Cardio.AI Platform

State-of-the-art ECG analytics technology. Extended ECG analysis as a service for 
your precise diagnostic assessment – fast, reliable, simple!

Cardiac Service

Complete remote monitoring solution, we thought of everything end to end so that you can focus on your patients — and on building a world-class cardiovascular program

Cases

Explore the comprehensive details of our successful initiation of multiple pilot projects in the realm of remote online monitoring.

Advancing Heart Health Through AI Innovation

What do we offer:

  1. Web-based access to the Cardio.AI platform, enabling your ECG technicians to work from anywhere, at any time.
  2. No technicians? No problem — our team can provide complete end-to-end extended ECG reporting services for you.

10k+

End-to-end services were provided

40+

Already actively used by partner clinics in Ukraine

20k+

Long-term ECG reports delivered — and counting

Our mission is to develop products to tackle 
real-world problems using cutting-edge advances 
in artificial intelligence.

Frequently Asked Quetions


What medical products/services does your company offer?

1. Access to the cloud-based ECG analytical Cardio.AI ™ Platform for cardiac analysis designed to be used by ECG technicians and cardiologists.
2. Comprehensive end-to-end solution for remote cardiac Holter service for clinics with single-use ECG biosensors.

How can I purchase your services?

Please submit a request through the website’s feedback form, indicating specifically which services you need.

Is the ECG device and Cardio.AI ™ Platform certified?

The ECG biosensor is FDA, CE Mark certified.
Cardio.AI™ Platform: we have successfully obtained CE MDR certification, and we are now working toward FDA clearance, which we expect to achieve in 2026.

Which ECG devices are not supported by the Cardio.AI ™ Platform?

Wellness devices e.g. AppleWatch, SmartWhatches, ECG Cardiograph.

With which devices is the Cardio.AI ™ Platform already integrated?

Bittium, Cortium, LifeSignals, Livetec, Philips, Biomedical Instruments (BI), BTL, ScottCare Holter, Amedtec.

What should be done to check the quality of ECG processing in the Cardio.AI ™ Platform from a new device?

We process ECG signals from any ECG device but the quality of AI-pass somehow depends on the quality of the device’s output. In some cases adding the data from the device to the training set is required, especially for devices with very specific noise. You need to export ECG data and send us a few examples from your device in the following formats: EDF, BDF, SCP, and ZHR to check for processing quality. Please ensure the channels have proper names (like I, II, V5, AFR) – which the neural network requires to process the intra-ventricular blocks properly.
Channel names could be approximate if those are modified leads.
The supported channel names are I, II, III, AVL, AVR, AVF, V1, V2, V3, V4, V5, V6, ES, AS, and AI.

What ECG formats are supported by the Cardio.AI ™ Platform?

The Cardio.AI supported files in the following types: EDF, BDF, SCP, and ZHR. To prepare EDFs use libs like EDFlibor and PyEDFlib (if you use Python). https://pypi.org/project/EDFlib-Python/

Is it possible to integrate via API?

Yes, it is possible, you need to send us the appropriate request through the feedback form on the site.

Who is a Cardio.AI ™ Platform user?

Cardiologist, Cardiologist-technician, Medical staff.

Empower Healthcare Innovation with Cardio.AI monitoring