What We
Do
We deliver a portfolio of advanced solutions powered by artificial intelligence and GIS to improve patient outcomes, system efficiency, and public health decision-making.
1. AI for Retinopathy Detection
We build deep learning models that enable early, accurate detection of diabetic retinopathy and other retinal diseases from medical images.
Automated screening tools for primary care and remote settings
Integration with national health platforms for mass screening campaigns
Clinical decision support for ophthalmologists and general practitioners
AI training datasets adapted to regional populations and imaging devices
2. AI for Pharmacovigilance
We develop intelligent systems that enhance the safety and monitoring of pharmaceuticals through data-driven pharmacovigilance.
Real-time detection of adverse drug reactions from health records and reports
Natural language processing to analyze unstructured clinical and social media data
Signal detection dashboards for regulatory authorities and hospital systems
Risk prediction models to support clinical decision-making and drug policy
3. AI for Service Delivery Optimization
We design predictive models and optimization tools that streamline health service delivery and resource allocation.
Patient flow modeling in hospitals and emergency departments
Optimization of ambulance dispatch, referral systems, and appointment scheduling
Forecasting of service demand to guide investment and staffing
Scenario modeling for health policy and crisis response planning
4. GIS for Health System Planning and Accessibility
We integrate geospatial data and AI to support strategic health planning and improve equity in service delivery.
Spatial analysis of health facility coverage and population access
GIS-based planning for new facility placement, mobile clinics, and outreach programs
Real-time mapping tools for public health monitoring and emergency response
Custom dashboards and reports for ministries, donors, and humanitarian agencies
Our Approach
Local Context, Global Standards: We build solutions that are technically advanced but tailored to the realities of local health systems.
Cross-Sector Collaboration: We work with ministries of health, hospitals, NGOs, tech companies, and academia to ensure impact and sustainability.
Capacity Building: We support digital health transformation by training professionals and transferring knowledge to local teams.
Ethical AI: We prioritize data privacy, inclusivity, and transparency in the design of all our tools.
Let’s Transform Healthcare Together
Whether you are a health authority, a research institution, or a digital health innovator, we invite you to partner with us in shaping the future of healthcare through AI and technology.
Contact us to explore how we can collaborate.