AI-native workspace for qualitative data
Rigorous qualitative analysis at the core (not shallow or unpredictable AI)
Skimle automatically collects, codes and categorises any qualitative data across 100s of documents with a proven workflow distilling 40+ years of academic and business qualitative analysis experience.
Versatile workspace for collaboration and integration (not locked to one workflow)
Upload audio, transcripts, documents, open-texts, or Skimle Ask AI-interviews. Transcribe, anonymise, combine sources, visualise patterns using mixed-methods, share with humans & AI, export reports, ...
Full two-way transparency and control (not a black box)
Every code, category and summary is editable and traceable to the source text. Skimle mechanically checks each quote is 100% verbatim, so you can trust and defend every finding.
Free trial, no credit card required
Skimle is used by experts across industries
Skimle's end-to-end workflow
Upload and collect data
Upload transcripts, audio and other documents, or use Skimle Ask AI-interviews to collect data. Everything securely stored in the EU.
Analyse and explore
Skimle's rigorous AI workflow automatically identifies themes and creates categories. Explore your data and discover patterns.
Integrate with your workflow
Skimle's structured data can be exported to Word, PowerPoint, Excel, REFI-QDA formats, or integrated with AI tools via MCP connections.
Skimle Ask
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.
Try it out: Answer a live Skimle Ask demo
Discover Skimle
One versatile tool, hundreds of uses
Literature review
Import papers and secondary sources, auto-code themes across hundreds of documents, and identify gaps and patterns in the literature in hours rather than weeks.
Thematic analysis
Skimle's AI identifies recurring themes across interview transcripts, building a category tree you can review, edit, and validate — with every theme traceable to specific quotes.
Grounded theory
Build theory inductively from raw data. Skimle codes your transcripts, surfaces emerging concepts, and lets you iteratively refine your coding scheme as patterns develop.
Inductive coding
Start with open coding and let Skimle propose categories directly from your data. Review, merge, and rename codes to match your analytical lens, keeping full control throughout.
Deductive coding
Apply a predefined codebook to your corpus. Skimle matches your categories against new data with full transparency into which quotes triggered each code.
Mixed methods
Combine quantitative metadata with qualitative themes. Cross-tabulate coding categories against respondent demographics to surface statistically meaningful patterns.
Skimle connects with the tools you use
After analysing and editing the data, you can take it to the format of your choice. Create PowerPoint presentations, Word reports, detailed Excel tables or export to REFI-QDA for processing in Nvivo, Atlas.TI, MAXQDA and other legacy QDA tools.
You can also access Skimle's data and agentic workflow via Model Context Protocol. Connect Claude Code, Cursor, Windsurf, or any other MCP-compatible tool directly to your research data — the same structured tools available in the in-app chat. Learn how to connect →
Watch Skimle in action
Your benefits with Skimle
Rigorous qualitative analysis at the core
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.
Versatile workspace for collaboration and integration
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.
Full two-way transparency and control
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.
Full set of features
Upload and collect data
Bring together data across sources
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
1000+ documents in 100+ languages
Skimle supports large sets of qualitative data. Source documents can be in different languages making working in multi-lingual setups easy.
Everything is securely stored in the EU
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.
Smart AI interviewer: Skimle Ask
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.
High-quality transcription with multi-speaker support
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.
Automated AI analysis of themes
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.
Anonymise your documents
Skimle Anonymise pseudonymises and de-identifies your transcripts before you share them or analyse them. Three compliance levels from basic pseudonymisation to HIPAA-grade anonymisation — with a full audit report included for compliance.
- ✓Import text from .pdf, .docx, .txt, .rtf, .csv, websites, and more
- ✓Import video and audio for high-quality AI transcription with multi-speaker support
- ✓100+ languages supported for multilingual analysis
- ✓Handle 1,000+ documents per project
- ✓Automatic AI-generated metadata fields for sorting, filtering and analysis
- ✓AI-created metadata: instruct Skimle to tag each document (e.g., "Is this a complaint, yes/no")
- ✓Automated suggestions for inductive and thematic analysis
- ✓Full control on categories and knowledge to extract
- ✓Background processing of large datasets with email notifications
- ✓Manage and share projects with your team
- ✓Anonymise transcripts: three compliance levels — light pseudonymisation, strong pseudonymisation, HIPAA-grade
- ✓AI detects identifiers across six categories: names, roles, locations, organisations, dates, and other
- ✓Cross-file consistency: same pseudonym for the same person across all documents
- ✓PDF audit report and Excel translation table included
Analyse and explore
Social science methodology - on steroids
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.
Agentic analysis: from research question to written answer
Start from a research question and let Skimle build a coding framework, 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.
Intuitive and transparent document × category table
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.
You are in full control of the analysis
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.
Smart AI chat to assist with analysis
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.
Visualisations: metadata analysis and pattern detection
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.
- ✓Paragraph-by-paragraph analysis ensures systematic, comprehensive coverage of every document
- ✓Two-way transparency: trace from summary to quote to source document and back
- ✓Highlights in source documents show exactly how AI analysed each passage
- ✓Category view with summaries across different levels of abstraction
- ✓User-controlled editing: accept, modify or reject any AI suggestion
- ✓Rename, merge or split categories as your understanding evolves
- ✓Automatic metadata assignment (sentiment, time period, custom fields)
- ✓Filter and cross-tabulate by demographics, date, source type or custom metadata
- ✓Heatmap view to see which topics feature in which document segments
- ✓AI auto-detects which metadata variables best explain differences in the data
- ✓AI chat with reasoning capabilities — ask cross-category and metadata questions
- ✓Agentic analysis: research-question-driven coding with analytical themes, counter-evidence and citations
- ✓Supports thematic analysis, grounded theory, content analysis and qualitative market research workflows
- ✓Zero hallucinations: every insight linked to a verified, verbatim quote
Integrate with your workflow
Customisable reports in Word, Excel, and PowerPoint format
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.
Export REFI-QDA open source file to Nvivo, MAXQDA, Atlas.TI, ...
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.
MCP access for agents
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.
Evaluate documents against criteria — coming soon
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.
- ✓Word report with overall and by-category summaries and selected quotes
- ✓PowerPoint report with executive summary and deepdives by theme with relevant quotes
- ✓Excel export of categories, comments and structured data
- ✓REFI-QDA export for use in NVivo, Atlas.TI, MAXQDA and other legacy QDA tools
- ✓Category view with expandable branches for interactive data exploration
- ✓Every report item links back to verbatim source quotes
- ✓Evaluate documents against scoring criteria with exportable matrices — coming soon
- ✓System integration via API and MCP for automated workflows — coming soon
- ✓Enterprise: single-tenancy cloud, own database, admin controls and SSO
- ✓MCP access for agents like Claude Code, Cowork and OpenClaw for custom integrations