Cardiovolt.ai - AI-Powered ECG Analysis for Cardiovascular Disease Prediction | Imperial College London

Predictive Cardiology Platform

A hidden signal exists in every ECG

Cardiovolt transforms routine ECG recordings into predictive clinical intelligence, helping healthcare systems identify cardiovascular risk earlier and intervene with greater confidence.

20+
Years Data
15+
AI Publications
15+
Awards
12-lead ECG waveform
12-LEAD · 500 Hz
European Heart Journal The Lancet Digital Health JAMA Cardiology npj Digital Medicine Imperial College London

The Platform

Emerging AI-ECG Company Delivering AI Heart Insights

Cardiovolt.ai is a pioneering AI-ECG company specializing in artificial intelligence ECG analysis. Our cutting-edge AI heart insights platform provides unparalleled cardiovascular disease prediction and diagnostic capabilities.

01

Advanced AI-ECG Analysis

Clinically validated machine learning algorithms interpret 12-lead ECG signals and images, delivering diagnostic accuracy rates exceeding 80% for multiple cardiovascular conditions.

02

Predictive Heart Intelligence

Our AI models detect subtle ECG patterns invisible to human interpretation, identifying cardiovascular disease risk years before clinical symptoms manifest in patients.

03

Research-Grade Validation

Trained on two decades of longitudinal patient outcomes, with validation across 6M+ ECG recordings from four continents.

Publications

Original publications in high impact journals

Our research published in leading medical and scientific journals worldwide

European Heart Journal
The Lancet Digital Health
JAMA Cardiology
npj Digital Medicine
2025 European Heart Journal

AI-enhanced electrocardiography to predict regurgitant valvular heart diseases

An international study where AI predicts valvular heart diseases.

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2024 The Lancet Digital Health

AI-enhanced electrocardiography for sex-related cardiovascular risk continuum

Identifying sex-related cardiovascular risk patterns using AI-enhanced ECG analysis.

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2024 The Lancet Digital Health

AI-enabled electrocardiogram for mortality and cardiovascular risk estimation

Our platform validation study for predicting future cardiovascular outcomes.

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How It Works

Clinical ECG in, predictive intelligence out

Every ECG contains far more information than conventional interpretation reveals. Cardiovolt extracts subtle digital biomarkers from existing recordings — no additional hardware, integrating seamlessly into existing clinical workflows.

Step 01

Record ECG

Standard 12-lead ECGs — compatible with both digital signals and image formats.

Step 02

Upload & analyse

Advanced algorithms process each recording in under a second, extracting digital biomarkers.

Step 03

Detect & predict

Early detection and prediction of cardiovascular disease — before symptoms appear.

Team

Meet Our Team

Leading experts in cardiology, technology, and healthcare innovation

Boroumand Zeidaabadi

Boroumand Zeidaabadi

CEO

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Dr Arunashis Sau

Dr Arunashis Sau

CSO

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Prof Fu siong Ng

Prof Fu Siong Ng

CMO

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Dr Libor Pastika

Dr Libor Pastika

CTO

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Ranjit Paulraj

Ranjit Paulraj

Head of Software Eng.

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As Featured In

Leading publications covering our innovative approach to heart health

The Guardian
The Telegraph
The Independent
Evening Standard

The Opportunity

Clinical scale

5M+
ECG recordings analysed across longitudinal clinical datasets
4
Continents represented within training and validation cohorts
80%+
Diagnostic accuracy sustained across multiple cardiovascular conditions
15+
Clinical models spanning predictive and diagnostic tasks
20+
Years of longitudinal patient outcome data underpinning training
<1s
Median analysis time from ECG upload to clinical output

Validated

Clinically proven. Globally validated.

Delivering high accuracy in cardiovascular risk assessment, validated across 4 continents and 5M+ ECGs.

Predictive Performance

Complete Heart Block 86%
Mortality Risk 82%
Atrial Fibrillation 82%

Diagnostic Performance

Aortic Stenosis 82%
Left-ventricular Dysfunction 93%
Tricuspid Regurgitation 81%

Experience comprehensive clinical diagnostic models and accuracy metrics

FAQ

Frequently asked questions

Learn more about ECG technology and how AI can predict future cardiovascular disease.

Get Started

Predict disease before symptoms appear.

Read the Research