IT transformation and multicloud services with AI-native operations
Centrilogic operates as a systems integrator across Azure, AWS, and hybrid cloud platforms, with a heavy emphasis on AI tooling (Azure OpenAI, Copilot Studio, Semantic Kernel) and infrastructure automation (Terraform, Azure DevOps). The stack shape—heavy on Microsoft ecosystem (.NET, C#, Power Apps, Dynamics)—combined with active projects in legacy system integration and ERP scaling, signals a practice built on modernizing enterprise applications. Engineering-led hiring (9 of 16 roles) and active pain points around renewal management and customer churn suggest they're building out service delivery infrastructure to handle larger transformation engagements.
Notable leadership hires: ERP Practice Lead
Centrilogic is an IT transformation and multicloud services firm operating from headquarters in Toronto, with regional bases in the USA and UK. The company serves mid-market and enterprise organizations across technology modernization, managed cloud operations, and application development. Their delivery spans Azure and AWS ecosystems, with specialized capabilities in legacy system integration, ERP implementations, and recently, AI-assisted architecture and workflow automation. The company manages customer outcomes through structured service delivery (QBRs), operational process design, and platform automation—areas where they currently face scaling challenges as they grow their ERP practice and address renewal retention.
Primarily Microsoft ecosystem (.NET, C#, Azure, Dynamics NAV, Power Apps, Power BI, Azure DevOps), alongside Python, FastAPI, React, and AWS. Heavy investment in AI tools: Azure OpenAI, Copilot Studio, and Semantic Kernel. Infrastructure: Terraform, Fortinet, Cisco firewalls.
Active projects include Terraform-based platform modules, legacy system integration, ERP practice scaling, Azure platform automation, AI-assisted architecture design, and managed services transition. Pain points center on customer renewal management and modernizing legacy systems at scale.
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Centrilogic'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.