Founded in 1992, Rimeco is a family-owned CNC machine shop that produces precision aircraft and aircraft engine components. Over three decades, it grew from a two-person operation in roughly 800 square feet into a 46,000-square-foot facility running around 40 machines. That growth came with a familiar set of operational hurdles. Machine monitoring, ERP, maintenance, and quality all lived in separate systems, forcing employees to log in to multiple tools throughout the day. Someone spent about an hour every day building a manual report to reconcile machine data against the ERP. Part counts drifted between operations, inspection sheets were filled out by hand, and loading programs meant carrying flash drives between the IT manager’s office and the machines.

To bring these pieces together, Rimeco turned to Harmoni’s factory orchestration platform. The integration unified the company’s ERP, quality, and maintenance systems into one connected solution, giving operators everything they need right at their work cells. Instead of walking to a shared station, machinists now clock in, log in to jobs, and pull the correct programs directly at their machines. Automation replaced the manual processes that once slowed the shop down, from part counting to program transfers, and digital work instructions with photos and step-by-step details took the place of paper. Adoption was immediate, with the full shop following a short operator pilot, and the platform continues to expand through a responsive, collaborative partnership.

The results speak to what a connected factory can deliver. Part counting is now nearly perfect, the hour once lost to daily manual reporting is gone, and program version tracking alone stands to save hundreds or even thousands of labor hours each year. Audits move faster because documentation lives in one digital portal, and the freed-up capacity supports a sales growth trajectory of roughly 30% this year. These gains are only part of the story. Unlock the full case study to see how Rimeco built its connected factory, how the team measured the impact, and what comes next as they put their machine data to work.