While factories are closing and tens of thousands of jobs are being lost in Europe, highly automated "dark factories" are emerging in China. These are factories so automated that they no longer require light and operate almost entirely without human intervention. Europe's production lines are based on historically developed control systems from various manufacturers, which are now rarely understood holistically. The difference lies less in the hardware than in the software.
And that's exactly where it starts. Linexa Instead of relying on traditional data sources like sensors or ERP systems, the startup directly analyzes the control code at the machine level and transforms it into a unified data model. This approach enables, for the first time, a complete, cross-system understanding of complex production facilities.
Funding round with prominent industry investors
The pre-seed round is led by Project A. Angel investors include Thomas Böck (CEO of Festo) and Bastian Nominacher (co-founder). Celonis) and Christian Schlögel (former CTO/CDO of Kuka & Körber). The new capital will primarily be used to expand the platform and build the team.
Florian Heinemann, General Partner at Project A, classifies the investment as follows:
"European manufacturing is our economic foundation. With Linexa, shop floor modernization is achieved quickly enough to keep pace with global competition."
Why traditional digitization solutions often fail
Many existing solutions focus on business processes (ERP, MES) or sensor data. This means that individual machines and sub-processes are monitored, rather than capturing the actual logic of production.
Linexa demonstrates that there's another way. The startup analyzes the control logic directly at the machine level, standardizes data across manufacturers, and builds a complete digital twin of production. Based on this, AI agents are deployed to continuously monitor and optimize processes. The result is that companies can identify risks early on. Adjustments can be implemented safely, and their production processes can be managed more efficiently overall.
Practical example: Faster retooling of production lines
A specific use case demonstrates the operational added value. Consider, for example, a cosmetics manufacturer who wants to convert their filling line from liquid soap to hand cream. Linexa analyzes the entire control logic of the line, identifies potential risks in advance, and thereby significantly reduces the changeover time.
Such adjustments are highly critical in practice. According to the company, production downtime can cost up to €2 million (US$2.3 million) per hour. Consequently, the principle of "never change a running system" still applies in many factories – an obstacle to innovation that Linexa is specifically addressing.
Initial industrial customers and scaling potential
The platform is already being used by one of Germany's largest food manufacturers. The aim is to drive the restructuring of production networks and further digitalization initiatives.
This allows Linexa to position itself early in a market with high scaling potential. Existing industrial plants (brownfield digitalization), which make up a large part of the European manufacturing landscape, can thus be modernized.
Key technology for Europe's industrial competitiveness
The technology's approach is not solely focused on the profit of an individual. According to Linexa co-founder Viktor Stryczek The competitiveness of Europe as a whole is at stake:
“Every production site that closes in Europe weakens our economic independence. Linexa gives companies back control over their facilities.”
Focusing on existing infrastructure rather than new construction could prove to be a decisive advantage over global competitors. This is particularly important in Europe due to high investment costs and regulatory hurdles.
