We combine high-fidelity biosensors with proprietary AI models to predict cardiovascular events before they happen.
Initialize PartnershipCardiovascular disease is a data problem. Current diagnostics miss the subtle, early-warning patterns in endothelial function and heart rate variability.
We start with the signals today's devices capture — and systematically add the markers that predict cardiovascular events years before they occur.
Our proprietary stack processes raw sensor data at the edge, extracting clinical features in real-time.
High-frequency sampling of PPG & ECG raw data inputs
Advanced signal processing and AI/CNNs
Risk scoring against our proprietary clinical dataset
Non-invasive assessment of endothelial function. We capture vascular reactivity data that standard cuffs miss.
Proprietary algorithms filter motion artifacts from ambulatory ECGs, delivering clinical-grade fidelity in motion.
Real-time streaming of HRV, Oxygen Saturation, and Blood Pressure trends directly to the cloud.
Standard wearables count steps. Clinical monitors require clinic visits. Neither was built to catch cardiovascular disease early — we were.
Consumer wearables capture surface-level metrics. They cannot measure vascular reactivity or endothelial function — the earliest known indicators of cardiovascular risk.
Ambulatory ECG degrades the moment a patient moves. Most wearable ECGs are only reliable at rest, limiting their clinical value to static snapshots.
Each metric is evaluated independently. A single high reading triggers an alarm — but no device synthesizes the full picture into an actionable risk assessment.
Flow-Mediated Dilation requires specialist equipment, a trained technician, and a hospital visit. It is never available continuously or at the point of care.
We are the first platform to bring Flow-Mediated Dilation into an ambulatory form factor, alongside a full suite of cardiovascular biosignals captured continuously.
Our proprietary AI denoising removes motion artifacts in real time, delivering clean, clinically interpretable ECG data whether the patient is resting, walking, or exercising.
Our ML engine synthesizes every captured signal — HRV, SpO2, FMD, ECG morphology — into a single, longitudinal cardiovascular risk score that evolves with the patient.
Edge-processed on the device. No clinic visit required. Clinicians receive structured risk reports continuously, enabling intervention before symptoms appear.