Announced details
Giga Raku Camera: approximately 150,000 cumulative units sold. Buddycom: used in aviation, railways, construction, welfare facilities, retail and other sectors (specific figures: Not disclosed).
Integration between Science Arts’ Buddycom and MIMAMORI AI provided by NTT East. Capital and personnel relationships: Not disclosed.
Location: Shinjuku-ku, Tokyo. A company that provides Giga Raku Camera. Other details: Not disclosed.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Deloitte Tohmatsu MIC Research Institute, “Deskless SaaS Market: Current Conditions and Outlook, Fiscal 2025 Edition”
| Item | Details |
|---|---|
| Names of Products / Services Covered | Buddycom, MIMAMORI AI, Giga Raku Camera |
| Counterparty | NTT East, Inc. |
| Counterparty overview | Location: Shinjuku-ku, Tokyo. A company that provides Giga Raku Camera. Other details: Not disclosed. |
| Relationship with the Company | Integration between Science Arts’ Buddycom and MIMAMORI AI provided by NTT East. Capital and personnel relationships: Not disclosed. |
| Launch date | 10 September 2026 (announced as already integrated) |
| Applicable area | Security, Facility management, Commercial facilities, Hospitals and nursing care facilities, Construction sites, Logistics Facilities, Factories, Office buildings, Public facilities |
| Usage history | Giga Raku Camera: approximately 150,000 cumulative units sold. Buddycom: used in aviation, railways, construction, welfare facilities, retail and other sectors (specific figures: Not disclosed). |
| Source | Deloitte Tohmatsu MIC Research Institute, “Deskless SaaS Market: Current Conditions and Outlook, Fiscal 2025 Edition” |
Items this document does not state (10)
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 address the issue that, even when AI detects an anomaly, notifications remain limited to an administrative dashboard or email, delaying contact with frontline staff and the start of a response, by delivering detection results to the people who need them and speeding up initial response. To support more advanced safety management and greater operational efficiency amid labor shortages.