Welltra offers a contactless health monitoring platform that uses affective AI and Remote Photoplethysmography (rPPG) to capture vital signs such as heart rate and breathing rate through a standard camera and ambient light. The technology provides clinically validated, FDA‑approved metrics in real time, enabling personalized wellness insights without wearable devices. Users can track and optimize their health continuously wherever a camera is available.
Funding
Funding not disclosed
Founders
Product
Problem
Many individuals and organizations lack easy access to continuous, accurate health monitoring because traditional vital‑sign measurements require contact sensors, specialized equipment, or clinical visits, limiting scalability and real‑time insight.
Solution
Welltra offers a platform that leverages affective AI combined with remote photoplethysmography (rPPG) to extract multiple physiological metrics from a standard camera under ambient lighting. By processing subtle facial color changes in the RGB channels, the system derives heart rate, breathing rate, stress index, oxygen saturation, heart‑rate variability, and other vitals without any physical contact. The analytics run locally on the device, ensuring data never leaves the user’s hardware and preserving privacy. Results are delivered instantly through the Welltra app or integrated SDKs, providing personalized health insights and optimization recommendations that can be accessed anywhere a camera is present.
Target Audience
Primary users include health‑conscious consumers, wellness app developers, and healthcare providers seeking scalable, non‑invasive monitoring solutions for preventive care and remote health programs.
Features
- Contactless vital‑sign extraction using clinically validated rPPG from any front‑facing camera (15‑30 fps, 200‑300 lux minimum)
- Real‑time measurement of heart rate, breathing rate, pulse‑respiration quotient, activity level, sleep quality, equilibrium, stress index, oxygen saturation, and heart‑rate variability
- Edge‑computing architecture that processes data locally on iOS, Android, or web browsers, eliminating cloud storage and enhancing privacy
- Mobile SDKs (iOS, Android) and JavaScript web SDK for seamless integration into third‑party applications and smart kiosks
- Two FDA‑approved metrics ensure regulatory compliance and reliability of the health data
- Adaptive signal‑processing algorithms that filter motion artifacts and noise to maintain accuracy across varied lighting and user movement conditions