Cardiomatics

by Cardiomatics  · Based in Poland → — AI to cardiac diagnostic and treatment.
Cardiology Emergency Medicine Internal Medicine
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Overview

Cardiomatics is a cloud-based, AI-powered software designed for the analysis of ambulatory (Holter) ECG tests. It is intended for use by cardiac clinics, general practitioners (GPs), and other healthcare professionals involved in cardiac diagnostics.

  • What it does: Cardiomatics utilizes AI algorithms to analyze Holter ECG signals, aiming to provide accurate and consistent results for cardiac diagnostic and treatment purposes. The system automates the detection and analysis of various heart abnormalities and disorders, including atrioventricular block detection of 2nd and 3rd degrees.
  • Who it is for: The software supports cardiac clinics with comprehensive tools for precise diagnostics and offers GPs quick insights for early detection and referral. It is also designed for partners seeking platform integration.
  • How it fits a clinical or practice workflow: Physicians can upload Holter ECG signals to the cloud-based platform and then download a generated report. The system runs in a web browser, requiring no installation and offering immediate access from various devices. An integrated ECG viewer allows cardiologists to access raw signals directly within the Cardiomatics web panel.
  • Notable capabilities: Cardiomatics’ AI algorithms have been trained on extensive Holter ECG data. The platform is compatible with over 60 Holter ECG devices and is designed for integration with hospital systems. It is a CE/MDR certified medical-grade software.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • AI-powered ECG analysis algorithms (trained on over 8 million hours of Holter ECG data)
  • Cloud-based platform with secure and compliant infrastructure (81 international security certificates, including ISO 27000 and ISO 27001)
  • Interoperability with over 60 Holter ECG devices and hospital systems
  • Web browser accessibility (no installation required)
  • Automated detection of over 20 significant anomalies, including AFib/Flutter, SVT, VT, pauses, and AV blocks
  • Easy-to-read, exportable PDF reports
  • HRV (Heart Rate Variability) analysis
  • ECG signal viewer
  • 3 years of data storage
  • Fast-track analysis and new layout for quicker review of findings

Use Cases

  • Comprehensive cardiac diagnostics for cardiac clinics
  • Quick and reliable insights for early detection and referral in general practice
  • Streamlining workflow and reducing analysis time for cardiologists
  • Enabling smaller practices to offer ECG analysis without specialist referrals
  • Supporting clinical research and academic education in cardiology
  • Expanding medical portfolios for partners and distributors with AI-powered ECG analysis software

What Physicians Need to Know

ECG/EKG Analysis Capability
Cardiomatics is a cloud-based, AI-powered medical-grade software (CE/MDR certified) specifically designed for analyzing ambulatory (Holter) ECG tests. Its machine learning algorithms have been trained on over 8 million hours of Holter ECG data, ensuring precise and consistent results. The platform automates ambulatory ECG interpretation, aiming to cut analysis time by up to 80% and reduce patient waiting time for diagnosis by 36%. It detects over 20 significant anomalies, including AFib/Flutter, SVT, VT, pauses, and AV blocks (2nd and 3rd degrees). The software also provides HRV (Heart Rate Variability) analysis and an ECG signal viewer.
Arrhythmia Detection Accuracy
Cardiomatics' AI algorithms have demonstrated a 99.8% correlation in AF (Atrial Fibrillation) detection when compared to manual physician assessment in a clinical study with University Hospital Basel. The system aims to provide accurate and high-quality results for various cardiac arrhythmias.
Heart Failure Risk Prediction
Cardiomatics primarily focuses on arrhythmia detection and ECG analysis. While AI applied to ECGs can predict heart failure risk, Cardiomatics does not explicitly highlight this as a feature.
Cardiac Monitoring Integration
Cardiomatics is compatible with over 60 Holter ECG devices and is designed for seamless integration with hospital systems. It can analyze ECG data exported from various external recorders and systems in compatible digital formats, including Holters and Patch ECG recorders. The platform runs entirely in a web browser, requiring no installation.
AHA/ACC Guideline Alignment
Cardiomatics uses certified algorithms that are compliant with cardiological guidelines. The platform is a CE/MDR certified medical device, indicating adherence to European medical device regulations.
Real-Time Alert Capability
While Cardiomatics significantly speeds up ECG analysis and provides quick insights, its primary function is generating comprehensive reports for physician review rather than real-time alerts. The system aims to accelerate diagnosis and reduce the time for doctors to interpret and make a final diagnosis.
Physician Tip

Cardiomatics can significantly reduce the time spent on Holter ECG analysis, allowing for increased efficiency and the ability to process a higher volume of tests. The high correlation in AF detection (99.8%) with manual assessment suggests reliable results. The web-based, hardware-agnostic nature of the platform makes it easily accessible and integrable into existing workflows with various Holter devices. Physicians can leverage the detailed reports and morphology analysis to quickly identify and understand groups of abnormalities, aiding in precise diagnosis.

Cardiomatics is designed for interoperability, compatible with over 60 Holter ECG devices and ready to integrate with hospital systems. It can analyze ECG data from various external recorders and systems, including Holters and Patch ECG recorders, provided the data is in a compatible digital format. The platform runs entirely in a web browser, eliminating the need for installation and allowing immediate access from any device. Cardiomatics has also established sales cooperation with companies like Biotronik to distribute its AI-powered ECG analysis solution alongside their ECG-Patch Holter Monitors.

Details

Category Cardiology AI, Lab & Diagnostics
Pricing Paid, credit-based or subscription
  • 100 credits pre-paid package: 13.79 EUR per credit (1379 EUR total); Credit usage depends on signal length (e.g., 1 credit for 2 min - 48h signal, 4 credits for 7-14 days signal); Customized pricing based on features and volume; Volume-based subscription and patient data processing available; Cardiomatics Pro for advanced options
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Unknown AI-estimated

Cardiomatics is CE/MDR certified as a Class IIa medical device in Europe. It was the world's first AI-based solution approved as a medical device in Europe. There is no information available regarding FDA clearance for Cardiomatics in the provided search results.
Integrations
EHR Not specified
Specialties Cardiology, Emergency Medicine, Internal Medicine

What the Web Says

Cardiomatics is an AI-powered, cloud-based software designed for analyzing Holter ECG tests, aiming to streamline cardiac diagnostics and reduce the workload for medical professionals. Physicians highlight its ease of use, accuracy, and significant time-saving capabilities compared to manual analysis. The platform has been clinically validated and is used by hundreds of cardiologists and general practitioners across various countries.

Overall: Positive

Strengths

  • Significant time-saving for cardiologists (up to 80% reduction in analysis time).
  • High accuracy in ECG analysis, with 99.8% correlation in AF detection.
  • User-friendly and intuitive web-based platform, requiring no installation.
  • Increased efficiency and ability to process a higher volume of Holter ECGs, including long recordings.
  • Clinically validated AI algorithms, ensuring reliable and precise results.
  • Compatible with over 60 Holter ECG devices and compliant with data security regulations (e.g., GDPR, MDR certified).

Limitations

  • Some general concerns about AI in cardiology include data security when data leaves the hospital and the need for proper integration into workflow.
  • The software is not a standalone diagnostic tool; the final decision and patient care remain with the doctor.
  • While AI is generally praised, some Reddit discussions about consumer-grade ECG devices (like Kardia) highlight potential for misinterpretation or anxiety without clinical context, though this is not directly about Cardiomatics.
  • Traditional Holter software can be complicated and not user-friendly, requiring significant manual work from doctors, which Cardiomatics aims to address.

Based on reviews from: Diagnostic and Interventional Cardiology, Cardiomatics Homepage, The Cardiologist And AI - Cardiomatics, ECG Analysis Software | AI Holter Platform - Cardiomatics, Overcoming Challenges in ECG Analysis: The Role of AI Solutions - Cardiomatics, For GPs - Cardiomatics, Analyze More ECGs, Enhance Patient Care - Cardiomatics AI, AI for ECG analysis - Arseus Medical, Cardiomatics Obtains the World's 1st MDR Certification for AI-based ECG Interpretation and Implements new Functionalities - Diagnostic and Interventional Cardiology, Pros And Cons Of Cardiac Remote Monitoring - Nursejournal.org, Generic advantages and disadvantages of wearables for monitoring of cardiac arrhythmia., Best Cardiology EMR Software 2026 | Capterra, Cardiology in the cloud u2013 Interview with Cardiomatics Sp. z o.o. - YouTube, The benefits and drawbacks of wearable heart monitors - University Health, kardia ECG monitor review and whether it's actually useful for tracking irregular heart rhythms at home : r/AFIB - Reddit, Best Patient Intake Software: User Reviews from August 2026 - G2, Kardiamobile devices, what's your experience? : r/AFIB - Reddit, PSA To anyone using kardia/smart watch : r/AFIB - Reddit, Cardio app went exactly as expected. How disappointing : r/POTS - Reddit, Couldn't find a good free app to analyse my Apple Watch ECG recordings, so I built one, Artificial Intelligence versus Doctors' Intelligence: A Glance on Machine Learning Benefaction in Electrocardiography - PMC, CardioLog Analytics Reviews 2026: Details, Pricing, & Features | G2, Studycast Reviews 2026: Details, Pricing, & Features | G2, OptiMantra Software Pricing, Alternatives & More 2026 | Capterra, Trademetria Cost & Reviews - Capterra Australia 2026, AI is better than humans at analysing long-term ECG recordings | Faculty of Medicine, Lund University

Last updated: 2026-08-24

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Press & Coverage

Diagnostic and Interventional Cardiology (DAIC)
Cardiomatics Obtains the World's 1st MDR Certification for AI-based ECG Interpretation and Implements new Functionalities
Cardiomatics received the world's first MDR certification for its AI-based ECG interpretation software, Cardiomatics v5, which also introduces new functionalities like AV block detection and fast-track analysis.
2023-10
Global Cardiology Academy
Cardiomatics Cooperates with the Biotronik Sales Organization in Germany to Accelerate the Growth of its Leading AI-powered ECG Analysis Solution in the German Market
Cardiomatics has partnered with Biotronik's German sales organization to expand the adoption of its AI-powered ECG analysis solution, aiming to improve early detection and management of cardiac events.
2024-07
Digital Health Global
Cardiomatics and BIOTRONIK collaborate to revolutionize cardiac diagnostics with AI in Germany
This collaboration between Cardiomatics and BIOTRONIK in Germany aims to accelerate the use of AI in cardiac diagnostics, combining Cardiomatics' AI-powered ECG analysis with BIOTRONIK's ECG-Patch Holter Monitor.
2024-05
Tech.eu
Poland's Cardiomatics raises $3.2 million, speeds up analysis, saves lives
Cardiomatics secured $3.2 million in seed funding to enhance its cloud-based AI service for ECG analysis, enabling faster and more efficient detection of heart abnormalities.
2021-08
PR Newswire
Weill Cornell Medicine partners with Poland-based company Cardiomatics to investigate the relationship between HIV and heart rhythm disorders
Weill Cornell Medicine initiated a clinical project with Cardiomatics to study the prevalence of arrhythmia in adults with and without HIV in Tanzania, utilizing Cardiomatics' AI-based cloud technology for ECG data analysis.
2022-12
European Heart Journal - Digital Health (via PMC)
Impact of ambulatory ECG monitoring duration on precision of AI-based AF burden estimation
This study, co-authored by Cardiomatics personnel, investigates how the duration of ambulatory ECG monitoring affects the accuracy of AI-based atrial fibrillation (AF) burden estimation, concluding that longer monitoring periods significantly improve precision.
2026-01
The National Centre for Research and Development (Gov.pl)
Development of an innovative tool for automatic assessment of heart rhythm and conduction disorders in pediatric patients
The Cardiomatics Junior project, funded by the Polish National Centre for Research and Development, focuses on developing an AI-powered tool for precise analysis of pediatric ECGs, addressing the lack of specialized diagnostic tools for children.
2020-10
Cardiomatics Blog
Italy's Pioneering Push for Telemedicine. Supported by AI
Italy's new regulations in January 2024 are driving a shift towards telemedicine and home care in cardiology, with AI-based ECG analysis solutions like Cardiomatics playing a crucial role in ensuring diagnostic accuracy and fast turnaround times.
2024-06

Videos

Product demos, reviews, and walkthroughs for Cardiomatics.

View all on YouTube

Frequently Asked Questions

Cardiomatics is a cloud-based, web application that integrates with over 60 Holter ECG devices and can be accessed from any device without installation. You simply upload the raw Holter ECG signal, and the AI algorithms analyze the data, providing a detailed report for your review and final diagnosis.
Cardiomatics is a CE/MDR certified medical device, indicating compliance with European Medical Device Regulations, which have stricter rules for medical device approval to enhance quality, safety, and reliability. The platform also boasts a secure and compliant cloud infrastructure with 81 international security certificates, including ISO 27000 and ISO 27001, ensuring data encryption and adherence to high medical data protection standards.
While Cardiomatics offers significant advantages in speed and accuracy for ECG analysis, potential limitations of AI in general cardiology include the risk of diagnostic errors if the training data is incomplete or biased, and the inability of AI to fully integrate a patient's holistic clinical factors. There's also a concern that over-reliance on AI could lead to a reduction in physicians' independent clinical judgment.
Cardiomatics offers a 'pay-per-use' business model, meaning you only pay when the algorithms are utilized. They also provide prepaid packages and volume-based subscriptions, with credit usage depending on the signal length of the ECG. Hospitals may be able to cover 100% of the cost through reimbursement.
Cardiomatics aims to significantly reduce the time spent on manual ECG analysis, with studies showing it can be significantly faster and provide high-quality data and reports. It has been clinically validated with high correlation rates for AF detection compared to manual physician assessment. While traditional Holter monitoring can be time-consuming, AI-driven platforms like Cardiomatics and other modern alternatives such as patch monitors and mobile cardiac telemetry offer extended monitoring, real-time alerts, and improved patient compliance.

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Suggest an Edit → | Last Verified: 2026-08-23 | First Added: 2026-08-23

Investors who backed Cardiomatics

Funded through the company that built this tool.

Nunatak Capital
VC T3
Warsaw, Poland
$250k-$1M
Nunatak Capital is a small venture firm with website, LinkedIn and Crunchbase presence but no disclosed healthcare sub-vertical thesis, AI focus, stage…
AI/ML in Healthcare Diagnostics
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