AI agents in manufacturing: reshoring production?
from NEXT with John Koetsier Hosted by John Koetsier
Is AI the secret sauce that lets the West deglobalize supply chains and bring factories back home? In this episode of TechFirst, I talk with Federico Martelli, CEO and cofounder of Forgis, a Swiss startup building an industrial intelligence layer for factories. Forgis runs “digital engineers” — AI agents on the edge — that sit on top of legacy machinery, cut downtime by about 30%, and boost production by roughly 20%, without ripping and replacing old hardware. We dive into how AI agents can turn brainless factory lines into adaptive, self-optimizing systems, and what that means for reshoring production to Europe and North America. In this episode, we cover: • Why intelligence is the next geopolitical frontier • How AI agents can reshore manufacturing without making it more expensive • Turning old, offline machines into data-driven, optimized systems • The two-layer model: integration first, vertical intelligence second • Why most manufacturing AI projects fail at integration, not algorithms • How Forgis raised $4.5M in 36 hours and chose its lead investor • Lean manufacturing 2.0: adding real-time data and AI to Toyota-style processes • Why operators stay in the loop (and why full autonomy is a bad idea… for now) • Rebuilding industrial ecosystems in Europe and North America, industry by industry • What Forgis builds next with its pre-seed round and where industrial AI is headed Guest: 👉 Federico Martelli, CEO & cofounder, Forgis (industrial intelligence for factories) 🔗 More on Forgis: https://forgis.com/ Host: 🎙 John Koetsier, TechFirst podcast 🔎 techfirst.substack.com If you enjoy this conversation, hit subscribe, drop a comment about where you think factories of the future will live, and share this with someone thinking about reshoring or industrial AI. 00:00 – Intro: AI, deglobalization, and the battle for industrial power 01:20 – Why intelligence is the next geopolitical frontier 02:13 – Applying AI agents to legacy machinery (not just new robots) 03:10 – Integration first, intelligence second: the “digital engineers” layer 03:58 – Early results: +20% production, –30% downtime 05:39 – The Palantir-style model: deep factory work, then recurring licenses 06:28 – Raising $4.5M in 36 hours and choosing Redalpine 08:17 – Lean manufacturing, Toyota, and giving operators superpowers (not replacing them) 10:18 – Big picture: reshoring production to Europe, the US, and Canada 12:48 – Competing with China’s dense manufacturing ecosystems 15:29 – What Forgis’ digital engineers actually do on the shop floor 17:06 – How Forgis will use the pre-seed round: sales, product, then tech 18:32 – Flipping the traditional stack: sales → product → tech 19:22 – Wrap-up and what’s next for industrial intelligence
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