COSTAQDA
5.0 out of 5 starsRatings and Reviews 0 Ratings
Ratings and Reviews 12 Ratings
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What is Laser AI?
Laser AI is an innovative platform that harnesses the power of artificial intelligence to optimize the systematic review process for researchers, allowing for quicker identification, assessment, and integration of evidence. By boosting the efficiency of reviewers, it significantly reduces the heavy workload that is often encountered in academic research. This tool employs a variety of AI techniques, including natural language processing and machine learning, to automate numerous tasks that are traditionally part of systematic reviews. As a result, researchers can save precious time and energy, which ultimately improves the quality of their reviews. The platform boasts features such as AI-powered data extraction, support for living reviews, and strong quality assurance processes to maintain review precision. Following stringent methodologies endorsed by leading academic and governmental bodies, Laser AI aids institutions in organizing and reusing data effectively through controlled vocabularies and an advanced data-cleaning module. Additionally, it offers extensive support for living systematic reviews throughout their lifecycle, incorporating sophisticated security measures to protect sensitive information. By redefining research methodologies, Laser AI aims to revolutionize the way reviews are performed across diverse fields, promising to enhance both the accuracy and efficiency of the research process. With its commitment to continuous improvement and innovative solutions, Laser AI stands at the forefront of research tools that can adapt to the evolving needs of scholars.
What is COSTAQDA?
Highlighted Attributes:
1. Coding: COSTAQDA offers a comprehensive coding platform that empowers researchers to efficiently categorize and tag qualitative data. It accommodates a variety of coding styles, such as descriptive, narrative, in vivo, and emotion coding, making it versatile for different research approaches.
2. Ordering/Organizing: This software allows users to systematically arrange their coded data. Researchers can classify codes into hierarchies, categories, or themes, which is essential for grasping intricate relationships within the data and facilitates more profound analysis.
3. Theme Discovery: COSTAQDA is equipped with sophisticated tools for discovering and extracting themes from coded data. This capability for thematic analysis aids researchers in identifying patterns and insights that are vital for arriving at significant conclusions in qualitative research.
4. Testing Analysis: The platform also features a Testing Analysis component that assists in validating research findings. It offers an Inter-Coder Reliability test based on Cohen's Kappa, which helps ensure consistency and mitigate bias in coding, especially in collaborative research efforts. In addition, this feature enhances the overall reliability of the research process, allowing for more credible outcomes.
API Availability
Has API
API Availability
Pricing Information
Pricing not provided
Pricing Information
$36.53
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
Linux
Customer Service / Support
Standard Support
Web-Based Support
Customer Service / Support
Standard Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Laser AI
Company Location
Poland
Company Website
www.laser.ai/product
Company Facts
Organization Name
Global Centre for Academic Research
Date Founded
2019
Company Location
South Africa
Company Website
costaqda.app/
Categories and Features
AI Research Tools
Not specified
Data Extraction
Not specified
Categories and 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