Skimle

What Skimle does

Skimle is an AI-native qualitative data analysis software that transforms interviews, reports, and other text documents into structured insights. It combines academic rigor with the speed of AI, enabling users to quickly understand and navigate complex bodies of knowledge. The platform automates the collection, analysis, and categorization of qualitative data, offering features like anonymization, automatic category creation, and data exploration across documents. Skimle is designed for professionals across various industries, providing comprehensive, transparent, and GDPR-compliant analysis powered by leading large language models. It aims to amplify human expertise by handling mechanical work, allowing experts to focus on deeper insights.

Products

• Skimle AnonymiseA tool for pseudonymizing interview transcripts and documents. It automatically detects personal identifiers across six categories (names, titles and roles, locations, organizations, dates, and other) and allows for custom redaction rules and date shifting. It offers three compliance levels from light pseudonymization to HIPAA-grade strong anonymization.
• Skimle AskAn AI-assisted interviewing tool that allows users to create interview guides, conduct interviews at scale, and analyze emerging themes instantly. It handles the burden of conducting interviews, enabling focus on data interpretation. Respondents can chat with an intuitive AI interviewer at their convenience.
• Skimle MCP serverConnects AI assistants like Claude to Skimle projects directly via Model Context Protocol, with OAuth authentication or API keys, and multi-project access.
• AI ChatA powerful agentic AI chat that can access original documents, category structures, insights, and summaries to query analyzed data. It provides direct links to original quotes for verification of AI's answers.
• Skimle TranscriptsAllows users to upload voice files and download transcripts, with automatic AI transcription and multi-speaker support in over 100 languages.

Key capabilities

• Comprehensive and transparent analysis
• Designed for teamwork
• Available for individual users and corporate single-tenant cloud
• Secure and fully GDPR compliant
• Powered by leading large language models
• Upload text or audio
• Remove sensitive data with Skimle Anonymise
• Automatically create categories and sub-categories
• Explore data across documents
• Export data to seamlessly fit workflow (Word, PowerPoint, Excel, REFI-QDA formats)
• AI-assisted interviewing (Skimle Ask)
• Automatic analysis and structuring
• Full control and two-way transparency
• Discover patterns across documents
• Integrate with AI tools via MCP connections
• Safely upload text and audio data (EU storage)
• Anonymise documents (names, roles, locations, organizations, dates, other)
• Create "Skimle Ask" AI surveys
• Rigorous AI workflow identifies themes and creates categories
• Agentic Chat and MCP
• Smart interview guide creation
• Collect insights from respondents at their convenience (mobile or desktop)
• AI-powered analysis of themes and insights
• Refine analysis manually and produce reports
• Access all types of text data (feedback, interviews, meeting transcripts)
• Structure text data into themes with full traceability
• Segment analysis by user type, platform, rating, geography, or any metadata variable
• EU-hosted, no data used to train AI models
• Synthesise documents across sources
• Multi-layer hierarchy of themes linked to verbatim quotes
• Understand how themes vary by source document, gender, industry, or other metadata
• Upload documents in any format (PDFs, Word files, plain text, CSV, audio files)
• Transcribe audio and video with multi-speaker identification (100+ languages)
• Up to 1,000 documents per project
• Single-tenancy cloud option available
• Three compliance levels for anonymization (light pseudonymization, strong pseudonymization, HIPAA-grade anonymization)
• Cross-file consistency for pseudonyms
• Custom redaction rules
• Date shifting preserving temporal relations
• Visualizations (Timeline, Word cloud, Overview dashboards, category and document leaderboards, heatmaps, category co-occurrence matrices, distribution charts, A/B comparison tool)
• Invite collaborators to projects
• Redesigned category editing (drag and drop, merge, move, restructure with AI-guided suggestions)
• Export center (PowerPoint, richer Excel exports, quote attribution picker, Word and Markdown exports with grouping, extended quotes, live preview)
• Smarter chat (guided wizard for insights, verified quotes, help assistant, edit projects, tag insights and categories)
• Strict analysis mode for more accurate analyses
• Document browser side panel
• Undo and redo for all actions
• Edit, create and delete tags with color picker and merge support
• Select date field for statistics timeline
• Smart scrolling in summaries and document views
• Edit and tag insights by clicking on quotes in document view
• Allow text selection in documents
• Edit, import and export metadata
• Import Excel files
• Support for projects in simplified Chinese, traditional Chinese, Korean, Japanese, Portuguese, Lithuanian, Arabic and Hebrew
• Faster, improved summaries and document loading
• Add notes to documents
• Agentic AI chat with context window and verification links
• Multi-step LLM-based analysis process (extracting insights, combining and verifying quotes, forming categories, forming subcategories, writing category summaries)
• Automatic thematic analysis
• Predefined categories
• Inductive analysis
• Agentic analysis (research-question-driven with analytical themes and counter-evidence)
• Codebook control (merge, split, rename, reorganize categories, change coding of quotes)
• Consensus & dissent identification via chat interface
• Cross-case analysis (compare themes across groups)
• Find counter-examples via chat interface

Use cases

• Qualitative analysis of interviews
• Document synthesis
• AI-assisted interviewing
• Customer feedback analysis
• Continuous discovery
• User & win-loss interviews
• Employee engagement analysis
• Exit interviews and pulse surveys analysis
• Culture & transformation analysis
• Public consultation analysis
• Stakeholder mapping
• Policy document review
• Expert & stakeholder calls analysis
• Due diligence
• Cross-market synthesis
• Focus groups analysis
• Open-ended surveys analysis
• Desk research
• Analyse App Store reviews, NPS verbatims, and support tickets at scale
• Run AI-assisted customer discovery interviews
• Synthesise findings from user interviews, win-loss calls, and stakeholder sessions
• Gather and analyse customer comments
• Run continuous customer discovery
• Turn scattered data into clear insights for knowledge workers
• Process hundreds of survey responses
• Identify patterns in why employees leave
• Understand what drives satisfaction and dissatisfaction across teams
• Onboarding feedback review
• Performance review themes
• Culture assessment
• DEI feedback analysis
• Analyse public consultations with thoroughness
• Process 1,000 consultation responses in days
• Map stakeholder positions before major policy decisions
• Initial coding of interviews
• Thematic analysis
• Grounded theory analysis
• Gioia's method analysis

AI approach

Skimle uses a multi-step process leveraging Large Language Models (LLMs) to analyze qualitative data. This process includes extracting insights and direct quotes, combining and verifying quotes within documents, forming categories and subcategories based on extracted insights, and writing category summaries. The system is designed to provide rigorous, transparent, and human-controlled analysis, aiming to amplify human expertise rather than replace it. It explicitly states that it does not use simple LLM wrappers or RAG databases, and verifies AI-extracted quotes against original document contents to prevent hallucinations. The platform also features an agentic AI chat for querying analyzed data and AI-assisted interview tools.

Tech named: Large Language Models, LLMs, RAG models, Agentic AI, AI-assisted interviews, AI chat

Industries served

• Data Infrastructure and Analytics
• Academic research
• Product management
• HR & people teams
• Public sector & policy
• Consulting
• Investment
• Customer & market research
• Legal teams

What it says sets it apart

• Combines academic rigor with the speed of AI
• Systematic and transparent analysis, unlike chatbots or legacy tools requiring manual coding
• Every insight linked to a verified, verbatim quote, ensuring no black box operations
• 3x faster end-to-end analysis reported by customers
• Built by professionals for professionals (former McKinsey Partner, Professor at Aalto University, award-winning designer)
• Full privacy and GDPR compliance with EU storage
• AI amplifies human expertise, rather than replacing it, focusing on 200% quality
• Rigorous expert-designed workflows, not simple LLM wrappers or RAG databases
• Human expertise in the driver's seat, avoiding "AI slop"
• Systematic processing of every document comprehensively, not retrieving random chunks
• Two-way transparency: see which quotes support each theme, and which themes each quote relates to
• Handles interviews, audio/video, books, documents, archival materials in one project
• Automated initial coding with suggested codes and themes in minutes
• Codebook control allowing users to merge, split, rename, reorganize categories
• Works in 100+ languages and 1000+ documents without translation
• Advanced analysis capabilities beyond basic coding (consensus/dissent, cross-case analysis, counter-examples)
• Addresses limitations of previous generation tools (NVivo, ATLAS.ti, MAXQDA) and basic LLMs (ChatGPT) for qualitative analysis
• Provides a structured, methodologically defensible analysis
• Offers a free trial and flexible subscription plans.