CloudNC raises £15m for the AI that programs factory machines

CloudNC, a London-based company whose AI writes the programs that control factory cutting machines, has raised £15 million (reported by another UK outlet as around $20 million – the same round) to expand its main product and launch a new one. The tool, CAM Assist, uses AI to do a job that normally falls to highly skilled machinists: working out the strategy and toolpaths a computer-controlled machine follows to cut a metal part. The honest bottom line: this is a real, unglamorous example of AI moving into physical manufacturing rather than chatbots, backed by serious money including a US lead investor and Lockheed Martin's venture fund. The headline figures on customers and impact, though, come from the company, so treat them as claims rather than settled facts.

This piece reflects reporting as of September 2026. Funding details and product timings are as reported by UK trade press and the company.

What CloudNC actually makes

Most factory-made metal parts are cut by CNC machines – "computer numerical control", meaning a computer program drives the tools. Before the machine can run, someone has to write that program: choosing the sequence of cuts, the toolpaths, the speeds. This is skilled, time-consuming work, and there are not enough experienced people to do it. CloudNC's CAM Assist applies AI to that step, drafting a machining strategy in minutes so an operator can review and refine it rather than build it from scratch. The company frames it as letting existing teams get more out of the machines and staff they already have.

That is a narrower and more grounded claim than most AI marketing. It is not promising to replace machinists; it is targeting one bottleneck – the programming – and leaving a human to check the result. Whether it saves as much time as advertised depends on the shop and the part, and the productivity figures originate with CloudNC, so they are worth treating with the usual caution around vendor numbers.

Diagram contrasting manual CAM programming time with AI-assisted programming

The pitch: compress hours of manual programming into minutes, then let an operator check it. (Illustrative)

Who is putting in the money, and why it is interesting

The round is led by Nimble Ventures, a US venture investor, with participation from Calculus Venture Capital, Entrepreneur First, and LM Ventures, the corporate venture fund of Lockheed Martin. That last name is the tell. The pitch attached to this raise is not really about software efficiency; it is about "onshoring" – bringing manufacturing of critical components back to the US and UK – and about making mission-critical production faster and less dependent on scarce expertise. Nimble's founder tied the investment directly to increasing domestic manufacturing of critical components. A defence contractor's venture arm backing a British factory-floor AI tool fits that geopolitics neatly.

For UK readers, the double-edged part is familiar. A promising British AI company is scaling, which is good; but the lead cheque and the strategic framing are American, and CloudNC says it is working with a partner toward FedRAMP certification – a US government cloud-security standard – so it can handle sensitive American manufacturing workloads. The company reports more than 1,000 machine shops using CAM Assist globally, including hundreds in the US.

Illustration of a UK factory floor with machines and an investment graphic

A London AI firm, a US lead investor and a defence-linked venture fund, all pitching reshoring. (Illustrative)

What the money is for

CloudNC says the funding will push CAM Assist into more machine shops and new markets, and fund new products. The next one, due this year, is Quote Agent: an AI tool for quoting and estimating, aimed at the moment a shop assesses a new job and prepares a price. Quoting is another slow, judgement-heavy task in manufacturing, and applying AI to it is a logical extension of the same idea – automate the paperwork-heavy steps around the machine, not the cutting itself. As with any roadmap promise, "available this year" is the company's timeline, not a delivered product.

Where it sits in the UK's AI funding picture

CloudNC is part of a run of UK companies raising money to apply AI to hard, physical or specialist problems rather than to general chatbots. Recent examples on this site include London's Embedd, working on "physical AI", a GCHQ-founded firm raising to give AI business context, and a Manchester startup policing the code AI writes. The wider picture, as we found looking at UK robotics funding this year, is that money is flowing but concentrated. A mid-size raise for a company applying AI to a genuine industrial bottleneck is a healthier sign than another consumer AI wrapper, even if the lead investor is based overseas.

FAQ

What does CAM Assist do in plain terms?

It uses AI to write the machining program – the strategy and toolpaths – that a CNC machine needs to cut a part. That job is normally done by hand by a skilled programmer. CAM Assist drafts it quickly so a person can check and adjust it.

How much did CloudNC raise?

UK trade press reported the round as £15 million; one outlet expressed the same round as around $20 million. The lead investor is Nimble Ventures, with Calculus Venture Capital, Entrepreneur First and Lockheed Martin's LM Ventures also taking part. The exact figure should be confirmed against CloudNC's own announcement.

Is this replacing skilled machinists?

Not on the company's framing. It targets the programming and, soon, the quoting steps, and keeps a human operator in the loop to review the AI's output. The stated aim is to help shops do more with the staff and machines they have, against a shortage of experienced programmers.

Is CloudNC a British company?

Yes. It is described as London-based, and its CEO and co-founder is Theo Saville. The lead investor in this round, however, is American, and the company is pursuing a US cloud-security certification to serve sensitive American workloads.

The takeaway

CloudNC is a useful reminder that a lot of the most concrete AI progress is happening away from chatbots, on factory floors, aimed at specific bottlenecks like programming a cutting machine. The raise is real and the backers are credible. The caveats are the ordinary ones: the impressive numbers come from the company, the strategic "reshoring" story comes from investors with their own reasons to tell it, and the newest product is still a promise. For a British AI firm scaling a genuinely industrial tool, that is a reasonable place to be – worth watching, worth checking the claims.