IT services and talent partner with infrastructure, IAM, and data governance focus
NAM Info operates as a hybrid IT services and staffing firm, with technical depth in cloud infrastructure (IBM Cloud, Kubernetes, Terraform), identity governance (Active Directory, IAM roadmap planning), and emerging data platforms (Python, Pandas, NumPy). The hiring mix—5 engineering roles, 1 data, 1 ops, 1 security, mostly senior-level—combined with active projects around VDI/DaaS, device provisioning automation, and IAM implementation suggests a shift toward building internal delivery IP rather than pure staffing.
NAM Info Inc., founded in 2000 and headquartered in Cranbury, New Jersey, is a privately held IT services firm serving mid-market organizations across infrastructure, talent solutions, and digital transformation. The company operates with 201–500 employees across the United States and India. Service lines span IT staffing, software training, SAP implementation, data governance, data cataloging, and agentic AI. Active work includes VDI/DaaS deployment, identity governance implementations, device infrastructure automation, and transition support for ERP ecosystems (Oracle Fusion). The organization combines managed services delivery with consulting engagements, positioning itself as both a labor and solutions provider.
Primary stack: IBM Cloud, Kubernetes, Terraform, Python, Go, TypeScript, SAP, ServiceNow, Active Directory. Also operates on UNIX, Java, C++, COBOL. Currently adopting Configuration Manager, Intune, VDI, and Nexthink for endpoint management.
Active projects include VDI/DaaS solution deployment, device backup and provisioning automation, identity governance implementation, API integrations, ERP transition support (Oracle Fusion, SAP), and Nexthink monitoring deployment.
NAM Info Inc'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.