EIO Diagnostics provides a sensor and machine learning system for dairy farms to detect mastitis infections early. This technology analyzes cows during milking without requiring milk or physical samples. The system delivers rapid, integrated signals to help farmers manage udder health proactively.
Funding
$3.4M 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.
HV+1Founders
Product
Problem
Mastitis, an udder infection in dairy cows, leads to decreased milk production and quality, resulting in economic losses for farmers. Traditional detection methods often rely on visual inspection or milk samples, which can be labor-intensive and may not identify infections in their early stages. Delayed detection can lead to more severe infections, increased treatment costs, and potential culling of affected cows.
Solution
EIO Diagnostics offers the UdderHealth™ system, a technology that utilizes thermal sensors and machine learning algorithms to detect early signs of mastitis in dairy cows. The system continuously monitors udder health without requiring milk or cow samples, providing results in less than a second. By identifying infections days before physical symptoms appear, UdderHealth™ enables farmers to implement timely interventions, reduce the severity of infections, and minimize the impact on milk production. The system integrates into existing farm workflows, providing an automated and efficient solution for mastitis detection.
Target Audience
The primary target audience includes dairy farmers seeking to improve udder health management, reduce mastitis-related losses, and enhance overall milk quality and production efficiency.
Features
- Non-invasive mastitis detection using thermal sensors
- Real-time analysis and results in under one second
- Early detection of infection signs days before physical indications
- Integration with existing farm management systems
- Continuous monitoring of udder health for every cow at every milking
- Machine learning algorithms for accurate and reliable detection