Biographica

The company builds on a decade of machine-learning innovation to combine deep learning and knowledge-graph technology with high-throughput genomics, enabling rapid identification and prioritization of high-value gene targets for any crop. By evaluating every gene in a genome — not just the obvious candidates — and modeling gene-trait relationships with physiology-aware, biology-informed algorithms, the platform helps breeders and ag-biotech companies find edits with maximal trait impact and minimal unwanted side-effects. This streamlines the gene-editing pipeline, boosting success rates, cutting time and cost, and helping deliver more productive, nutritious and climate-resilient crops.