Cauliflower is an AI-native insights platform built specifically for market research teams and insights agencies. It brings survey data preparation, quantitative analysis, open-ended text analytics, dashboards, AI-supported exploration, and PowerPoint reporting into one connected workflow. Instead of moving between SPSS, Excel, separate text analytics tools, BI dashboards, and presentation software, teams can prepare, analyze, explore, visualize, and deliver insights in one place. After importing SPSS or CSV files, the platform interprets the dataset semantically. It detects question types such as single choice, multiple choice, open-ended questions, scales, and matrix batteries; identifies demographic and weighting variables; generates item labels and question texts; and organizes the study into logical sections. This helps research teams move from raw data to usable analysis faster while keeping the underlying dataset intact. For open-ended responses, Cauliflower automatically codes verbatims with its proprietary in-house clustering model. It supports sentiment analysis, AI-generated summaries, editable codebooks, and bring-your-own codebooks. A flexible knowledge layer sits on top of the raw data, so teams can adapt aspects, aspect categories, labels, and interpretation structures without changing the original dataset. For quantitative research, Cauliflower supports cross-tabulation, table books, weighting, automatic base and sample handling, significance testing, and advanced methods such as driver analysis. Researchers can build dashboards with classic chart types and research-specific visualizations for NPS, tracking studies, brand performance, comparisons, trend analysis, and stakeholder reporting. Flexible filters, preconfigured filter options, variants, and smart search make it easier to explore complex studies across questions, segments, markets, brands, and waves. The built-in AI Agent lets users ask questions in natural language, generate charts, create dashboard views, and refine titles, comments, and summaries across visualizations. Instead of producing isolated AI outputs, Cauliflower connects AI-supported work directly to the structured research project and dashboard environment. When it is time to deliver results, Cauliflower exports native PowerPoint charts using the customer's own master template. Results can also be exported as CSV, Excel, PNG, and PDF files, so teams retain control over their data, reporting, and outputs. Cauliflower is designed for professional market research, not repurposed BI. It is EU-hosted, built for GDPR-compliant workflows, and supports enterprise requirements such as SSO, on-premise deployment, private cloud options, and bring-your-own LLM credentials. Core European languages are supported, with additional languages available on request. Pricing is seat-based and includes AI credits. Text analytics plans start at €19 per seat per month. Full platform plans for research analytics, dashboards, imports, exports, and reporting start at €49 per seat per month. Viewer licenses are free, and a 14-day free trial is available without a credit card. Founded in 2019 in Hamburg, Germany, Cauliflower is trusted by enterprises and research agencies across Europe, including Tchibo, XING, and ECE.