About AI-ECG
We're on a mission to improve cardiac care through AI. Founded by clinicians and technologists who believe every patient deserves access to expert-level cardiac analysis.
Our Mission
"To enable accurate and affordable solutions for the early detection of heart disease."
Our Story
AI-ECG was founded in 2019 by a team of cardiologists and AI researchers who saw a critical gap in cardiac care: the expertise needed to interpret ECGs accurately was concentrated in major academic centers, leaving millions of patients without access to specialist-level cardiac analysis.
Our founders experienced this firsthand. Working in both urban hospitals and rural clinics, they saw how the same ECG could be interpreted differently depending on who read it and where the patient lived.
We built AI-ECG to democratize access to expert cardiac interpretation. Our technology doesn't replace clinicians—it amplifies their capabilities, ensuring every patient gets the same high-quality analysis regardless of where they receive care.
Founding team photo
Patient First
Every decision we make starts with the question: how does this help patients?
Clinical Partnership
We build with clinicians, not for them. Their expertise shapes our technology.
Evidence-Based
Our claims are backed by rigorous research and real-world validation.
Continuous Improvement
We never stop learning from our customers and improving our algorithms.
Leadership Team
Clinicians, researchers, and engineers united by a common mission
Board of Directors
Guiding our strategic direction and governance
Andrew Simpson
Chairman
Robert Eno
Director
Mark Hilz
Director
David Wells
Director
Yuri Maricich, MD
Director
Scientific Advisors
World-class experts advancing our research and clinical validation
Partho P. Sengupta, MD
Ben Glicksberg, PhD
Girish Nadkarni, MD
Jordan Strom, MD
Akhil Vaid, MD
Joshua Lampert, MD
Ready to Improve Cardiac Detection?
See how 12 validated algorithms can help your clinicians detect cardiac dysfunction earlier. Schedule a 30-minute demo with our clinical team.