Presage provides the SmartSpectra SDK, a camera‑based software library that enables iOS and Android apps to extract real‑time vital signs—such as pulse, respiration, HRV and facial expression metrics—directly from a smartphone or webcam using AI‑driven photoplethysmography.
Funding
Funding not disclosed
Founders
Product
Problem
Many health and wellness applications require heart rate, respiration, and other vital signs, but obtaining these metrics typically depends on wearables or dedicated contact sensors, which adds cost, complexity, and user friction. This limits the ability of developers to embed real-time physiological monitoring in apps that run on standard smartphones or laptops.
Solution
Presage offers the SmartSpectra SDK, a camera‑based software library that extracts vital signs—including pulse rate, breathing rate, heart‑rate variability (RMSSD), and facial expression metrics—directly from any smartphone or webcam. By leveraging built‑in camera hardware and AI‑driven signal processing, the SDK provides real‑time, contact‑free measurements without additional devices. The platform supplies ready‑made wrappers for iOS (Swift) and Android (Kotlin), requiring only minimal code changes: adding a package dependency, granting camera permission, and inserting a pre‑configured ContentView. Results are delivered as live video previews, confidence‑colored metric values, and waveform visualizations, all accessible through a simple API key and cloud‑hosted analytics.
Target Audience
Primary customers are mobile app developers, digital health platforms, and tele‑medicine providers who need to add contact‑free physiological monitoring to iOS or Android applications.
Features
- Camera‑only vital sign extraction using AI‑based photoplethysmography and motion analysis
- Real‑time pulse, respiration, HRV (RMSSD), and facial expression scores
- Confidence‑colored metric display and arterial pressure, chest, and abdomen waveforms
- iOS (Swift) and Android (Kotlin) SDK wrappers with one‑line integration
- Cloud‑based processing and API key authentication for secure data handling
- Built‑in status and validation feedback to ensure measurement reliability
- No need for additional hardware, wearables, or custom sensor development