Health-tech, Ubenwa, Raise $2.5million in Pre-seed Fund
Ubenwa, a health-tech that engages the use of Artificial Intelligence, AI, and learning tools to diagnose infants (children within 0-6 months of age) has secured$2.5million in the pre-seed fund, granted to help the startup develop its operations and execute its marketing plans.
Founded in 2017, by Nigerian, Charles Onu, who has explored AI extensively and has a background in the medical field, Ubenwa is currently based in Montreal, Canada. The founder’s joint experience in AI and Medicine made Ubenwa a reality.
The $2.5 million pre-seed round had investors like Radical Ventures, a returning investor, AIX ventures, and entrepreneurs which include Pieter Abbeel and Richard Socher, Yoshua Bengio, Marc Bellemare, and Hugo Larochelle of Google Brain.
The health-tech is developing an automated sound-based diagnostic tool for infants, engaging the use of experience gathered from several years of scientific research, and specific AI systems.
Onu while making a statement, described Ubenwa as a tool that helps decipher a natural cry and a disease-causing cry in an infant, for medical diagnosis.
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Although Ubenwa is an independent startup, it is also recognized as the result of Mila’s years of research. Mila is an internationally recognized Artificial Intelligence hub, situated in Quebec, Canada.
Ubenwa has done due diligence to partner with several hospitals in a few countries across the globe, which includes Nigeria, Canada, and Brazil. The startup praises itself for possessing the largest and manifold database for infant cries that have been clinically recognized.
Onu reiterated Ubenwa’s activities in the quote “Ubenwa is building a diagnostic tool that understands when a baby’s cry is actually a cry for medical attention.” He further explained, “Ultimately, our goal is to be a translator for baby cry sounds, providing a non-invasive way to monitor medical conditions everywhere you find a baby: delivery rooms, neonatal and pediatric intensive care units, nurseries, and even homes.”
According to the press release, Ubenwa has developed a system to track cry activity, identify acoustic biomarkers, and prognosticate anomalies, then convert infant cries to possible diagnoses. In a successful trial to identify neurological injury caused by birth asphyxia, Ubenwa’s software revealed a 40% improvement over APGAR scoring, the widely canonized physical examination at birth.
Parents and Hospitals can now sign up on the Ubenwa app, thereby becoming early users of the initiative.