Ubenwa
7 employees on LinkedIn Β· 7 known investors
Ubenwa develops AI and signal-processing algorithms that analyze the human voice as a health indicator, turning microphone-enabled devices into diagnostic tools. Its applications range from infant care to broader patient interactions across healthcare.
Also known as Ubenwa Health Β· Ubenwa Intelligence Solutions
Investors Β· 7
Also in the syndicate Β· 5
Company profile
researched Aug 2026Ubenwa (legally Ubenwa Intelligence Solutions, also presented as Ubenwa Health) is a Montreal-based medtech company that applies signal processing and machine learning to the human voice as a health indicator. Its core research treats the infant cry as a vital sign, analyzing acoustic biomarkers in cry sounds to infer an infant's needs and detect medical anomalies, including neurological conditions such as brain injury from birth asphyxia. The company states it has built the first foundation model for infant cries and positions its algorithms to turn any microphone-enabled device into a monitoring or screening tool, with capabilities including cry activity tracking, harmful-noise detection, acoustic biomarker detection and anomaly prediction.
Ubenwa's first product was Nanni AI, a consumer mobile app that interprets the likely meaning of an infant's cry (for example hunger, fussiness or pain). A subsequent product, Roseline AI, is an AI voice agent for healthcare providers that handles routine front-desk calls such as appointment booking, lab results and patient registration. The company also serves healthcare practitioners, researchers, and CROs and clinical trials, delivering technology as packaged products and via API integrations. Its stated mission extends beyond infancy to rapid health screening, medical intake and clinical documentation from voice.
Founding story
Ubenwa emerged from Charles Onu's academic work at Mila β Quebec Artificial Intelligence Institute, where he pursued a master's and PhD after working as a software engineer, seeking to apply mathematics to healthcare. Onu focused on the infant cry after observing that experienced clinicians could often judge whether a baby was unwell from the sound of its cry, reasoning that if those patterns exist in the signal, machines could be taught to learn them. Joelle Pineau and Doina Precup were his graduate advisors, and Laurent Charlin connected the team to the Creative Destruction Lab, which helped it raise its first capital. Reports describe the company as founded in Montreal in 2017; one account names Charles Onu, Samantha Latremouille and Innocent Udeogu as co-founders, and Onu, a Nigerian with medical-domain and AI experience, is described elsewhere as the founder and CEO.
Business model
Ubenwa commercializes its voice and cry-analysis AI both as packaged products and as API integrations, serving parents (the Nanni AI consumer app), healthcare practitioners and clinics (the Roseline AI voice agent for front-desk call handling), researchers, and CROs running clinical trials. It also pursues partnerships with pediatric hospitals and neonatologists for data collection and clinical validation.
Traction
The company reports more than 500,000 parents and five children's hospitals among its users and partners; the Mila profile cites nearly half a million Nanni AI users across 200 countries and states Roseline AI is deployed in over 50 locations. Its clinical study collected about 10,000 clinically annotated cry samples across five hospitals in Canada, Brazil and Nigeria, and the company has published research at INTERSPEECH, ICASSP workshops, NeurIPS workshops, IEEE IHTC and Pediatric Academic Societies meetings.
Latest developments
A July 2025 Mila feature describes Ubenwa's expansion beyond infant cry analysis to Roseline AI, an AI voice agent for healthcare front desks handling appointment booking, lab results and patient registration, reported as deployed in over 50 locations, alongside Nanni AI reaching close to half a million users in 200 countries. The company website also lists partnerships with a leading neonatologist in Nigeria, alpha testing of its consumer app, and findings presented at a North American pediatrics conference.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
The company describes itself as the first to develop technology for interpreting infant cry sounds and as a first mover in what it calls a $200B pediatric care market, citing the world's largest clinically annotated infant cry database as a key asset. External coverage characterizes it as a leader in automated sound-based newborn diagnostics and as a Mila spinout backed by prominent AI investors.
Differentiators cited include a proprietary, clinically annotated infant cry database built with hospitals on three continents (compared with a prior public database of about 70 samples), a foundation model for infant cries, peer-reviewed and preprint research output with Mila-affiliated authors including Yoshua Bengio and Doina Precup, and a team combining AI researchers with neonatology expertise.
Technology
Ubenwa combines audio signal processing with machine learning, including neural networks trained on spectrograms and self-supervised learning, to extract acoustic biomarkers from voice and infant cries. The company describes having built the first foundation model for infant cries, with algorithms for cry activity tracking, biomarker detection, harmful-noise tracking, pain-cry identification and anomaly prediction that can run on any microphone-enabled device. Its dataset, described as the world's largest clinically annotated database of infant cry sounds, was assembled with pediatric hospitals across three continents; reported model performance from the clinical study averaged 89% sensitivity in identifying babies with health issues and 86% specificity in identifying healthy babies, and an early pilot on neurological injury from birth asphyxia showed roughly 40% improvement over APGAR scoring. A separate product line, Roseline AI, is an AI voice agent for clinic phone workflows.
Go-to-market
The company reaches consumers directly through the Nanni AI mobile app and offers demo bookings and a partner program on its website for healthcare organizations. Clinical credibility and data are built through research collaborations with children's hospitals and neonatologists across North America, South America and Africa, and its Roseline AI product is sold to healthcare providers, reported as deployed in more than 50 locations.
New parents; healthcare practitioners and clinics (including delivery rooms, neonatal and pediatric intensive care units and nurseries); academic researchers; and contract research organizations running clinical trials.
Geography
Headquartered in Montreal, Canada, with research and clinical partnerships spanning North America, South America and Africa, including Montreal Children's Hospital, Enugu State University Teaching Hospital and Rivers State Teaching Hospital in Nigeria, and Santa Casa de Misericordia in Brazil. The Nanni AI app is reported to have users in 200 countries, and Roseline AI is described as addressing healthcare access in Canada.
History
Onu's cry-based diagnosis research dates to at least 2014, with a 2017 workshop paper at NeurIPS presenting an SVM approach to cry-based diagnosis of birth asphyxia under the Ubenwa name, followed by neural transfer learning work at INTERSPEECH 2019 and self-supervised learning and dataset papers in 2023. As a Mila spinout, the company ran a three-year clinical study with five hospitals in Canada, Brazil and Nigeria, collecting roughly 10,000 clinically annotated cry samples, and open-sourced part of the dataset. In 2022 it announced a $2.5M pre-seed round led by Radical Ventures. It launched Nanni AI as a consumer app after demand from parents outpaced clinical deployment, then expanded into healthcare operations with the Roseline AI voice agent, reported in July 2025 as deployed in over 50 locations.
Risks & controversies
Coverage notes that the approach has met skepticism from outside observers, and that the company was continuing to gather data with doctors in Nigeria, Canada and Brazil to conduct further clinical validations. Its diagnostic ambitions depend on clinical study outcomes and on the procedures and approvals required for use in clinical practice, which the company cited as a reason it first launched a consumer app rather than a clinical deployment.
Compiled by commissioned research from 8 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 5
launches, deals, and filingsUbenwa conducted a three-year clinical trial with five hospitals across Canada, Brazil and Nigeria, collecting about 10,000 clinically annotated infant cry samples and open-sourcing a portion of the dataset.
Ubenwa's first product, Nanni AI, was launched as a mobile app interpreting the meaning behind an infant's cry; reported as used by nearly half a million users across 200 countries.
Ubenwa introduced Roseline AI, an AI-powered voice agent for clinic front desks handling appointment booking, lab results and patient registration; reported as deployed in more than 50 locations.
Mila spinout Ubenwa announced a $2.5M USD pre-seed financing led by Radical Ventures with AI pioneer Yoshua Bengio, including returning investor AIX Ventures and angels Hugo Larochelle and Marc Bellemare. Radical Ventures investor Sanjana Basu joined the board. Funds were dedicated to clinical validations.
$2.5M source β
Ubenwa's technology was developed with Mila and six hospitals in three countries, including Montreal Children's Hospital, Enugu State University Teaching Hospital and Rivers State Teaching Hospital in Nigeria, and Santa Casa de Misericordia in Brazil.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
βΈResearch sources Β· 8
primary sources listed
- Ubenwaubenwa.ai Β· web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Ubenwa do?
- Montreal medtech company using voice AI to derive health insights from infant cries and to automate healthcare front-desk calls.
- Who are Ubenwa's investors?
- Ubenwa's investors include AIX Ventures, Radical Ventures.

