Equinity Solutions offers an AI-driven monitoring system for equine health that analyzes real-time video feeds to assess movement, breathing rates, and body posture. This technology enables early detection of health issues and predicts the onset of foaling, enhancing the safety and care of horses without the need for wearable devices.
Funding
$250K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Monitoring equine health often relies on manual observation or wearable sensors, which can be labor-intensive, inaccurate, or cause discomfort to the animals. Early detection of health issues and prediction of foaling times are critical for ensuring the safety and well-being of horses, but current methods can be unreliable and require constant human supervision.
Solution
Equinity Solutions offers an AI-powered video monitoring system designed for comprehensive equine health surveillance. Utilizing advanced algorithms, the system analyzes real-time video feeds to assess key indicators such as movement, breathing patterns, and posture, enabling early detection of health anomalies and prediction of foaling. The system eliminates the need for wearable devices, providing a non-invasive, continuous monitoring solution that enhances the safety and care of horses. Data is accessible through a mobile application, providing alerts and insights to caretakers, ensuring timely intervention and improved animal welfare.
Target Audience
The primary target audience includes horse owners, breeders, and veterinarians who require continuous, non-invasive monitoring solutions for equine health and foaling prediction.
Features
- 24/7 real-time monitoring of horses via camera
- AI-driven analysis of video feeds to detect changes in movement, breathing rate, and posture
- Prediction of foaling based on behavioral analysis of pregnant mares
- Mobile application providing alerts for unusual behavior, potential health issues, and impending foaling
- Non-invasive monitoring without the need for wearable sensors
- Automated data collection and analysis, reducing the need for manual observation
- Customizable alerts and notifications based on individual horse profiles