Our proprietary dataset of cough sounds contains more than 250 million sound samples, all of them collected in the real world, across almost every country and every socio-demographic segment. This is why our models are outperforming every other model on the market and our cough detection is as good as or even better than the human ear.

While the medical value of cough tracking has long been recognized as a critically important tool in patient care and public health, until recently technology has lagged behind the need for effective cough monitoring solutions. Clinicians have had to rely on qualitative data (patients’ reports), or they have been forced to take clinical decisions on insufficient data points. 

Hyfe changes all of that. Our AI detects 98% of all coughs throughout the day, providing clinicians with an unprecedented level of objective clinical data.

Hyfe AI detects and tracks coughs in real time, when they happen, where they happen. Coughs get recorded on a dashboard where clinicians can analyze - and even listen to - these coughs along with their metadata. They can identify patterns and outliers and they can gather a level of insight that has been unimaginable until now.

Coughing hides patterns and correlations that are now revealed to clinical researchers. Location, timestamp, frequency throughout the day, as well as other metadata are continuously recorded and processed. This gives researchers an unprecedented level of fidelity into clinical trial data and allows them to identify and isolate additional variables.

Hyfe AI runs on any android device and requires no additional infrastructure. It can be installed and controlled remotely.

Researchers get access to sophisticated dashboards that allow them to structure and run clinical trials at any scale using a regular computer.

Hyfe AI records objective clinical data along with rich metadata for every participant and cohort. Researchers are provided with powerful dashboards and analytical tools that deliver data-driven insights continuously.