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McKinsey alumni raise $2.5M to build AI for industrial manufacturers

What's the deal? Toronto-based AeriumDealroom has a profile for this one. Try Dealroom → has raised $2.5 million in seed funding to build AI software for industrial manufacturers and distributors. New York's Gutter CapitalDealroom has a profile for this one. Try Dealroom → led the round, which also included undisclosed strategic angel investors and closed in July as a simple agreement for future equity.

Who's behind it? Co-founders Adam Trotman and Michael Dawes are friends and former McKinsey & CompanyDealroom has a profile for this one. Try Dealroom → analysts who worked in the firm's Toronto office building software and agentic AI for industrial clients. They left the consulting giant last year to launch Aerium.

What's the problem? Trotman said industrial firms hold siloed information across spreadsheets, emails, and employees' heads, which stops them from seeing "the full picture" of their business. Aerium's platform integrates into existing systems to gather, clean, and centralise that data, then deploys AI agents and custom machine learning models to monitor operations and automate tasks.

Why now? The goal is not to replace people but to capture institutional knowledge as firms contend with retiring staff and capacity constraints. Aerium is targeting makers of equipment, speciality chemicals, and metal parts, and has already deployed its tech with a handful of customers, including an unnamed global transformer manufacturer.

What's the endgame? Aerium wants to become "the next Siemens of the world," singling out Siemens, Honeywell, and EmersonDealroom has a profile for this one. Try Dealroom → as companies that became "an operating layer" for the sector. "We essentially want to be the next evolution of that," Trotman said.

What's next? The company recently hired its first employee and plans to add a few more forward-deployed engineers before the end of 2026 to help deploy its platform.

The signal: The round sits near the middle of comparable seed deals by size, reflecting steady investor appetite for AI tools that target legacy industrial sectors rather than consumer-facing applications.

Read more: betakit.com

Image credit: Generated with Gemini

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