Sugarcane breeding and biotechnology R&D for Brazil's agribusiness sector
CTC is a 50+ year-old agricultural research institute focused on sugarcane genetics, breeding, and biotech. The tech stack reveals a hybrid biotech operation: heavy use of geospatial tools (QGIS, ArcGIS, Google Earth) alongside enterprise systems (SAP, Power BI) and lab management (LIMS), with Python and AutoCAD supporting both data analysis and design workflows. Recent hiring is heavily skewed toward research roles (8 of 15 active posts), suggesting acceleration of breeding programs and experimental validation work.
CTC develops improved sugarcane varieties, pest-resistant traits, and bioprocessing innovations for sugar mills, ethanol producers, and agribusinesses across Brazil. Founded in 1969 and based in Piracicaba, the organization operates across the full sugarcane supply chain—from field mapping and crop genetics through biorefining research. Their projects span classical breeding (variety mapping, selection criteria, germplasm pipelines) and modern biotech (somatic embryogenesis, artificial seeds, trait stacking). The organization manages experimental protocols, field trials, and cultivar validation at scale.
CTC's primary stack includes geospatial tools (QGIS, ArcGIS, Google Earth), lab information systems (LIMS), enterprise software (SAP), analytics (Power BI, Power Query), and development languages (Python, Java, C#). AutoCAD supports design work across biotech projects.
Active projects include sugarcane variety mapping, genetic selection protocols, in vitro plant development, pest resistance trait development, somatic embryogenesis, artificial seed pipelines, and integrated pest management approaches for commercial breeding programs.
CTC - Centro de Tecnologia Canavieira's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.