Madison startup EnsoData announced a $20 million funding round in June and is poised to transform the arena of sleep disorder diagnosis, the Wisconsin State Journal reports.
Co-founded by Chris Fernandez, the company develops artificial intelligence-based software that centers on sleep apnea.
The startup is currently working to grow its customer-facing workforce, and its newest product can help diagnose sleep apnea with a device worn on the finger.
EnsoData’s growth comes in an era of substantial expansion for AI in medicine.
The company’s origins trace back to three students in a UW-Madison class on biomedical signal processing who crafted a device that congestive heart failure patients could wear on their earlobes.
They reportedly pivoted multiple times on the application of similar technologies before settling on the current iteration of EnsoData.
Their chosen approach solves problems using machine learning — the process central to AI in which it “learns” from data — to analyze waveforms (like brainwaves and heart rhythms).
