Audience

Academic researchers (thematic analysis), consultants (expert interviews, data rooms), policy analysts (public consultations), legal teams (discovery), market research, software engineers

About Skimle

Skimle transforms unstructured qualitative data into structured, analyzable datasets using AI. Unlike RAG chatbots that retrieve random passages, Skimle systematically processes entire document sets upfront—analyzing each section, extracting insights, and organizing them into hierarchical theme taxonomies.

Upload interview transcripts, PDFs, audio/video, reports, or any qualitative data. Skimle's worklow (inspired by academic thematic analysis) codes every passage, identifies patterns, and creates a "spreadsheet" where documents are rows and themes are columns. Every insight links to verified quotes - no hallucinations.

100+ languages, 1,000+ docs/project, GDPR-compliant EU storage, full traceability (themes↔quotes), editable categories, AI reasoning chat, export to Word/Excel/PowerPoint reports etc.

Why different: Combines academic-grade rigor with AI speed. What takes weeks in NVivo or other legacy tools takes hours in Skimle, with full audit trails for peer review.

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Pricing

Starting Price:
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Free Version:
Free Version available.

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Company Information

Skimle
Founded: 2025
Finland
www.skimle.com

Videos and Screen Captures

Skimle workflow

Skimle workflow

Skimle workflow Uploading data Explore the Skimle table Export to format of choice See summary by category
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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Videos
Support
Online

Skimle Frequently Asked Questions

Q: What kinds of users and organization types does Skimle work with?
Q: What languages does Skimle support in their product?
Q: What kind of support options does Skimle offer?
Q: What other applications or services does Skimle integrate with?
Q: What type of training does Skimle provide?
Q: How much does Skimle cost?

Skimle Product Features

Qualitative Data Analysis

Collaboration
Data Visualization
Multi-Language
Qualitative Comparative Analysis
Sentiment Analysis
Text Analytics
User Research Analysis
Annotations
Media Analytics
Mixed Methods Research
Quantitative Content Analysis
Statistical Analysis
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