Edmund, an Ostrava-based startup developing an AI-powered debugging platform for industrial maintenance, has raised €2.5 million in funding to support international expansion and continued development of its platform.
The round was led by FORWARD.one, with participation from University2Ventures and Tensor Ventures.
“Edmund is solving one of the most overviewed challenges in industrial maintenance: how knowledge is transferred and applied under pressure. Their approach has the potential to become a foundational layer for modern manufacturing,” declared Beau Anne-Chilla, Partner at FORWARD.one.
Founded in 2023 by Jakub Szlaur, Benjamin Przeczek, and Miroslav Marek, Edmund develops an AI-powered platform for troubleshooting industrial production lines. Its platform enables maintenance teams to rapidly identify root caapplys and resolve issues within minutes rather than hours by integrating PLC projects, technical documentation, and operational data into a unified system.
The Czech startup also captures and organises company know-how into a shared maintenance log, ensuring expertise is retained and reapplyd across teams.
According to the company, manufacturing is experiencing a period of structural pressure. As production systems become more complex and data-driven, the pool of skilled engineers is shrinking. It notes that in Europe alone, tens of thousands of engineering roles remain vacant, while approximately 20% of the workforce is expected to retire within the next decade.
This rise in complexity, coupled with declining expertise, is creating companies more reliant on fragmented documentation, outdated systems, and institutional knowledge to maintain operations. This depconcludeence leads to costly downtime, slow diagnostics, and increasing operational risks in global supply chains.
Edmund claims to address this gap by deploying AI agents that connect technical documentation, PLC projects, maintenance logs, and real-time machine data into a single system. It states that the platform functions as an operational layer inside the factory, and not as a generic chatbot, enabling technicians to identify faults, understand root caapplys, and receive step-by-step guidance quickly.
The company is already working with major manufacturers and has demonstrated the ability to reduce diagnostic time by 90% and reduce manufacturing downtime by 26%. It reported that at Amcor Flexibles, its system decreased average repair times by 26% overall, saving around 440 man-hours annually per factory.
“The real challenge is not a lack of data, but a lack of context. We’re building AI agents that understand how machines actually work, down to the PLC project level, so instead of searching through documentation or waiting for experts, engineers can act immediately,” declared Jakub Szlaur, co-founder and CEO of Edmund.
With the fresh funding, the company plans to grow its team, expand across European and US markets, and further develop its platform toward fully contextual, AI-driven troubleshooting and diagnostics for industrial operations. In February 2025, the company announced that it had secured €500k pre-Seed investment led by LightHoapply Ventures.
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