Built for motion-heavy environments.
Trained on species-specific morphologies.
Designed for veterinary, performance, and research applications.
Movement, muscle artifact, fur interference, sweat, and loose-contact straps degrade signal quality - especially in equine performance and ambulatory monitoring.
Traditional peak-based ECG detection was not built for this variability.
Animal ECG demands a different level of signal intelligence.
We move beyond rudimentary arithmetic and peak detection. MaxYield is a time-series neural network trained on species-specific ECG morphology
Not a replacement device: An AI plugin between signal capture and your analytics stack.
Cleaner ECG during exercise
More stable HRV metrics under motion
Reduced false positives
Earlier arrhythmia visibility
Currently deploying MaxYield within equine cardiac monitoring devices serving both performance and veterinary markets
Pre- and post-operative cardiac monitoring
Arrhythmia detection
Long-form ECG & Holter analysis
Reduced technician correction time
Comprehensive interval reporting (PR, QT, ST, HR/HRV, etc.).
Improve diagnostic confidence without increasing workflow burden.
Structured beat-level exports for modeling and analysis.
Reduced segment rejection due to noise.
Consistent labeling across large datasets
Improved reproducibility
Supports high-quality data preparation for preclinical, regulatory-grade studies.
QT/QTc precision
Automated interval measurement.
Reliable ST segments using baselined, neuralized signals.
Improved cohort reproducibility.
More confidence in cardiac safety endpoints & translational study data
Signal Capture → MaxYield →
Insight360 and CardioYield
Signal cleaning.
Beat labeling.
Time-series interval extraction
Visualization layer
Graph Data, Intervals, and Trends
Interactive, Customizable Reports & Templates
Review, edit, and approve flagged cardiac events.
Automated report generation.
Standardized structured outputs & reporting
This is not signal smoothing. This is waveform intelligence.
