Babtec builds on-premise and cloud quality management systems for mid-market to enterprise manufacturing. The tech stack—C#, SQL Server, Oracle, SAP connectors, Azure—reflects a mature, ERP-integrated product. Active hiring in engineering (5 roles) paired with projects in test automation, CI/CD, and multi-tenant SaaS architecture signals a shift toward cloud-native delivery and platform consolidation, while finance digitalization and BI tooling appear as internal operational constraints.
Babtec develops Quality Management Systems (QMS) software, primarily Babtec.Q, for manufacturing companies across sectors and sizes. The product handles quality planning, assurance, and management workflows, integrating with major ERP platforms including SAP, Dynamics 365, and Sage. Founded in 1994, the company operates from four locations in Germany with over 140 employees. Customers rely on the software to ensure product compliance and traceability across supply chains. The company positions itself as a market leader in QMS technology, with growth driven by close partnerships with ERP vendors and continuous product evolution.
C#, SQL Server, Oracle, Azure, Angular, TypeScript, Azure DevOps. The platform integrates with SAP, Dynamics 365, Sage, and other ERP systems via connectors. Reporting uses Power BI.
Yes. Engineering has 5 active roles (4 mid-level, 2 senior, 1 junior, 2 interns across the company). Hiring velocity is accelerating, all positions in Germany.
Babtec.Q product development, multi-tenant SaaS platform migration, test automation, CI/CD pipelines, web modernization, and internal finance process digitalization and BI tooling.
Babtec Informationssysteme GmbH'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.