Stockholm-based IPercept has reportedly raised $16.5 million in a Series A to scale its CNC-machine diagnostics business. Isogon Ventures and 2150 co-led the round, with Luminar Ventures, RunwayFBU, J12 Ventures and AI.FUND also participating, according to Tech Funding News.
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The company’s approach centers on measuring what a machine does rather than pulling information from its controller. That could make condition monitoring possible without a controller integration or a separate factory IT project.
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Who backed IPercept’s Series A?
Tech Funding News reports that Isogon Ventures and 2150 jointly led the $16.5 million financing. The report lists Luminar Ventures, RunwayFBU, J12 Ventures and AI.FUND as participating investors.
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IPercept grew out of research at Stockholm’s KTH Royal Institute of Technology and began commercializing its technology in 2021.
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How does IPercept monitor CNC machines?
IPercept places a sensor device on the machine’s moving side, along its kinematic chain. The device collects motion and vibration data, which the company’s software uses to identify developing faults in components such as axes, spindles and joints.
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Rather than relying on data from a CNC controller, the system analyzes these physical signals. IPercept describes its setup as requiring no controller integration and no IT project.
10 The available descriptions explain the sensor inputs and the kinds of components monitored, but do not detail the software’s diagnostic algorithms.
What is known about US expansion?
The funding report describes the round as supporting IPercept’s scale-up, but the available information does not specify exactly how the Series A proceeds will be allocated.
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Separately, a project with Quant USA is intended to adapt and validate IPercept’s platform for the US CNC market. That is evidence of work toward US market entry, but it should not be confused with a confirmed use of the Series A funds.
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Which manufacturers use the technology?
Tech Funding News reports that IPercept works with more than 30 customers, including Airbus, Bosch, Hitachi Energy, Scania and Volvo.
6 These examples indicate industrial interest in the platform; they do not, on their own, establish its results or performance at each customer.