Cauliflower - 2026 Pricing, Features, Reviews & Alternatives

Cauliflower – AI-Powered Text Analytics for Market Research and Customer Experience Teams

Cauliflower is an advanced AI-powered platform designed to transform unstructured text into structured insights. It helps market research, customer experience (CX), UX, and product teams extract value from open-ended survey responses, online reviews, and qualitative feedback—quickly, consistently, and at scale.

Built with large language models (LLMs), Cauliflower automates the analysis of free-text data, eliminating the need for manual coding or basic word clouds. Users gain immediate insights into customer sentiment, key topics, and performance drivers—without compromising on quality, transparency, or flexibility.

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Key Features

• Topic Detection (AI-Powered): Automatically clusters and labels recurring themes in open text. Labels can be manually edited to fit study context and client language.

• Sentiment Analysis: Evaluates sentiment at topic and statement level using advanced LLMs, enabling nuanced insights across multiple dimensions (positive, neutral, negative).

• Driver Analysis: Uses explainable machine learning (e.g., SHAP values) to identify which topics most strongly influence KPIs like NPS, CSAT, trust, or purchase intent. Includes significance filtering and text summary generation.

• Multilingual Support: Native handling of over 100 languages, with automatic translation options for integrated analysis of multilingual datasets.

• Flexible Data Inputs: Supports CSV, XLSX, SAV, and API-based data ingestion from survey platforms, review platforms (e.g., Google, Trustpilot), or CRM pipelines.

• Interactive Dashboards: Explore key topics, sentiment trends, and driver models via visual dashboards. Filter by metadata, highlight segments, compare over time.

• Text Summarization: Includes both extractive and generative summaries for each topic—useful for reporting, storytelling, or dashboard copy.

• Export Options: Full support for exporting single charts, filtered views, or complete datasets. Output formats include Excel, PPT, PDF, and JSON—customized to match MR deliverable standards.

Integrations & API Access

Cauliflower is built to fit into existing data workflows:

API-first Architecture: Allows developers and data teams to submit, analyze, and retrieve data and insights programmatically.

Security & Compliance

Security and data protection are central to Cauliflower’s architecture:

• GDPR-Compliant Hosting: All data is processed and stored in the EU using ISO 27001-certified infrastructure (AWS, Azure, or GCP).

• Access Controls: Role-based user management with audit logs.

• No Vendor Lock-In: Clients can export their full data and insights at any time.

Use Cases

Cauliflower is used across sectors—from FMCG to retail, healthcare to software—for both ad hoc and tracking studies. Common applications include:

• Open-text survey analysis (e.g. likes/dislikes, brand associations)

• Review mining for CX monitoring and benchmarking

• Brand and ad concept testing

• UX studies with qualitative feedback

• Longitudinal tracking of sentiment and themes

• Multilingual survey harmonization

Pricing

Plans are designed for individual researchers, research agencies, and enterprise clients alike:

• Solo Plan: Starts at €125/month

• Team Plans: From €62.50/seat (min. 3 seats)

• Enterprise/API: Custom pricing for integrated or high-volume use cases

Annual billing options include discounts, and all plans come with generous credit allowances and no automatic credit expiry.

Why Cauliflower?

Cauliflower offers the speed and scale of automation with the transparency and flexibility required by professional research teams. It reduces manual workload, enhances insight quality, and fits seamlessly into existing workflows. Whether you analyze 1,000 responses or 1 million, Cauliflower helps you turn qualitative data into actionable decisions—faster, deeper, and more reliably.