Linexa Secures €2 Million for AI in Industrial Production

Linexa, a Munich-based startup, has announced the closure of a €2 million pre-seed funding round. This capital injection, led by Project A with participation from angel investors including Thomas Böck, Bastian Nominacher, and Christian Schlögel, is earmarked to support the development of an innovative platform. Founded in late 2025, Linexa aims to address one of the most pressing challenges for the European manufacturing industry: the modernization of production systems through artificial intelligence.

The European manufacturing sector is facing increasing pressure. While highly automated production models continue to advance globally, many European industrial companies are announcing significant job cuts. Simultaneously, a large number of factories still rely on complex control systems, built over decades and often combining technologies from multiple vendors. This fragmentation limits visibility into production processes and makes system changes extremely difficult, risking costly downtime even for minor adjustments.

Linexa's Solution: AI for Legacy Automation

Linexa seeks to resolve these issues by developing a platform capable of decoding legacy industrial automation systems, regardless of the vendor. This approach enables AI-driven monitoring and optimization of production lines. By making complex systems more transparent and adaptable, the company supports manufacturers in modernizing their operations and improving overall resilience.

Unlike many existing solutions that focus on business processes or sensor data, Linexa's platform operates directly at the level of machine control systems. It translates operational logic into a unified data model, providing manufacturers with a comprehensive view of their production systems and enabling autonomous optimization through AI. This allows, for example, for the analysis of control logic when switching products on a filling line, identifying potential risks before they cause disruptions, and reducing changeover times.

Context and Implications for European Industry

Linexa's emphasis on decoding legacy systems and on-premise optimization resonates with the growing demand for data sovereignty and operational control. For companies operating in regulated sectors or managing sensitive data, keeping AI workloads within their own infrastructural boundaries is a priority. The ability to integrate AI directly into existing control systems, without relying entirely on external cloud solutions, offers a path towards greater autonomy and security.

Viktor Stryczek, co-founder and co-CEO of Linexa, highlighted the strategic importance of this initiative: “Every production site that closes in Germany and Europe, every hidden champion acquired by foreign investors, weakens our economic strength and with it Europe's independence. A strong manufacturing industry is the foundation of our prosperity. Linexa gives manufacturers control over their own operations again and strengthens their competitiveness.” This vision aligns with the need to reinforce local production capabilities and mitigate risks associated with reliance on complex global supply chains.

Future Outlook and the Role of On-Premise AI

With the new funding, Linexa plans to accelerate the development of its technology and expand the support offered to manufacturers. The goal is to help them navigate an increasingly competitive global landscape by providing tools to enhance the efficiency, flexibility, and resilience of their operations. This investment underscores confidence in AI's potential to transform the manufacturing sector, particularly regarding process optimization and the management of complex systems in on-premise environments.

For organizations evaluating the deployment of AI solutions in industrial contexts, Linexa's approach highlights the importance of considering integration with existing infrastructure and the benefits of direct control over data and processes. AI-RADAR, for instance, offers analytical frameworks on /llm-onpremise to evaluate the trade-offs between on-premise deployment and cloud solutions, providing useful tools for strategic decisions in this area.