Thermal systems and controls manufacturer for semiconductor and industrial processing
Process Technology manufactures heaters, controls, power supplies, and thermal systems for semiconductor and industrial applications. The tech stack reveals a traditional manufacturing DNA—CAD (SolidWorks, AutoCAD, Inventor), ERP (SAP, Infor SyteLine), and embedded systems (Microchip, NXP, C/C++)—with active internal work on AI model development and validation. Hiring has accelerated across manufacturing and logistics roles, while pain points around ERP data integrity and production efficiency suggest ongoing operational scaling.
Notable leadership hires: Talent Director, Chief of Staff
Process Technology designs and manufactures thermal control equipment, immersion heaters, heat exchangers, and process controls for semiconductor fabs, industrial manufacturers, and surface-finishing operations. Based in Willoughby, Ohio, the company operates with ISO 9001:2015 certification and serves mid-market customers requiring high-purity water heating, temperature regulation, and power delivery systems. Current focus spans warehouse design, advanced testing tooling, and ERP modernization alongside emerging AI initiatives for process optimization.
SyteLine (ERP), Mastercam (CAM), SolidWorks (CAD), AutoCAD, Inventor, and SAP for operations. Controls and embedded systems use Microchip and NXP microcontrollers with C/C++ and MATLAB.
Current projects include warehouse design, advanced testing and tooling development, AI model development and validation, ERP data integrity improvements, and assembly instruction standardization to address production efficiency and delivery delays.
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Process Technology'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.