# Japan's industry ministry provides 387.3 billion yen to develop domestic physical AI model for robots

> Japan will provide 387.3 billion yen to build a domestic physical AI model. The project aims to help local robotics firms close the gap with the US and China.

- Type: AI news
- Page: https://completeaitraining.com/news/japans-industry-ministry-provides-3873-billion-yen-to/
- Published: 2026-07-01
- Updated: 2026-07-01
- Author: Jeroen Erne
- Jobs: IT and development
- Reading time: 1 min

Japan's industry ministry said Tuesday it will provide 387.3 billion yen in aid for a project to develop a domestic **multimodal foundation model** that serves as the brain for physical AI systems controlling robots. The move aims to make the model widely available to Japanese companies and help the country close the gap with the United States and China in AI-driven robotics.

#### The consortium behind the model

Noetra Corp., a Japanese company founded by firms including SoftBank Corp., leads the project. Engineers from SoftBank and AI startup Preferred Networks Inc. will contribute to the development. The National Institute of Advanced Industrial Science and Technology (AIST) will support Noetra by coordinating with research institutions at home and abroad. The effort targets a model type that combines language, vision, and other sensory data-an area closely related to [Generative AI and LLM](https://completeaitraining.com/tag/generative-ai-and-llm/) research.

#### A five-year roadmap of iterative releases

Under the five-year project, Noetra and AIST plan to release a foundation model as early as this fiscal year. They will release an improved version every fiscal year, using data obtained from manufacturers and other companies. This cadence is designed to keep the model aligned with real-world industrial requirements, not just academic benchmarks.

#### Why this matters for IT and development

For developers and IT professionals working in robotics, industrial automation, or AI integration, a government-backed, domestically developed foundation model could lower the barrier to entry for creating advanced robotic systems. The model's planned wide availability to Japanese companies means in-house teams and startups alike can build on a shared, country-specific AI base. The project's emphasis on incorporating real-world data from manufacturers suggests the model will be tuned for practical use cases. With engineers from SoftBank and Preferred Networks contributing, the model may also draw on expertise in telecom infrastructure and edge AI, areas that often intersect with [AI Agents & Automation](https://completeaitraining.com/tag/automation/). As Japan seeks to reduce reliance on foreign AI platforms, this initiative could influence how global supply chains adopt AI-driven robotics.

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