Digital platforms for Moroccan public administration, built on Java and BPM
RIBATIS builds e-government platforms for Moroccan public administrations, covering permits, municipal taxation and GIS on its own Java/J2EE framework. The stack pairs a classic Spring, Hibernate, Oracle and Angular core with a heavy geospatial toolset (QGIS, ArcGIS, FME, GDAL/OGR) and a Jenkins/SonarQube quality pipeline. Hiring is accelerating and lead-heavy, skewed toward HR and engineering, which points to a talent-building push alongside client migration and retention pressure.
RIBATIS is a privately held software company headquartered in Casablanca, Morocco, founded in 2007. It delivers digital platforms to public administrations, with domain focus on urban planning authorizations, municipal taxation, economic permits and geographic information systems. Its products run on a proprietary Java/J2EE framework built around BPM and model-driven architecture concepts. The company employs 11–50 people and hires in Morocco, offering consulting, ERP and business process engineering alongside its platforms.
RIBATIS builds on Java with Spring, Hibernate, Angular, Oracle, MySQL and Elasticsearch, plus GIS tools like QGIS, ArcGIS, FME and GDAL/OGR, and Maven, Jenkins and SonarQube for build and quality.
It provides digital platforms for Moroccan public bodies covering urban planning permits, municipal taxation, economic authorizations and GIS, built on a Java/J2EE framework using BPM and model-driven architecture.
Yes, hiring in Morocco is accelerating, concentrated in HR and engineering with lead-level roles dominant, plus openings in data, marketing, product and sales.
Other companies in the same industry, closest in size
RIBATIS'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.