Prevayl develops wearable technology that integrates textile sensing and body area networks to monitor health metrics in real-time. Their SmartWear™ line features clinical-grade ECG capabilities, addressing the need for accurate health monitoring in sports and fitness apparel.
Funding
$10.6M 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.
Founders
Product
Problem
Existing wearable health-monitoring solutions often lack the accuracy and comprehensive data needed for clinical-grade insights, limiting their utility for serious athletes, individuals with health conditions, and occupational safety applications. Integrating advanced sensing technology into comfortable and functional apparel remains a significant challenge.
Solution
Prevayl Innovations develops and licenses intellectual property related to wearable technology, specializing in textile-integrated sensors and body area networks for real-time health monitoring. Their IP portfolio covers innovations in areas such as knitted electrodes, manufacturing techniques for integrating sensors into fabrics, and communication protocols for wearable devices. The company's technology enables the creation of smart clothing and other wearable devices capable of capturing high-precision health and activity data, offering insights into recovery, cardiovascular health, and fitness levels. Prevayl's innovations aim to improve the accuracy, comfort, and functionality of wearable health monitoring solutions across various applications.
Target Audience
Prevayl's primary customers are manufacturers of wearable devices, smart clothing, and other on-body sensor systems, as well as companies in the sports, fitness, healthcare, and industrial safety sectors.
Features
- Textile sensing solutions that integrate high-precision health and activity monitoring directly into fabrics.
- Body area network technology for intelligent communication between wearable sensors and other devices.
- Algorithms for estimating recovery, cardiovascular health, and fitness levels.
- Innovations in wearable device hardware, focusing on small form factor, reduced power consumption, and enhanced sensor functionality.
- On-device machine learning for efficient and accurate processing of raw sensor data.
- Wireless power charging solutions for wearables.
- Augmented and virtual reality integration with wearable data.