Skimle - 2026 Pricing, Features, Reviews & Alternatives

Skimle is a software that helps analyze interviews, reports, and qualitative data by combining academic rigor using AI. It systematically examines every document to create transparent, editable knowledge structures that professionals can trust and defend. The platform addresses a common challenge faced by consultants, researchers, and analysts.

Skimle streamlines processes through a systematic, three-stage thematic analysis, fully automated with AI. Users can upload and process documents in any format, including text files, PDFs, Word documents, audio, or CSV tables, and Skimle analyzes each one using atomic LLM calls to identify insights and build hierarchical category structures. The intuitive Skimle Table displays documents as rows and themes as columns for text analysis. Users can click any cell to see verbatim quotes and source documents, with two-way transparency that reveals both what the AI found and what it didn’t with highlighted passages showing coded text, while white space indicating uncoded content. Results can be exported into Word reports, PowerPoint decks, or Excel spreadsheets, with full integration into professional workflows, including REFI-QDA for academic users.

Key differentiators include its patent-pending systematic analysis (not retrieval-based RAG), two-way transparency for traceability and completeness, editable structured data, EU-based GDPR compliance, and support for several languages and documents per project.