Mammal provides a wearable EEG headset for horses that continuously records brain activity, heart rate, and movement, delivering real‑time metrics on mental state, stress, sleep quality, and injury risk via a smartphone app. The platform’s analytics enable trainers and veterinarians to make data‑driven decisions on conditioning, recovery, and injury prevention for high‑performance equine athletes.
Funding
Funding not disclosed
Founders
Product
Problem
Equine trainers and veterinarians lack objective, continuous data on a horse’s mental state, stress levels, sleep quality, and injury risk, relying instead on intermittent physical measurements and subjective observations.
Solution
Mammal offers a wearable, non‑invasive EEG system that continuously records a horse’s brain activity alongside physiological signals and behavior. The device streams data to a smartphone app, where proprietary analytics translate neural and biometric patterns into real‑time indicators of mental state, stress, sleep quality, and potential injury risk. Users can monitor these metrics before, during, and after training or competition, enabling data‑driven adjustments to conditioning, recovery protocols, and overall care. By integrating neuroscience with a user‑friendly digital interface, the platform provides actionable insights that help prevent overtraining, reduce injury incidence, and optimize performance.
Target Audience
Primary customers are professional equine trainers, competitive riders, and veterinary practitioners who manage high‑performance horses and require precise, continuous wellbeing metrics.
Features
- Lightweight, portable EEG headset designed for equine use, with secure attachment for continuous monitoring
- Multi‑modal sensor suite capturing brain waves, heart rate, and movement to assess mood, stress, and physical condition
- Real‑time analytics engine on a smartphone app delivering mental state classification (alertness, relaxation, stress, flow) and sleep quality scores
- Injury‑risk and overtraining alerts based on pre‑ and post‑exercise neural patterns and gait/balance indicators
- Cloud‑based data aggregation allowing benchmarking against aggregate metrics from other high‑performance horses
- Secure data transmission and storage complying with veterinary data privacy standards