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AI and gene editing partnership aims for climate-proof corn

AI and gene editing partnership aims for climate-proof corn GenoMethods.org © genomethods.org
AI and gene editing partnership aims for climate-proof corn © genomethods.org
Vylor and Rainbow Crops have joined forces to speed up the creation of tough corn hybrids using AI and multiplex gene editing.

European farming is about to see a big shift. Vylor and Rainbow Crops have announced a partnership to push corn genetics further than ever before. Their goal: use artificial intelligence and multiplex gene editing to build corn hybrids that can handle heat, drought, and floods.

This is more than just two biotech companies shaking hands. Rainbow Crops brings its AI-powered Trait Foundry™ platform, which can edit hundreds of genes at once and quickly check how plants perform. Vylor, which will split from Corteva in October 2026, adds its gene editing know-how. The plan is to turn these advances into real gains for farmers. Corteva says Vylor Edge will run as an independent investment platform, using outside partnerships and funding to speed up crop genetics research.

Vylor holds more than 4,000 germplasm patents and over 2,000 biotechnology patents, highlighting the scale of its innovation pipeline ahead of the spin-off.

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"Rainbow Crops’ AI-enabled multiplex gene editing capabilities will allow us to make hundreds of gene edits simultaneously, while validating performance in state-of-the-art phenotyping facilities as well as through field trials," said Mat Muller, who will lead Vylor Edge. The aim is simple: create plants that can survive disease and extreme weather, and put Vylor at the front of this new science by using Rainbow Crops’ technology.

Rainbow Crops’ Trait Foundry™ is not just a buzzword. The platform mixes AI, multiplex genome editing, precision breeding, and automated phenotyping. It is built to tackle tough traits controlled by many genes—traits like drought tolerance and plant strength that have been hard to improve with old breeding methods. CEO and co-founder Giacomo Bastianelli points to early work in corn as proof that the platform can speed up progress on these complex traits.

The timing of this deal is no accident. On June 17, 2026, the European Parliament passed a new rule for plants made with new genomic techniques (NGT). Now there are two categories: NGT-1 plants, which are regulated like regular crops, and NGT-2 plants, which still face strict GMO rules. As explained in a German BfR regulatory FAQ, NGT-1 plants do not need special labels but must be listed in a Europe-wide registry. NGT-2 plants need full risk checks and labeling. This change, reported by Nature, has made it much easier to work with gene-edited crops in Europe and is expected to speed up innovation.

Corteva’s official materials confirm that Vylor’s strategy is not limited to corn. The company is also developing dedicated technology platforms for soybean and wheat, reflecting a broad R&D commitment to crop improvement.

Corteva media centerOrganization

Corteva invested in Rainbow Crops through its Corteva Catalyst platform. This investment will move to Vylor Edge after the spin-off, tying the companies even closer. Vylor’s bigger plan is to lead in genetics and biotech, with new platforms for soybean and wheat as well as corn.

For European farmers dealing with wild weather and rising costs, corn hybrids that use resources better and give higher yields could be a real lifeline. The big question is whether this AI-powered, multiplex gene editing can deliver outside the lab and in real fields. If it works, Vylor and Rainbow Crops will set a new bar for crop genetics. The rest of the industry will have to keep up or risk falling behind.

Adrian Cole Founder, bioengineering editor and methods specialist GenoMethods.org
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Adrian Cole

Adrian Cole is the Founder and Editor-in-Chief of GenoMethods, where he writes about bioengineering, genome and cell engineering, synthetic biology, computational biology and emerging research methods. His editorial approach focuses on how technologies actually work, how they are validated and where the evidence stops supporting the claim.