We've been on the floor.

Kinetech has been building custom software since 2014. A decade in, we've shipped hundreds of applications for companies on every rung of the ladder. $10M-a-year non-profits to $6B-a-year global manufacturer. Public sector, life science, finance, construction - you name it, we've done it. We know how to design, build, deliver, and implement software that runs an entire organization.

MACH is what happens when we stop doing that only for other people.

The custom work is still a core part of our business, and it's what keeps us nimble. It's why we can extend MACH the same way we extend ERPs, MES, and anything else on the floor. But after a decade of building for everyone else, it was time to bring our own product to the floor. We took everything we'd learned about IT and digital delivery, paired it with people who've spent their careers inside manufacturing operations and plant IT, and that team built MACH.

Everyone working on MACH has run into a version of the same frustration. On the consultant side, we can only go as far and as deep as the budget and imagination of the client will allow. Sometimes the job doesn't get finished the way it should. We built 60% of what we could have. The rest got value-engineered out before the floor ever saw it. On the client side, leadership changes, priorities shift, champions move on, and what could have been achieved dies on the vine because no one is there to push it forward.

We built MACH so that work doesn't have to stop.

One of those engagements was with a major steel fabricator. We built a custom operational intelligence solution for their production floor and rolled it out across 100 facilities. What we learned there shaped MACH more than any other project: the gap between what the ERP reported and what was actually happening, and the tools operators and supervisors needed to close it. The steel fabricator recovered 20% additional production capacity without adding processing equipment.

MACH stands for Machine Analytics & Control Hub. The name is straightforward because the product is straightforward. Connect the machines. Capture the context. Make the data available to the people who need it, when they need it, in a form they can act on.

And we'd rather walk away from a bad fit than sell you something that doesn't deliver.