IT services firm delivering custom development and technical staffing since 1992
Compri Consulting is a 30-year-old IT services and staffing firm now actively modernizing its own infrastructure and customer delivery stack. Stack composition (Microsoft cloud + SAP enterprise + SQL Server) reflects a traditional enterprise services posture, but recent hiring velocity (20 roles in 30 days, weighted toward senior engineers and data practitioners) and active projects (SAP BTP adoption, ERP-CRM integration, low-code platform fixes) suggest a shift toward higher-margin implementation and integration work rather than pure staffing.
Founded in 1992, Compri Consulting provides custom software development and technical staffing services (contract, contract-to-hire, and direct-hire placements) to private and public sector organizations. Based in Glendale, Colorado, the firm operates with 51–200 employees across the United States and India. The active project list reflects a modernization cycle: SAP S/4HANA migrations, cloud migrations to Azure, integration platform consolidation, and talent acquisition system implementations. Common pain points across the portfolio—budget management, data accuracy, integration troubleshooting, and documentation—signal internal capacity constraints typical of services firms scaling delivery operations.
Core infrastructure: Microsoft (Hyper-V, Azure, Intune, Azure AD), SAP (ECC, S/4HANA, BTP), SQL Server suite. Monitoring/security: SolarWinds, Palo Alto Networks, Veeam. Development: C#, Entity Framework, PowerShell. Currently adopting SAP BTP and replacing Cisco networking tools.
Glendale, Colorado. The firm was founded in 1992 and operates as a privately held company with 51–200 employees.
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Compri 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.