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Description
Project managers have the ability to oversee the entire systematic review journey from a unified interface, enabling them to generate tailored statistics at any moment and access project archives whenever needed, all while relying on automated task assignments, confirmations, and reminders to ensure that nothing is missed. Unlike traditional methods, SRDB introduces a novel strategy for conducting systematic reviews and analyzing data within the pharmaceutical sector, healthcare, and health economics consulting, delivering a more efficient and budget-friendly alternative regardless of the project's scale. This all-encompassing solution addresses every facet of the systematic review procedure, starting from initial searches to the final report creation, all within a singular software environment. By streamlining processes, it boosts productivity, enhances precision, and fosters increased profitability by minimizing the time required to manage and generate reliable reviews and supporting evidence, ultimately transforming the way systematic reviews are conducted. With its user-friendly design and advanced features, SRDB stands out as a game-changer in the industry.
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.
API Access
Has API
API Access
Has API
Integrations
ATLAS.ti
MAXQDA
NVivo
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
VTS Software
Country
United Kingdom
Website
www.srdb.pro
Vendor Details
Company Name
Skimle
Founded
2025
Country
Finland
Website
www.skimle.com
Product Features
Task Management
Collaboration
Create Subtasks
Gamification
Gantt Charts
Mobile Access
Percent-Complete Tracking
Progress Tracking
Recurring Tasks
Reporting/Analytics
Spreadsheet View
Task Board View
Task Planning
Task Scheduling
Task Tracking
Time Tracking
To-Do List View
Product Features
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis