Plant genetics company scaling analytics and supply-chain automation
GDM is a 40-year-old seed genetics business now investing in data infrastructure and process automation. The tech stack spans Python, TensorFlow, and PyTorch alongside SAP, Power BI, and RPA—indicating a shift toward ML-driven crop improvement and workflow automation. Active hiring in sales, engineering, and data roles (19 posted in the last 30 days, velocity accelerating) reflects a push to scale market access and operational efficiency across field trials, royalty management, and production planning.
GDM is a privately held plant genetics company headquartered in Buenos Aires, Argentina, with 1,001–5,000 employees. Founded in 1982, the company develops and commercializes improved crop varieties for row crops, operating across multiple continents. The business model includes direct seed sales, field trial networks, and royalty agreements with seed multipliers. Core operational challenges center on accurate royalty calculation, compliance with seed production regulations, supply-chain continuity, and meeting production deadlines across distributed growing regions.
GDM runs Python, Java, C#, SAP, and Azure for core systems; Power BI and Tableau for analytics; TensorFlow and PyTorch for ML; and RPA for process automation. Actively adopting Power BI for expanded business intelligence.
Key initiatives include field trial execution (sowing to harvest), corn improvement programs, royalty audits for seed multiplier clients, SAP-based production mapping, and business intelligence tool implementation across the organization.
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