The Stockholm-based company plans to deploy fresh capital toward establishing operations in the United States, recruiting its initial team on the ground there, and advancing its core technology platform. The round totaled $16.5 million and drew co-leadership from early-stage investor Isogon Ventures alongside London-based VC firm 2150. Participation also came from prior backers Luminar Ventures, RunwayFBU, J12 Venture and AI.Fund.
How the technology works
IPercept specializes in predictive maintenance systems designed for CNC machines. The company's AI-driven assistant delivers real-time analysis of machine degradation, wear patterns and potential failures.
The platform operates by measuring a machine's motion at micrometer precision. A single IPercept sensor affixed to the moving component of a CNC machine translates these minute movements into actionable data. Notably, the system functions independently—it requires neither integration with the machine controller nor access to the customer's IT infrastructure.
Factory operators gain visibility into component wear rates and receive precise guidance on maintenance timing, allowing them to prevent unplanned production halts before they occur.
From research to production
IPercept emerged from KTH Royal Institute of Technology, Sweden's premier technical university, launching commercial operations in 2022. The company's current customer base includes Airbus, Bosch and Volvo.
Founder and CEO Karoly Szipka commented on the company's mission: "CNC machine tools make every other machine on Earth, and until now almost nobody could see inside them while they run. The question we set out to answer was how to make the most important machine in the physical world legible to software and AI. That took a new measurement principle, five years of research, and four years of real-world data. We are ready to bring it to every factory that needs it."
Source: Tech.eu
