Partnerships
Work with us.
Research, pilots, validation, technical builds, data partnerships, and programme analytics — we are set up for all of these.
InstitutionsUniversitiesNGOsPublic-health agenciesInnovation partners
Partnership categories
Different ways to work together across evidence, implementation, and product development
We structure engagements around the analytical question, the data environment, and the delivery context.
Research collaborations
Work with universities and research teams on studies that need strong data analysis and careful methods.
Pilot implementations
Test whether the analytics work with your data, your reporting needs, and your team before committing to a full rollout.
Validation partnerships
Review models and outputs with domain experts and epidemiologists to check whether the evidence holds up.
Technical partnerships
Build with software and AI teams that need health analytics capability in their products.
Data partnerships
Data access for model training, benchmarking, and population analysis — governed properly from the start.
Public-health engagements
Monitoring, trend analysis, dashboards, and planning support for public-health programmes.
Partnership approach
Partnerships defined by the analytical question and delivery context
We structure the work around the problem to solve, the evidence required, and the environment where the analytics will be used.
01
Start with the question you need answered and who will use the results.
02
Look at what data you have, how it is reported, and what the constraints are.
03
Agree on scope — whether that is analysis, validation, a pilot, or a product build.
04
Deliver the work as a study, report, dashboard, or deployed tool.
Organisation types
Built for institutional collaboration
We work with organisations that need credible analytics, careful interpretation, and delivery suited to operational or research settings.
Universities and research institutesNGOs and implementing partnersPublic-health agenciesHospitals and health systemsFoundations and programme fundersTechnical product teams
Collaboration areas
Validation and evidence
Plan studies, review past data, benchmark models, and build the evidence base for your analytics.
Programme and population insight
Dashboards and reporting for monitoring, planning, and understanding what is happening on the ground.
Institutional analytics
Risk scoring, reporting, and analytical tools matched to what your institution actually needs.
Data and technical work
Data access, pipeline design, and integration work for partner systems.
Partnership discussions start on the contact page.
Use the contact page for partnership enquiries, institutional discussions, and broader product conversations with Africure Analytics.