We provide healthcare institutions with a seamless, full-service service, eliminating the typical logistical and processing burdens associated with long-term ECG monitoring. This comprehensive offering includes devices, logistics, automated analysis, and rapid, finalized reports that always include full physician review. This design allows clinicians to focus exclusively on patient care and treatment decisions.

Cardio.AI is fundamentally transforming cardiac analysis and reporting. With 7,000+ patient ECGs analyzed and reports generated, our system provides healthcare professionals with the precise, early information needed to diagnose and manage heart conditions. This clinical value is reflected in a 100% improvement in service efficiency reported by our medical partners, demonstrating the positive impact of validated, regulated AI on both clinic operations and patient outcomes. We can also integrate with and process data from the client’s own ECG monitoring devices, offering the ability for clinics to either outsource the full report cleanup to us or utilize the platform themselves to clean and analyze their ECG files.

Addressing the direct link between professional stress and cardiac health, our Corporate Cardiology Check-Up is a strategic tool. It allows companies to invest in the well-being of their workforce by providing rapid, accurate, and proactive cardiac screenings, identifying health risks early and sustaining high levels of productivity.

We offer research organizations comprehensive services to execute high-scale cardiology studies efficiently. Our expertise allows for the rapid implementation of ECG monitoring protocols (up to 7 days) across large cohorts, ensuring the swift and accurate data processing critical for timely project completion and the publication of findings.

Technical accuracy is non-negotiable in MedTech. The high performance and regulatory compliance of Cardio.AI are founded upon a massive, meticulously curated training dataset. This foundation allows us to handle the most challenging datasets, including complex, long-duration monitoring files, with confidence and precision.

Long-term ECG processing with the highest possible quality is inherently difficult due to factors like the technician’s training level, time constraints, and the software used. These challenges act as downward multipliers, reducing the chance of spotting a critical, singular episode and affecting the overall efficiency of early detection and prevention. Multiple sources suggest the accuracy of manual long-term ECG processing remains as low as 70%-75%. Read our WhitePaper for more information.