The startup has developed a neonatal neurotechnology platform that utilizes AI-enhanced EEG testing to facilitate early detection of brain injuries in newborns. This technology enables healthcare providers to identify brain abnormalities without requiring specialist training, improving neonatal care outcomes.
Funding
$1.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Early detection of brain injuries in newborns is crucial for timely intervention, but traditional neonatal EEG requires specialized equipment, trained personnel, and is often unavailable in many hospitals. This lack of access can lead to delayed diagnoses and missed opportunities for early treatment of newborns at risk.
Solution
CergenX Wave is an AI-powered neonatal neurotechnology platform designed to facilitate rapid assessment of newborn brain function at the point of care. The system uses a portable 2-channel EEG amplifier and a medical-grade tablet to record brain activity in just 10-15 minutes. Its AI algorithms, built upon decades of research and data from the INFANT Research Centre, provide objective decision support by analyzing EEG patterns and generating a simple "pass" or "fail" result. This enables healthcare professionals, even without specialized EEG training, to quickly identify newborns at highest risk of brain injury and make informed decisions regarding patient care. The cloud-based AI allows for continuous updates with the latest state-of-the-art AI models, ensuring exceptional performance, adaptive scalability, and compliance control.
Target Audience
The primary target audience includes healthcare professionals in hospitals and neonatal intensive care units (NICUs) who need a reliable and accessible tool for early detection of brain injuries in newborns.
Features
- Portable 2-channel EEG amplifier for convenient bedside assessment
- Medical-grade tablet with CergenX Wave software for data acquisition and analysis
- AI-powered algorithms trained on a large database of neonatal EEG recordings
- Automated EEG assessment providing a clear "pass" or "fail" result in 15 minutes
- Cloud-based platform for seamless delivery of AI model updates and scalability
- Initial quality check of electrode connections to ensure accurate readings
- Secure data transmission and storage with compliance control