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    Semiconductor process and Subsystem expertise

SemiTrac provides cutting-edge test and characterization services to the manufacturers of critical subsystems used in semiconductor, MEMS and photovoltaic equipment.  Our areas of expertise include complex mechanical systems, gas and liquid delivery systems, electrical systems, and embedded control systems found in a wide variety of components, modules and subsystems. 

We focus on shortening qualification times, root cause failure analysis, and material compatibility verification. The result can have profound impact on the bottom line. Customers are able to achieve revenue faster with rigorously characterized, prototypes and production-ready subsystems and modules that will help advance cutting-edge tool, material and process development. 

The SemiTrac Process Solutions Team has decades of proven expertise in complex systems design, test and verification. Our  service offerings include product concept and performance evaluation, specification-based design consulting and complete prototype development. 

SemiTrac employs the most advanced analytical  tools and techniques for design of test parameters, system characterization and data analytics. 

We provide our emerging technology customers with an essential set of integrated test and analytical services that can provide the data they need to verify, adjust or modify the critical attributes of their process subsystems. Our highly experienced technical team can provide real, tangible solutions to complex technology challenges, thus enabling our customers to confidently execute on the recommended solutions.

We partner with a wide range of suppliers and technical experts across various platforms to provide best-in-class solutions.

Customer Speak

SemiTrac partners with major semiconductor OEM to investigate process parameters on third party component performance.

Fluid Systems Manager from major semiconductor OEM:

"SemiTrac was able to simulate the suspected operating conditions experienced at our customer site and gather detailed component performance data that helped us identify the problem, quantitate the effects, and propose corrective measures. We appreciate their assistance in helping resolve a technically challenging and complex problem."