The company’s software eases the process for clinicians who analyze patients’ sleep data to see whether they have sleep apnea, reports

The vast majority of that data is analyzed manually right now, taking up countless hours of clinicians’ time and leading to patient wait times of several months. That’s one of the reasons why most people with sleep apnea go undiagnosed, leading to complications such as diabetes or strokes later on, Fernandez said.

“We are really trying to make this process faster and more efficient so more people can get the treatment they need and transform their quality of life,” he said.