Xentron Launches Physical AI Data Platform NEXUS for Manufacturing
The launch is aimed at the OT/IT divide that keeps factory automation stuck at partial optimization, so Xentron is pitching cost reduction and company-wide optimization to manufacturers facing labor shortages and stalled skills transfer.
Reporting from 1 source: ASCII.jp.
Xentron has begun offering NEXUS, a data platform that connects operational technology and information technology. The platform collects and structures equipment and operation data from manufacturing and logistics sites in real time, then makes it usable for AI model training and digital twin construction. Xentron says the platform can cut data integration development and operation costs by up to 80 percent.
The platform targets a specific structural problem: control systems and information systems at manufacturing and logistics sites run on different operating environments, which keeps automation confined to individual processes.
NEXUS supports multiple protocols and simplifies connection setup, cutting the cost of individual systems integration work. It then structures operation logs, transport trajectories, and inspection results so the data feeds directly into AI training and digital twin construction.
Xentron lists three on-site issues the product addresses: falling operating rates from labor shortages, the loss of technical succession as veteran workers leave, and isolated automation equipment. Inquiries go through the company's contact form.
Synthesized by Yomimono from the 1 cited source below, including Japanese-language reporting where cited, then editorially reviewed before publishing.