The British Business Bank has backed the warehouse robotics provider as part of its recent Series C round.
"The UK consistently produces companies with market-leading technology, which need greater domestic backing to scale globally. The Bank is stepping up to ensure companies like Dexory have the capital they need to innovate and expand here in the UK. We are working with fund managers to create deeper pools of capital and are increasing the scale of our co-investing activity, which directly increases the size of funding rounds for high-potential UK companies."
The financing was co-led by Forbion and Corteva to accelerate the commercial rollout of disease-resistant banana varieties.
"This funding is a powerful endorsement of our team’s ability to bring breakthrough products to the hands of growers, exporters and consumers around the world. We are entering a new era, one where gene‑edited crops will significantly enhance food security and sustainability. 2025 proved that our technology delivers – not in the distant future, but right now. With two banana varieties already on the market and demand outstripping supply, this investment enables us to scale global production and expand into new crops faster than ever before. We are excited to be partnering with our new investors as we progress our mission to build a world-leading tropical seeds company."
The capital will be used to expand the AI infrastructure platform globally and grow internal teams.
"This is the fourth industrial revolution; the world is changing at a rapid pace. Over the next 5 years, Artificial Intelligence will be integrated into every industry, every product, and every job. Accelerating drug discovery, extending human life, autonomizing travel and robotics, lifting productivity, and driving massive growth. This is leading to the largest infrastructure buildout in human history,"
Wellington Management led the financing round, which brings total funding to £110m.
"Everyone is focused on building bigger models, but for physical AI, the bottleneck isn't model size. It's data readiness. You can have the most sophisticated model in the world, and it will still fail if the data feeding it is incomplete, inconsistent, or misaligned with real-world conditions. That's the problem we solve."
