We founded Computomics so farmers and breeders can reap the benefits of our machine learning algorithms. By applying AI to genetics, plant yield and climate datasets, we recommend the best plant breeding strategies and unlock the diversity of biological life. In over 135 projects, we enable our clients to make data-driven decisions and thereby accelerate sustainable agricultural development. Current plant breeding methods often only use a fraction of the data available, and we set out to change that.