Biographica
Uses genomic foundation models, pretrained on public sequencing data and fine-tuned on data from its own lab, to predict which crop genes control a trait and how to edit them, and supplies those gene targets to seed and breeding companies across crops.
Money and evidence
Latest round, Seed, 2026-01-07: the record then held no research entry for the company. The first research entry is dated 2026-10-27; the highest level so far is 3 (Checked against existing evidence).
Rounds and research, on one timeline
- 2026-10-27Research
Level 3 · Checked against existing evidence
Biographica's CROP-1 predicts a crop gene's activity in each tissue and condition from its DNA plus which regulators are on, and designs edits aimed at one context
Many crop genes affect more than one trait, so an edit that helps in one tissue or condition can cause unwanted changes in others. A model that predicts expression per context lets a breeder rank candidate edits by the change wanted in one place and the change everywhere else, before any plant is edited. Biographica sells gene-editing targets to seed companies.
- 2026-01-07SeedRound
£7M≈ $9.44M
For: expand its own data collection, extend its AI platform to new crop traits and deepen commercial relationships across the seed industry
Data generationModels and platformCommercial roll-out
The company's own post states the £7M seed and its lead. The other investors and the use of funds are from AgFunderNews's exclusive of 7 January, which quotes both founders and which the company reposts; it converts the round to $9.5M.
Lead · Faber VCSuperSeedCardumen CapitalThe HelmExisting investor · Chalfen VenturesExisting investor · Entrepreneurs First
Research entries are the timeline's graded entries that name this company. A level grades one claim, not the company, and a blank can mean the record has not caught up rather than that nothing was published.