CAM Assist AI Add-on for CAM Available for Siemens’ NX

CAM Assist uses AI to generate machining strategies for 3 and 3+2 axis CNC machines.

CAM Assist uses AI to generate machining strategies for 3 and 3+2 axis CNC machines.

CAM Assist accelerates CNC CAM programming by applying AI. Image courtesy of CloudNC.


CloudNC announces that its CAM Assist solution, which uses artificial intelligence (AI) to generate machining strategies for 3 and 3+2 axis CNC machines, is now available for Siemens’ NX CAM users. The new software is available as an AI-enabled add-on for Siemens’ NX software for product engineering and manufacturing. 

“Siemens’ NX is used by manufacturing leaders in some of the most important global industries, like aerospace and defence, automotive and industrial machinery,” says Theo Saville, chief executive and co-founder at CloudNC. “Simplifying the programming process within those sectors is critical if those manufacturers are to remain competitive, and CAM Assist will help their CNC programmers save time on their toolpath creation and part manufacture and become even more efficient and productive.” 

“Enabling our customers to use CloudNC technology to automate CNC programming in NX CAM exemplifies our dedication to continuous advancements,” says Armin Grunewald, vice president at Siemens Digital Industries Software. “The openness of the Siemens Xcelerator portfolio of industry software enables our ecosystem of technology partners to rapidly integrate their specialized solutions, which in return helps us to expand a comprehensive digital manufacturing software portfolio.”

CAM Assist uses advanced computer science techniques and AI to generate intuitive machining strategies in minutes or seconds, depending on complexity, which could take CNC machine programmers time to manually create. 

As a result, the amount of time it takes to program a CNC machine to make a component is reduced, compared to the previous manual programming process. 

CAM Assist is available for Siemens’ NX now.

Sources: Press materials received from the company and additional information gleaned from the company’s website.

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