Skimle for curious professionals
You read widely, talk to people, and gather information from all directions — interviews, reports, emails, meeting notes, survey responses. The hard part is making sense of it all. Skimle is an easy to use platform supporting different data collection and analysis needs of knowledge workers. Upload your documents, describe what you are looking for, and Skimle handles the analysis — in any language, at any scale.
Skimle was created by two knowledge professionals: Olli with 18 years of experience at McKinsey & Company and Henri with 18 years of experience from academic research as a tool they wished they had all along. Meet the team →
Skimle does in hours what used to take weeks: turns interview transcripts, reports, customer feedback statements or any other text data into a structured, methodologically defensible analysis. Upload your documents, and Skimle automatically builds a category hierarchy linked to verbatim quotes — so you can explore and edit the analysis rather than start from a blank page.
TAKE CONTROL OF LARGE SETS OF MESSY DATA
Professionals accumulate transcripts, reports, emails, and meeting notes from everywhere — but reading them sequentially takes days, and spotting patterns manually lets the loudest voice win rather than the most common signal. Skimle reads every document systematically, surfaces recurring themes, and gives you a structured knowledge base linked to verbatim quotes, built in hours rather than weeks.
Drag in PDFs, Word files, plain text, CSV exports, or audio files. Mix formats and sources freely.
Tell Skimle what you are looking for — in plain language. No codebook or methodology knowledge required.
Skimle reads every document and builds a multi-layer hierarchy of themes, each summarised and linking back to verbatim quotes.
Understand how themes vary by source document, gender, industry, or any other metadata variable.
Generate a structured report in Word, Excel, or PowerPoint — ready to share with colleagues or present to stakeholders.
COMBINE THE BREADTH OF SURVEYS WITH THE DEPTH OF INTERVIEWS
Collecting feedback and insights from people at scale used to mean weeks of scheduling, conducting, and transcribing interviews — a process too slow and expensive for most professionals to run at meaningful breadth. With Skimle Ask, you don't need to start a big research project, you can simply create AI-assisted interviews with smart follow-up questions. Send the link and allos respondents to answer with voice or text on their phones or computers. After getting the data, Skimle's core engine analyses responses automatically so you get qualitative insight at survey scale.
Let AI draft your interview guide and then finalise it yourself. Skimle Ask uses the guide as a basis for a natural conversation, probing for depth where it matters.
Send the interview link by email, Slack, or easily embed it in a web page. Respondents complete it on their own schedule — no coordination of timing required.
Each respondent gets a personalised conversation. The AI asks follow-up questions, handles tangents gracefully, and keeps the interview on track.
As responses arrive, Skimle structures them into themes. By the time your deadline arrives, the analysis is already done.
Export a synthesis report with representative quotes and theme breakdowns — ready for a presentation or document.
CONNECT YOUR AI TOOLS TO YOUR RESEARCH DATA
Once your data is structured in Skimle, you can work with it directly from your favourite AI tools. Use the in-app Agentic Chat to ask questions, merge categories, and explore patterns without leaving Skimle. Or connect Claude, Cursor, Windsurf, or any other MCP-compatible tool via Skimle's MCP endpoint and get the same structured access from your own environment.
Upload and run analysis as normal. The agent's power comes from the structured data Skimle has already built — insights, categories, memos, and metadata.
Click the Chat tab in your project. Ask questions, compare themes across participant groups, or ask the agent to reorganise categories — all without leaving Skimle.
Add https://skimle.com/api/mcp to Claude Desktop, Cursor, or Windsurf. Authenticate with OAuth or an API key — and your project data is instantly available from inside your tool.
Use 13 read tools to explore your data and 5 write tools to update categories, create notes, or tag insights — all traceable back to source quotes.
MCP and Agentic Chat are included with every Skimle subscription. Credits are shared — no separate tier or add-on required.
FAQ
About Skimle
Skimle is based in Finland and developed by people who have spent careers doing qualitative analysis the hard way — hundreds of interviews, thousands of pages of documents, weeks of manual coding. We built Skimle because we needed it ourselves.
We are trusted by Finnish government ministries, over 30 universities, dozens of consulting and market research firms, and large companies. All data is stored within the EU and processed according to our strict GDPR policy and terms of service.
Want to learn more? Explore our Signal & Noise blog, our FAQ, and use cases by sector. We are also happy to demo the product or explore how Skimle could fit your needs.