FeverGuard is a scalable, low-cost, temperature anomaly detection solution. FeverGuard combines a comfortable wearable device with a cloud-based machine learning platform that more rapidly detects changes with a person's temperature reading . By combining both continuous temperature monitoring and machine-learning that learns every individual’s unique temperate profile, FeverGuard detects and alerts at the first sign of a potential change from historical temperature recordings.

FeverGuard’s ability for early detection means people can seek medical evaluation sooner, and speed time to isolation protecting their co-workers, friends and family. FeverGuard collects, maps, analyzes, and models baseline data, including circadian, diurnal, and hormonal temperature variances and other idiosyncratic characteristics of individuals. This data creates a personal temperature baseline, which can be used to detect discrepancies and potential abnormalities.