Technology consulting and staffing firm placing ERP, data and engineering talent
Kaygen is an Irvine-based consulting and talent firm whose tracked stack reads like a client-placement map: Oracle Cloud ERP/HCM/SCM, SAP S/4HANA and Dynamics 365 sit alongside PLC, CAD and LabVIEW tooling. Accelerating, senior-heavy hiring spans engineering, sales and finance across the US and India, with active work in embedded device security, medical device compliance and MSP/VMS staffing program growth.
Notable leadership hires: ERP Lead
Kaygen, Inc. is a privately held technology consulting and talent firm founded in 2003 and headquartered in Irvine, California, with additional locations in Noida and Bangalore, India. It supports client digital transformation through data strategy, data governance, data integration, cloud services, analytics and machine learning, combined with staffing services. It describes itself as minority woman owned and operated. The company has 51–200 employees and recruits in the United States and India, supplying expertise across enterprise ERP platforms, industrial automation and engineering tools.
Kaygen is an Irvine, California technology consulting and talent firm focused on data strategy, governance, integration, cloud and analytics, plus staffing for client engagements in ERP, engineering and security roles.
Kaygen's stack includes Oracle Cloud ERP, Oracle Cloud HCM and SCM, Oracle Fusion, SAP S/4HANA, SAP ERP, Ariba and Microsoft Dynamics 365, and it is recruiting an ERP Lead.
Kaygen hires in the United States and India, matching its Irvine headquarters and offices in Noida and Bangalore. Hiring is accelerating, led by senior engineering roles.
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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.