klastroTest is a software solution designed for precise A/B testing and data analysis using advanced matching algorithms, enabling users to find optimal control and treatment groups quickly and efficiently.
Features
Advanced Matching Algorithm
Uses a unique matching algorithm that considers all features of user data to define control and treatment groups, eliminating traditional methods like propensity distance matching.
Instant AWS Integration
Allows users to upload data directly to AWS Athena for visualization and feature-level balance analysis without prior setup.
Automated ATE Calculation
Automatically calculates the Average Treatment Effect (ATE) for rapid insights in clinical and non-clinical data analysis after matching.
High-Speed Processing
Delivers A/B test results in about 3.6 seconds on Apple Silicon, significantly faster than traditional GPU and CPU solutions.
High-Dimensional Data Handling
Effectively matches high-dimensional data without bias, ensuring comprehensive insights even in complex datasets.