Our portfolio focuses on key areas where innovation can make the greatest impact:

• AI for Retinopathy Detection
  We develop AI-powered diagnostic tools to enable early detection of diabetic retinopathy and other vision-threatening conditions, supporting ophthalmologists with fast, accurate, and scalable screening solutions.

• AI for Pharmacovigilance
  Our systems use machine learning and natural language processing to monitor, analyze, and predict adverse drug reactions, improving medication safety and supporting national pharmacovigilance programs with real-time insights.

• AI for Service Delivery Optimization
  We design intelligent models to optimize the allocation of medical resources, patient flow, and emergency response systems, ensuring timely and equitable access to care—especially in underserved regions.

• Geographic Information Systems (GIS) for Health Planning
  We integrate GIS with AI to map healthcare infrastructure, analyze spatial accessibility, and support evidence-based decision-making for health service planning and disaster preparedness.

Our vision is to build adaptive, data-driven healthcare ecosystems that respond to the real needs of populations through collaborative innovation, regional expertise, and sustainable digital health solutions.