MetaReal Corporation

Business Details

Positioned at the intersection of "industry-specific verticalized AI agents × global support for Japanese companies," the segment builds on AI translation (machine translation) to provide specialized document AI and business creation AI for industries such as pharmaceuticals, manufacturing, legal, patents, and finance. It is mainly operated by Rozetta Corporation, which has a customer base of over 6,000 companies. The business is undergoing a shift from conventional SaaS toward task-execution AI (SaS) and on-site AI implementation services (FDE). "Fully Automatic Translation AI (Autonomous AI)" is positioned as the top-priority area, with efforts underway to expand SaS adoption across the entire translation industry.

Recent Overview

Orders received fell sharply by 31% year on year, and losses widened in Q1

In Q1 FY2027 (ending March 2027) (March to May 2026), AI Business revenue fell sharply to ¥583 million (down 16.2% year on year), and orders received fell to ¥643 million (down 31.0% year on year). While cost reductions from the structural reforms initiated in the prior fiscal year progressed, they were offset by a combination of increased one-time costs related to generative AI and temporary upfront expenses aimed at reducing network and maintenance costs, causing the segment loss to widen to ¥26 million (versus a loss of ¥20 million in the same period of the prior year). Effective July 1, 2026, MetaReal and Rozetta were reorganized into a "small elite team plus AI" structure. The number of words used by the core-needs user segment of the Fully Automatic Translation AI continues to trend upward.

Key Products

Growth Drivers

• Positioning "Fully Automatic Translation AI (Autonomous AI)" as the top-priority area and creating new revenue sources through SaS-based expansion to translation companies and translators
• Concentrating on the "development of customer-specific plugins for architectural BIM/DX systems" field in collaboration with STUDIO55 Co., Ltd., and improving development process efficiency through AI technology integration
• Transitioning from SaaS to task-execution AI (SaS) and on-site AI implementation services (FDE) to achieve higher added value and improved gross margins
• Creating customer value starting from aggressive development investment in T-4OO, and cross-selling generative AI and AI agent services by leveraging the existing customer base of over 6,000 companies
• Reducing fixed costs and improving profitability through the "small elite team plus AI" organizational restructuring, and generating synergies with AI technology through the acquisition of specialized customer bases and technical know-how via M&A strategy

Risks

• Downward pressure on revenue if the significant decline in orders received (¥643 million in Q1 FY2027 (ending March 2027), down 31.0% year on year) continues
• Risk of declining profit margins during the structural reform transition period, due to factors such as increased one-time costs related to generative AI and upfront expenses for reducing network and maintenance costs
• Risk of losing existing customers due to intensifying competition with major tech companies and general-purpose AI services in the generative AI market
• Risk to the revenue model transition if the shift toward SaS and FDE does not proceed as planned
• Risk of additional impairment losses due to deteriorating profitability of development projects