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Adam Trotman

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October 17, 2026
Ai AgentsManufacturingSupply Chain TechSeed FundingAi Automation

Aerium raises $2.5M to build AI workforce for manufacturers

McKinsey alumni raise seed funding to deploy AI agents that automate supply chain, operations, and back-office work for industrial manufacturers and distributors.

Aerium raises $2.5M to build AI workforce for manufacturers

Aerium, a Toronto startup building what it calls an "AI workforce" for industrial manufacturers, raised $2.5 million in seed funding led by Gutter Capital, with participation from undisclosed strategic angel investors. The round actually closed back in July as a SAFE but the company waited until mid-October to announce it, according to BetaKit, which first reported the news.

In Canadian dollars, that works out to roughly $3.6 million. Not a blockbuster sum by venture standards, but enough to signal that someone sees potential in applying AI agents to the decidedly unglamorous work of supply chain coordination and back-office operations in heavy industry.

The pitch is straightforward: Aerium deploys AI agents to handle material market tracking, landed-cost modeling, dynamic scheduling, downtime root-cause analysis, RFQ quoting, and price adjustments pegged to commodity indices. The company says it uses custom-trained small language models alongside open-source LLMs, all running inside customers' existing software environments. That means email, Microsoft Teams, ERPs, and yes, still spreadsheets. Every action leaves an audit trail, a detail that matters in industries where compliance and traceability aren't optional.

What sets Aerium apart, at least in positioning, is its reliance on forward-deployed engineers who embed on-site with customers to integrate the system. The company is actively hiring for these roles, advertising full-time field work across North America. The targets are equipment manufacturers, specialty chemicals shops, metal fabricators, and distributors—sectors not exactly known for cutting-edge software adoption.

Co-founders Adam Trotman and Michael Dawes came out of McKinsey & Company's Toronto office, where they worked on related projects. Trotman studied at Queen's University; Dawes went through the University of Toronto's Rotman Commerce program. They incorporated the business in July under the legal name Senchi Technologies Inc., with a registered address at 125 Blue Jays Way in downtown Toronto.

"Aerium aims to solve 'the coordination and visibility' problem for industrial manufacturers," Trotman told BetaKit, a framing that speaks to the fragmentation and opacity that still plague much of the sector.

Digital illustration for article section "Content Section 2" in "Aerium raises $2.5M to build AI workforce for manufacturers" - A clean, minimalist 3D conceptual rendering symbolizing coordination and clear visibility in industr...

The startup has already deployed its technology with what BetaKit described as "a handful of customers," including an unnamed global transformer manufacturer. On Aerium's website, Michael Ward, president of Ward Industrials, offers a testimonial claiming the platform is "already automating 90 percent of the work we need to do." Whether that holds up at scale remains to be seen.

The seed capital will go toward hiring "a few more forward-deployed engineers before the end of 2026," according to the company. LinkedIn data suggested Aerium had between 11 and 50 employees as of September, though that range is broad and the timing may lag reality by weeks or more.

Aerium's framing as an "AI workforce" puts it in crowded conceptual territory. Magentic raised an $18 million Series A in September to build what it calls "AI digital workers for the physical world." Augury, which focuses on industrial reliability AI, raised $75 million earlier this year at a $1 billion valuation. Cognite, an industrial data platform, has been adding AI-agent capabilities as well. Trotman positioned the company as a successor to older "operating layer" models from Siemens, Honeywell, and Emerson. "We essentially want to be the next evolution of that," he told BetaKit.

Digital illustration for article section "Content Section 3" in "Aerium raises $2.5M to build AI workforce for manufacturers" - A clean, minimalist 3D conceptual illustration representing an "AI workforce" integrating with the p...

Whether industrial buyers will embrace AI agents with the same enthusiasm as their white-collar counterparts is an open question. These are industries where change happens slowly, where trust is earned in years, not quarters. Aerium's bet is that embedding engineers on factory floors and distribution centers, rather than selling software remotely, will overcome that resistance. It's a labor-intensive model, one that doesn't scale with the ease of pure SaaS. But in manufacturing, perhaps that's the point.

Gutter Capital, which led the round, announced a $75 million Fund III in June and makes concentrated, lead seed investments out of New York. Aerium is also a member of AI4Manufacturing Canada and an affiliate of the Canadian Coatings Association, affiliations that suggest the founders are playing the long game on industry credibility.

For now, Aerium remains in the prove-it phase. The seed round gives it runway to validate whether AI agents can genuinely transform the operational backbone of industrial companies or if the friction of on-the-ground implementation will outweigh the promise of automation. The company declined to share revenue figures or customer counts beyond what appeared in its October announcement.

Digital illustration for article section "Content Section 4" in "Aerium raises $2.5M to build AI workforce for manufacturers" - A clean, minimal, and conceptual 3D illustration representing the "prove-it" phase of an AI agent tr...

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