Enterprise IT consulting with cloud, AI/ML, and data analytics services
PRI Global is a mid-sized IT consulting firm (201–500 employees) with deep expertise in Java/Spring backend systems, Kubernetes-based cloud deployments, and enterprise data platforms (Oracle, SAP, Tableau). The active project list—cloud readiness initiatives, AI model deployment tooling, MDM implementations, and payroll systems—reveals a customer base dominated by mid-market and enterprise operations teams managing legacy modernization. Hiring velocity is accelerating across engineering and HR, with a heavy mid-to-senior mix, suggesting growth-mode scaling of delivery capacity.
PRI Global provides IT consulting and managed services to enterprise and mid-market customers across North America. The company's service lines span Enterprise Applications (SAP, NetSuite, Oracle), Cloud Solutions (AWS, Azure, Kubernetes), Data Analytics (Tableau, Anaplan), and AI/ML automation. Founded in 1997 and headquartered in Ellisville, MO, PRI Global operates across the United States, Canada, and India. Current project work centers on cloud readiness assessments, AI model deployment infrastructure, governance frameworks, and regulated payroll and compliance systems—indicating a strong foothold in finance, HR operations, and regulated verticals.
Core: Java, Spring, Kubernetes, Docker, AWS, Azure. Data/BI: Oracle, SAP, Tableau, Anaplan. Testing: JUnit, Selenium, Jenkins. Also uses Salesforce Commerce Cloud, Python, and enterprise CAD tools (Fusion 360, SolidWorks).
Active projects include cloud readiness initiatives, AI model deployment tooling, MDM solution implementations, payroll processing systems, governance frameworks, and simulation pipelines for AI agent training.
PRI Global'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.