- JP-listed companies
- MAMEZO CO.,LTD.
MAMEZO CO.,LTD. (202A) Stock Price
Price and Volume
Market Cap
PER
PBR
Business Overview
Mame-zō Digital Holdings is a holding company in the information services sector that supports corporate digital transformation, with a focus on AI, data science, and robotics. The company offers comprehensive services spanning digital strategy formulation, business process reform, custom system development, technical training for engineers, and development support for industrial robots. It drives software-led transformation leveraging cloud and generative AI technologies.
The company's customer base centers on major blue-chip enterprises in finance, telecommunications, manufacturing, and trading. It generates revenue from multiple sources including contract projects, consulting services, and educational offerings. In recent years, the proportion of high-value-added projects has grown, including cloud migration support, internal development enablement, and new business creation using generative AI.
The business is organized into four divisions: Cloud Consulting, AI Consulting, AI Robotics & Engineering, and Mobility Automation, with group companies sharing responsibilities in service delivery. Specific offerings include cloud and ERP implementation, internal development support and training, data utilization and algorithm development using AI, embedded systems technology adoption and model-based development, and software and hardware development for automotive, aerospace, and maritime applications, as well as factory automation support.
Management Policy
The company has established a medium-term management plan (fiscal year ending March 2025 through March 2027) and aims for sustainable growth through "ambidextrous management," simultaneously expanding existing businesses and exploring new opportunities. Key performance indicators include operating profit growth rate, operating profit margin, and sales growth rate. The company plans to improve profitability by increasing engineer headcount for volume expansion and raising the ratio of high-value projects and prime contracts for quality improvement. The company leverages a growing foundation: engineer headcount has increased from 708 in 2021 to 763 in 2025, and employee turnover has declined to 5.5%.
The company has designated AI software engineering, robotics, cloud services, and internal development support and training as priority investment areas to differentiate from competitors. At the core of this differentiation is "Mame-yashiki Way," a proprietary talent development and knowledge transfer model that supports customer internal development through direct customer engagement, involvement from upstream project stages, and converting project insights into documented knowledge. Specific initiatives include leveraging AWS internal development support partner certification for cloud migration services and accelerating strategic investment in AI robotics business.
For new market entry and business expansion, the company plans to deepen solution offerings across four domains—cloud consulting, AI consulting, AI robotics engineering, and mobility automation—leveraging its existing customer base of major financial, telecommunications, manufacturing, and trading companies. The strategy involves supporting customers from their DX preparation phase through internal development promotion to generate future recurring business. The company will pursue business scale expansion and technology acquisition through group restructuring and M&A as options. A planned absorption merger for group efficiency is scheduled for October 1, 2025, aimed at improving profitability through organizational integration.
In technology innovation, the company emphasizes technical accumulation in the "manufacturing × IT" domain, which integrates software and hardware. By incorporating generative AI, data utilization, and model-based development into operations, the company aims to improve unit prices and build a high-profit structure through faster delivery and higher quality outcomes. Specific measures include talent development through in-house training and knowledge sharing, priority investment in AI robotics, and provision of internal development training for customers to promote horizontal technology deployment, thereby contributing to customers' digital competitiveness.