Ubenwa

Ubenwa is a medtech AI platform that analyzes infant cry sounds to interpret needs and surface early health signals for parents, healthcare practitioners, researchers, and clinical trial teams.

Key capabilities include:

• Cry detection in real environments, identifying infant cries from background noise so recordings remain usable outside controlled settings
• Acoustic biomarker analysis that supports early detection use cases such as birth asphyxia and other anomalies tied to neurological or respiratory conditions
• Cry-state interpretation to help classify common needs and discomfort signals (for example hunger, pain, or fussiness)
• Monitoring and alerts for harmful noise exposure and pain cries to support non-invasive infant monitoring

Available via the Nanni AI iOS app and API integrations for microphone-enabled products (such as baby monitors, hospital equipment, and wearables).

Target users include parents (B2C via the app), plus clinicians, research teams, and CROs running studies and clinical trials (B2B).

Notable context: the technology is built from a large, clinically sourced dataset of infant cries developed through partnerships across Canada, Brazil, and Nigeria, with pilots and partnerships relevant to low-resource healthcare settings where non-invasive monitoring can improve access to early screening.