Specialty surgical tables and patient positioning products for spine and ortho
Mizuho OSI designs and manufactures procedure-specific surgical tables and pressure injury products, running a hybrid stack of SolidWorks, Mastercam, Vericut and CNC on the shop floor with Salesforce, ServiceMax and Pardot on the commercial side. Adoption of SAP MM, QM, PLM and Supplier Relationship Management points to an ERP-led overhaul of materials, quality and supplier processes, while hiring splits evenly between engineering and sales.
Mizuho OSI, founded in 1978 and headquartered in Union City, California, develops surgical patient positioning systems used in operating rooms at hospitals and outpatient centers. Its portfolio covers specialty tables for spine and orthopedic procedures, plus disposable and reusable patient care products aimed at preventing surgical pressure injuries. The company is a privately held, wholly owned subsidiary of Japan-based Mizuho Corporation and employs 201–500 people. Operations span in-house engineering and manufacturing, field service, and a direct sales organization in the United States.
Mizuho OSI uses Salesforce (Apex, Lightning Web Components, Field Service), Pardot, ServiceMax, SAP and SAP SuccessFactors, plus engineering tools like SolidWorks, Altium Designer, LabVIEW, MATLAB, Mastercam and Vericut.
Yes. Mizuho OSI is adopting SAP MM, SAP QM, SAP PLM and SAP Supplier Relationship Management, alongside existing SAP and SuccessFactors usage, and job posts reference supply chain solution implementation.
Yes. Engineering and sales are the company's largest hiring areas, with mostly mid-level and manager roles based in the United States, at a steady hiring pace.
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Mizuho OSI'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.