Web platform
State-of-the-art ECG analytics technology
Extended ECG analysis as a service for your precise diagnostic assessment – fast, reliable, simple!
Easy-to-use
- Access from anywhere 24/7
- Supports the main ECG data formats
- User-fiendly design
Accurate analytics
- 80+ classes detection
- Up to 35 days ECG duration
- EU MDR and ISO 13485 Certification
Fast service
- 1 minute of AI analysis per 24-hour ECG
- 90% of the work is done by AI
- ECG technician support
A cloud-based analytical platform for high-level cardiac analysis and reporting for ECG technicians and cardiologists.
- Increased depth of analysis (80+ detection classes, ST, HRV, etc.)
- 24/7 online access to ECG data for doctors
- Ability to process cardiac data from any type of ECG device *
- Complete, clinician-ready analysis report based on the patient’s ECG data.
- The speed and accuracy of ECG annotation and interpretation is one of the best on the market
- Localization in Ukrainian/English languages
* Wellness devices e.g. AppleWatch, SmartWatches, and ECG Cardiographs are not supported. Already validated: Bittium, Cortium, LifeSignals, Livetec, BTL, ScottCare Holter, Amedtec, Phillips.
Cardio.AI classifies 80+ beat and rhythm abnormalities
What can detect:
General:
- Automatism (Bradycardia, Tachycardia, СА Block (II, III), Asystole)
- Excitability (Rhythm: Sinus, Atrial, Nodal, Ventricular)
- Conductivity (AV Block (I, II, III), AV Dissociation, Intraventricular Block)
- Pre-excitation (Wolf-Parkinson-White syndrome, Lown-Ganong-Levine syndrome)
Ectopia: Supraventricular, Ventricular, Tachycardia, Fibrillation/Flatter
PQRST: PQ int/segment, QT (QTc), QRS, ST abnormalities
High-Quality Assessment and Analysis Report
- For Physicians and attending Clinicians all the above transforms into high-quality reports that frequently contain references to the strips that would be otherwise hard or even impossible to spot with conventional Holter processing pipelines.
- The software resides completely in the cloud, leading to another strong point – the ability of doctors to access the evidence online, from anywhere.
- The report becomes clickable for all the statistics and strips, leading to the signal in context.
- This allows for any depth of exploration, particularly for patients with multiple arrhythmia types. It opens the internals of the record to the attending clinician, helping to build trust between the doctor and a diagnostic center.
AI-assisted processing
- AI’s classification ability sets the quality standard, supporting clinics and healthcare providers with high-quality assessment output.
- The Cardio.AI platform already understands almost any possible arrhythmia or conduction issue, and the team is constantly working towards reaching full coverage, including even rare arrhythmias, achieving a state of clinical excellence in ECG interpretation.
- The process of improving the AI is conceptually very simple: the team continuously adds challenging data strips to the training pipeline, eventually ensuring the quality converges to be above 90% on any particular arrhythmia class, with some classes, like Atrial Fibrillation or Ventricular ectopic rhythms, consistently performing above 98%. This high level of consistent performance is what enables the specialist to focus on validation, not manual counting.
Advantages of AI-assisted processing
01
Efficient System
Most of the labor-intensive work is performed by AI, the specialist’s ECG is only required to verify the result
02
Intelligent
Reducing the rate of human error by focusing the specialist’s attention on critical, unverified segments, thereby improving the overall accuracy of the final report.
03
Fast
Less than 10 min of technician’s time per 1-7 days record. Processing time changes only minimally as the ECG length increases.
The Cardio.AI technology is 
based on deep learning using generative networks as building blocks and a high-performance 
analytical backend on top of the network’s output.
Trusted partners
Client Feedback and Clinical Experience
I use Cardio.AI every day for the initial interpretation of ECGs. The algorithm detects subtle deviations that can be missed during a quick consultation, improving diagnostic confidence and speeding up decisions. In complex cases, I rely on the system’s explanations as an additional viewpoint when discussing findings with colleagues. Over time, Cardio.AI has become a reliable diagnostic assistant in my daily routine.
Dr. Artem H.
Cardiologist
The most valuable aspect of Cardio.AI is the speed and reliability of its results. I receive a preliminary analysis before even opening the patient’s chart, which helps me focus on key details right away. The interface is intuitive, and the analytics clearly show both numerical indicators and graphical trends. Thanks to the system, I spend more time with patients rather than processing data. It has become a natural part of my workflow.
Dr. Serhiy K.
Cardiologist
Cardio.AI helps me quickly identify pathologies, especially during high patient flow. The system reliably recognizes more than 30 types of abnormalities and includes clear explanations for every finding. Since adopting it, the number of repeat tests caused by errors has decreased, and patients receive their results immediately after the procedure. Cardio.AI has improved accuracy, efficiency, and overall confidence in daily diagnostics.
Dr. Natalia O.
Cardiologist
Trusted partners
Client Feedback and Clinical Experience
Cardio.AI has become a core part of our clinic’s digital transformation. Before its adoption, ECG processing was slow and staff were overloaded with routine work. With the system in place, analysis now takes minutes instead of hours, and accuracy has improved. Physicians receive clear reports with explanations, while administrators get structured analytics. This upgrade elevated service quality and strengthened patient trust in the clinic.
Dr. Halyna E.
Director of Alcor Clinic
Cardio.AI has significantly improved our workflow. The system integrated seamlessly with our medical records, and all ECG data is now stored centrally and accessible from any workstation. It also generates reports for insurers and regulatory checks, reducing manual tasks and minimizing errors. Thanks to this automation, we maintain high-quality care even as workloads increase. Cardio.AI has become an essential tool for efficient clinical operations.
Dr. Oksana H.
Director of Serdenko Clinic
Cardio.AI became a strategic investment for our telemedicine development. The system provides consistent diagnostic quality even in remote regions: patients record ECGs locally, while the neural network analyzes them instantly and makes results available to specialists. This reduced errors, accelerated patient routing, and strengthened trust in our services. Cardio.AI clearly enhances the doctor’s capabilities rather than replacing them.
Dr. Uliana S.
Director of Tesla Clinic
Trusted partners
Client Feedback and Clinical Experience
Learning to use Cardio.AI took less than an hour because everything is intuitive. Even colleagues who previously worked only with paper records adapted quickly. The system is stable, stores data securely in the cloud, and eliminates the risk of loss. Patients are often impressed that results appear almost instantly, creating a sense of modern, high-quality service. Cardio.AI enhances both workflow and patient experience.
Dr. Vitalii B.
Deputy Medical Director
Cardio.AI has greatly simplified our team’s workload. Previously, ECG data had to be transferred manually after each examination, which was slow and prone to mistakes. Now results are uploaded automatically and appear within seconds. Paperwork has also decreased because reports are generated by the system, allowing the staff to focus on patients instead of documentation. This has improved efficiency and reduced routine pressure.
Dina T.
Cardiology Department Nurse
Cardio.AI made diagnostics faster and more convenient. After connecting the device, results appear instantly, and I can send them to a physician even during the consultation. If the system detects potentially dangerous changes, I receive immediate alerts. This adds a valuable layer of safety for patients and speeds up clinical decisions. Using Cardio.AI feels like working with a tool of the future that meaningfully improves daily medical practice.
Natalia L.
Cardiology Department Nurse
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