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Stable Analytics

Stable Analytics applies modern engineering and data science to horse racing by offering a gait monitoring platform built on purpose‑designed wearable biometric sensors and proprietary algorithms.

Versailles, KentuckyFounded 2024550+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Racehorse owners, trainers, and veterinarians lack objective, real-time data on a horse’s biomechanics, making it difficult to detect early signs of injury or assess performance potential. Traditional assessment relies on visual observation, which can miss subtle gait abnormalities that contribute to injury risk and suboptimal training decisions.

Solution

Stable Analytics offers a gait monitoring platform that combines purpose‑built wearable biometric sensors with proprietary machine‑learning algorithms to capture detailed biomechanical data from Thoroughbreds. The sensors continuously record motion metrics that are invisible to the naked eye, and the analytics pipeline translates these signals into actionable insights on injury risk, performance capacity, and conformation. Trainers and veterinarians can use the data to tailor conditioning programs, intervene before injuries develop, and make evidence‑based decisions about race readiness. Additionally, the platform provides data‑driven pedigree modeling to inform breeding strategies, helping breeders select horses with desirable biomechanical traits.

Target Audience

Primary customers are Thoroughbred owners, racehorse trainers, and equine veterinarians seeking quantitative tools for injury prevention and performance optimization, as well as breeders looking to incorporate biomechanical data into selection decisions.

Features

  • Lightweight, purpose‑designed wearable sensors that attach to a horse’s limbs and capture high‑frequency gait data
  • Proprietary algorithms that process raw sensor data into injury‑risk scores, stride efficiency metrics, and performance indicators
  • Cloud‑based analytics dashboard delivering visualizations, trend analysis, and alerts for abnormal gait patterns
  • Machine‑learning models that integrate biomechanical data with pedigree information to predict breeding value
  • Secure data storage and API access for integration with existing stable management software
This profile is AI-generated and may contain inaccuracies.