Every person is unique and ever-changing, both in body and their environment. At Enabyl, we believe that smart wearable and assistive devices should be just as unique and adaptive as their users. We develop software that allows these devices to adapt to each user’s unique physiology and environment in real time using artificial intelligence (A.I.) and streamlined cloud computing optimized for low-power wearables.
JONATHAN ZIA, PH.D.
MD candidate at Emory University School of Medicine. Research focus in machine learning and biomedical engineering.
PhD candidate at Carnegie Mellon University studying Electrical Engineering. Research focus in statistical signal processing, machine learning, and optimization.
J.D. Candidate at UC Berkeley School of Law. Former corporate finance strategist in technology sector and experienced with M&A transactions.