We work with growers and agri-food companies, empowering their decision making with our proprietary, outcome-based predictive crop models.
Adopting a multimodal scientific approach based on biological soil data, and supplemented by physico-chemical soil data, we forecast desirable crop outcomes via machine learning.
We are a one-stop shop for growers and agri-food companies looking to optimise farming inputs and practices, whilst also providing a platform to track the results of such interventions all in one place.
Our first proprietary models are built on exclusive data (both current and historic) from thousands of hectares of active arable European farmland, which we are using to enable increased protein content and reduced mycotoxin prevalence (DON and ZON) in winter wheat.
We are now also actively exploring pilots in additional cereal crops in North and South America, and Australia.
If you are interested to learn more or would like to discuss a potential collaboration, please reach out to us at email@example.com.