We help health programmes, researchers, and institutions turn complex data into risk scores, reports, and monitoring tools they can actually use.
Signal architecture
Each one turns a different type of health data into something teams can review, report on, and act on.
Predict disease risk from clinical and demographic data. Generate scores your team can review and act on.
See programme activity, data quality, and outcome patterns in clear, structured reports.
Classify and prioritise pathology, microscopy, and radiology images for faster review.
Track disease trends, map risk, and plan interventions using population-level data.
Enter sample patient data and see risk scores, reports, and review bands generated in real time.
Risk Analytics
Predict Type II diabetes risk from clinical biomarkers. Enter patient data and get a risk score with clear review bands.
Risk Analytics
Estimate breast cancer recurrence risk from clinical and treatment data. Built for registry analysis and research teams.
Risk Analytics
Predict osteoporosis risk from demographic and clinical data. Designed for prevention planning and research teams.
Use our analytics solutions for your work, and manage everything through the built-in project workspace.
Machine Learning Solutions
Custom machine-learning models for health data: classification, forecasting, segmentation, and risk prediction.
Image Analytics
Classify and prioritise pathology, microscopy, and radiology images using trained models.
Bioinformatics and Omics Analytics
Genomic and molecular data analysis for translational research and biomarker discovery.
Epidemiological and Public Health Intelligence
Track disease trends, monitor populations, and plan interventions using surveillance and programme data.
Current capabilities
Create and manage analytics projects end to end
Upload data, download results, and exchange files securely
Send and receive messages within each project
Get quotes, invoices, and pay online or by bank transfer
Try interactive demo workbenches
Track tasks, audit history, and team workload

Different teams use Africure Analytics for different things. Here is what each group gets.
Risk scores, dashboards, and reports that fit how your team plans and tracks performance.
Reproducible analysis workflows you can share with collaborators and peer reviewers.
Track disease trends, monitor populations, and plan interventions with data you can trust.
Products designed for real conditions, not ideal ones.
Designed around the data quality, reporting systems, and infrastructure that teams actually work with.
Every output documents its methods and limitations. Nothing is claimed without validation.
From risk scoring to project management, everything runs in one platform with full audit trails.
We combine data science, epidemiology, and product design to build tools that fit how institutions and research teams work.
We build analytics, reporting, and data interpretation tools. We do not provide clinical services or medical advice.
No. We build analytics tools and reports for institutions, programmes, and research teams. This is not a clinical or personal health service.
Analytics tools only work when they fit the data quality, infrastructure, and priorities of the setting. Our products are designed for the conditions teams actually face.
Yes. We work with universities, NGOs, agencies, and research teams on pilots, validation studies, and custom analytics projects.
Create projects, upload data, get quotes, exchange files, send messages, track tasks, review deliverables, and pay invoices online or by bank transfer.
Tell us what you need. We will scope it, quote it, and deliver it.