Machine shops that program parts with GibbsCAM can now generate machining strategies for 3 and 3+2 axis CNC machines with AI, as CloudNC‘s CAM Assist solution is now available as an add-on to GibbsCAM.
GibbsCAM is the CAM platform shops use from daily production runs to geometrically demanding components. The add-on keeps those programmers inside their existing GibbsCAM environment while handing the toolpath generation to AI.
Thorsten Strauss, president of GibbsCAM said: “At GibbsCAM, our focus has always been to provide manufacturers with powerful, practical solutions that help them produce parts more efficiently. By integrating CAM Assist, we are bringing cutting-edge AI technology directly into the workflows our customers already know and trust. This collaboration with CloudNC enables programmers to automate repetitive programming tasks, accelerate part programming, and focus their expertise where it delivers the greatest value, all while maintaining full control of the machining process.”
Theo Saville, chief executive and co-founder at CloudNC, added: “GibbsCAM is a powerful fit for machine shops that want a smart, flexible CAM solution that can scale from day-to-day production work to produce complex components. Bringing CAM Assist to GibbsCAM helps those users go even faster, meaning programmers can spend less time on repetitive toolpath creation, stay firmly in control of the process, and focus more of their expertise on getting high-quality parts out of the door.”
CAM Assist produces machining strategies in minutes or seconds, depending on part complexity, where the same work can take a CNC programmer hour or days. That shortens programming time, a bottleneck on the factory floor, and reduces the time spent estimating what a new component will cost to program.
The rollout includes CAM Assist 2.0. The upgrade pairs AI-generated toolpaths with step-by-step oversight. Programmers can configure machines, materials and tool assemblies, assess parts before running, and review AI suggestions as they are made. A Strategy Editor lets them inspect, adjust and approve machining strategies before sending them back into GibbsCAM.
Source: GibbsCAM
About GibbsCAM
GibbsCAM, part of Sandvik Manufacturing Solutions, develops CAM software for CNC machine programming. Founded in 1982, the company is headquartered in Thousand Oaks, CA. Its software supports milling, turning, Swiss machining, multitask machining and wire electrical discharge machining on CNC machine tools with two to five axes. The GO product line includes options for milling, turning, five-axis machining, multitask machining, Swiss machining and wire EDM. GibbsCAM imports CAD models, creates toolpaths, simulates machining and produces post-processed NC programs. It also provides training, technical support, implementation services and post-processor development. Customers include machine shops, contract manufacturers and manufacturers in aerospace, medical, automotive and industrial sectors. The company sells through direct operations, resellers and machine-tool partners.
About CloudNC
CloudNC develops CAM software for CNC machine programming. Founded in 2015, the company is headquartered in London and operates a factory in Chelmsford, England. Its main product, CAM Assist, works with CAM software to generate machining strategies and toolpaths for three-axis and three-plus-two-axis milling. Users can review and revise generated operations before producing CNC machine code. CAM Assist also provides machinability feedback, cutting-parameter suggestions, cycle-time estimates and fixture designs. The software integrates with Autodesk Fusion, Mastercam, Siemens NX CAM, GibbsCAM and SolidCAM. CloudNC’s Chelmsford factory manufactures precision components for aerospace, space, energy, automotive and defense applications. According to the company, more than 1,000 machine shops worldwide use CAM Assist. CloudNC provides technical documentation, training materials and customer support. Atomico and Episode 1 Ventures have invested in the company, alongside Autodesk and Lockheed Martin.
