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Path to autonomous production

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CloudNC has received an additional $45m in funding from major backers for its advanced software for CNC machines
that will be made available to factories. The company’s vision is to make manufacturing a single click process

Automating the precision manufacturing process has the power to be a game-changer across machine shops of all sizes and CloudNC (, a UK-based developer of advanced CNC software it tests in its own manufacturing facility, is now close to achieving its objective of rolling out its product to the market.

Launched in 2015, the company is seeking to democratise production and has now secured $45m Series B round funding led by Autodesk with Lockheed Martin and British Patient Capital, participating alongside returning investors Atomico and Episode 1 Ventures.

The additional capital will help develop CloudNC’s SaaS offering and roll out at-scale through integrations with CADCAM packages such as Autodesk’s platforms, and to expand its unique full-stack manufacturing capability in Chelmsford, Essex, where the software is continuously iterated towards full manufacturing autonomy.

The cash injection will also further grow the AI manufacturing technology. The first-of-its-kind SaaS product will enable large corporations, SMEs and individuals to tell CNC machines how to make precision parts with one click and transform the way precision engineers work.

Speaking to Machinery, Theo Saville, CEO and co-founder of CloudNC, explains: “In terms of milestones, the technology is now ready to integrate effectively, and it is pretty just a case of plugging into the correct APIs. Later this year we will be making an announcement revealing much more detail about the software who our programme is integrating with.

“I do not want to share too much detail at the moment, but it is right around the corner at this point, which is an amazing milestone having been working on this at that point for seven years.

“Most of the capital is going to go towards continuous development of that technology to support more complex harder materials, or complex geometries and to increase the level of automation and just leverage it higher and higher.”

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