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.

Low latency

Ultra-realistic voices that makes for a seamless experience

Integrations

Agentic integrations designed to support all major EHR, PM systems without needing APIs

Security

science-backed guardrails for maximum safety

Scientific publications

A cry for Help

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

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Self-supervised learning for infant cry analysis

Arsenii 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

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Acoustic biomarkers of cries from newborns admitted to the NICU

Samantha 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.

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CryCeleb: A Speaker Verification dataset Based on Infant Cry Sounds

David 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

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An acoustic analysis of cry triggers in newborns

Adnan 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.

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Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia

CC Onu, J Lebensold, WL Hamilton, D Precup, 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019.

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SVM Approach to the Cry-based Diagnosis of birth Asphyxia

CC 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

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Harnessing infant cry for swift, cost-effective diagnosis of perinatal asphyxia in low resource settings

CC 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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