Items stated in the management plan
Partially revisedTo maximize corporate value over the medium to long term, the company aims to improve customer productivity by having AI complete the process from data analysis through execution of initiatives, and to substantially increase average customer spending by introducing a results-based revenue model.
| Item | Details |
|---|---|
| Plan name | REVENGE 2026 |
| Progress against the plan | Partially revised |
| Operating profit target | Not disclosed → ¥3 million |
| Segment target | Segment Marketing DX Business / Actual revenue ¥449 million / Versus budget +14.1% versus budget / Profit Target Not disclosed, Segment Technology Business / Actual revenue ¥52 million / Versus budget +2.7% versus budget / Profit Target Not disclosed |
| Non-financial targets | Indicator name SiTest churn rate / Target value 1.5% or less / Timing Not disclosed |
| Plan assumptions | Based on conservative valuation multiples |
| Key initiatives | Expand alliances, High-profitability AI model, Strengthening Collaboration with Partner Companies, Launch the AI-avatar service 「アバセル」 and a GA4 reporting function powered by generative AI, Improve the user experience and strengthen the earnings base, Optimize internal systems and improve operational efficiency, Prepare to enter overseas horse-racing markets, Engage with investors and prepare pitches for Series A fundraising |
| Reason for revision or withdrawal | To maximize corporate value over the medium to long term, the company aims to improve customer productivity by having AI complete the process from data analysis through execution of initiatives, and to substantially increase average customer spending by introducing a results-based revenue model. |
| Publication date | 14 May 2026 |
Items this document does not state (16)
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.Gross profit increased by ¥32 million as a result of higher revenue and lower costs in unprofitable businesses, while selling, general and administrative expenses decreased by ¥20 million through the use of AI and the selective allocation of resources. The company attributed the decline in revenue in the Technology business to the allocation of resources to new service development and other initiatives.