RegSeal Demo

Machine learning model that predicts customer churn likelihood from behavioral, transactional, and engagement data to enable proactive retention campaigns.

Real-time machine learning pipeline for transaction fraud scoring, processing millions of financial transactions daily with sub-50ms latency.

Automated candidate evaluation system that scores resumes against job requirements, shortlists candidates, and generates structured interview guides.

AI-powered content moderation and safety classification system for detecting harmful, toxic, and policy-violating content across text and images.

Radiology image classification system for diagnostics, assisting radiologists in detecting anomalies in X-ray, CT, and MRI scans with 99.2% sensitivity.