Translating complex epidemiological challenges into resilient data ecosystems. From field collection to global surveillance, we build the foundations that save lives.
Start a ConsultationPublic health doesn't have a "data shortage"—it has an engineering bottleneck. We solve the fragmentation between field-level data and high-level policy decision-making.
Built by experts who understand R0 as well as API latency. We bridge the gap between science and code.
Full compliance with national health data governance and GDPR. Your data stays within your borders.
From zero to operational surveillance in days, not months. Critical response when hours count.
Enterprise-scale health information systems. Custom modules for national aggregate and tracker data.
Contact tracing and outbreak investigation. Chain of transmission visualization and field epidemiology.
Offline-first mobile data collection. Complex logic forms, geospatial data, and automated ETL pipelines.
Early Warning, Alert, and Response Systems. Signal detection from unstructured open-source intelligence.
Bespoke visualization engines built on React/D3. Real-time situational awareness for Emergency Operations Centers.
FHIR-compliant integration layers connecting disparate health systems (EMRs, Labs, Logistics) into a unified data lake.
The UAPÉ Collective is not just a software agency. We are a specialized task force of Software Engineers, Epidemiologists, and Statisticians.
With over 20 years of experience at the highest levels of global health, our leadership team comprises PhDs and subject matter experts who have sat at the tables of the world's leading international health organizations.
We don't just "write code." We understand the nuances of disease transmission, the sensitivity of demographic data, and the urgency of a response. We bridge the gap between Computer Science and Public Health Science, ensuring that the systems we build are technically superior and epidemiologically sound.
Architecting data systems for UN-level agencies during global health emergencies.
Deploying surveillance infrastructure for real-time outbreak tracking across borders.
Engineering analytical layers that handle massive scale epidemiological data.
Architectures that withstand demand spikes and field failures.
Modeling and pipelines that reduce friction between collection and analysis.
Native integration with global ecosystems and open standards.
Analytical layers focused on decision-making and response time.
Replaceable components with low coupling and high reusability.
Signals and alerts with visualizations designed for vigilance.
We are always available to discuss new projects, creative opportunities, or interesting partnerships. Don't hesitate to reach out!