Device-free
no extra hardware required
AI-powered respiratory decision support for young children — using only a smartphone camera.
Children under five are among the most difficult patients to assess objectively during respiratory illness. Traditional lung function tools are often impractical in this age group, and decisions are frequently made under uncertainty — at home, in primary care, and in resource-limited settings. The result is a persistent detection gap: delayed recognition of deterioration, unnecessary emergency visits, and missed opportunities for earlier intervention.

BREASY uses smartphone video analysis to assess breathing motion patterns from the chest and abdomen and generate objective respiratory decision-support outputs. Proof-of-concept evidence for this approach is provided by our peer-reviewed work in Cureus (2025).

no extra hardware required
no sensors attached to the child
brief capture during routine care or home monitoring
designed for real-world use, including low-resource settings
built around respiratory motion and effort-related features
Our technology turns a short smartphone video into objective respiratory indicators — helping bridge the critical gap between early symptom onset and severe deterioration.
Capture a short smartphone video of the child's chest and abdominal breathing.
BREASY analyzes respiratory motion patterns and derives objective indicators of respiratory status.
The platform presents clinically interpretable outputs that help identify children who may require escalation, closer monitoring, or urgent evaluation.
BREASY is being developed to support respiratory decision-making across multiple care environments — from the home to the clinic to low-resource frontline care.
BREASY is being developed with a clear global-health mandate — to bring objective respiratory assessment to frontline providers and caregivers in LMIC settings, where access to specialist care and diagnostic tools is limited. Local partnerships are in place in the DRC (Democratic Republic of Congo), supporting planned implementation alongside community health workers and frontline clinicians.

Supports families and clinicians when respiratory symptoms begin or worsen, helping reduce guesswork and improve communication.
Particularly relevant for preschool children, where objective monitoring options are limited and early recognition of deterioration is critical.
Supports more standardized respiratory assessment during routine clinical evaluation.
Designed with future application in low-resource settings (LMIC), where early identification of respiratory distress may improve triage and referral decisions.
BREASY is being developed on the basis of clinical respiratory research, computer-vision methods, and prospective pediatric datasets — including a peer-reviewed proof of concept in Cureus (2025), multicenter pediatric data from Israel and Canada, and ongoing collaborations across DRC and global LMIC settings.
CEO
Expert in management including cyber and biometrics. Medical startup advisor.
CMO
Pediatric pulmonologist and clinician-researcher for almost 40 years.
CTO
AI, cybersecurity, and entrepreneurship expert. 26-time patent holder.
BREASY is intended to support respiratory assessment and triage-related decision-making. It is not intended to replace clinician judgment, emergency evaluation, or standard-of-care assessment. Any final clinical decision, referral, or treatment action remains the responsibility of the healthcare professional.
For parents and caregivers: if a child appears severely unwell or in respiratory distress, seek urgent medical care immediately.
Regulatory status: BREASY is currently under development. It is not cleared, approved, or authorized as a medical device by the FDA, Health Canada, EU CE mark, the Israeli Ministry of Health, or any other regulatory authority. Availability and indications for use may vary by jurisdiction.
Whether you are a clinician, health system partner, researcher, or strategic collaborator, we would welcome the opportunity to connect.