Company building wearable sleep technology that uses machine learning and acoustic neurofeedback. The product is aimed at sleep clinics, doctors, enterprises and researchers.
Neurobit’s technology aims to improve sleep quality and efficiency. Neurobit provides sleep records, which can normally take 1.5-2.5 hours for an expert technologist to manually score for one night of sleep. The company has a scorer called NEO based on 30,000 + polysomnography (PSG) data from 4000+ subject. Scoring is real-time and the system is offered as a cloud based Open RESTful API service. The Z3Score framework used by the company was developed in the laboratory of scientific advisor Dr. Michael Chee at the Cognitive Neuroscience Laboratory at Duke-NUS Medical School, SingaporeSingapore.