Beatly.AI offers a cloud-native platform for cardiac rhythm analysis that utilizes advanced AI algorithms to accurately detect arrhythmias from various data sources, including Holter and 12-lead ECGs. This technology enhances clinical workflows by providing rapid, precise diagnostics, thereby improving patient outcomes and operational efficiency for heart care providers.
Funding
Funding not disclosed
Founders
Product
Problem
Cardiac rhythm analysis often requires specialized expertise and can be time-consuming, potentially delaying critical diagnoses. Existing solutions may lack the accuracy needed to identify subtle arrhythmias, leading to false positives or missed detections. Furthermore, many platforms are not compatible with diverse ECG data formats and devices, creating integration challenges for heart care providers.
Solution
Beatly.AI offers a cloud-native platform that leverages AI and machine learning to automate and enhance cardiac rhythm analysis. The platform's device-agnostic design enables seamless integration with various ECG devices and data formats, from Holter monitors to 12-lead ECGs. By applying deep learning algorithms trained on millions of clinically validated cardiac beats, Beatly.AI delivers accurate detection of 49 distinct rhythm patterns, 5 intervals, and 2 segments, minimizing false positives and improving diagnostic precision. The platform provides clinicians with insightful dashboards, dynamic notifications, and versatile reporting, facilitating faster and more informed clinical decision-making.
Target Audience
Beatly.AI targets heart care providers, including cardiologists, clinicians, and healthcare organizations, seeking to improve the accuracy and efficiency of cardiac rhythm analysis.
Features
- Cloud-native platform accessible via web and mobile applications
- AI models utilizing convolutional neural networks (CNN) and time series vector data principles
- Support for 1-12 lead ECG data from 30-second to 30-day monitoring periods
- Automatic identification of 49 cardiac rhythm patterns, 5 intervals, and 2 segments
- Customizable enterprise BPM and role-based access control
- Seamless integration with existing systems via APIs
- End-to-end HIPAA compliance for handling protected health information (PHI)
- Auto-monitoring of data volumes and system resource usage with autoscaling capabilities