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AI FOR SCIENCE · ON THE RECORD

Biographica

Biology data and toolsLondonFounded 2022Website ↗

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.

Research on the record

Graded by how far the evidence went, not how good the result is. See the methodology.

People

Only people the AI4S.fyi record has named: in a round, a timeline entry, commentary, an interview or a sourced role. Not the full team.

Funding rounds tracked

Disclosed funding≈ $9.44M
Latest round£7MSeed · confirmed · 2026-01-07
  • 2026-01-07Seed · £7MconfirmedLed by Faber VC · With SuperSeed, Cardumen Capital, The Helm · Existing investors Chalfen Ventures, Entrepreneurs FirstStated use: expand its own data collection, extend its AI platform to new crop traits and deepen commercial relationships across the seed industry

Each round links to its line on the funding record, with its source.

Also in Biology data and tools on the funding board

The other companies the funding board files under the same field, latest round first. A list of what the record tracks, not a ranking or a market map.

  • 2026-10-27OmabitSeed · $2MSoftware that analyses a drug developer's own preclinical, clinical and genomic data alongside published research: a scientist chooses the question in plain language and it runs the analysis and writes it up, starting with clinical development, biomarker and translational teams.
  • 2026-10-26adsilicoSeries A · £10MA University of Leeds spinout whose Virtual Chimera platform builds virtual hearts and blood vessels from anonymised clinical scans with generative AI, then runs physics simulations of how a heart valve, stent or other implant behaves in each, across a population varied by age, sex, ethnicity, body size and disease.
  • 2026-10-20Electric PlantSeed · $11.2MMakes electrodes and low-cost sensors that record a living plant's electrical signals from its stem or trunk, and Bombadil, a model trained on those signals across about a hundred species that estimates leaf stress measures such as photosynthetic efficiency and water stress, for farming, forestry and plant care.
  • 2026-10-10BIOTREESeries B · nearly CNY 100MA mass-spectrometry service company for metabolomics and proteomics, with its own metabolite standards library. It is moving into single-cell and spatial omics and pitches that data (its MetCell single-cell metabolomics in particular) as training material for virtual-cell models.
  • 2026-10-08Onyx BioSeed · $8MRuns paid, at-home research studies that measure the same people's immune systems over months and years (proteins, single-cell gene expression, metabolites, genetics) beside their clinical histories, processes every sample in its own Berkeley lab, and offers the data to biopharma and AI model developers as a 'virtual immune system'. Its first studies cover autoimmune disease and immune ageing.
  • 2026-10-08OptoSeekerPre-A · over CNY 50MBuilds lab instruments that move and screen single cells with light (optoelectronic tweezers), for antibody discovery, cell-line development and cell and gene therapy. It pitches the time-stamped single-cell function data they produce as training data for AI biology models.

All 15 in this field →

This page compiles what AI4S.fyi has recorded and links each item to its source. It is not a grade of the organization and not its complete history: a blank means the record has not caught up as often as it means nothing happened.