Analytics built for the conditions teams actually face.
We build health analytics products that work with real data, real infrastructure, and real reporting needs across Africa.
Most health analytics tools assume stable infrastructure and complete data. We start with the conditions that actually exist.
Help teams interpret health data with confidence.
Risk scoring, population monitoring, reporting, and research tools for institutions and programmes.
One platform institutions can rely on.
Analytics and the tools to run each project, in one secure place.
The same tools do not work everywhere.
Most analytics tools assume complete data and stable infrastructure. That is not the reality in most of Africa, so better risk interpretation and clearer reporting change how teams plan and allocate resources.
Data science, epidemiology, and product design in one team.
A small team across those disciplines, working with domain advisors, technical advisors, and research collaborators on validation and delivery.
Analytics and reporting
Turning programme and research data into clear, structured outputs.
Epidemiology
Population-level analysis for monitoring, trends, and planning.
Machine learning
Predictive models built for interpretability and practical use.
Product design
Interfaces that make analytics fit real workflows.
What we hold ourselves to
Clarity
Reports that are easy to read, easy to explain, and honest about what the evidence shows.
Rigor
We test properly and document what the outputs show, including what they do not.
Relevance
Every product fits local data quality, reporting needs, and real constraints.
Advise, collaborate, or validate with us.
We work with domain experts, technical advisors, and research collaborators on pilots, validation, and analytics delivery.