Forge Robotics
Fall 2025ActiveA robotics intelligence system for metal fabrication
Pressure-test this opportunity
Turn this teardown into a decision-ready prompt for ChatGPT, Claude, or your agent.
A robotics intelligence system for metal fabrication
Turn this teardown into a decision-ready prompt for ChatGPT, Claude, or your agent.
If you only have a few minutes to spare, here’s what investors, operators, and founders should know about Forge Robotics (F25).
Forge Robotics was a Galway, Ireland-born startup that entered Y Combinator's Fall 2025 batch with an ambitious thesis: build an AI intelligence layer that gives industrial welding robots the adaptability of a human welder. Founded by two University of Galway engineers — Eoin Cobbe (21) and Robert Cormican (22) — the company claimed its full-stack, AI-native welding system could achieve 99% first-pass yield, eliminate expensive reprogramming costs, and save fabricators up to €300K over five years per unit.[1][2][8]
The company's failure thesis is twofold. First, Forge attempted to sell a full-stack autonomous welding system to risk-averse manufacturers in aerospace, ag-tech, and structural steel — segments notorious for long sales cycles, certification requirements, and a deep distrust of AI black boxes in safety-critical processes. Second, and more tellingly, the company appears to have pivoted its business model from product sales to contract manufacturing for aerospace and hardware startups, a move that dilutes focus and signals difficulty selling the product outright.[24]
The company remains technically active and pre-product-launch as of this writing, with a planned first product launch in July 2026. But the signals — a founder-listing discrepancy on YC's own page, a pivot to services, and zero public traction data — paint a picture of a startup struggling to convert a compelling narrative into commercial reality.[12][19]
Forge Robotics emerged from an unusual pairing of complementary engineering backgrounds. Eoin Cobbe studied mechanical engineering at the University of Galway, worked in steel fabrication and robotics, and had previously run a €100,000-a-year manufacturing business — hands-on experience with the exact pain point Forge aimed to solve.[7] Robert Cormican brought the AI and electronics side: a background in silicon development at Analog Devices, self-driving car technology at Valeo, and published research in AI and image quality in the IEEE Open Journal of Vehicular Technology.[6]
The founders' youth was a defining feature of their story. At 21 and 22, they were among the youngest founders in their YC batch, and their response to acceptance was characteristically impulsive. Eoin Cobbe told Silicon Republic: "When we got the news on Thursday, we knew we just had to go. Robert quit his job, I deferred my degree, and by Saturday, we were on a flight to San Francisco."[4]
The founding narrative was anchored in a documented crisis: a severe welding labor shortage. With 400,000 unfilled welding positions in the U.S. expected to rise to 600,000 by 2030, the founders saw an opportunity to replace scarce human welders with AI-driven automation.[9] Cobbe's framing was direct: "When a factory buys a robot, the cost of setting up the robot and keeping the robot running is more than the cost of the robot. Forge Robotics eliminates months of expensive engineering hours, changing the game for factories."[5]
The path to YC ran through PorterShed's AI Venture Forge accelerator, a 12-week program funded through the NDRC Realisation Fund that provided access to advanced computing resources via the Irish Centre for High-End Computing (ICHEC).[11][26] The program's goal was a clear go-to-market path with at least two committed pilot customers — a target that, based on available evidence, was never publicly met.[29]
The product vision evolved significantly during this period. What began as an AI intelligence layer for welding robots — a software overlay that could be retrofitted onto existing industrial cells — became a full-stack, AI-native welding system built from off-the-shelf hardware with proprietary perception and motion intelligence.[13] This pivot from software to hardware-plus-software dramatically increased complexity, cost, and time-to-market.
Read the complete post-mortem, the rebuild playbook, and the exact reasons Forge Robotics is still worth studying now.