Ubenwa, an innovative health-tech startup that leverages artificial intelligence and machine learning to diagnose infants within 0–6 months of age, has locked in $2.5 million in pre-seed funding to scale its operations and materialise its go-to-market strategy.
Ubenwa’s CEO described Ubenwa’s solution as one that helps distinguish an infant’s natural cries from the disease-causing cries for help.
Ubenwa has developed algorithms to track cry activity, detect acoustic biomarkers, and predict anomalies, thereby converting infant cries to potential diagnoses. In a successful pilot to detect neurological injury due to birth asphyxia.
Ubenwa’s software showed a 40% improvement over APGAR scoring, the widely canonised physical examination at birth.