Karoly Szipka, founder and CEO of IPercept, joins the podcast to share how a research project on machine efficiency became a fast-scaling deeptech company with some of Europe’s largest industrial players as customers. With AI, patented hardware, and a “fitness tracker” for CNC machines, IPercept is redefining predictive maintenance for modern manufacturing.
Born out of KTH and backed by years of R&D, IPercept is a case study in how Swedish academia, industry, and startups can collaborate – and why solving Europe’s industrial skills gap starts with data and smart tools.
✅ How IPercept is creating a new category in predictive maintenance
✅ Lessons from scaling a hardware-based B2B deeptech solution
✅ Why CNC machines deserve more attention than music
✅ How deep partnerships with machine builders drive growth
✅ Why the future of European manufacturing is powered by people – and facts
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