Convent Capital Agri Food Fund invests in Computomics
Funding Provisional 98% confidence first seen
Computomics, a German agritech company, raised €6.3 million in Series B funding led by Convent Capital Agri Food Fund, which invested €5 million. The capital will be used to scale the commercial deployment of its climate-smart plant breeding platform, which uses machine learning and genomic analysis to help breeders predict crop performance under different environmental conditions.
The deal
Computomics €6.3M Series B · announced 18 Aug 2026
Investors Convent Capital Agri Food Fund
Deal terms as reported in the coverage below.
Decision brief
- What changed
- German agritech company Computomics raised €6.3 million in Series B funding, led by Convent Capital Agri Food Fund (€5 million), supported by existing investors and EU funding, to scale commercial deployment of its ML-based ×SeedScore climate-smart plant breeding platform.
- Why it matters
- This signals continued investor appetite for AI applications in agriculture, specifically in using genomic/ML models to predict crop performance under climate stress—relevant to food security and supply chain resilience planning. For companies in agri-input, seed, or food supply chains, this points to emerging tools that could affect breeding cycles and crop risk assessment, though the round's small size limits immediate market-wide impact.
- Evidence
- Single source (Tech.eu) reporting on the funding round; no independent corroboration provided, and details align between the event summary and the article content.
- What remains uncertain
- It is unclear how widely ×SeedScore has already been adopted commercially, what specific crops or regions are prioritized for scaling, and whether the EU funding component involves any conditions or timelines not disclosed. The competitive landscape for climate-smart breeding ML tools is not addressed.
- Monitor next
- Watch for announcements of specific commercial deployments or partnerships with seed companies/breeders following this funding round.
Analytical support, not advice — assumptions and open questions stated above.