CNC machine tool, additive manufacturing and training solutions provider
Phillips Corporation sells, installs and services CNC machine tools and additive manufacturing systems, with a strong training arm built on Moodle, TalentLMS, Adobe Captivate and Camtasia. Hiring is accelerating and split almost evenly between sales and engineering, while the back office runs on Dynamics 365 Finance and Operations with X++, Azure Logic Apps and Power Platform, pointing to in-house ERP customization alongside a push for recurring service revenue.
Phillips Corporation is a privately held manufacturing solutions company headquartered in Hanover, MD, founded in 1961 and employing 201–500 people. It began as a machine tool distributor and now covers CNC machine tools, additive manufacturing, robotics, applications engineering, machine service and Haas maintenance training. The company serves federal government, industrial and education customers through commercial, federal and India-based divisions. Its work includes a public-private partnership with the U.S. Department of Defense focused on additive manufacturing education.
Phillips uses Mastercam, Siemens NX, Fanuc and Siemens Step 7 for machining work, Dynamics 365 Finance and Operations, SQL Server and Power BI for operations, and Salesforce and HubSpot for sales.
Yes. Hiring is accelerating, mainly in sales and engineering, with some manufacturing and operations roles, mostly at mid and senior levels in the United States.
Phillips Corporation is headquartered in Hanover, MD, with commercial operations in Colfax, NC and Philadelphia, PA, a federal division, and a machine tools unit in India.
Other companies in the same industry, closest in size
Phillips Corporation'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.