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Cauliflower
Hamburg, Germany
What it is
Cauliflower is an Insights Operating System for research teams turning complex study data into dashboards, analysis, explanations, and reports. It accepts SPSS, Excel, and CSV uploads, API connections, verbatims, and reviews. The platform maps questions, waves, weights, base sizes, significance, metrics, segments, and open answers into a shared research model. Analysis includes dashboards, tracking, benchmarks, text analysis, sentiment detection, driver analysis, weighting, and significance tests. Its Insights Agent answers from that model and dashboards, linking responses to source charts, bases, and filters. Teams can share dashboards through protected links or export editable PowerPoint files; custom connectors can connect internal tools and data stacks. Cauliflower is available through web, API, and self-hosted options. Paid plans start at €79/mo (annual), with annual data-point caps and shared token-based monthly agent budgets. The maker says data is hosted in Frankfurt and Dublin, encrypted in transit and at rest, and not used to train foundation models. Enterprise options include SSO, private tenancy, and on-premise deployment.
For and against
For
- Supports SPSS, Excel, CSV, and APIs
- Shared model links answers to sources
- Editable PowerPoint export
- Protected dashboard sharing
- Self-hosted and on-premise options
Against
- Paid plans start at €79/mo (annual)
- Data-point limits vary by plan
- Agent budgets are token-based and can run out
The verdict
Cauliflower connects research data preparation, analysis, AI explanations, and reporting around one model. Its paid tiers and deployment choices cover different team sizes, while usage caps should be reviewed before planning workloads.
Who it suits
It is designed for insight and research teams managing complex studies, tracking waves, open answers, and stakeholder reports. Organizations needing self-hosting or enterprise deployment options may also consider it.
Plans and prices
Duo
up to 2 editors · unlimited viewers · 5M data points per year · up to 100 agent requests per month, token-based
Read 3 Oct 2026 · cauliflower.ai
Team
up to 5 editors · unlimited viewers · 20M data points per year · up to 500 agent requests per month, token-based
Read 3 Oct 2026 · cauliflower.ai
Business
up to 10 editors · unlimited viewers · 60M data points per year · up to 1,500 agent requests per month, token-based
Read 3 Oct 2026 · cauliflower.ai
Agency
unlimited editors and viewers · from 100M data points per year · up to 5,000 agent requests per month, token-based · SSO optional
Read 3 Oct 2026 · cauliflower.ai
Company Enterprise
unlimited editors and viewers · from 100M data points per year · up to 10,000 agent requests per month, token-based · SSO
Read 3 Oct 2026 · cauliflower.ai
On the record
- AI
- The Insights Agent answers from the research model and dashboards, and responses are linked to source charts, bases and filters.cauliflower.ai · read 3 Oct 2026
- AI data handling
- The maker says external AI inference uses Microsoft Azure OpenAI Service in Sweden Central, that research data is not used to train foundation models, and that processing remains in the EU data zone.cauliflower.ai · read 3 Oct 2026
- Analysis
- Features include dashboards, tracking and benchmarks, text analysis, sentiment detection, driver analysis, weighting and significance tests.cauliflower.ai · read 3 Oct 2026
- Audience
- The product is built for insight and research teams working with complex studies, open answers, tracking waves and stakeholder reports.cauliflower.ai · read 3 Oct 2026
- Company
- The maker's legal notice identifies the company as Cauliflower GmbH & Co. KG, located in Hamburg, Germany.cauliflower.ai · read 3 Oct 2026
- Data inputs
- The platform supports SPSS, Excel and CSV uploads, API connections, verbatims and reviews.cauliflower.ai · read 3 Oct 2026
- Enterprise options
- SSO, a private tenant and on-premise deployment are available as enterprise options; the pricing page lists SSO as optional for Agency and included in Company Enterprise.cauliflower.ai · read 3 Oct 2026
- Integrations
- The maker names SPSS, Excel, CSV and APIs as data sources, and says custom connectors can link Cauliflower to data stacks and internal tools.cauliflower.ai · read 3 Oct 2026
- Product
- Cauliflower describes itself as an Insights Operating System that turns complex research data into dashboards, AI-supported explanations and reporting.cauliflower.ai · read 3 Oct 2026
- Reporting
- Users can share dashboards through protected links or export native, editable PowerPoint files.cauliflower.ai · read 3 Oct 2026
- Research model
- It maps study questions, waves, weights, base sizes, significance, metrics, segments and open answers into a shared model used across outputs.cauliflower.ai · read 3 Oct 2026
- Security
- The maker says the platform is hosted in EU data centres in Frankfurt and Dublin, encrypts data at rest and in transit, and offers a data processing agreement.cauliflower.ai · read 3 Oct 2026
- Support
- Support ranges from documentation and email for Duo to dedicated support and an agreed SLA for Company Enterprise.cauliflower.ai · read 3 Oct 2026
- Usage limits
- Plans cap data points per contract year and have shared, token-based monthly agent budgets; the maker says agent request counts are estimates and usage can exhaust the budget earlier.cauliflower.ai · read 3 Oct 2026
