π― Founders: Jakub Szlaur (co-founder & CEO), Miroslav Marek (co-founder & CSO)
π Founding year: 2023
π Industry: Industrial AI / Manufacturing
π₯ Problem: Manufacturers face increasing system complexity while skilled engineers are becoming scarce. Knowledge is fragmented across documentation, legacy systems, and human expertise, leading to slow diagnostics, costly downtime, and operational risk.
π£ Solution: An AI-powered debugging platform that integrates technical documentation, PLC projects, maintenance logs, and real-time machine data into a single system. It enables technicians to quickly identify faults, understand root causes, and receive step-by-step repair guidance.
π₯ Customers: Industrial manufacturers (e.g., Amcor Flexibles)
π± Stage: Early-stage (post-seed / early growth)
π° Investment amount: β¬2.5 million
π Funded by: FORWARD.one (lead), University2Ventures, Tensor Ventures
ποΈβπ¨οΈ Investorβs perspective: βEdmund is solving one of the most overlooked challenges in industrial maintenance: how knowledge is transferred and applied under pressure,β said Beau Anne-Chilla, Partner at FORWARD.one. βTheir approach has the potential to become a foundational layer for modern manufacturing.β
π‘ It will be spent on: International expansion (Europe and US), team growth, and further development of its AI-driven troubleshooting platform
π¬ In their own words:
βThe real challenge is not a lack of data, but a lack of context. Weβre building AI agents that understand how machines actually workβ¦ so engineers can act immediately.β β Jakub Szlaur
πͺ Their specialty: AI-driven troubleshooting that understands industrial systems at the PLC level and reduces diagnostic time by up to 90%
π Business model:
B2B SaaS platform for industrial maintenance and operations
π©βπ« Market: Global manufacturing sector facing labor shortages, increasing automation complexity, and rising costs of downtime (~$1.4 trillion annually)
π Traction:
- Reduced repair times by 26% at Amcor Flexibles
- Saves ~440 man-hours annually per factory
- Cuts troubleshooting time from hours/days to minutes
πΈ Funding so far: β¬3.15 million