Swedish machine fitness tracker IPercept raises $16.5M
Tech.eu John Reynolds
Swedish startup IPercept raised $16.5M to track CNC machine wear. It turns tiny machine motion into maintenance alerts, without tapping the controller or IT network.
Based on reporting by Tech.eu, John Reynolds — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
IPercept, a Stockholm startup focused on CNC machine health, has raised $16.5 million in Series A funding. The round was co-led by Isogon Ventures and London-based 2150, with support from existing backers Luminar Ventures, RunwayFBU, J12 Venture and AI.Fund.
The company’s pitch is simple enough to say and tricky enough to build: listen to what a machine is doing, then tell manufacturers what will fail before it stops production. IPercept says a single device mounted on the moving part of a CNC machine can turn micrometre-scale motion into usable data. Crucially, it does that without connecting to the machine controller or the customer’s IT network.
That setup feeds an AI assistant that reports on wear, faults and degradation. The point is not a glossy dashboard. It is the less glamorous thing factories actually pay for: knowing which components are wearing, how quickly that’s happening, and what action to take before the line goes down.
The company plans to use the money to launch in the US, hire locally there for the first time, and keep improving the product. Its technology is already in use at Airbus, Bosch and Volvo. IPercept began commercialisation in 2022 after spinning out of KTH Royal Institute of Technology, and founder and CEO Karoly Szipka is selling it as a way to make the most important machine in the physical world legible to software and AI.
My take — AI-written commentary, not fact-checked reporting
This is the kind of industrial AI that deserves attention because it touches real machines, not slide decks. The no-network setup is the smart part: factories hate extra risk almost as much as they hate downtime. There’s plenty of hype around “AI for manufacturing”; most of it still smells like software looking for a factory to haunt.
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