Shen AI provides camera-based health monitoring that tracks over 30 vital signs and health markers using only a standard camera feed. The clinically validated technology uses computer vision and AI to deliver real-time biometric data like blood pressure and heart rate in 30 seconds. This solution integrates via SDK into telehealth, insurance, and mobile health platforms to offer contactless health assessments.
Funding
$2.6M 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
Traditional methods of vital sign monitoring often require specialized devices, limiting accessibility and convenience for both patients and healthcare providers. This can lead to infrequent monitoring and delayed detection of potential health issues, especially in remote or resource-constrained settings.
Solution
Shen.AI offers an AI-powered health monitoring solution that measures over 30 vital signs using only a smartphone or computer camera. The platform utilizes remote photoplethysmography (rPPG) and Multi-Tonal Sensing technology to analyze facial data and extract key health metrics, such as heart rate, blood pressure, and BMI, in as little as 30 seconds. This contactless approach eliminates the need for wearables or additional hardware, providing a convenient and scalable solution for virtual triage, telehealth services, and remote patient monitoring. The technology is clinically validated, ensures consistent performance across all skin tones and lighting conditions, and processes data directly on the device to maintain user privacy.
Target Audience
Shen.AI primarily targets healthcare providers, telehealth platforms, insurance companies, and corporate wellness programs seeking to improve patient engagement, reduce costs, and enhance risk stratification through remote health monitoring.
Features
- Measures over 30 health markers, including heart rate, blood pressure, BMI, and heart rate variability, using a standard camera.
- Employs Multi-Tonal Sensing technology to ensure accurate readings across various skin tones and lighting conditions.
- Utilizes remote photoplethysmography (rPPG) and AI-driven video analysis to extract vital signs from facial data.
- Offers a fully customizable SDK for seamless integration into existing mobile and web applications.
- Supports FHIR API for easy integration with electronic health record (EHR) systems.
- Processes data on-device using edge computing to ensure user privacy and data security.
- Provides clinically validated accuracy comparable to traditional monitoring devices.