Contents of this document
- Issues Reasons for targeting full-year operating profit of ¥101 million against first-half operating profit of ¥13 million / Summary of response Convert the expansion of high-value-added projects, the rollout of AI Agents and AI products across customers, productivity gains through NaNa and FD-X, and insourcing and outsourcing cost reductions with コラボテクノ社 into profit
- Issues Likelihood of achieving the second-half operating profit target of ¥87 million / Summary of response Monetize existing projects, begin consolidating コラボテクノ社, expand high-value-added projects, and reduce costs and expenses
- Issues How to raise the AI product revenue ratio to 70% over the medium term / Summary of response Develop AI solutions, AI products, AI Agents, and the VAAP platform in sequence, building ARR
- Issues Purpose of acquiring コラボテクノ社 and PMI synergies / Summary of response Acquire engineering capabilities to implement and scale AI technologies at customer sites, while advancing insourcing, development efficiency, higher value-added services, and cross-selling
- Issues Approach to shareholder returns / Summary of response The company currently pays no dividends and will reinvest in research and development in the AI Agent field and strategic M&A. It aims to begin paying dividends at an early stage once its earnings power has improved
- Strong standalone performance driven by progress in earnings structure reform
- Full-scale realization of group synergies through the consolidation of コラボテクノ社
- Expansion of high-value-added projects
- Productivity gains and cost reductions
The company identifies the factors but does not state the amount attributable to each one.
- Transition to an AI platform company centered on the Voice AI Agent Platform (VAAP)
- Company-wide AI-native management through the AI headquarters, NaNa
- Full-scale rollout of the AI-native development model, FD-X
- PMI with コラボテクノ社, including insourcing development work and reducing outsourcing costs
- Rollout of AI Agents and AI products across multiple customers
- Growth investment based on a strategy of using M&A to buy time
- AI product revenue ratio38 %
- Medium-term target for AI product revenue ratio70 %
- ARR
- NRR (net revenue retention)
| Item | Details |
|---|---|
| Document type | Summary of Q&A |
| Fiscal Period Covered | Second quarter of the fiscal year ending December 2026 |
| Net Sales | ¥624 million (YoY +42.1%) |
| Operating profit | ¥13 million (first half) |
| Gross Profit Margin | Rate 45.8 / Year-on-year change (points) Not disclosed |
| Full-year earnings forecast | Operating profit ¥101 million |
| Breakdown of Factors Affecting the Change | Factors Strong standalone performance driven by progress in earnings structure reform / Amount Not disclosed, Factors Full-scale realization of group synergies through the consolidation of コラボテクノ社 / Amount Not disclosed, Factors Expansion of high-value-added projects / Amount Not disclosed, Factors Productivity gains and cost reductions / Amount Not disclosed |
| Key KPIs | Indicator name AI product revenue ratio / Value 38 % / Year on year against the same period last year Not disclosed, Indicator name Medium-term target for AI product revenue ratio / Value 70 % / Year on year against the same period last year Not disclosed, Indicator name ARR / Value Not disclosed / Year on year against the same period last year Not disclosed, Indicator name NRR (net revenue retention) / Value Not disclosed / Year on year against the same period last year Not disclosed |
| Medium-term management plan targets | AI product revenue ratio Target value 70 % / Target fiscal year Medium term / Current status 38 % |
| Annual Dividend | Annual dividend per share ¥0 / Interim and Year-End Breakdown Not disclosed |
| Key points of the Q&A | Issues Reasons for targeting full-year operating profit of ¥101 million against first-half operating profit of ¥13 million / Summary of response Convert the expansion of high-value-added projects, the rollout of AI Agents and AI products across customers, productivity gains through NaNa and FD-X, and insourcing and outsourcing cost reductions with コラボテクノ社 into profit, Issues Likelihood of achieving the second-half operating profit target of ¥87 million / Summary of response Monetize existing projects, begin consolidating コラボテクノ社, expand high-value-added projects, and reduce costs and expenses, Issues How to raise the AI product revenue ratio to 70% over the medium term / Summary of response Develop AI solutions, AI products, AI Agents, and the VAAP platform in sequence, building ARR, Issues Purpose of acquiring コラボテクノ社 and PMI synergies / Summary of response Acquire engineering capabilities to implement and scale AI technologies at customer sites, while advancing insourcing, development efficiency, higher value-added services, and cross-selling, Issues Approach to shareholder returns / Summary of response The company currently pays no dividends and will reinvest in research and development in the AI Agent field and strategic M&A. It aims to begin paying dividends at an early stage once its earnings power has improved |
| New initiatives | Transition to an AI platform company centered on the Voice AI Agent Platform (VAAP), Company-wide AI-native management through the AI headquarters, NaNa, Full-scale rollout of the AI-native development model, FD-X, PMI with コラボテクノ社, including insourcing development work and reducing outsourcing costs, Rollout of AI Agents and AI products across multiple customers, Growth investment based on a strategy of using M&A to buy time |
Items this document does not state (19)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.The company cited strong standalone performance driven by progress in its earnings structure reform and the full-scale realization of group synergies following the consolidation of コラボテクノ社 as reasons for the upward revision. For profit growth in the second half, it explained that it will expand high-value-added projects, roll out AI Agents and AI products across customers, improve productivity through its AI headquarters, NaNa, enhance development productivity through FD-X, and insource outsourced work.