Proprietary, safe and scalable conversational AI built for the enterprise
Voice is a powerful window into human health. We've developed a leading AI platform that listens, understands, and interprets voice signals, partnering with healthcare providers, consumers, and researchers across 3 continents.
Ultra-realistic voices that makes for a seamless experience
Agentic integrations designed to support all major EHR, PM systems without needing APIs
science-backed guardrails for maximum safety




Scientific publications
Charles C Onu, Samantha Latremouille, Arsenii Gorin, Junhao Wang, Uchenna Ekwochi, Peter O Ubuane, Omolara A Kehinde, Muhammad A Salisu, Datonye Briggs, Yoshua Bengio, Doina Precup. "A cry for help: Early detection of brain injury in newborns", Preprint arXiv:2310.08338, 2023
View moreArsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha Latremouille, Charles C. Onu. "Self-supervised learning for infant cry analysis", ICASSP 2023: Self-supervision in Audio, Speech and Beyond Workshop, 2023
View moreSamantha Latremouille, Charles Onu; Junhao Wang; Arsenii Gorin; Wijdan Basfar; Adnan M. Al Ali; Guilherme Sant'Anna. "Acoustic biomarkers of cries from newborns admitted to the NICU with hypoxic ischemic encephalopathy", Abstract and poster presentation at Pediatric Academic Societies meeting on April 27, 2023 in Washington, D.C.
View moreDavid Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup. "CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds", Preprint arXiv:2305.00969, 2023
View moreAdnan M. Al Ali, Charles Onu, Samantha Latremouille, Wijdan Basfar, Eva B. Senechal, Doina Precup, and Guilherme Sant'Anna. What's wrong, baby? An acoustic analysis of cry triggers in newborns. Abstract and poster presentation at Pediatric Academic Societies meeting on April 22, 2022 in Denver, CO.
View moreCC Onu, J Lebensold, WL Hamilton, D Precup, 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019.
View moreCC Onu, I Udeogu, E Ndiomu, U Kengni, D Precup, GM Sant'anna, EAD Alikor, P Opara, “Ubenwa: Cry-based Diagnosis of Birth Asphyxia”, Machine Learning for Development workshop, 31st Conference on Neural Information Processing Systems 2017
View moreCC Onu, “Harnessing infant cry for swift, cost-effective diagnosis of perinatal asphyxia in low-resource settings,” IEEE International Humanitarian Technology Conference (IHTC), 2014
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