Why HorseCare Stood Out at GITEX

GITEX brings together the world’s most advanced AI innovators—and this year, HorseCare showcased how precision wearables and machine learning can transform animal performance and welfare.

Our live demos highlighted how objective motion data empowers trainers, farriers, and veterinarians to make faster, safer decisions.

What Is HorseCare?

HorseCare is an advanced motion-analysis system built around lightweight wearable sensors and an AI-powered app.

By measuring every stride, the system detects subtle gait changes and hoof asymmetries long before the human eye can—helping reduce the risk of injury and optimize day-to-day training.

Core outcomes:

• Early insight into lameness risks and micro-imbalances
• Data-driven training plans and recovery monitoring
• Objective feedback after farrier work and shoeing changes

How the Technology Works

• Multi-sensor setup: A set of sensors is placed on the limbs and back to capture whole-body movement patterns for robust analysis.
• High-frequency data: Next-gen devices stream multi-axis accelerometer and gyroscope data at up to 200 Hz, feeding precise stride-level analytics.
• AI analytics: Machine-learning models translate raw motion into actionable insights—flagging asymmetry, impact changes, and patterns linked to preclinical lameness.

Real Benefits Across the Barn

For Trainers & Riders

• Track workload and movement quality session by session
• Compare sessions, surfaces, and exercises to fine-tune programs
• Quantify progress during rehab and conditioning blocks

For Farriers

• See immediately if new shoeing creates imbalance (impact force and symmetry changes), then adjust before strain accumulates.

For Veterinarians

• Add objective, longitudinal motion data to clinical exams
• Spot deviations weeks before they’re visible—supporting earlier intervention and better outcomes

Beyond Horses: Momentum in Camel Sports & Welfare

Interest at GITEX extended beyond equestrian circles to camel owners and racing teams.

The same stride-level analytics that detect subtle changes in equine gait can inform training loads and wellness programs for camels—where small inefficiencies can become performance-limiting issues. (Interest reported on site during GITEX.)

Why This Matters Now

Racing and sport communities worldwide are accelerating the adoption of sensor-based gait analysis to reduce catastrophic injuries and improve welfare.

Objective motion data—captured at high frequency and interpreted by AI—offers an early-warning system that complements expert eyes and hands.