Martin Herman
CEO

PMcardio provides an AI-powered platform for instant interpretation of 12-lead ECGs, detecting over 40 cardiac conditions including STEMI equivalents. The system offers explainability heatmaps to support clinical decision-making for both individuals and healthcare organizations. This validated technology aims to improve the speed and accuracy of cardiovascular diagnosis at the point of care.
Raised to date
$33MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.


Interpreting 12-lead electrocardiograms (ECGs) to diagnose cardiovascular conditions can be time-consuming and requires specialized expertise, potentially delaying critical interventions. Inaccurate or inconsistent ECG interpretation can lead to misdiagnosis and inappropriate treatment, impacting patient outcomes, especially in settings with limited access to cardiology specialists.
Powerful Medical's PMcardio platform leverages artificial intelligence to provide rapid and accurate interpretation of 12-lead ECGs, delivering diagnostic results in under five seconds. The platform digitizes ECGs from various formats, including images captured via smartphone or uploaded from existing systems. AI algorithms, trained on millions of patient outcomes, identify a range of cardiovascular conditions, including STEMI, STEMI equivalents, and arrhythmias. PMcardio generates standardized reports with explainability heatmaps, highlighting the key ECG features that influenced the AI's diagnosis, enhancing clinician confidence and facilitating efficient care coordination. The platform supports integration with existing hospital systems and EHRs, ensuring seamless workflow integration and data accessibility across the care pathway.
The primary target audience includes cardiologists, emergency medicine physicians, primary care providers, and other healthcare professionals involved in cardiovascular care, as well as hospitals and healthcare systems seeking to improve the speed and accuracy of ECG interpretation.