From a single Nagoya factory floor to a multi-site AI platform for discrete manufacturing.
In 2022, YAMASTRO CEO Yuma Shimizu spent two months embedded at a precision parts manufacturer in Nagoya. He watched a maintenance team spend four days piecing together why a five-axis CNC center had suddenly produced 18% scrap during a single shift.
The machine had captured every data point in its controller logs. But no one had the tools to ask the right question of that data. The gap was not data collection — modern CNC and PLC equipment already captures thousands of parameters per minute. The gap was an intelligence layer that could translate raw process telemetry into the specific question a maintenance engineer needed answered before the next shift started.
A focused anomaly-detection prototype connected to three CNC machines at the Nagoya partner facility proved the concept. Within 30 days the prototype surfaced two drift patterns the operators had never formally documented. Scrap rate on those assets dropped 22% in the following quarter.
YAMASTRO has expanded from that single-facility prototype into a multi-site AI platform focused exclusively on discrete manufacturing. The company is currently in paid pilots with three mid-market manufacturers across automotive components and industrial equipment, all running Siemens or Rockwell MES environments.
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