Announced details
Nuisance calls and nuisance SMS, and measures against special fraud and phishing scams
Detects approximately 99% of nuisance calls (aggregated data for January–December 2025)
Detects SMS messages suspected of being fraudulent with approximately 97% accuracy (aggregated data for January–December 2025)
Classifies and analyzes approximately 370 million messages per month; the nuisance information filtering service is used by approximately 15 million people per month.
Service integration whereby a feature powered by the Company’s database is incorporated into the “Ponta Pass” app provided by KDDI. Capital and personnel relationships: Not disclosed.
Head office: Minato-ku, Tokyo; Representative Director, President and CEO: Matsuda Hiroji (松田浩路). Provides the membership-based “Ponta Pass” service. Other details: Not disclosed.
The Company expects to expand opportunities to use its services and its user base. The specific impact on results: Not disclosed.
The company does not address Contract Value / Offering price.
Aggregated data for January–December 2025
| Item | Details |
|---|---|
| Names of Products / Services Covered | Ponta Pass, Nuisance Message and Call Blocking, Tobila Systems’ nuisance information database |
| Counterparty | KDDI Corporation |
| Counterparty overview | Head office: Minato-ku, Tokyo; Representative Director, President and CEO: Matsuda Hiroji (松田浩路). Provides the membership-based “Ponta Pass” service. Other details: Not disclosed. |
| Relationship with the Company | Service integration whereby a feature powered by the Company’s database is incorporated into the “Ponta Pass” app provided by KDDI. Capital and personnel relationships: Not disclosed. |
| Launch date | 9 April 2026 (actual) |
| Applicable area | Nuisance calls and nuisance SMS, and measures against special fraud and phishing scams |
| Quantitative Effects | Detects approximately 99% of nuisance calls (aggregated data for January–December 2025), Detects SMS messages suspected of being fraudulent with approximately 97% accuracy (aggregated data for January–December 2025) |
| Usage history | Classifies and analyzes approximately 370 million messages per month; the nuisance information filtering service is used by approximately 15 million people per month. |
| Impact on Business Performance | The Company expects to expand opportunities to use its services and its user base. The specific impact on results: Not disclosed. |
| Source | Aggregated data for January–December 2025 |
Items this document does not state (8)
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.To improve user convenience by eliminating the need to install an additional dedicated app, and to expand user engagement with and the user base for the Company’s services.