Manufacturing generates terabytes of data every day—yet most of it goes unused. The real opportunity isn’t more technology, but building a data-driven culture on the shop floor, where insights guide decisions in real time.

I co-founded Acerta in 2017 to help manufacturers move from reactive problem-solving to predictive operations. We’ve built an AI-powered analytics platform for discrete manufacturers, especially in automotive, that improves line performance, reduces the cost of poor quality, and enables better decisions directly at the point of production.

I’m passionate about Industrial AI that works in production environments—AI that scales across plants, integrates with real manufacturing systems, and delivers value to the people running the line. There’s nothing more rewarding than seeing a defect detected before it cascades or a team empowered with insights they can act on immediately.

Along the way, I’ve been honored as a Forbes 30 Under 30 in Manufacturing, an Industry All-Star, and a Canadian to Watch by Automotive News Canada. I also serve on the APMA board, contributing to the future of automotive manufacturing in Canada.

Here, I share what I’m learning as we scale Acerta and deploy LinePulse across the industry—what works, what doesn’t, and what it truly takes to scale AI on the plant floor. Follow along if you are interested.