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Create CAM Programs up2 70% Faster

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up2parts autoCAM for GibbsCAM

 

Automated AI-driven CAM programming


Automate your existing CAM infrastructure: Imagine generating CAM programs in just a few minutes is no longer a distant dream! up2parts autoCAM will soon enable up to 70% faster creation of CAM programs. This innovative solution allows you to create and transfer ready-to-post-process NC-code to GibbsCAM in a fraction of the time and at a significantly reduced cost.

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How up2parts autoCAM for GibbsCAM works

up2parts autoCAM For 

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Automation of your existing CAM infrastructure: CAM programs created in minutes – does that sound like a distant dream? With up2parts autoCAM, you can create CAM programs up to 70% faster, transfer them to your existing CAM software, and have the NC code ready in a fraction of the time, at a fraction of the cost..

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  • Automatic suggestions for CAM programs instead of time-consuming macro- and rule-based CAM programming

  • Operations & tools are suggested automatically

  • Unified programming standards to reduce the workload of skilled worker

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Utilizing the power of AI


Through ongoing data integration and user training, the AI-based software evolves into a customized manufacturing co-pilot. It delivers precise and actionable recommendations for manufacturing guidelines, planning, and CAM programming.

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Who is up2parts?


up2parts GmbH is a German-based software company specializing in developing AI-driven software solutions for automated manufacturing processes. Supported by strategic investors such as DMG MORI AG, Sandvik SE, and Schaeffler AG, up2parts is closely connected to the industry.

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up2parts' vision is to transform the manufacturing industry through automation. up2parts offers self-learning software solutions that combine 3D models with production processes and know-how to create work plans and CAM programs more quickly and efficiently. By leveraging advanced algorithms and machine learning, up2parts aims to streamline manufacturing workflows, that reduce manual effort, and improve overall productivity for production companies.

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