Cross-industry rollout and feature development of FAST-D
First written in FY2024. 24 of 28 entries say "Advanced", first in FY2025-H1. Latest entry: 2026-10-28.
No other company in this theme has enough history to compare yet.
- FY2026-H1AdvancedAnnual report
「Implementation of FAST-D in the maintenance of social infrastructure has progressed steadily. In June 2026, we began providing Shikoku Electric Power Company,Incorporated with the FAST-D Monitoring Edition abnormal sound detection AI solution. In addition, the initiative with Moriyama City, Shiga Prefecture, to detect water-pipe leaks using satellite data and AI moved into the social implementation phase in April 2026 following the demonstration results.」
The company began providing the Monitoring Edition to Shikoku Electric Power Company,Incorporated and moved its water-leak detection initiative with Moriyama City from demonstration to social implementation. - FY2025AdvancedAnnual report
「For FAST-D, our abnormal sound detection product, we are further advancing the digital transformation of infrastructure maintenance by capturing demand for smart maintenance, including equipment monitoring at LNG vaporization plants and demonstration and implementation of a water-leak detection system linked to satellite data.」
The company is expanding FAST-D applications to equipment monitoring at LNG vaporization plants and satellite-data-linked water-leak detection. - FY2025-H1AdvancedAnnual report
「For FAST-D, our abnormal sound detection product, we are conducting ongoing sales activities mainly with companies promoting smart maintenance and the digital transformation of infrastructure maintenance. During the interim accounting period, demonstration projects progressed in infrastructure fields such as water supply and sewage systems with local governments, and we promoted support for greater efficiency across water-infrastructure maintenance.」
FAST-D demonstration projects progressed in infrastructure fields such as water supply and sewage systems with local governments, supporting more efficient maintenance of water infrastructure. - FY2024First statedAnnual report
「We are developing FAST-D, an abnormal sound detection product with functions for creating AI models, detecting outliers and other abnormal sound detection algorithms, and classifying the causes of abnormal sounds, with the aim of building end-to-end solutions covering sound-data collection and analysis, AI algorithm development and system implementation.」
The company is pursuing an end-to-end process from sound-data collection and analysis through AI algorithm development and system implementation, with expansion into railways, manufacturing, electric power and property management.