Finnish industrial AI startup Rotomate has raised €2.1 million to expand a platform that reads machine data and recommends maintenance actions as a high-level reliability engineer.
He led the tour in Helsinki QuantifiedRobin Capital, Angel Invest, Accel’s scout program and Business Finland are also participating. Angel investors Jiri Heinonen and Moaffak Ahmed joined.
Founded in 2024 by Mikko Kuusisto and Dr. Jesse Miettinen. Rotomat trying to close the widening gap in heavy industry. Plants have spent years installing sensors and condition monitoring systems. The supply of specialists who could read the resulting data did not continue.
The result, the company says, is focused fatigue. Maintenance teams can’t always tell which alerts need to be acted upon now and which can wait.
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Rotomate’s pitch is that it doesn’t add another thrill. The platform analyzes machine and operational data along with maintenance logs, then returns root cause analysis and suggested action.
“Improving industrial reliability is often limited not by a lack of data, but by the limited ability of professionals to continuously analyze and act upon it” co-founder and CEO Mikko Kuusisto said. “We built Rotomate to extend this experience so that every plant can operate around the clock with the most up-to-date information.”
This framework puts Rotomate among a wider crop of European deep-tech startups selling automated judgment rather than raw monitoring. reflects the pattern behind the recent rounds as ASML spinout Invisixraised 20 million euros to test the chips and Apohaemerged from stealth to teach machines how matter behaves.
Co-founder and chief technology officer Dr Jesse Miettinen said the goal was to migrate legacy systems that only flagged problems. The company wants its software to replicate expert decision-making at scale, he said.
Customers and the claims behind them
Rotomate says it already works with process industry firms including Metsä Group, SSAB and Aurubis, whose customers’ sites together generate more than €35 billion in annual production. Both figures were disclosed by the company and have not been independently verified.
The company also says its platform can reduce the time teams spend on manual monitoring while extending expert-level analysis across more assets. He has not published data to support this claim.
Rotomate pre-seed funding: where the money goes
The new capital will fund product development and international expansion, with planned hiring in engineering, product and commercial roles. The pitch is falling as businesses wary of AI tools that promise savings but bring new costs. debates on enterprise AI bills.
For now, Rotomate is early. The round is pre-seeded, the customer measurements come from the company, and the more difficult question is whether the software can stand up to the engineer’s judgment when the factory decides what to fix and what to leave running. This is the test that the next 12 months will set.
