Binah.ai provides an AI-powered, video-based health data platform that enables users to measure vital health indicators such as blood pressure and heart rate using the camera on their smartphones, tablets, or laptops. This technology addresses the need for accessible and cost-effective health monitoring by eliminating the requirement for dedicated hardware and allowing real-time health data collection.
Funding
$39.7M 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 health monitoring often require specialized equipment or clinical visits, creating barriers to frequent and convenient health data collection. This can lead to delayed detection of health risks and hinder proactive health management.
Solution
Binah.ai offers a software-based health data platform that utilizes AI and video processing to measure a range of vital signs and health indicators via a smartphone, tablet, or laptop camera. The platform analyzes an rPPG signal extracted from the user's face to provide real-time measurements of blood pressure, heart rate, heart rate variability, oxygen saturation, and breathing rate. Additionally, the platform supports continuous monitoring using external PPG sensors. The technology is delivered as a software development kit (SDK) for seamless integration into existing applications and workflows, enabling accessible and cost-effective health monitoring without dedicated hardware.
Target Audience
The primary target audience includes businesses in healthcare, insurance, and wellness industries seeking to integrate remote health monitoring capabilities into their applications and services.
Features
- Video-based vital signs monitoring using a smartphone, tablet, or laptop camera
- Measures blood pressure, heart rate, heart rate variability, oxygen saturation, and breathing rate in 35-60 seconds
- Continuous monitoring support via external PPG sensors
- AI-powered analysis of rPPG signals for accurate measurements
- SDK for easy integration into existing apps and workflows
- Fall detection feature using gyroscope and accelerometer data from wearable sensors
- Blood test capabilities for Hemoglobin and Hemoglobin A1c
- Risk detection for ASCVD, hypertension, and diabetes