
- Open answers
Research-aware
Understands waves, weights, base sizes, significance, matrix structures and open answers.
Flexible
Adapt dashboards, filters, comparisons, comments and AI questions to every study.
Governed
Turn exploration into reusable organizational knowledge – with roles, shared context and traceable outputs.
Methodological traceability
Every figure carries its origin.
Base, weighting, filters and significance are part of the model – not a footnote someone adds later.
“Research data is not complex because of its size. It is complex because of its methodology.”
Product principle · Cauliflower
Structure, not columns
Item batteries, questionnaire routing, weighting, bases, subsamples and changing data structures are read as structure – even though every ad-hoc study is built differently.
Traceable and controlled
Answers, charts, comments and exports lead back to the underlying data. Roles and permissions govern who may view, edit and share.
Processed in the EU
Operated in European data centres, built in Hamburg. Enterprise options: SSO, a dedicated tenant and a data processing agreement.
How it works
From finished dataset to usable output.
Understand the dataset
Upload SPSS, Excel or CSV. Cauliflower reads questions, waves, segments and open ends as one connected structure.
Check analysis and control values
Bases, weighting, filters and significance stay visible – you can see what a number rests on before you pass it on.
Produce dashboard and editable PowerPoint
One model, two outputs: a shareable dashboard for review and a PowerPoint you can keep editing.
Share and reuse
Distribute internally, and use the same structure on the next run instead of rebuilding it.
Use cases
From days to minutes.
Automate the most time-consuming workflows in research analysis and reporting.
Ad-hoc studies
Every study brings a different structure – different questionnaires, scales and segments. Cauliflower reads the dataset as it comes, and you work with the analysis, dashboard and slides straight away instead of building them first.
Open ends
Code, structure and summarize thousands of open answers into aspects, sentiment and explanations.
Reporting
Turn dashboards into presentation-ready PowerPoint with native, editable charts.
The platform
Analyze, explain, share.
Analyze
Dashboards, tracking and benchmarks across brands, waves, markets and segments – with research methods built in.
Explain
Text analysis, an in-context AI assistant and Smart Captions turn open ends and charts into clear narrative.
Share
Native, editable PowerPoint export, public links and governed access with roles, branding and EU hosting.
What you achieve
Less analytical effort. More reliable guidance.
You understand what truly drives your KPIs.
Cauliflower prioritizes influencing factors using Shapley values and Kruskal-Wallis tests according to their statistical impact – not according to how frequently something was mentioned.
You reclaim weeks of analyst time.
Automatic structuring and coding turn days of manual analysis into just a few minutes; one customer reduced the effort required for text analysis by a factor of 100.
Your decisions withstand critical scrutiny.
Cauliflower takes significance, base sizes, weighting and low-base warnings into account – visibly, at the figure itself.
Individual analyses become organizational knowledge.
Cauliflower connects closed-ended and open-ended study data in a shared Research Model – instead of allowing insights to be lost in isolated dashboards, text analyses and standalone solutions.
Organizational knowledge
AI generates answers. Cauliflower creates organizational knowledge.
From individual analyses to knowledge used across the entire organization.
Generic AI answers a question – but context, definitions and insights are often lost in the next project. Cauliflower transforms exploration into traceable, shared and reusable knowledge that teams can review again, develop further and apply to new questions.
Every company learns. The great ones remember.
Customers
Trusted by leading research teams in Europe.
Built in Hamburg. For European data. Supported by international partners.
“Cauliflower helps us structure large volumes of public customer data and better understand the customer perspective across our locations.”
“Cauliflower reduced the time required for our text analyses by a factor of 100. What used to take weeks now takes hours.”
“Cauliflower accelerates our workflows noticeably. Open answers and feedback reach our decision processes much faster.”
Backed by leading cloud & AI partners
Pricing
Start small. Scale with your studies.
Core platform features are included in every plan. Viewers are always unlimited; plans differ in editors, data volume and agent budget.
Duo
€79
per month · up to 2 editors
For one or two people, with the full analysis platform.
Team
€239
per month · up to 5 editors
Your own logos in shared dashboards and unlimited PPTX masters.
Agency & Company Enterprise
From €1,990
per month · annual contract
Unlimited editors and a custom roles and permissions model.
Also available: Business at €599 per month for up to 10 editors. All prices exclude VAT, annual billing; viewers are always unlimited.
Frequently asked questions
What research teams ask most often.
What is an Insights Operating System?
An Insights Operating System connects study data, research methodology, analysis and the preparation of results in a shared platform. Cauliflower structures closed-ended and open-ended responses in a Research Model that generates dashboards, text analyses, driver analyses, reports and responses from the Cauliflower Agent.
Which data formats can I upload?
You can upload SPSS, Excel and CSV files, among others, and connect data through APIs. Open-ended responses and separate verbatim datasets can also be processed together with quantitative study data.
Does Cauliflower analyze closed-ended questions as well, or only open-ended responses?
Cauliflower analyzes both closed-ended questions and open-ended responses. The platform takes scales, matrix questions, item batteries, target groups, waves, weightings, base sizes and significance into account, among other factors.
How does Cauliflower differ from BI tools or generic LLMs?
Cauliflower was developed specifically for professional market research and understands the structure and methodology of study data. Unlike conventional BI tools or generic LLMs, the platform connects quantitative and qualitative analyses in a traceable Research Model.
Is Cauliflower GDPR-compliant?
Yes, Cauliflower is GDPR-compliant and hosted in the European Union. The platform is designed to process sensitive research and survey data within a controlled European infrastructure.
Who is Cauliflower designed for?
Cauliflower is designed for Corporate Insights, CX and UX research teams, as well as market research institutes and agencies. The platform supports teams that want to analyze studies efficiently, prepare results transparently and make research knowledge reusable.
How quickly can I obtain results, and can I export them to PowerPoint?
After upload, Cauliflower automatically structures the dataset and prepares it for analysis. The results can then be presented in dashboards and exported as editable PowerPoint reports.
Bring a typical reporting workflow.
Upload
Upload SPSS, Excel, CSV or verbatims.
Structure
Cauliflower structures your dataset into a research-ready workspace.
Result
Dashboard and editable PowerPoint from the same model.
In 45 minutes we establish whether Cauliflower is a sensible standard for it.