CloudNC has raised $20 million to expand AI software that moves precision components from design to a machine shop floor. Its existing CAM Assist product automates parts of CNC programming, while a planned Quote Agent will address the earlier task of deciding what a job should cost.
Nimble Ventures led the round, with Calculus Venture Capital, Entrepreneur First and Lockheed Martin’s LM Ventures participating. Founded in 2015, CloudNC is headquartered in London and operates a production facility in Chelmsford. Earlier backing came from Atomico and Episode 1 Ventures, and the company has relationships with Autodesk and Lockheed Martin.
Toolpaths Are the First Automation Target
Precision suppliers have to translate a digital part design into instructions for computer numerical control machinery. That process includes choosing machining strategies, tools and paths capable of producing the component within tight tolerances. CloudNC says CAM Assist automates this programming work from computer-aided manufacturing models, shortening the transition from design to physical production.
The company reports that CAM Assist is used in more than 1,000 machine shops worldwide, including several hundred in the United States. Named customers include Lockheed Martin and Major Tool and Machine. Those adoption figures come from CloudNC; the source does not provide an independent count or measurements of time saved, throughput gained or error rates.
CloudNC chief executive Theo Saville frames the problem as helping shops quote and program faster with the people and machines they already have. That positioning makes the software a capacity tool rather than a replacement for physical equipment. Its value depends on whether generated strategies fit each shop’s machines, materials and standards, and whether experienced machinists can review unusual cases.
Quoting Extends AI Earlier in the Workflow
CloudNC plans to release Quote Agent later in 2026. Preparing a bid can require staff to examine drawings, estimate cycle times and choose a price before a part reaches production. Manual work can delay a response or produce a margin that proves wrong after the job begins.
The company says Quote Agent will use AI to make estimates faster and more consistent while keeping expert judgment in control. That boundary will matter because a quick quote is harmful if it overlooks a difficult tolerance, unusual setup or expensive material. The announcement does not provide pricing, accuracy results or details of how estimates will be checked against completed jobs.
The new capital will also support go-to-market work, technical support and international partnerships. Scaling a manufacturing product requires more than adding users: machine configurations differ, production interruptions are costly and customers need help when generated instructions do not behave as expected.
Federal Access Adds a Compliance Test
CloudNC is working with Knox Systems to seek FedRAMP certification for CAM Assist. Approval would allow US government agencies, defense contractors and aerospace manufacturers subject to federal data rules to consider the product for regulated workloads. Certification is a goal, not a completed authorization.
If granted, the clearance would expand CloudNC’s addressable market and put its automated toolpath generation into environments where auditability and access control are especially important. Customers will need records showing which inputs produced a machining strategy, who approved it and how revisions were managed.
The funding connects three stages of an industrial sale: wider deployment of CAM Assist, a new estimating product and entry into regulated government work. Investor John Burbank expects automated CNC workflows to support more onshoring and global production, but that remains an investor projection rather than a demonstrated outcome. CloudNC has disclosed adoption and named customers, but the next evidence should be operational. Reliable programming, accurate quotes and successful compliance reviews will determine whether its AI can improve supply-chain capacity without shifting hidden risk into the machine shop.
