Enterprise IT consulting for digital transformation and legacy modernization
Exposant 3 is a Quebec-based consulting firm serving government and private-sector clients through organizational and technology transformation. The stack reveals a heavy legacy footprint (COBOL, CICS, PL/I, Oracle) paired with modern cloud and AI adoption—adopting Microsoft Dynamics 365, Power Platform, and RAG frameworks while actively migrating Oracle workloads to Azure. The hiring acceleration (88 roles in 30 days, mostly senior-level engineering and ops) and project pipeline (Oracle-to-Azure migrations, automated testing, SPA development) signal a shift from pure legacy support toward cloud-native delivery.
Exposant 3 delivers consulting and systems integration services to government agencies and enterprises across Canada and the United States, with expanding operations in Morocco. The firm specializes in business process automation, AI-driven customer experience, legacy system modernization, and program governance. Their project portfolio spans Oracle database migrations to Azure, development of web applications using Vue and TypeScript, automated testing infrastructure, and implementation of modern governance frameworks. The 51–200 person organization maintains a significant engineering and operations base, with active hiring concentrated in senior and mid-level technical roles.
Legacy core: COBOL, CICS, PL/I, Oracle, UNIX. Modern stack: .NET, C#, ASP.NET, Vue, TypeScript, PostgreSQL, SQL Server, Azure, Docker, Kubernetes, Jenkins, Ansible. Adopting: Microsoft Dynamics 365, Power Platform, LangChain, LlamaIndex, and RAG.
Active projects include Oracle-to-Azure database migrations, SPA web application development, automated testing deployment, legacy payroll modernization, and implementation of governance frameworks. Key pain points center on cloud migration, system performance monitoring, and process automation.
Exposant 3'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.