When we tell people we're building agentic AI for automotive manufacturing and starting in Malaysia, the most common follow-up is some version of: 'why not the US? Why not Germany? Why not Japan?'
Three reasons, in order of importance
- The plants are close enough to walk into. The first pilots run on factories we can drive to in a morning. The first product decisions get made with the engineers who actually run the line. You cannot build a decision layer for manufacturing if you cannot stand on the floor.
- The MES penetration is high enough. Tier-1 and Tier-2 plants in Malaysia have already paid for the data infrastructure that Foreman sits on top of. We are not selling shovels to a green field; we are selling the next layer to plants that already invested.
- The engineering bar is the same as anywhere. The engineers we work with are sharp, opinionated, and skeptical of AI marketing. They make us a better product. Selling 'almost works' to a Bay Area pilot customer gets you a polite cancellation. Selling 'almost works' to a Malaysian plant director gets you a short, direct conversation and a much faster product.
What we believe this lets us build
A decision layer that survives contact with a real plant. A product whose first version is not a demo but a working agent running on Monday-morning shift data. A company whose customer success motion is 'come to the standup' rather than 'log a ticket.' And when we expand, a product that already proved itself in conditions tougher than the ones we'll face elsewhere.