AI in Japan

Rakuten, a Japanese technology company with 70+ businesses across e-commerce, travel, fintech, digital content, and communications, deployed Claude Code to compress time-to-market from 24 working days to 5 days (79% reduction) while sustaining 7 hours of autonomous coding on a complex vLLM refactor (12.5M lines, multiple languages) with 99.9% numerical accuracy. Claude Managed Agents were rolled out across product, sales, marketing, and finance within one week.

Tokyo-headquartered trading house Mitsubishi Corporation built its MC-GPT generative-AI platform on Microsoft Azure OpenAI Service and rolled it out to more than 1,000 monthly active users within two years, achieving 97% accuracy on contract and balance-certificate information extraction and 98% recall on withholding-slip filing decisions in a controlled accounting-automation experiment with PwC Tax Corporation.

OKI developed an AI-based inspection technology that reduces manual post-AOI visual checks of large, high-density printed circuit boards used in AI servers by about 80%. The system inspects four defect categories (solder wetting, misalignment, missing components, lifted parts) using a "good-product-only learning" method, and is rolling out to Marugoto EMS customer production lines from July 1, 2026. The technology is designed for high-mix electronics manufacturing handling tens of thousands of material types.

Tokuiten Inc. deployed a suction-type AI cherry-tomato harvesting robot at its 2,000 m² Aichi Prefecture greenhouse in 2025 — one of Japan's first commercial cherry-tomato harvesting robots. Harvests ~31 kg/day matching hand-picked quality, operates twice weekly overnight via rail navigation. Developed since 2023 to address Japan's shrinking farming workforce.

Kioxia Yokkaichi Plant, one of the world's largest flash memory fabs (Fab7 operational since fall 2022), processes 3 billion data points daily from thousands of tools. Uses AI/ML to infer device failure root causes and detect defect signs automatically across the wafer lifecycle.

Astellas Pharma, a global Tokyo-based pharmaceutical company specializing in oncology, immunology, and gene therapy, deployed a Microsoft Azure multi-agent AI environment for manufacturing quality assurance, saving 980 hours monthly with 81% information accuracy and 69% citation coverage by automating deviation database search.

Hitachi developed an AI agent using Retrieval Augmented Reasoning (RAR) and STAMP/CAST methodology to diagnose equipment failures in manufacturing. In joint demonstration with Daikin Industries, accuracy improved from 67% to over 90%, with ~10 second response time.

Deployed generative AI chatbot for customer inquiries on MISUMI e-commerce site. Technical support: response time reduced from 60 minutes to 40 seconds (98% reduction). Post-order service: from 321 seconds to 10 seconds (97% reduction). Handles 100,000+ technical inquiries annually.