Innovative AI startup aiomatic shapes the future of predictive maintenance with strategic investment

In the fast-paced industrial tech landscape, aiomatic is setting new standards for smarter, more efficient maintenance solutions.

By harnessing AI-driven predictive analytics, the startup helps companies cut downtime and optimise operations. With rapid deployment across diverse machine types and industries, aiomatic has captured the attention of major clients like SEFE Storage GmbH and PHW Group. Backed by a €2 million investment from diverse investors including EIT Manufacturing, the company is on its way to rapid growth, looking to expand across Europe and beyond.

Read more below as co-founders Lena Weirauch (CEO) and Felix Kraft (CFO) talk about their journey, challenges, and ambitions to make their solution the global standard for predictive maintenance.

The technology behind aiomatic

At the core of aiomatic’s success is their unique digital maintenance assistant. This software-as-a-service (SaaS) platform is designed to prevent unplanned production downtimes, which are a major source of inefficiency and cost for large manufacturing companies. Their technology uses predictive maintenance to monitor machinery, enabling companies to foresee equipment issues before they result in failures. This proactive approach saves both time and money, enhancing efficiency and extending machinery lifespans.

The software integrates seamlessly with a variety of machine types, which is a key differentiator in the market. Traditional solutions often require lengthy installation and customisation periods, while aiomatic’s system can be deployed eight times faster than most other predictive maintenance technologies. This quick integration, coupled with scalability, allows businesses across multiple industries — automotive, packaging, and critical infrastructure — to deploy the software rapidly, regardless of their machinery complexity. According to co-founder Lena Weirauch, this scalability makes their product unique: “We can scale very easily because we don’t need to adjust the software for a very long time on different machines.” 

The dramatic reduction of downtime and maintenance costs stand out as the major benefits for clients. Aiomatic’s predictive AI platform constantly analyses data from machinery, identifying patterns and potential issues before they escalate. This is crucial for industries where unplanned downtime can lead to massive financial losses, especially in sectors where a single machine failure can cost millions of euros.

Their adaptable technology supports a wide range of industries and applications, from simple motor monitoring to managing complex robotic systems and tooling machines. Lena highlights the broad applicability of their technology: “We currently serve around 15 to 20 customers across different sectors, and the common thread is the significant cost savings and efficiency gains they experience.” Aiomatic has been able to attract a diverse client base, including prominent companies such as SEFE Storage GmbH, PHW Group, and Nitto, among others. With a number of renowned clients already on board, the startup has proven its capability to deliver substantial value in diverse industrial settings, leading to a significant investment.