ERP migration and data transformation consulting for enterprise clients
Kaygen is a consulting and staffing firm focused on enterprise data architecture and ERP implementations, with deep SAP expertise (ERP, HANA, SuccessFactors, Ariba) alongside Oracle and cloud migration work. Active projects center on SAP-to-Oracle transitions and go-live cutover support, while pain points cluster around cross-functional coordination and post-migration stabilization—typical friction points in large platform replacements. The hiring mix (3 engineering, 2 manufacturing) and senior-leaning seniority skew reflect the specialized, high-stakes nature of their engagements.
Kaygen is a consulting and staffing firm headquartered in Irvine, California, with operations in Noida and Bangalore, India. The company serves enterprise clients navigating digital transformation, with particular focus on ERP strategy, data governance, cloud migration, and data integration. Their service model combines consulting expertise with talent placement; current work spans SAP ecosystem optimization (ECC, HANA, SuccessFactors), Oracle implementations, and manufacturing-sector integrations (Fanuc, Allen-Bradley, AutoCAD tooling). The firm was founded in 2003 and operates as a privately held, minority woman-owned business.
Kaygen uses SAP (ERP, HANA, SuccessFactors, Ariba), Oracle, AWS, Kubernetes, Java, Python, and manufacturing-specific tools (Fanuc, AutoCAD, CATIA). Cloud services and data integration platforms are core to their delivery model.
Current engagements include SAP ECC-to-Oracle migrations, go-live cutover activities, order maintenance module development, and Apriso-ERP integration work—all enterprise-scale platform transitions.
Kaygen, 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.