Industrial companies have spent years investing in sensors, monitoring systems, and connected equipment to gain deeper visibility into their operations. Modern factories and production facilities generate vast amounts of machine data every second, providing valuable insights into equipment health and performance. Yet despite this abundance of information, many organisations continue to struggle with one critical challenge, turning data into action. A shortage of experienced reliability and maintenance specialists often means that important warnings are missed, analysed too slowly, or buried among thousands of alerts. Finnish startup Rotomate believes artificial intelligence can bridge this gap, and the company has now secured fresh funding to accelerate its growth.
The company has raised €2.1 million in pre seed funding in a round led by Kvanted. Additional participation came from Robin Capital, Angel Invest, Accel through its scout programme, and Business Finland through an AI development grant. The round also attracted support from several angel investors, including Moaffak Ahmed.
The investment will support product development, international expansion, and the growth of the company’s engineering, product, and commercial teams.
Tackling a Growing Industrial Challenge
Founded in 2024 by Mikko Kuusisto and Dr Jesse Miettinen, Rotomate focuses on helping industrial organisations improve equipment reliability and reduce costly unplanned downtime.
Across industries such as manufacturing, energy, and heavy industry, companies increasingly rely on condition monitoring systems that continuously track equipment performance.
While these technologies generate valuable information, maintenance teams often face difficulties interpreting the sheer volume of data produced.
The challenge is not necessarily a lack of information but rather the limited availability of experts capable of analysing data around the clock and determining which issues require immediate attention.
As industrial facilities become more complex, this expertise gap continues to widen.
Building an AI Reliability Assistant
Rotomate has developed a platform designed to function as an AI powered reliability assistant.
Instead of simply monitoring equipment and generating alerts, the system continuously analyses machine data alongside operational information, maintenance records, and historical performance trends.
This broader understanding allows the platform to provide context around potential issues rather than simply notifying teams that something may be wrong.
The goal is to help maintenance professionals make faster and better informed decisions while reducing the burden of manually reviewing large volumes of operational data.
By combining multiple sources of information, the platform creates a more complete picture of equipment health and performance.
Moving Beyond Traditional Monitoring
Many existing industrial monitoring systems focus primarily on detecting anomalies and generating alerts.
While useful, these alerts often require experienced engineers to investigate the underlying cause and determine the appropriate response.
Rotomate aims to go further by automating much of this analytical work.
The platform provides root cause analysis, identifies likely explanations for equipment behaviour, and recommends actions that maintenance teams can take to prevent failures or resolve issues.
This approach enables organisations to benefit from expert level insights even when specialist resources are limited.
The company believes this capability can significantly improve operational efficiency while helping industrial facilities avoid costly downtime.
Scaling Expertise Across Industrial Assets
One of Rotomate’s core objectives is to make reliability expertise available across a much larger number of assets than would be possible through human monitoring alone.
Traditionally, specialists can only focus on a limited number of machines and systems at any given time.
By automating analysis and decision support, the company aims to extend expert level monitoring across entire facilities and operations.
This not only reduces the time spent reviewing routine alerts but also allows maintenance teams to concentrate on higher value activities and critical issues.
As industries continue to digitise their operations, demand for this type of intelligent support is expected to increase significantly.
Supporting Future Growth
The newly secured funding will play a key role in advancing Rotomate’s technology and expanding its market presence.
The company plans to continue enhancing its platform while accelerating international growth efforts.
Additional investment will also support hiring across engineering, product development, and commercial functions as customer demand grows.
With industrial organisations increasingly seeking ways to improve reliability, reduce downtime, and maximise the value of operational data, Rotomate is positioning itself as a provider of AI driven decision support for modern industry. By transforming raw machine data into actionable expertise, the company aims to help maintenance teams operate more efficiently and keep critical equipment running at peak performance.