Announced details
Network-segregated environments at local governments, administrative services using the My Number system, LGWAN, in-house AI use, counter services, and municipal DX
Implementation case study at Saito City Hall (cumulative total and reference date not disclosed)
Exhibitor and event organizer.
Organizer of the Local Government Information Promotion Fair 2026. Other details, including location, representative, and business activities, are not disclosed.
Makuhari Messe Hall 1–3 (exhibition venue)
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Local Government Information Promotion Fair 2026, hosted by the Local Government Information Systems Agency (J-LIS), and Ascentech implementation case studies
| Item | Details |
|---|---|
| Names of Products / Services Covered | Remote PC Array, Edge AI Array, Virtual human, SmartOn |
| Counterparty | Japan Agency for Local Authority Information Systems (J-LIS) |
| Counterparty overview | Organizer of the Local Government Information Promotion Fair 2026. Other details, including location, representative, and business activities, are not disclosed. |
| Relationship with the Company | Exhibitor and event organizer. |
| Launch date | 27–28 October 2026 (scheduled exhibition); vendor presentation scheduled for 14:30–15:15 on 28 October 2026 |
| Applicable area | Network-segregated environments at local governments, administrative services using the My Number system, LGWAN, in-house AI use, counter services, and municipal DX |
| Location | Makuhari Messe Hall 1–3 (exhibition venue) |
| Usage history | Implementation case study at Saito City Hall (cumulative total and reference date not disclosed) |
| Source | Local Government Information Promotion Fair 2026, hosted by the Local Government Information Systems Agency (J-LIS), and Ascentech implementation case studies |
Items this document does not state (9)
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 introduce measures addressing the decline in operational efficiency and increased administrative burden caused by the operation of multiple devices at local governments, as well as the protection of confidential information and resident data and the prevention of external model training associated with the use of generative AI.