Custom software, AI and data engineering firm for enterprise clients
Vooban is a Québec custom software and AI consultancy running a multi-cloud stack (Azure, AWS, GCP) on .NET, React and Python, with Kubernetes, Helm and Terraform underneath. Adoption of Microsoft Fabric and dbt alongside LangChain points to a push into analytics engineering and agentic AI delivery. Senior-heavy, accelerating hiring plus a new Deployment Director role suggests it is scaling delivery capacity and building its own products.
Notable leadership hires: Tech Lead, Deployment Director
Vooban is a privately held software development firm founded in 2011 and headquartered in Québec City, Canada, with 51–200 employees. It designs and builds custom applications, system architectures and cloud solutions, with stated focus areas in AI, data and IoT. Its specialties cover sectors such as insurance, finance, and defense and public safety. Delivery runs on .NET, C#, TypeScript, React and React Native, backed by PostgreSQL, SQL Server and MongoDB. Hiring is concentrated in Canada across engineering, product and data.
Vooban builds with C#, .NET Core, TypeScript, React, React Native, Node.js and Python, on PostgreSQL, SQL Server and MongoDB, deployed across Azure, AWS and GCP with Kubernetes, Helm, Terraform and GitLab CI/CD.
Yes. Hiring is accelerating and led by engineering, followed by product and data, with most openings at senior or lead level, including Tech Lead and Deployment Director roles, all in Canada.
Current initiatives include cloud architecture design, end-to-end agentic AI architectures, AI integration into daily workflows, autonomous vehicle adoption work and infrastructure cost estimation.
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Vooban'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.