👯 Founders: Jakub Szlaur (co-founder & CEO), Miroslav Marek (co-founder & CSO)
📅 Founding year: 2023
🏭 Industry: Industrial AI / Manufacturing
💥 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.
📣 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.
👥 Customers: Industrial manufacturers (e.g., Amcor Flexibles)
🌱 Stage: Early-stage (post-seed / early growth)
💰 Investment amount: €2.5 million
🚀 Funded by: FORWARD.one (lead), University2Ventures, Tensor Ventures
👁️🗨️ Investor’s perspective: “Edmund is solving one of the most overlooked challenges in industrial maintenance: how knowledge is transferred and applied under pressure,” said Beau Anne-Chilla, Partner at FORWARD.one. “Their approach has the potential to become a foundational layer for modern manufacturing.”
💡 It will be spent on: International expansion (Europe and US), team growth, and further development of its AI-driven troubleshooting platform
💬 In their own words:
“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… so engineers can act immediately.” — Jakub Szlaur
💪 Their specialty: AI-driven troubleshooting that understands industrial systems at the PLC level and reduces diagnostic time by up to 90%
🔑 Business model:
B2B SaaS platform for industrial maintenance and operations
👩🏫 Market: Global manufacturing sector facing labor shortages, increasing automation complexity, and rising costs of downtime (~$1.4 trillion annually)
📊 Traction:
- Reduced repair times by 26% at Amcor Flexibles
- Saves ~440 man-hours annually per factory
- Cuts troubleshooting time from hours/days to minutes
💸 Funding so far: €3.15 million
