ARPI
ECG Buddy
Snapshot
Publisher DNA
What defines ARPI?
AI intelligence is not yet available for ARPI. The portfolio data below is up to date.
Portfolio
What does ARPI ship?
Apps
2 apps analysed
11 digital biomarkers provide differentiated diagnostic support
- The app provides high measurement accuracy compared to other health monitoring tools available on mobile
- Users report the app fails to progress past the occupation selection screen during the initial setup
AI ECG/EKG analysis for doctors, nurses, medical technologists, and EMTs.
Analysis in progress
Distributed across 12 markets, strongest in Europe.
Based on 1 of 2 apps with localized market data, more coverage rolling in as scans complete · last scanned .
Americas (3)
- Brazil1 / 1
- Mexico1 / 1
- United States1 / 1
Europe (7)
- France1 / 1
- Germany1 / 1
- Italy1 / 1
- Netherlands1 / 1
- Portugal1 / 1
›+2 more europe markets
- Spain1 / 1
- Sweden1 / 1
Asia-Pacific (2)
- Japan1 / 1
- South Korea1 / 1
Core markets (1/1 apps)
User Sentiment
How do users feel about their apps?
0
Positive apps
0
Neutral / mixed
1
Negative apps
35/100
Avg sentiment score
Rivals
Who does ARPI compete with?
The rivals identified
Nemeses(1)
Both apps provide ECG analysis and arrhythmia detection, targeting the cardiac monitoring space through different distribution channels: hospital-integrated AI versus consumer-facing hardware integration.
Contenders(2)
Both applications target cardiovascular rhythm analysis, creating overlap in the functional domain of ECG interpretation despite serving distinct professional and consumer segments.
Both applications target the interpretation of ECG data for clinical review, though they serve distinct environments: hospital-grade diagnostic analysis versus consumer-grade Apple Watch data management.
Same space(18)
Interprets wearable data for heart rhythm insights, serving a different user segment than the hospital-based ECG Buddy.
Transforms wearable ECG data into cardiac insights, acting as a consumer-facing alternative to professional diagnostic tools.
Integrates hardware-based cardiac data collection with AI analysis, extending the diagnostic workflow beyond static ECG image analysis.
Acts as a primary clinical reference for drug information, often used by the same professional audience that utilizes ECG Buddy.
Focuses on clinical simulation for skill maintenance, complementing the diagnostic focus of ECG Buddy.
Provides educational content for ECG interpretation, serving as a training supplement for professionals using diagnostic software.
Manages the patient-side experience for iRhythm monitoring hardware, whereas ECG Buddy targets hospital-based professional analysis.
Serves as a broad clinical decision support library, providing calculators that clinicians use alongside diagnostic tools like ECG Buddy.
Provides automated 12-lead ECG interpretation for clinicians, serving as a direct diagnostic alternative to ECG Buddy.
Focuses on patient-facing cardiac rhythm monitoring, which is distinct from the hospital-grade professional diagnostic focus of ECG Buddy.
Uses camera-based PPG technology for wellness tracking, serving a non-clinical audience compared to the medical-grade ECG Buddy.
Analyzes wearable-derived ECG data, providing a consumer-focused alternative to the professional hospital-grade analysis of ECG Buddy.
Provides simulation-based training for ECG interpretation, helping clinicians practice rhythm recognition for clinical settings.
Gamifies ECG interpretation training, helping clinicians build the skills required to interpret the outputs generated by ECG Buddy.
Provides rapid clinical reference for emergency settings, which aligns with the hospital-based use case of ECG Buddy.
Acts as a general clinical decision support tool for point-of-care questions, contrasting with the specific ECG focus of ECG Buddy.
Provides a static reference library for ECG examples, supporting the educational needs of clinicians using diagnostic software.
Serves as an educational library for ECG interpretation, providing the theoretical background for diagnostic findings.
