Computomics Raises €6.3 Million to Expand AI-Powered Climate-Smart Crop Breeding

The new funding will help Computomics expand its climate-smart breeding platform as heat and drought continue to affect crops across Europe.

The funding round was led by Convent Capital Agri Food Fund, which invested €5 million.

Existing investors, including High-Tech Gründerfonds (HTGF), MBG Baden-Württemberg, and Amathaon Capital, also took part in the round. Computomics’ founders and scientific advisors also invested.

Computomics will use the funding to expand the commercial use of its breeding platform and bring its technology to more customers.

The company also receives support from the European Union through the InvestEU Fund, helping it grow its work on more climate-resilient agriculture.

“We back companies whose environmental impact grows with their commercial success. Better breeding predictions mean fewer wasted seasons and varieties that hold up in the field, so the impact case and the business case point the same way. That alignment is why we led this round,” said Stephen McLoughlin, Partner at Convent Capital Agri Food Fund.

“Breeders have never lacked ambition about climate resilience. What they have lacked is a way to see it before the field tells them, which takes years they no longer have. This financing is about getting that capability into far more breeding programs, faster,” said Dr. Sebastian J. Schultheiss, co-founder and CEO of Computomics

“AI-based breeding of stress-resistant crops is part of the German federal government’s High-Tech Agenda for good reason: it is one of the levers that matter most as the climate shifts. HTGF has supported Computomics since the seed phase and congratulates the team on this growth financing,” said Dr. Frank Hensel, Principal at High-Tech Gründerfonds.

Computomics was founded in 2012 as a spin-off from the Max Planck Institute for Biology and the University of Tübingen. The company develops machine learning technology to help predict how different plant varieties will perform in specific environmental conditions.

Its technology combines genetic information with environmental data such as temperature, rainfall, and soil conditions. It also uses data collected from fields to make more accurate predictions about how crops may grow and perform.

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