Andrew Moore
CEO
E
Evogen
evogen.io
Website unreachable since Oct 21, 2026
Evogen provides data-driven breeding recommendations for livestock by analyzing farm-specific environmental conditions and genetic data. This approach addresses the inefficiencies in traditional breeding practices, enabling farmers to select bulls that maximize herd profitability and productivity.
- Agriculture Technology
- Artificial Intelligence
- Data & Analytics
- Software Only
Updated 23 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Dairy farmers face challenges in maximizing herd profitability due to the complexity of genetic selection and the disconnect between genetic potential and farm-specific environmental conditions. Traditional breeding practices often rely on manual selection from semen company catalogs, which may not account for the unique environmental factors affecting each farm. This can lead to suboptimal herd performance and reduced profitability.
Solution
Evogen offers a data-driven platform that provides independent breeding recommendations tailored to specific farm environments. The platform analyzes detailed environmental and genetic data from each farm to identify the most profitable bulls for breeding. By integrating advanced genetic insights with environmental data, Evogen simplifies the genetic selection process and empowers farmers to make informed decisions. This approach ensures that genetic selection aligns with the farm's unique conditions, maximizing herd performance and profitability while saving farmers time and resources.
Target Audience
Evogen primarily targets dairy farmers seeking to improve herd profitability and efficiency through data-driven breeding strategies.
Features
- Data collection of detailed environmental and genetic information from the farm
- AI-driven bull selection based on farm-specific data to maximize profitability
- Independent and unbiased recommendations, analyzing bulls from all available semen companies
- Customizable recommendations, allowing farmers to adjust selections based on their specific requirements
- Ongoing support to monitor and optimize herd performance after implementation
- Integration of advanced genetic insights with environmental data