Construction ERP platform on Oracle, integrating AI and modernizing backend services
CMiC is a 50-year-old construction ERP vendor built on Oracle's technology stack (Database, WebLogic, ADF, Forms/Reports) and Java/Spring frameworks. Recent project activity shows the company is integrating OpenAI APIs and rebuilding backend services—a shift toward modern cloud-capable architecture while maintaining their core Oracle-based platform. Hiring is accelerating with a senior-weighted engineering team, reflecting execution pressure on those modernization efforts.
CMiC delivers unified financial management and project control software for construction firms, from general contractors to heavy/highway specialists and project owners. The platform runs on a centralized Oracle database and handles over $100 billion in annual construction revenue across North American customers and international markets. Core capabilities span accounting, project scheduling, resource management, subcontractor coordination, and human capital functions. The company operates across 201–500 employees, headquartered in Toronto, with active support and operations teams alongside product engineering.
CMiC runs on Oracle Database, Oracle WebLogic, Oracle ADF, and Java/Spring frameworks (Spring Boot, Jakarta EE). Frontend uses HTML5 and jQuery. Development tools include Maven, IntelliJ IDEA, and Jira. The company is integrating OpenAI APIs in ongoing projects.
Active projects include PMO maturity initiatives, backend services modernization, OpenAI API integration, Oracle ADF component development, knowledge base improvements, and product feedback integration—signaling a shift toward AI-enhanced capabilities and more maintainable cloud-ready architecture.
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CMiC'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.