Africa's primary healthcare infrastructure faces critical gaps that impact millions of lives daily.
of PHCs in Nigeria are fully functional
of health needs can be solved at PHC level, yet most centers lack diagnostic capacity
of people in underserved communities lack access to basic healthcare
We are building an AI-powered decision-support system that analyzes health facility data, predicts shortages and outbreaks, and supports smarter planning across Africa’s Primary Health Care systems.
Advanced machine learning models process healthcare data to identify patterns, predict challenges, and recommend evidence-based interventions in real-time.
Seamlessly aggregates data from WHO, World Bank, health facilities, and local sources to create a unified view of healthcare infrastructure.
Forecast resource shortages, disease outbreaks, and capacity gaps before they become critical, enabling proactive interventions.
Built with input from healthcare workers and communities to ensure accessibility, usability, and real-world impact at the grassroots level.
Transforming healthcare delivery across Africa through intelligent, data-driven solutions.
Forecast disease outbreaks and resource needs weeks in advance, enabling proactive public health responses.
Optimize distribution of medicines, equipment, and personnel based on real-time demand and capacity data.
User-friendly interfaces that empower healthcare workers and administrators with actionable insights at a glance.
Data-driven recommendations to inform national and regional healthcare policy decisions and infrastructure investments.