We have a track record of working with major companies such as Shimizu Corporation, Fujifilm Corporation, and Ricoh Company, and have developed a wide variety of projects throughout Japan from our base in Sapporo, Japan. We have more than 70 engineers and have ongoing business with about 20 Japanese companies.
Japanese engineers are in charge of the contact point, and testing and debugging utilizing development-related AI realizes high quality, short delivery time, and low cost even offshore. Using “trade-on development” that achieves both “quality and price,” we aim to be a partner that grows together with our clients, rather than merely running side by side.
Japan’s IT Talent Crisis
Japan's IT industry is facing a serious challenge: a shortage of human resources.
The Ministry of Economy, Trade and Industry (METI) estimates that there will be a shortage of up to “approximately 790,000” IT personnel by 2030, and warns that the impact of this shortage will extend to stagnation of DX and decline in international competitiveness of each company.
Factors behind this include a shrinking workforce due to the declining birthrate and aging population, inadequate training of IT personnel, and the uneven distribution of human resources in urban areas. Small and medium-sized enterprises in particular are finding it difficult to secure IT personnel, and global human resource utilization is attracting attention as an option.
Rapid Growth and Appeal of the Philippine IT Industry
The country actively invests in IT education, with over 30,000 students earning IT-related degrees.
※Source:Statista / DNS Africa
The compound annual growth rate (CAGR) of the IT market is "more than 12%”. This is one of the fastest growth rates among Asian countries.
※Source:Mordor Intelligence
A major “IT-BPM” country with many years of experience in development with multinational companies. The company has a large number of engineers with a high level of English proficiency, giving it a competitive edge in global collaboration.
※IT-BPM（Business Process Management）
To address the critical shortage of IT professionals in Japan, we have chosen the Philippines as our primary offshore development hub.
This decision is based on the country’s strong growth potential, highly skilled workforce, and high compatibility with global business practices.
The Philippines, with its high growth potential, stable talent supply, and strong business compatibility, is an ideal development partner for Japanese companies. Our company is based there, delivering “Trade-On Development” that balances both cost and quality.
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Abundant Future
Development Talent From an Overseas Workforce
with an Average Age of 25
The Philippines, where English is an official language, has a young workforce with an average age of 25, characterized by flexible thinking and strong eagerness to learn. The country shows high affinity for advanced technologies such as AI and cloud computing, which aligns well with our AI-driven development efforts. With labor costs lower than in Japan, it is gaining attention as a cost-effective and promising development hub.
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“Efficiency” Through AI
“Quality” the Japanese Way
Based on Japanese-style quality management methods, we systematically build processes covering everything from WBS and review systems to test design. We rigorously operate source code reviews and defect analyses to ensure reliability through our approach to quality. Additionally, we actively utilize AI development support tools such as GitHub Copilot, Cursor, and DeepCode in real projects. By integrating these tools throughout requirements definition, design, implementation, unit testing, and vulnerability scanning, we achieve a balance of productivity and quality.
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Cost-Focused
“Lab-Type” Model
Output-Oriented “Contract-Based” Development
We offer two development models tailored to project goals and team structure: the “Lab-Type” and the “Contract-Based” approach. The Lab-Type model is ideal for long-term projects or cases requiring flexible team scaling. It allows for dynamic adjustment of team size based on project progress and budget. On the other hand, the Contract-Based model is outcome-driven, with deliverables clearly defined. Engineers are carefully selected through skill tests and interviews, and we take full responsibility for quality, deadlines, and results—ensuring reliable output.
xamples: ReviewGPT, DeepCode, Codacy
AI automatically checks pull requests and provides suggestions for bugs and styles. This reduces review time and contributes to leveling quality and preventing omissions.
Examples: Diffblue Cover, Testim
Automatic generation of unit tests and UI tests from existing code. This greatly reduces test creation time and contributes to improved coverage.
Examples: Amazon CodeWhisperer, Tabnine
Automatic generation of functions and code blocks from prompts (natural language instructions). This contributes to the creation of a starting point in the early stages of development and to the streamlining of routine tasks.
Examples: Snyk Code, Kite
Detects potential security vulnerabilities and bugs in code in real time. Early detection of defects contributes to reduction of correction costs.
Examples: GitHub Copilot
An AI development support tool that suggests optimal code in real time based on natural language and code context. It increases coding speed and accuracy, and helps developers improve productivity and focus.
Our company provides comprehensive support for AI utilization and DX initiatives in BPO and development environments—from consultation and planning to implementation and operation.
We warmly welcome inquiries even if you’re unsure where to start.
Please feel free to share your challenges and current situation with us first.
