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Biographica and Hudson River Biotechnology team up to take crop traits from AI gene discovery to edited plants

The London AI crop-design startup and the Dutch genome-editing specialist start with tomato and are asking breeders for the traits conventional breeding

Biographica and Hudson River Biotechnology team up to take crop traits from AI gene discovery to edited plants

UK startup Biographica and Dutch genome-editing company Hudson River Biotechnology announced a partnership on 21 September 2026 that combines gene-target discovery with genome editing and plant regeneration in one offer to breeders. The first projects are in tomato, with other vegetables and soft fruits to follow. Rather than launching with a fixed list of traits, the two companies are using the World Agri-Tech Innovation Summit in London on 22 and 23 September to invite breeders to bring trait problems they have not been able to solve.

The work is split cleanly. Biographica identifies the genes associated with a target trait, ranks them by how likely they are to work in a given crop and designs the edits. Hudson River then makes the edits using its BioMaas editing and single-cell regeneration workflow, which AgNavigator reports produces transgene-free, genetically uniform plants in a single generation. Traits in scope run from disease resistance to drought tolerance. Biographica co-founder Dominic Hall told AgFunderNews that disease resistance is currently the strongest signal from breeders, with further opportunities in crop quality and nutrition.

The partners are aiming at three situations: where the obvious genetic targets have already been used, where there is not enough data to pick a good target, and where a company needs to work around existing patents. Biographica's platform uses foundation models trained on multi-modal genomic data to predict which genes are most likely to have a causal effect on a trait, as opposed to genome-wide association studies and QTL mapping, which establish correlation and do not rank the hits. The company is also building models for edits that change how strongly a gene is expressed in specific tissues or conditions, including changes to regulatory DNA. The target is susceptibility genes, where a simple knockout can reduce a plant's vulnerability to a pathogen but carry a yield or developmental penalty.

Under the commercial arrangement, a customer who comes in through Hudson River stays Hudson River's customer, while the two companies share the costs and any upside of a project behind the scenes, Hall told AgFunderNews. No financial terms were disclosed. Biographica was founded in London in 2022 by Hall and Cecily Price and raised a £7 million ($9.5 million) seed round led by Faber VC, announced in January 2026. It also runs partnership work with BASF and is developing some traits in-house.

Why it matters for AgTech founders: the bottleneck in gene editing has moved from making the cut to deciding where to cut, and this deal is a lesson in how a discovery company gets paid for that. A breeder buys a plant, not a ranked gene list, so an AI discovery tool sold on its own tends to be priced like software and treated like a consultancy. Plugging into a lab that already holds breeder relationships and a working transformation pipeline puts the model inside a deliverable the customer already budgets for. The price is the structure: shared upside rather than a fee means the cash arrives when varieties do, which in vegetables is measured in years. Founders copying this should keep a service revenue line that pays the bills in the meantime and be precise about who owns the edit, the variety and the data that flows back into the model. The patent-workaround use case deserves attention too. Freedom to operate is a product in its own right, and in crop genetics it may be the one that sells first.

Source: AgFunderNews

Biographica and Hudson River Biotechnology team up to take crop traits from AI gene discovery to edited plants

The London AI crop-design startup and the Dutch genome-editing specialist start with tomato and are asking breeders for the traits conventional breeding has not solved.

By Dirk Vandenhirtz

· AgTech AI · Europe · 4 min

UK startup Biographica and Dutch genome-editing company Hudson River Biotechnology announced a partnership on 21 September 2026 that combines gene-target discovery with genome editing and plant regeneration in one offer to breeders. The first projects are in tomato, with other vegetables and soft fruits to follow. Rather than launching with a fixed list of traits, the two companies are using the World Agri-Tech Innovation Summit in London on 22 and 23 September to invite breeders to bring trait problems they have not been able to solve.

The work is split cleanly. Biographica identifies the genes associated with a target trait, ranks them by how likely they are to work in a given crop and designs the edits. Hudson River then makes the edits using its BioMaas editing and single-cell regeneration workflow, which AgNavigator reports produces transgene-free, genetically uniform plants in a single generation. Traits in scope run from disease resistance to drought tolerance. Biographica co-founder Dominic Hall told AgFunderNews that disease resistance is currently the strongest signal from breeders, with further opportunities in crop quality and nutrition.

The partners are aiming at three situations: where the obvious genetic targets have already been used, where there is not enough data to pick a good target, and where a company needs to work around existing patents. Biographica's platform uses foundation models trained on multi-modal genomic data to predict which genes are most likely to have a causal effect on a trait, as opposed to genome-wide association studies and QTL mapping, which establish correlation and do not rank the hits. The company is also building models for edits that change how strongly a gene is expressed in specific tissues or conditions, including changes to regulatory DNA. The target is susceptibility genes, where a simple knockout can reduce a plant's vulnerability to a pathogen but carry a yield or developmental penalty.

Under the commercial arrangement, a customer who comes in through Hudson River stays Hudson River's customer, while the two companies share the costs and any upside of a project behind the scenes, Hall told AgFunderNews. No financial terms were disclosed. Biographica was founded in London in 2022 by Hall and Cecily Price and raised a £7 million ($9.5 million) seed round led by Faber VC, announced in January 2026. It also runs partnership work with BASF and is developing some traits in-house.

Why it matters for AgTech founders: the bottleneck in gene editing has moved from making the cut to deciding where to cut, and this deal is a lesson in how a discovery company gets paid for that. A breeder buys a plant, not a ranked gene list, so an AI discovery tool sold on its own tends to be priced like software and treated like a consultancy. Plugging into a lab that already holds breeder relationships and a working transformation pipeline puts the model inside a deliverable the customer already budgets for. The price is the structure: shared upside rather than a fee means the cash arrives when varieties do, which in vegetables is measured in years. Founders copying this should keep a service revenue line that pays the bills in the meantime and be precise about who owns the edit, the variety and the data that flows back into the model. The patent-workaround use case deserves attention too. Freedom to operate is a product in its own right, and in crop genetics it may be the one that sells first.

Source: AgFunderNews

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