Agricultural ERP platform serving Latin America and Brazil
Agrosys builds enterprise resource planning software for agribusiness operations across Brazil and Latin America, with a tech stack anchored in Progress 4GL, Java, and Python. The company is heavily engineering-focused (13 of 19 active roles), concentrated in mid-level IC positions, and actively hiring across Brazil and the US — a geographic expansion signal. Pain-point data reveals infrastructure challenges (database availability, integrity, performance) alongside product-adoption friction (client tool uptake, system usage optimization), indicating a mature product grappling with both scale and customer onboarding.
Agrosys develops an ERP system purpose-built for agribusiness management, launched in 1996 and positioned as the first agricultural-focused ERP in its market. The company operates across Brazil (14+ states) and exports to Venezuela, Peru, and Guatemala, maintaining a consulting-first model where audit and process-mapping work accompany software implementation. Current development centers on production-module improvements, industrial operations support, and client enablement. The 51–200 employee organization is based in Criciúma, Santa Catarina, with a secondary office in Porto Alegre, Rio Grande do Sul.
Progress 4GL, Java, Python, Node.js, and JavaScript for application development. Power BI for analytics, Zabbix and Nagios for infrastructure monitoring, and Grafana for visualization.
Brazil (headquarters in Criciúma, Santa Catarina; operations across 14+ states), Venezuela, Peru, and Guatemala. The company also hires in the United States.
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Agrosys Tecnologia | Tecnologia em Agronegócio'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.