Cordys Analytics is a healthtech spin‑out from the University Medical Center Utrecht (UMCU) developing AI‑driven diagnostics for electrocardiograms (ECGs). Our mission is to improve and accelerate the detection of heart disease by delivering reliable, vendor‑agnostic AI algorithms that integrate into clinicians' workflows. We combine clinical expertise, large annotated ECG datasets and modern deep‑learning methods to enable earlier, more accurate diagnosis while helping keep healthcare affordable and sustainable.

We develop the Galvo AI‑ECG platform and related algorithms for a wide range of cardiac conditions (from rhythm disorders to heart failure) and settings (prehospital, general practice, hospital and wearable devices). Cordys maintains strong academic collaborations, a track record of peer‑reviewed publications, and has secured grants and certifications to support clinical validation and commercial roll‑out.

Headquartered at the UtrechtInc incubator, the multidisciplinary team includes clinicians, engineers, AI researchers and regulatory experts focused on safe, explainable and regulatory‑compliant deployment of ECG‑AI tools.