Uncover the TruthBehind Every Judge
Almarbat AI uses computer vision and mathematics to analyze Arabian horse conformation with scientific precision. Move beyond subjective judging and discover objective insights.
Science-Backed Analysis
Our AI system combines computer vision with equine biomechanics to deliver metrics that matter.
13 Keypoint Detection
DeepLabCut-powered AI detects anatomical landmarks including poll, withers, hip, shoulder, and more with sub-pixel accuracy.
Rule of Thirds Analysis
Automatically calculates shoulder, back, and hip proportions. Ideal Arabian conformation targets equal thirds.
Angular Measurements
Precise calculation of neck elevation, shoulder slope, and pelvic angles compared against breed standards.
Trapezoid Ratio
Measures underline to topline ratio to assess overall balance and athletic potential.
Objective Scoring
Replace subjective opinions with mathematical metrics. Compare horses across shows with consistent data.
Multi-Frame Analysis
Analyze multiple frames from show footage to get averaged, reliable conformation metrics.
Real Analysis, Real Results
See how our AI analyzed ALEXXANDERR at GCAT Riyadh 2025
ALEXXANDERR
AI Conformation Metrics
Judge Scores (Avg of 9 Judges)
Analyze Your Horse
Help us build the largest dataset of Arabian horse conformation metrics. Submit your horse for analysis and contribute to uncovering the truth behind show judging.
Join 100+ breeders already on the waitlist
Have show footage ready?
This research project aims to bring objectivity to Arabian horse evaluation. All data is used solely for research purposes.