Body Measurement × Gait Analysis × Pedigree AI × Anatomical Analysis for Explosiveness × Temperament Analysis × Machine Learning — 8-Axis multimodal integrated evaluation to visualize equine potential.
Body measurement, gait video, pedigree analysis, facial-structure AI, temperament/acceleration analysis, ML evaluation, and vet-collaboration charts — plus a 530+ disease database, chat interview, PDF reports, and AI integrity control. The industry’s first 8-axis multimodal integrated platform.
Enter just 4 body measurements (height, weight, girth, cannon) to instantly calculate 8-axis scores — Speed, Stamina, Power, Explosiveness, Safety, Gait, Durability, and Pedigree — based on JRA statistics with age/sex calibration.
From just 10-30 seconds of walking video, our proprietary NST™ Engine (Natural Speed Theory) quantifies gait versus Stakes Winner benchmarks (SW=100%). Movement rhythm and intensity also reveal explosiveness and temperament tendencies.
Evidence-based NST™ algorithm leads with AI-assisted analysis. Estimates muscle potential from gait power and reaction speed. Patent-pending 'Resonance Integrity Control' technology suppresses AI hallucination for high accuracy.
After you paste a pedigree URL, our proprietary algorithm, AI, and RECOPE analyze a 5-generation pedigree. It searches world-class pedigree records and quantifies nicks compatibility and inbreeding using meta-analysis-based scoring.
Evidence-based accuracy: 82% match to the pedigree patterns of stakes winners and 76% distance-aptitude prediction accuracy for winning horses (internal validation data). Provides reproducible evaluation grounded in mating theory.
Facial structure and the brain differentiate from the same ectoderm during the embryonic period. From a single face photo, AI automatically detects fine facial-structure patterns and scores acceleration and temperament tendencies — a proprietary analysis approach grounded in embryology.
Evidence: Murphy & Arkins (2007, n=219, d=0.45) — significant correlation between facial features and temperament. Shivley et al. (2016, n=83, d=0.30) — confirmed association between facial-structure patterns and behavioral traits.
A machine-learning model integrates 33 evaluation metrics — conformation, gait, pedigree, facial structure, temperament, and more — across 8 axes. It computes Speed, Stamina, Power, Acceleration, Safety, Gait, Durability, and Pedigree strength into a single overall score.
Predicts 3-year-old growth from foal and yearling body photos. AI image processing lets you visualize future physique changes.
Create a chart for each horse and centrally manage photos, video, growth records, health checks, race results, and AI evaluations. Time-series trend graphs and comparative analysis are available.
Automatically generates differential candidates by matching 200+ finding checkpoints against a 530+ equine disease database. Covering 18 categories from toxicology to foal and immune diseases, it works as a clinical decision-support tool for veterinarians.
Create a medical-grade horse chart that integrates analysis results, history, health checks, and differentials — shareable with veterinarians. Token-based secure sharing lets vets view it without logging in.
Four ways to share — PDF export, email, share link, and print — to deliver a horse’s medical information to veterinarians safely and efficiently.
Export all of a horse’s data as a one-click PDF report. Generates a comprehensive report covering evaluation scores, growth records, race results, and health-check history.
Equipped with our patent-pending “self-evolving generative-AI integrity-control system.” It diagnoses the divergence between AI inferences and measured data and dynamically controls the temperature parameter to suppress AI hallucination. Through race-result feedback, meta-analysis autonomously evolves the system’s sensitivity.
Automatically calculates required energy (DE), crude protein, calcium, and phosphorus from body weight, age, exercise level, and reproductive stage. Suggests an optimal NRC-based feeding plan and visualizes surpluses and deficits — supporting stage-appropriate nutrition design from growing youngsters to racehorses and broodmares.
View the registered body photos and growth-prediction images.
A simple workflow, from account registration to race-record tracking.
Enter body measurements, photos, a walking video (10–30s), a face photo (for facial-structure analysis), and a pedigree URL
8-axis evaluation engine performs automated integrated analysis
Instantly review score, grade, and detailed report
Register race results to keep improving prediction accuracy
From interview to differential to the veterinarian’s examination record — a medical-focused integrated workflow, linked to your registered horse’s records for fast access.
Dual providers (OpenAI + Anthropic Claude) plus our patent-pending “self-evolving AI integrity control.” An evidence-based algorithm leads while AI accompanies — a hybrid system.
Fast, low-cost scoring of genetic aptitude from pedigree data
Real-time scoring of pedigree data with fast JSON generation
AI image-generates the 3-year-old physique from a foal’s body photo
An integrated scoring model that predicts an overall evaluation across 33 items × 8 sire lines
Automatically analyzes stride symmetry, rhythm, and left–right balance from gait video
AI analyzes fine facial-structure patterns from a face photo to score acceleration and temperament tendencies. Proprietary technology.
Accuracy keeps improving through autonomous evolution: divergence diagnosis between AI and measured data → temperature control → meta-analysis
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Secure payment via PayPal. Bank transfer also available.
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