HmcOmm Announces Results of Leak Detection Model Demonstration in Moriyama City and Initiatives for Next-Generation Leak Monitoring

HmcOmm Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Koji Sambon; hereinafter referred to as "HmcOmm") announced today its policy to confirm the effectiveness of its leak detection model based on subsequent demonstration progress and to advance initiatives towards realizing next-generation leak monitoring AI, following the demonstrations conducted with Moriyama City, Shiga Prefecture, as previously announced on October 24, 2025, in "Decision on the Direction of the Demonstration Phase for the Leak Detection System Using Satellite Data x FAST-D" and on April 3, 2026, in "Announcement Regarding the Results of the AI Leak Detection Demonstration Experiment in Moriyama City and Transition to the Social Implementation Phase (Progress of Disclosure Matters)".

1. Demonstration Results

In this initiative, we conducted wide-area risk analysis utilizing water pipe information, geospatial data, satellite data, and repair history, as well as verification of a leak detection model using HmcOmm's acoustic analysis AI technology.

The following results were confirmed in the demonstration with Moriyama City:

Confirmed the effectiveness of AI-based wide-area leak risk analysis. Confirmed high-precision classification of leaks and non-leaks by leak sound analysis AI. Discovered and confirmed leaks at multiple locations through on-site surveys targeting high-risk areas. Confirmed the effectiveness of the leak detection process from wide-area analysis to on-site investigation.

2. Initiatives for Next-Generation Leak Monitoring

Through this demonstration, the effectiveness of the leak detection model combining wide-area risk analysis and acoustic AI has been confirmed.

Based on these findings, HmcOmm will proceed with initiatives to evolve from "Leak Detection AI" for discovering leaks to "Leak Monitoring AI" for continuously monitoring the signs of leaks.

In the future, by combining wide-area risk analysis AI, acoustic judgment AI, and monitoring IoT, we aim to realize a next-generation infrastructure management model that prioritizes monitoring high-risk areas and supports early detection of abnormalities and preventive maintenance.

Furthermore, we will proceed with considerations for transitioning from conventional Time-Based Maintenance (TBM) to Condition-Based Maintenance (CBM), which determines priorities based on equipment status.

[Supplementary Material] Regarding the Demonstration Results of the Leak Detection Model in the Moriyama City Demonstration

About HmcOmm Inc.

President and CEO: Koji Sambon

URL: https://hmcom.co.jp

Established: July 24, 2012

Location: PMO Hamamatsucho III, 4th Floor, 2-10-6 Hamamatsucho, Minato-ku, Tokyo

Business Activities: Research and development of elemental technologies based on artificial intelligence (AI) voice processing technology, and provision of solutions/services.

<Inquiries Regarding This Release>

For Media: HmcOmm Inc. IR Department [email protected]

For Corporations: HmcOmm Inc. Sales Division [email protected]

TEL: 03-6550-9830 FAX: 03-6550-9831