ZORGI is a Brussels-based healthcare software company operating in 90%+ of Belgian hospitals, built around legacy and modern stacks—C#/.NET, React, Next.js, Python—with active investments in test automation, ML data pipelines, and ETL design. The hiring mix (17 engineers, 6 healthcare, 6 finance roles, accelerating velocity) and project portfolio (pharmacy automation, EHR quality, data quality frameworks for AI) reveal a company modernizing a complex clinical application portfolio while building toward data-driven decision support.
ZORGI designs and supports hospital software across patient administration, electronic health records, pharmacy, financial processes, and logistics. Founded in 2020 as part of KEYES (Ethias Group), the company combines domain expertise with 400+ professionals delivering systems that handle patient data, billing, invoicing, and care workflow automation. ZORGI operates across Belgian hospital infrastructure, where it manages critical integration points—SAP S/4HANA for finance, Epic/InterSystems for clinical data, proprietary modules for pharmacy and logistics. Current work centers on modernizing application architecture, automating testing strategies, and establishing data quality guardrails as the company shifts toward AI-enabled analytics.
ZORGI runs C#, .NET, React, Next.js, Python on the application layer, with Jira, Confluence, Azure DevOps for delivery, SAP S/4HANA for financial systems, and emerging ETL/GraphQL infrastructure for data pipelines and integrations.
Active projects include test automation strategy, performance testing, multi-year architectural modernization, ML data pipelines, OWASP security testing, release management, pharmacy software prototypes, and GDPR compliance integration.
ZORGI'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.