up2parts cockpit for GibbsCAM centralizes and structures manufacturing data, enabling AI-driven production through enhanced visualization and automatic tolerance extraction for efficient manufacturing processes.
AI systems thrive on structured, contextualized data. In manufacturing, data volume is not the challenge—data exists everywhere. The real problem is that it is scattered, siloed, and mostly unstructured.
up2parts cockpit solves this by acting as a central entry point for all manufacturing-related data, transforming dispersed information into a structured, accessible, and reusable digital foundation for AI-driven production.
With its resource-efficient architecture, up2parts cockpit centralizes and organizes manufacturing data and makes it available across departments—from engineering and planning to production and CAM.
The integrated CAD Viewer provides a clear, intuitive interface and can even be used directly on machine tool controls, bringing critical information exactly where it is needed.
The up2parts Viewer is more than visualization—it is an efficiency tool for the entire manufacturing organization.
All manufacturing-relevant data is available in one clearly structured environment.
Tolerances are critical to component functionality. The intuitive PMI tool allows users to easily add manufacturing information directly to the 3D model, including:
This turns pure geometry into function-ready manufacturing data.
A key highlight is the automatic extraction of tolerances from technical drawings.
These tolerances are stored in a structured format directly on the part, converting simple 3D models into fully tolerance-defined digital models.
The structured tolerance data can be reused for:
up2parts cockpit transforms scattered manufacturing data into structured, reusable intelligence—laying the foundation for efficient, transparent, and AI-enabled production.
