Cardiovolt.ai

Cardiovolt transforms routine ECG recordings into predictive clinical intelligence

The Challenge

Cardiovascular disease is diagnosed too late — after symptoms, hospitalisation, or death. Existing ECG interpretation, risk scores and imaging detect established disease, not future disease. Clinicians have no cheap, scalable way to identify who will deteriorate, so care stays reactive when it could be preventive

The Opportunity

Cardiovolt.ai turns a standard ECG into a multi-disease risk panel. Our AI detects hidden disease today and predicts 17 cardiac and non-cardiac conditions years ahead, with time-to-event estimates and per-model explainability. It reads ECG signals or photographs of paper ECGs — software only, no new hardware.

The team

Boroumand Zeidaabadi

CEO

Arunashis Sau

Co-Founder

Industry / Sector

AI Biotechnology and Medical Research Digital Health Health and Hospital Services Health IT Medical Device SaaS

The Venture

Business Model

Two streams. Health systems pay per ECG analysed, integrated into existing workflows – recurring and scalable as hospitals analyse continuously. Pharma pay per patient for trial enrichment, recruitment and post-market identification. Marginal cost is cloud compute alone, giving 75–90% contribution margins from the first ECG.

Competition

Direct AI-ECG rivals detect single conditions at time-zero. EchoNext, PMcardio and Anumana are US or acute-care only. iRhythm and AliveCor depend on proprietary hardware. We are software-only, dual-jurisdiction, and the only platform giving 17-condition time-to-event prediction from either ECG signal or image.

Traction

Cardiovolt.ai has achieved significant clinical validation and market recognition. Our AI models have been validated across 6M+ ECGs spanning 4 continents (US, UK, China, Brazil), demonstrating robust, generalisable performance with over £2M in research funding from the British Heart Foundation. We’ve secured major media coverage in The Guardian (front page). Multiple sites awaiting FDA submission for early pilot.

Cardiovolt.ai

The Challenge

The Opportunity

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The team

Stage

Programme

Industry / Sector

Cohort

The Venture

Business Model

Competition

Traction

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