Bairitone Health provides a platform that maps patient anatomy during sleep to pinpoint the root cause of airway obstruction. Using passive sleep sonar and dynamic airway mapping, the system identifies specific obstruction sites beyond standard AHI metrics. This data-driven approach guides healthcare providers in matching precise therapies, improving sleep apnea treatment outcomes.
Funding
$130K 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.
LAFounders
Product
Problem
Millions of individuals suffer from untreated obstructive sleep apnea, but current diagnostic methods often rely on cumbersome MRI, X-ray, or ultrasound imaging, which can be expensive, inconvenient, and may not accurately reflect natural sleep patterns. Existing sleep tests often provide limited insight into the underlying causes and anatomical factors contributing to airway obstruction. This lack of precise diagnostic information leads to trial-and-error treatment approaches and suboptimal patient outcomes.
Solution
Bairitone Health offers an AI-powered platform that assesses patient anatomy during natural sleep to pinpoint the root cause of airway obstruction without requiring MRI, X-ray, or ultrasound. The platform utilizes a passive sleep sonar technology that maps airway vibrations to anatomy using a facial patch. By tracking airway behavior across sleep stages and positions, the solution provides dynamic airway mapping to identify the true site of collapse and flow-limiting restrictions. This enables clinicians to match effective therapies to each patient's unique needs, optimize treatment titration, and monitor surgical results over time. The AI scoring capabilities also offload routine sleep-test scoring, allowing providers to focus on advanced features that provide deeper diagnostic insights and personalized precision medicine approaches.
Target Audience
The primary target audience includes healthcare providers, such as pulmonologists and sleep specialists, seeking advanced diagnostic tools for sleep apnea, as well as treatment developers aiming to identify the right patients for their therapies and optimize treatment strategies.
Features
- Passive Sleep Sonar: Maps airway vibrations to anatomy using a non-invasive facial patch, eliminating the need for MRI, X-ray, or ultrasound.
- Dynamic Airway Mapping: Tracks airway behavior across sleep stages, positions, and other metrics to pinpoint obstruction causes.
- Root Cause Analysis: Distinguishes primary collapses from secondary "domino effects" triggered by nearby obstructions.
- Flow-Limiting Site Detection: Identifies the upstream airflow restriction that triggers downstream collapses, avoiding unnecessary multilevel treatments.
- AI-Powered Scoring: Automates routine sleep-test scoring to offload administrative burden and improve efficiency.
- Therapy Optimization: Titrates treatments in real time to find the optimal balance between effectiveness and comfort for CPAP, HGNS, or MAD.
- Longitudinal Outcome Tracking: Monitors surgical results over time, including tissue remodeling post-procedure, for ongoing insights.
- Multi-Level Collapse Analysis: Detects and analyzes multi-level collapse to provide a comprehensive picture of airway dynamics.