Enterprise consulting spanning agility, digitalization, and cloud infrastructure
Cream is a 51–200-person consulting firm headquartered in Brussels, operating across banking, finance, energy, transport, insurance, and public sector. The tech stack—Java, .NET, Azure, enterprise architecture tools (Visio, ARIS, Enterprise Architect), and BI platforms (Cognos, Tableau, Power BI, SAS)—reflects a traditional enterprise services profile focused on systems integration and governance. Current hiring is engineering-heavy (7 of 13 roles), with mid-to-senior engineers in Canada, while pain points center on scaling the consulting bench and managing real-time data workloads tied to smart grid and energy management projects.
Cream by Audensiel is a consulting firm founded in 2009, now part of the Audensiel Group (a 3,000-person French digital services company with presence in France, Italy, Spain, Belgium, Mexico, and Canada). Cream delivers consulting services in enterprise agility, digitalization, product development, compliance, information systems, big data/BI, IT infrastructure, cloud, and project management. The firm works across 15+ years of experience in regulated and complex industries, with active engagements in smart grid implementation, energy trading platforms, real-time data systems, and digital transformation. The multi-disciplinary team operates on a project-staffing model, matching consultants to client-specific needs.
Java, .NET, Azure, Jira, Enterprise Architect, ARIS, Visio, Camunda, Spring, Maven, Hibernate, Cognos, SAS, Tableau, Power BI, QlikView, Business Objects, and Python for analytics and business intelligence.
Banking, finance, transport, energy, insurance, public sector, and telecommunications. Current projects include smart grid implementation, energy management trading, real-time data systems, and digital/e-commerce transformation.
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Cream Consulting'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.