Overview
Our platform redefines how apparel brands and retailers approach fit, personalization, and user experience. Designed with modular architecture and powered by AI, it delivers a seamless pipeline—from image-based data capture to real-time augmented reality fitting and backend integration.
Core Features
Technical Specs
Technical Specs
Anthropometric Modeling Engine
AR-Based Fit Simulation
Avatar Calibration Dashboard
API-First Architecture
Cultural Fit Profiles
Technical Specs
Technical Specs
Technical Specs
RESTful APIs with OAuth2 security
Data schema based on ISO 7250 anthropometric standards
Scalable microservices on Kubernetes
TECHNICAL OVERVIEW
MASTSKAI is an AI-powered virtual try-on platform that revolutionizes apparel fitting for e-commerce brands and retailers through image-based anthropometric data capture, AR simulations, and seamless API integrations. It delivers precise garment recommendations and real-time visualizations, reducing returns by enhancing fit confidence.
Core Technologies
The platform's Anthropometric and Ergonomic Analysis engine extracts body measurements, proportions, symmetry, and posture data from user-uploaded images using computer vision and pose estimation. This fuses human science into AI via ISO 7250 standards-based modeling, predicting dynamic garment interactions for comfort and movement. Cultural fit profiles and brand-specific sizing further personalize outputs.
Proprietary Algorithms
GMA (Garment Matching Algorithm) and ASIF (Adaptive Sizing and Interaction Fusion) enable Table Fusion, intelligently merging user profiles with multi-brand sizing charts and fit philosophies. These algorithms handle Brand Variability and Dynamic Adjustments, accounting for fabric drape, style, and real-world ergonomics across diverse body types. Trained on extensive datasets, they achieve 95% accuracy in size predictions and virtual fittings.