DMG MORI has invested in Noetra Corp., a company formed to research and develop Japanese multimodal foundation models and Physical AI platforms. The move signals the machine tool manufacturer's plan to use AI for digitizing decades of shop-floor knowledge and tackling labor shortages through advanced automation.
Noetra, established on January 7, 2026, was originally called Japan Foundation Model Development Co. before renaming on June 1, 2026. The company aims to build Physical AI that lets robots and machines perceive real-world environments, make decisions autonomously, and take action. It intends to make its research outcomes widely available to domestic companies and research institutions, strengthening Japan's cross-industry AI ecosystem.
Noetra's work on multimodal foundation models and Physical AI straddles two key domains: the development of advanced AI systems, relevant to AI for IT & Development, and the industrial process optimization that falls under AI for Operations. By using vast amounts of industrial data, the company chips away at the gap between digital intelligence and physical machinery.
Physical AI and the manufacturing floor
DMG MORI is pushing its Machining Transformation (MX) strategy, which integrates machine tools, automation, and digital technologies. The company expects Japanese-developed AI to digitize the tacit knowledge that factory workers accumulate over years. Physical AI-where machines interpret and act on physical surroundings-could advance process optimization, quality control, and workforce support in manufacturing settings.
Through the investment, DMG MORI aims to support the domestic AI ecosystem while drawing on its own manufacturing expertise to explore next-generation production methods. The company sees AI as critical for improving productivity and quality, especially as labor shortages continue to pressure the industry.
Noetra operates from its headquarters in Shibuya, Tokyo, under President and CEO Hironobu Tamba. Its business covers research and development of multimodal foundation models and the evaluation of infrastructure for developing those models.
Why this matters for IT and Development
For IT and development professionals, the investment highlights a growing demand for AI skills that bridge software and physical systems. Noetra's focus on multimodal models, which combine text, images, and sensor data, demands engineers who can build pipelines for industrial data and deploy models that reason about the real world. The push for locally developed foundation models also signals opportunities in model training, infrastructure evaluation, and the secure handling of sensitive manufacturing data.
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