:: SYSTEM STATUS: ONLINE ::

Decoding the
Human Signal

We combine high-fidelity biosensors with proprietary AI models to predict cardiovascular events before they happen.

Initialize Partnership

The Silent Failure

Cardiovascular disease is a data problem. Current diagnostics miss the subtle, early-warning patterns in endothelial function and heart rate variability.

32% Global Deaths
520M Affected Lives
:: MACHINE LEARNING PIPELINE ::

The Neural Engine

Our proprietary stack processes raw sensor data at the edge, extracting clinical features in real-time.

1. Ingestion

High-frequency sampling of PPG & ECG raw data inputs

[ High Freq Sampling ]

2. Feature Extraction

Advanced signal processing and AI/CNNs

[ Tensor Processing ]

3. Prediction

Risk scoring against our proprietary clinical dataset

[ Risk Score: 98% ]
:: CORE ARCHITECTURE ::

The Aoknos Platform

[ 01 ]

Flow-Mediated Dilation

Non-invasive assessment of endothelial function. We capture vascular reactivity data that standard cuffs miss.

[ 02 ]

AI-Denoising

Proprietary algorithms filter motion artifacts from ambulatory ECGs, delivering clinical-grade fidelity in motion.

[ 03 ]

Predictive Vitals

Real-time streaming of HRV, Oxygen Saturation, and Blood Pressure trends directly to the cloud.

The Team

Ashish Chordia
Chairman
Lampros Kalampoukas
CEO
Umesh Iyer
CTO
Vijay Agarwal
VP Engineering
Sanjay Kuhikar
Founding Engineer