Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Skimle revolutionizes the way unstructured qualitative data is converted into structured, analyzable datasets through the use of artificial intelligence. In contrast to RAG chatbots that simply retrieve isolated excerpts, Skimle meticulously processes complete sets of documents from the outset—examining each segment, gathering insights, and categorizing them within a structured hierarchy of themes.
You can upload various formats of qualitative data such as interview transcripts, PDFs, audio or video files, and reports. The workflow that Skimle employs, which draws inspiration from scholarly thematic analysis, systematically codes every passage, uncovers recurring patterns, and compiles a comprehensive "spreadsheet" where documents are organized as rows and themes as columns. Each insight is directly tied to verified quotes, ensuring accuracy without any fabrication.
Supporting over 100 languages and capable of handling more than 1,000 documents per project, Skimle is fully compliant with GDPR regulations applicable in the EU, providing complete traceability between themes and quotes. Users can also enjoy features such as customizable categories, AI-driven chat for reasoning, and options to export findings into Word, Excel, or PowerPoint formats.
What sets Skimle apart is its ability to merge the rigorous standards of academic research with the rapid processing capabilities of AI. Tasks that traditionally consume weeks when using NVivo or other conventional tools can be completed in mere hours with Skimle, all while maintaining detailed audit trails essential for peer review and validation. This efficiency not only saves time but enhances the overall research experience, making qualitative analysis more accessible and streamlined than ever before.
Description
Sorcero is an innovative platform powered by artificial intelligence that aims to convert intricate medical data into practical insights for the life sciences sector. It offers a range of products such as Medical Insights Management, Intelligent Publication Monitoring, Plain Language Summaries, and Intelligent Systematic Literature Review, all of which work together to unify and interpret both structured and unstructured data from diverse sources. By leveraging AI to dissect medical themes, notes, and research findings, Sorcero provides clear and high-quality responses to challenging medical inquiries, thereby assisting teams in Medical Affairs, Pharmacovigilance, and Regulatory Affairs in making better-informed choices. The platform enhances rapid literature monitoring, facilitates content creation, and supports evidence-based decision-making, significantly improving patient outcomes while also streamlining operational processes. Additionally, Sorcero's capabilities can lead to a more effective collaboration among various stakeholders within the healthcare ecosystem.
API Access
Has API
No
API Access
Has API
No
Integrations
ATLAS.ti
Yes
MAXQDA
Yes
Microsoft Excel
No
Microsoft Word
No
NVivo
Yes
Reddit
No
Integrations
ATLAS.ti
No
MAXQDA
No
Microsoft Excel
Yes
Microsoft Word
Yes
NVivo
No
Reddit
Yes
Pricing Details
$0
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Vendor Details
Company Name
Sorcero
Founded
2017
Country
United States
Website
www.sorcero.com
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
Yes
Data Visualization
Yes
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
No
Sentiment Analysis
Yes
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
Yes
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No