By Editor, Global AgInvesting Media
Computomics GmbH, a bio-analytics and genomic prediction company headquartered in Tübingen, Germany, has completed a €6.3 million Series B funding round, according to a recent press release. The investment round was led by Convent Capital Agri Food Fund with a €5 million contribution, alongside participation from existing backers including High-Tech Gründerfonds (HTGF), MBG Baden-Württemberg, Amathaon Capital, as well as the company’s founders and scientific advisors.The financing is backed by support from the European Union’s InvestEU Fund.
The capital injection arrives during a critical moment for European agriculture. Heatwaves and drought conditions throughout recent seasons have led to significant yield losses across multiple crop types. Furthermore, reduced yield forecasts from institutions such as the European Commission’s Joint Research Centre—particularly in key crops like maize and sunflower—highlight an urgent demand for crop varieties capable of surviving erratic environmental conditions.
Scaling Advanced Machine Learning and Predictive Tools
Computomics intends to use the capital to scale commercial distribution of its flagship machine learning software platform, xSeedScore®. Founded in 2012, the company applies machine learning algorithms to complex genomic data to project how specific plant genotypes perform under varied physical environments, including fluctuating temperatures, rainfall levels, soil structures, and farming management practices.
Unlike traditional trial-and-error breeding methods that require years of physical field testing, xSeedScore® enables commercial breeders to evaluate and select climate-resilient crop candidates computationally at full commercial scale.Beyond xSeedScore®, Computomics provides a portfolio of data management and analytical tools, including CropCompass, BreedScope, the Pantograph omics data hub, and microbiome technology suites like MORPHEUS and MEGAN7.
The firm works across field crops, vegetables, forages, and specialty crops, already counting three of the world’s four largest agricultural input firms among its enterprise client base.
Leadership and Investor Perspectives
According to Dr. Sebastian J. Schultheiss, co-founder and Chief Executive Officer of Computomics, the technology resolves a fundamental timing bottleneck in modern agriculture. He noted that while plant breeders have consistently aimed for climate resilience, they historically lacked predictive tools to identify viable crop traits before conducting multi-year field trials—time that current climate shifts no longer permit.The Series B capital allows Computomics to deploy its predictive capabilities into a significantly broader range of global breeding operations.
“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,” said Schultheiss in the press release. “This financing is about getting that capability into far more breeding programs, faster.”
Investor representatives emphasized the strong alignment between sustainable agricultural impact and economic incentives. Stephen McLoughlin, Partner at Convent Capital Agri Food Fund, added, “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.”
Additionally, Dr. Frank Hensel, Principal at HTGF, pointed out that AI-driven predictive breeding of stress-resistant crops aligns directly with the German federal government’s High-Tech Agenda, serving as an important technological lever to maintain food supply stability in shifting climatic conditions.
“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,” said Hensel. “HTGF has supported Computomics since the seed phase and congratulates the team on this growth financing.”
Industry Outlook
The funding for Computomics reflects a wider industry trend as global seed suppliers and genomic institutions turn to artificial intelligence and data science to shorten commercial development cycles.By leveraging machine learning models to navigate complex multi-trait genetics and environmental variables, the company aims to ensure agricultural productivity keeps pace with changing weather patterns.
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