EMGenisys provides an embryo health assessment platform that utilizes machine learning to evaluate embryo viability and sex through a simple 30-second video analysis. This technology enhances livestock productivity by enabling the selection of healthy embryos for transfer, thereby improving pregnancy outcomes and reducing stress factors for animals.
Funding
$650K 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
Current methods of embryo selection in livestock breeding rely on subjective visual assessments, leading to inconsistent pregnancy outcomes and reduced efficiency in embryo transfer programs. These methods lack objective, data-driven insights into embryo viability, potentially resulting in the transfer of less viable embryos.
Solution
EmGenisys offers a machine-learning-powered platform for objective embryo health assessment, providing livestock breeders with data-driven insights to improve pregnancy outcomes. The platform analyzes a brief video of the embryo to predict its viability and sex, enabling users to select the healthiest embryos for transfer. By using this technology, breeders can increase the productivity of their animals, reduce stress factors, and maximize efficiency in their breeding programs. The platform delivers a comprehensive report in seconds, empowering users with the data needed for informed decision-making.
Target Audience
The primary target audience includes livestock breeders and reproductive specialists seeking to improve pregnancy outcomes and increase efficiency in embryo transfer programs.
Features
- Machine learning algorithms for embryo viability and sex prediction
- Analysis based on a 30-second video recording of the embryo
- Comprehensive report delivered in seconds
- Objective, data-driven insights into embryo health
- Platform can be used in the lab or chute side