IPercept 完成 1650 万美元 A 轮融资，将机床状态监测推向美国市场
IPercept raises $16.5m to bring condition monitoring to CNC machine tools
瑞典斯德哥尔摩的 IPercept 完成 1650 万美元 A 轮融资，用于把其数控机床监测技术扩展到美国市场。本轮由 Isogon Ventures 和 2150 联合领投，现有投资方 Luminar Ventures、RunwayFBU、J12 Ventures 和 AI 基金也参与。IPercept 是瑞典皇家理工学院（KTH）的衍生公司，2022 年开始将技术商业化。 该系统基于一个安装在数控机床运动部件上的专利装置，采集微米级运动并转换为部件级状态数据，显示哪些零件在磨损、磨损速度以及生产停机前需要做什么。公司称其适用于任何品牌、型号和使用年限的机床，且无需连接机床数控系统或客户的 IT 网络。IPercept 表示，该技术针对的是机床观测上的空白：数控系统只发出运动指令而不测量机械状态，传统振动传感器则是为泵和电机设计，而非为多部件相互作用的机床设计。公司称，没有该方案时，弄清一台机床为何故障可能需要两天人工排查，而机床平均效率几十年来一直停留在 50–60%。 据公司介绍，该装置已在 30 多家制造商投入使用，包括 Airbus、Bosch、Hitachi Energy、Scania 和 Volvo；Konecranes、Quant、DynaMate 和 MTT 等工业服务商将其作为自身监测服务的基础。
The Swedish spin-out’s plug-and-play device reads a machine’s own motion to report the wear of individual components on CNC machines of any brand, model or age
Stockholm-based IPercept has closed a $16.5m Series A round to expand its CNC machine monitoring technology into the US. The round was co-led by Isogon Ventures and 2150, with existing investors Luminar Ventures, RunwayFBU, J12 Ventures and AI. The fund also took part.
A spin-out from the KTH Royal Institute of Technology, IPercept began commercialising its technology in 2022. The system is based on a single patented device mounted on the moving part of a CNC machine. It picks up micrometre-scale motion and converts it into component-level condition data, showing which parts are wearing, how quickly, and what needs to be done before production stops. According to the company, it works on machines of any brand, model or age, and needs no connection to the machine controller or the customer’s IT network.
IPercept says the technology addresses a gap in how machine tools are observed: the controller commands motion but does not measure mechanical condition, while conventional vibration sensors were designed for pumps and motors rather than for machines with many interacting components. The company claims that without its solution it can take two days of manual work to understand why a single machine failed, and that average machine efficiency has stayed at 50–60% for decades.
The devices are already live at more than 30 manufacturers, including Airbus, Bosch, Hitachi Energy, Scania and Volvo, the company reports. Industrial service providers such as Konecranes, Quant, DynaMate and MTT use the technology as the basis for their own monitoring services. IPercept points to reducing unplanned downtime and improving overall equipment effectiveness (OEE) as the main benefits.
The new funding will be used to launch and scale operations in the US, including the first dedicated local hires, and to extend the company’s data platform with add-on intelligence applications.
«CNC machine tools make every other machine on Earth, and until now almost nobody could see inside them while they run», said IPercept founder and CEO Karoly Szipka. He added that the technology required a new measurement principle, five years of research and four years of real-world data.
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