Ubenwa secures $2.5 million USD funding to help parents and clinicians understand an infant's cry
Summary
A spinout from Mila the Quebec Artificial Intelligence Institute, Ubenwa is working with Montreal Childrens Hospital and pediatric hospital networks around the world, to build a platform for sound-based diagnostic tools, combining groundbreaking AI research and clinical insights.AI is well-suited to deriving insights from the sound signature of an infant cry, said Yoshua Bengio, the AI pioneer who heads Mila. The company has the largest and most diverse clinically-annotated database of infant cry sounds, an essential asset for the development of audio-based biomarkers.Cry analysis has the potential to provide critical information for identifying babies with evolving brain problems, said Dr Guilherme SantAnna, Neonatologist at Montreal Childrens Hospital and Professor at McGill University. We are very happy to be collaborating with Ubenwa to realize this through well-controlled clinical studies.Ubenwa raised $2.5M USD in a pre-seed round that attracted top AI venture funds and researchers. Deciphering a babys cry using machine learning can open up a range of possibilities in the consumer and clinical pediatrics market where demand for better digital products is only growing.Ubenwa is building the future of automated sound-based medical diagnostics by leveraging cutting-edge AI research. With a team of award-winning scientists, engineers and medical professionals, the company has developed the first technology for rapid detection of neurological conditions in infants using only their cry sounds.