Rigorous qualitative analysis in the core
Bottom-up, proven analysis workflow distilling 40+ years of academic and applied qualitative analysis experience.
Versatile workspace
Mix and match any qualitative data (audio, video, text, …), anonymise, visualise using mixed methods, create presentations, and share with humans and AI.
Two-way transparency and control
Every code, category and summary is editable and traceable to the source text, so the human expert can apply their judgement.
Skimle is used by experts across industries
Until now, researchers often faced the choice between the scale of quantitative research versus the richness of insights from qualitative research. Skimle Ask changes the equation: you can set up our AI-assisted interviewer to conducts interviews at scale, and then analyse the responses to spot emerging themes.
Simply describe your research objective and our AI will draft the interview guide for you to finalise. Share the interview link and allow respondents to chat with Skimle Ask's intuitive and smart AI interviewer at a time of their choosing. Find insights and discover themes instantly with Skimle's sophisticated AI analysis.
Skimle automatically collects, codes and categorises interview transcripts, survey responses, reports and other qualitative data across hundreds of documents. The workflow mirrors established qualitative data analysis methods, from thematic analysis to inductive and deductive coding, distilled from over 40 years of academic and business research. You get systematic, defensible coding at scale rather than a shallow AI summary.
Start wherever your data lives: audio and video, transcripts, documents, open-text answers, or AI-led Skimle Ask interviews. Transcribe and anonymise in place, combine sources in a single project, and explore patterns with mixed-method tools and metadata segmentation. Collaborate with colleagues and AI agents in a shared workspace, then export to Word, PowerPoint, Excel, or REFI-QDA for NVivo and MAXQDA.
Every code, category and summary is editable and traceable down to the source text, and each quote is mechanically checked to be 100% verbatim. Findings stay auditable and defensible, your analysis stays reflexive, and you keep control instead of trusting a black box. You set the framing; the AI does the systematic first pass.
Skimle can analyse interview transcripts, audio, video, open text answers, customer calls and chat logs, articles, books, websites, data room contents, discovery material, patents, reports, contracts, and more... all in one combined project
Skimle supports large sets of qualitative data. Source documents can be in different languages making working in multi-lingual setups easy.
Skimle is fully GDPR and EU AI Act compliant with the data stored in the cloud. We provide a Data Processing Agreement and offer single tenancy cloud options for businesses.
Write an interview guide together with our AI assistant, share the link and let participants be interviewed with our smart AI assistant knowing when to dig deeper and when to press on. Analyse responses with Skimle's core analysis tools.
Upload audio or video files and get accurate AI transcriptions with automatic speaker identification and labelling. Supports 100+ languages — transcripts feed directly into Skimle's analysis workflow.
Skimle offer analyses with your preferred level of control. AI can suggest a structure, based on your interview questions, document headings, and an inductive analysis of your contents. Skimle forms subcategories automatically, but gives you control to adapt them as needed.
Skimle Anonymise pseudonymises and de-identifies your transcripts before you share them or analyse them. Three compliance levels from light pseudonymisation to HIPAA-grade anonymisation — with a full audit report included for compliance.
Automatic generation of categories based on analysing each document and creating a joint taxonomy. The workflow follows the same rigorous approach as reflexive thematic analysis in the tradition of Braun and Clarke, but automates it with thousands of atomic LLM micro-queries.
Start from a research question and let Skimle build a codebook, code every document, and synthesise analytical themes with counter-evidence and citations. Agentic analysis turns a question into a written, evidence-backed answer, not just a category tree.
Clear table view to examine insights in each document (e.g., interview) connected to meaningful categories (e.g., risks). Verified verbatim quotes for each theme, with full control on categories and coding of data. No black boxes, no hallucinations.
Define your own viewpoint and have Skimle extract and categorise insights for you, manually add or remove insights, and then use our powerful user interface to easily reorganise your results.
Custom reasoning model with awareness of your metadata and categories allows you to ask questions like "How do men and women differ in their answers?" or "What are the points of disagreement in this theme?" to gain deeper insights.
Skimle automatically assigns metadata to each document (sentiment, time period, and more) and lets you create your own AI-generated fields. Visualise heatmaps of topics by document type in Visualisations, and let Skimle automatically surface which metadata variables best explain differences in the data — for example, how answers differ between customer segments or time periods.
Instantly turn your insights into focused reports in formats making communication and storytelling of the results easy. Reports developed together with users to fit each domain.
You can export the AI-coded documents into an open source format supported by most CAQDAS (computer-assisted qualitative data analysis software) tools, including NVivo, MAXQDA and ATLAS.ti. Coding, category summaries and codebooks exported.
Give your Claude Code, Cowork or other agent tools the superpower of analysing and structuring qualitative data with Skimle. Full upload, edit and download skills available via MCP server.
Go beyond descriptive analysis to systematic evaluation. Specify scoring criteria by category — for example, assess tender responses on technical capability, cost structure, and risk management. Skimle highlights strengths and gaps in each document and exports structured scoring matrices for decision support.