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ir@forward.oneEdmund has raised €2.5 million in funding led by FORWARD.one, together with University2Ventures and Tensor Ventures.
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The funding will support the company’s expansion across Europe and the US and accelerate development of its platform, which reduces downtime and embeds operational knowledge directly into factory workflows.
Manufacturing is entering a period of structural strain. Systems are becoming more complex as factories shift from primarily mechanical machines to electronically controlled, software-driven environments, generating vast amounts of data. At the same time, the availability of experienced engineers continues to shrink. Across Europe alone, tens of thousands of engineering roles remain unfilled, and roughly 20% of the current workforce is expected to retire within the next decade. As factories digitize, this widening gap between data abundance and human expertise is reshaping how industrial operations are run and how automation evolves. Edmund is solving exactly this problem.
Founded: 2023
Headquarters: Prague, Czech Republic
Founders: Jakub Szlaur, Benjamin Przeczek, Miroslav Marek
Stage: Early-stage
Industry: Industrial AI - Factory Automation - Manufacturing Software
FORWARD.one entry: Seed
Product: AI-powered troubleshooting platform integrating PLCs, documentation, and real-time machine data
Edmund operates at the intersection of industrial automation and applied AI, focused on execution inside real factory environments.
Integrating AI into manufacturing is about amplifying the effectiveness of engineers. In industrial contexts, AI thrives when it can learn from structured machine data and unstructured operational knowledge, turning previously isolated information into actionable insights. It works because industrial environments generate rich, repeatable patterns: temperature readings, vibration signals, PLC logic, and maintenance logs. Machine learning models can interpret those patterns faster and more consistently than humans under pressure.
The value emerges when AI systems become context-aware: able to reason about a specific line, fault history, or configuration, instead of serving as a generalized analytics layer. Edmunds' product therefore leads to fewer stoppages, faster diagnosis, and knowledge capture that persists beyond a single team or shift. The upside is clear: higher uptime, faster scaling, and workforce resilience. The risk lies in poor integration: systems that rely on incomplete data or black-box logic can erode trust and slow adoption. The frontier in industrial AI, and Edmund’s strength, lies in blending explainability and real-world usability.
At FORWARD.one, we approach AI with conviction and discipline. We don’t invest in hype rounds. We invest where AI drives measurable productivity in real industries. Edmund reflects that approach, applying AI to solve concrete challenges in manufacturing and automation.
Read more: The AI Surge Is Inevitable. The Discipline To Invest Well Isn’t.
The problem in manufacturing is the inability to act on data under pressure. Edmund connects fragmented sources such as PLC projects, technical documentation, maintenance logs, and live machine data into a single operational layer. This allows engineers to identify faults, understand root causes, and resolve issues within minutes rather than hours.
“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. Instead of searching through documentation or waiting for experts, engineers can act immediately.”
- Jakub Szlaur, co-founder and CEO of Edmund.
Downtime is expensive, and diagnosis is where most of that cost sits. Up to 80% of downtime is spent identifying the root cause rather than fixing it. Edmund reduces this analysis phase by up to 90%, significantly accelerating recovery.
In practice, this approach significantly reduces the time required to diagnose issues, cutting troubleshooting from hours or days to minutes. In manufacturing, the majority of downtime is spent diagnosing faults rather than fixing them, often up to 80% of the total time. Edmund cuts this analysis phase by up to 90%, dramatically reducing overall downtime and accelerating recovery. At Amcor Flexibles, for example, Edmund’s system reduced average repair times by 26% in total, saving approximately 440 man-hours annually, per factory.
“Edmund is solving one of the most overlooked 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.”
- Beau Anne-Chilla, Partner at FORWARD.one.
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Industrial technology often falls into the “pilot trap”: promising proof-of-concepts that never reach the factory floor. Edmund is showing early signs of breaking that pattern. Within its first year, the company advanced from prototype to active deployments with leading industrial customers, including in automotive.
Their progress comes down to deep domain expertise and a disciplined, customer-centered approach. Rather than overengineering the platform, the founders co-developed it directly with their first users, ensuring it solved real pain points from day one. That focus on practicality has led to an exceptionally tight product-market fit at an early stage. The result is a platform built for real operational environments: fast iteration, measurable gains, and early traction that validates the direction.
Edmund embodies FORWARD.one’s thesis for Fund III: industrial AI will redefine performance by connecting technical depth with scalable adoption. As experienced technicians retire, critical know-how risks disappearing. Solutions like Edmund’s retain that expertise and turn it into actionable intelligence embedded in daily operations.
What stands out to us is not only technical sophistication but pace of execution. Edmund has moved quickly from product development to commercial pilots, building momentum with paying customers and tangible performance improvements. That ability to translate engineering capability into market traction is what drives our conviction.
The combination of strong technical foundations, early commercial validation, and rapid iteration is exactly what we look for in Fund III.
“After screening the market and speaking with a wide range of manufacturing players, we knew we wanted to back a company already selling into top-tier customers. Edmund stood out, demonstrating remarkable commercial performance within just 12 months.”
- Julia Kuijs, Associate at FORWARD.one
The next phase is scaling what already works. The team will expand across Europe and the US, investing in talent, sales, and deeper integrations within existing customers. Growth will focus on increasing recurring revenue within large industrial groups, a key driver for durable value creation.
Edmund is strongly positioned in Central and Eastern Europe, where a significant share of manufacturing takes place. This proximity to customers provides a strong foundation for expansion.
From there, scaling across broader European and US markets becomes a logical next step.
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