Acting before the curve, not after it

FluTrack was founded by epidemiologists and data engineers who were tired of watching institutions fight last season's war. Standard flu reporting is authoritative and slow: by the time weekly surveillance data confirms a wave, hospitals are already triaging in corridors. The founders built a faster instrument — one that fuses multiple weak signals into a strong early estimate, so infection-control leaders can act days before official reporting catches up.

How the data works

The platform combines three signal families: clinical reporting from a network of hundreds of acute-care facilities, pharmacy sales that move before patients reach clinics, and wastewater surveillance that shows a virus arriving before symptoms do. These are fused into a single outbreak map that updates every six hours, with confidence intervals shown honestly — an early signal is a probability, not a prophecy. Backtested across multiple seasons, the platform's estimates typically lead standard public-health reporting by around a week, which is the difference between ordering antivirals and negotiating for them.

Who uses it

Hospital infection-control teams allocate staff, beds, and supplies; public-health departments plan outreach and vaccination campaigns; and travel-medicine clinics advise the people who depend on them. The platform reports on respiratory disease activity only, offers no medical advice, and publishes its methods openly so users know what they're standing on.

• Clinical, pharmacy, and wastewater signals fused into one map
• Refresh every six hours with confidence intervals shown
• Methods published openly — an early signal is a probability, not a prophecy

FluTrack serves clinicians, public-health teams, and the travelers who rely on their planning. If your institution is tired of reacting to flu season after it arrives, put the early signal on your wall.