European Startups Draw Fresh Funding Across AI, Cybersecurity and Machining

London-based CloudNC, which develops AI software for precision machining, raised €17.2 million (about $20 million), EU-Startups reported. The round was led by US investor Nimble Ventures, with participation from Calculus Venture Capital, Entrepreneur First and LM Ventures, the venture fund of Lockheed Martin. Founded in 2015, CloudNC makes CAM Assist, a product that uses AI to cut the time needed to create CNC machining strategies and toolpaths. According to EU-Startups, CEO and co-founder Theo Saville said the investment lets the company stay focused on making CAM Assist more effective, expanding into more markets and developing new AI products for machining workflows. The company said the funding comes as it moves from early adoption toward broader commercial scale.

Actionable raises $10M in Paris

Paris-based AI startup Actionable secured $10 million in an early-stage round co-led by Hi Inov and Axeleo Capital, Ventureburn reported. The company said the capital targets direct sales expansion into the US market and additional hiring of researchers and data scientists. The round follows a $2.2 million pre-seed raise in 2024. Actionable maps raw CRM and CDP data into a common industry model to predict customer churn, applying a semantic layer to provide context for sectors such as finance, energy and transit. Ventureburn reported that co-founder and co-CEO Nicolas Rieul argues standard large language models struggle with raw data and can produce hallucinations. The company said no client-specific data is pooled or shared across accounts. Ventureburn cited European railway operator Ouigo, which had a 5% response rate on satisfaction surveys, as a case where Actionable identified a 13-minute wait as a primary friction point.

OdorPi raises £700K in London

London-based deeptech startup OdorPi, now operating as Anemo Labs, secured £700,000 in pre-seed funding to commercialise technology aimed at giving AI a sense of smell, Ventureburn reported. The round was co-led by Zinc and SFC Capital, with additional support from Innovate UK. Founded in 2025 by Koye Sodipo, the company is building an electronic nose that pairs sensor hardware with machine learning to detect and classify volatile organic compounds. By analysing these compounds in urine, it aims to spot signs of disease before symptoms appear. The startup has built an in-house sampling platform able to collect and label up to 5,000 smells per day, and reported an 84.15% accuracy rate in classifying 12 scent categories in initial testing using the Sniffin' Sticks protocol. The company plans to use the funding to advance its sensor chemistry and expand its data collection, with potential future applications targeting urinary tract infections and certain cancers.