PREDICTIVE PUBLIC HEALTH INTELLIGENCE
Transform fragmented health data into predictive intelligence. Give public health leaders early warning of emerging threats and the insights to act before crises unfold.
Traditional surveillance systems are reactive, fragmented, and too slow to prevent health crises.
By the time traditional surveillance detects an outbreak, it's already spreading. Officials lack the 2-4 week advance warning needed to prepare resources.
Critical health signals are scattered across hospitals, pharmacies, and wastewater. No single platform integrates these into actionable intelligence.
Public health departments are under-resourced. Manual data analysis means threats slip through the cracks while teams struggle to keep up.
Every day of delayed response multiplies healthcare costs and strains hospital capacity. Prediction is orders of magnitude cheaper than reaction.
Foresyte integrates 50+ disparate health data sources into a unified intelligence platform, using machine learning to detect emerging threats weeks before traditional surveillance.
Combining cutting-edge machine learning with robust DevOps practices to deliver reliable, scalable intelligence.
Advanced predictive models trained on historical patterns, seasonal trends, and real-time signals to forecast disease activity.
Cloud-native architecture with automated deployment pipelines ensures 99.9% uptime and seamless horizontal scalability.
Deploying intelligence across vectors to protect communities from a wide array of public health threats.
Identify unusual disease clusters and emerging outbreaks 2-4 weeks before traditional surveillance, enabling proactive containment.
Predict respiratory disease surges and ED demand to optimize hospital staffing, supplies, and regional bed allocation.
Identify high-risk populations and geographic hotspots for targeted vaccination campaigns, maximizing resource efficiency.
Map social determinants against real-time health data to identify underserved populations and deploy equitable interventions.
Monitor population-level trends in diabetes, hypertension, and asthma to guide long-term prevention funding.
Monitor resistance patterns across lab networks to predict emerging superbug threats and guide stewardship.
Whether you're looking to deploy Foresyte in your agency, or you're an engineer wanting to join our mission to save lives through data, we want to hear from you.
We are actively hiring Data Scientists, Epidemiologists, and Full-Stack Engineers.
View Open Roles →