Global project uses AI to reduce cattle emissions and support animal productivity
BiomEdit, a leading animal health biotechnology company, has announced a major milestone in sustainable livestock research. In partnership with Bioversity International USA and Yale University, the company has been selected as one of 15 global teams to receive nearly $2 million in funding through the Bezos Earth Fund’s AI for Climate and Nature Grand Challenge. The award will support the development of the Rumen Digital Twin, a new artificial intelligence foundation model designed to reduce methane emissions from cattle while helping maintain strong productivity and animal well-being.
This global project will use data from more than 20,000 ruminant animals across over 25 countries, including regions throughout the Global South. The model will combine publicly available datasets with newly generated scientific research. More than 10,000 microbiome profiles will be mapped alongside methane emissions, diets, genetics, and productive performance data. This large-scale dataset will allow researchers to identify the most effective feed additives and management strategies to reduce methane output.
The goal is to replace long, costly animal trials with accurate AI-powered simulations. By predicting how different animals respond to specific feed interventions, producers may be able to reduce methane emissions by up to 75% without harming growth or productivity.
"This project reflects the power of the microbiome and the use of AI to reduce methane and improve productivity in livestock," said Aaron Schacht, CEO of BiomEdit. "With the generous support of the Bezos Earth Fund and in collaboration with Bioversity and Yale, we aim to develop a better understanding of targeted interventions and share that knowledge to positively affect both climate impact and animal well-being."