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HeartPulse Cardio.AI Monitoring: Pioneering AI in Cardio Health
Leading the Future of Cardiovascular Healthcare with AI Excellence

The ECG Telemetry Monitoring System allows paramedics to monitor heart activity using a LifeSignals ECG device connected to an Android-based tablet in real-time. The data is processed in the cloud-based platform Cardio.AI™, which reports all detected events to the medical response team. The system has 2 ECG Channels, monitors heart rate, detects arrhythmia events and provides time marks for tracking purposes. It also includes a Tactical Combat Casualty Care Card (TCCC Card) and remote access for effective preparation.
1800 Patients Successfully Treated
Our system enables healthcare professionals to make informed decisions, provide timely care, and save lives by sharing real-time data.

In today’s highly competitive business environment, where a company’s effectiveness hinges on the well-being and initiative of its employees, burnout poses a significant threat. Our cardio checkup is designed to support the well-being of employees who may experience irregularities in heart rhythm—a direct consequence of stress and burnout. Regular screenings enable the timely diagnosis and control of heart conditions, ensuring not only health but also sustaining a high level of initiative and productivity within your company.
500+ Employees Successfully Check-Ups
Our initiative for cardio checkups has transformed employees’ lives in various organizations, empowering them to take control of their health and maintain high productivity levels.

A user survey indicated high satisfaction with the functionality and user-friendliness of the Cardio.AI platform. Estimate the percentage of cases where Cardio.AI contributed to the early detection and prevention of heart disease in patients.
100% of partners improved their performance
Thanks to Cardio.AI’s effectiveness, all medical partners have successfully improved the efficiency of cardio services, demonstrating the positive impact of new technologies on clinic and patient outcomes.

The factors of using outdated software, the level of technician training, and time constraints multiply reduce the quality of the output, reducing our chances of detecting exactly the episode we are trying to detect, and negatively affecting the effectiveness of early diagnosis. Sources indicate the quality of manual diagnostics is no higher than 70%.
80 classes by AI detection
Automatic processing, under the full control of a cardiologist
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