The startup develops artificial intelligence technology that utilizes machine learning algorithms to extract complex health biometrics, such as cardiovascular and respiratory data, from audio captured by standard microphones. This enables healthcare providers to efficiently gather and analyze detailed health information at scale without the need for specialized equipment.
Funding
$1.6M 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.
AVIURFSSFounders
Product
Problem
Traditional health screening methods often require specialized equipment and in-person visits, making frequent and comprehensive health monitoring inaccessible and costly for many individuals. This lack of accessible screening leads to delayed detection and prevention of common cardiovascular, respiratory, neurological, and gastrointestinal diseases.
Solution
Decorte Future Industries offers SoNUS AI, a Sound-based Natural Understanding System that extracts complex health data from audio recordings captured by standard microphones, including those found in smartphones. This technology enables high-level screening for cardiovascular, respiratory, neurological, and gastrointestinal issues through automatic auscultation powered by machine learning and digital signal processing. By analyzing audio data, SoNUS AI can detect early signs of health problems, such as heart murmurs and atrial fibrillation, without the need for specialized devices or expert consultations. The system's capabilities are continuously expanded through clinical studies, with a focus on deploying the AI primarily on smartphones to democratize access to comprehensive health screening.
Target Audience
The primary target audience includes insurers, healthcare providers, and individuals seeking accessible and cost-effective health screening solutions, as well as automotive manufacturers and asset managers.
Features
- AI-powered analysis of audio collected via standard microphones for health screening
- Detection of cardiovascular, respiratory, neurological, and gastrointestinal health signs
- Algorithms for heart rate variability, heart rate extraction, arrhythmia, and murmur detection
- Respiratory rate extraction and cough detection algorithms
- Analysis of fatigue, inebriation, and other states through audio analysis
- Multi-model AI that expands to an audio-to-health foundation model
- Ability to re-analyze previously collected audio files for new health markers