CloudNC raises $20M to expand AI-powered CAM Assist for CNC machining

CloudNC, which launched in 2015 under co-founders Theo Saville and Chris Emery, makes AI-powered CAM Assist software that plugs into traditional computer-aided manufacturing (CAM) systems such as Autodesk Fusion and Mastercam. The software automates parts of Computer Numerical Control (CNC) machining, the process by which computer-controlled machines cut and shape materials into parts for industries like automotive, defense, and consumer hardware.

Saville, the company’s co-founder and CEO, told TechCrunch that traditional CAM systems remain largely manual. “Traditional CAM systems are powerful, but in most workflows, they are still tools that allow programmers to manually specify how a part should be machined,” he said. The company’s CAM Assist software instead generates an execution strategy, selecting suitable tools, approach directions, and cutting feeds and speeds, then drafting the code needed to drive the CNC machine.

Saville emphasized that the goal is to make skilled workers more efficient, not replace them. “If traditional CAM is a powerful toolkit, then CAM Assist is more like an expert assistant sitting alongside the programmer, automating much of the first-pass thinking and repetitive setup so the human can review, improve, and approve the approach,” he said.

According to the company, more than 1,000 machine shops worldwide use CAM Assist, and 80% of its customer base is in the U.S. CloudNC employs 80 people. The company’s last major raise was four years ago; the new extension comes as the business focuses on what Saville described as its biggest goal, though details beyond that were not disclosed in the announcement.

Why This Matters

CloudNC's funding round highlights growing investor interest in applying AI to traditional manufacturing, an industry often slower to adopt new software.
CNC machining is foundational to multiple critical sectors, including defense and automotive, so automation that speeds up part production could have broad supply-chain implications.
With 80% of its customer base in the U.S., the company’s expansion may signal where manufacturing-tech demand is concentrated.

Background

CloudNC operates in the computer-aided manufacturing space, where machinists and programmers use CAM software to plan how a part will be cut, held, and tooled. Historically, this process has required significant human expertise and manual input. The company’s CAM Assist product aims to automate the early, repetitive stages of that planning, leaving final decisions to human experts. This is part of a wider trend of AI-assisted design and manufacturing tools aimed at addressing skilled-labor shortages and productivity bottlenecks.

Key Perspectives

CloudNC: The company positions its software as an expert assistant that increases efficiency without removing judgment, with the goal of helping skilled workers do more. Customers: Machine shops adopting CAM Assist likely value faster first-pass programming and reduced manual setup, though the source does not detail their direct experiences. Critics/Skeptics: Some manufacturers may be cautious about relying on AI-generated machining strategies for complex or high-tolerance parts, preferring to keep full control with experienced programmers. The long gap between funding rounds may also raise questions about commercial traction.

What to Watch

Whether CloudNC expands beyond the 1,000 machine shops currently using CAM Assist, and how it grows its U.S. customer base.
The company’s stated “biggest goal,” which was cut off in the report — future announcements may clarify product roadmap or geographic expansion.
Competitive response from traditional CAM vendors like Autodesk and Mastercam as AI-native tools become more common in manufacturing.

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