Demonstration Trial Launched at Nihonbashi 1-chome Mitsui Building to Streamline Building Facility Management
Leveraging Video, IoT, and Generative AI to Achieve Labor Savings and Stable Operations

May 12, 2026
Mitsui Fudosan Co., Ltd.
Canon Marketing Japan Inc.
MODE, Inc.
Imageous, Inc.

Key Points of this Press Release

1. A demonstration trial has been launched at the Nihonbashi 1-chome Mitsui Building with the aim of streamlining building facility management operations. By rethinking conventional operations, which have centered around on-site patrols and visual inspections, the trial seeks to reduce labor and build a management model capable of sustaining stable building management into the future.
2. By centrally managing the various types of data obtained from cameras, equipment, and sensors and leveraging search and summarization powered by generative AI, the trial will verify the effectiveness of early anomaly detection as well as remote facility status checks and inspection support.
3. Based on the insights gained from this trial, the partners aim to build a foundation for digital transformation (DX) in facility management, looking ahead to applications such as centralized monitoring of multiple buildings and integrated management on an area-wide basis.

Tokyo, Japan, May 12, 2026 - Mitsui Fudosan Co., Ltd., a leading global real estate company headquartered in Tokyo (hereafter, “Mitsui Fudosan”), together with Canon Marketing Japan Inc., headquartered in Tokyo (hereafter, “Canon MJ”), MODE, Inc., headquartered in California, USA, with its Japan branch in Tokyo (hereafter, “MODE”), and Imageous, Inc., headquartered in Washington, USA, with its Japan branch in Tokyo (hereafter, “Imageous”), announced today that they have launched a demonstration trial aimed at streamlining building management at the Nihonbashi 1-chome Mitsui Building, a mixed-use complex that includes the COREDO Nihonbashi commercial facility.

Today’s building facility management sites rely heavily on operations dependent on human patrols and visual inspections. With the working-age population projected to decline in the coming years, there is a need to build management models that do not rely solely on human labor. In addition, while a single building may contain tens of thousands of pieces of facility data, this data is often managed individually, making it difficult to grasp facility conditions holistically. Furthermore, mixed-use complexes that combine offices, retail facilities, and public functions are on the rise, creating demand for new approaches to efficiently manage a wide range of facility systems.

In response to these challenges, the four companies have joined forces to conduct a demonstration trial aimed at achieving more efficient facility management through remote and automated operations. In this trial, the partners will integrate data obtained from cameras, equipment, and sensors on a cloud platform, and by also leveraging generative AI, will verify the effectiveness of remote monitoring of facility data, anomaly detection, and support for on-site workers in collecting facility data.

Looking ahead, the partners aim to collect data from multiple buildings and facilities and manage them collectively on an area-wide basis, building a foundation for facility management DX that contributes to stable building management and the stable operation of entire neighborhoods.

Conceptual image of the demonstration trial for streamlining building facility management

■ About the Demonstration Trial

At the Nihonbashi 1-chome Mitsui Building, a mixed-use complex operated by Mitsui Fudosan, the following initiatives will be implemented in the trial:

• In addition to the approximately 5,000 pieces of facility data managed through the central monitoring system, analog meters that were previously checked manually on site will be read via network cameras, and data from distribution panels and other equipment will be collected using sensors.
• The collected data and video will be integrated and managed centrally on a cloud platform.
• Based on alerts and automatically generated routine reports, the trial will verify the effectiveness of using a conversational interface to retrieve related data and obtain detailed facility status information.
• For events that could lead to serious incidents, particularly electrical leakage and insulation defects, the trial will verify the effectiveness of new operational processes that enable continuous remote monitoring and rapid initial response.
• The trial will also explore how generative AI-powered search and summarization of various data sources can speed up operational decision-making and enable more advanced operations.

Going forward, building on the insights gained from this trial, the partners will pursue further advancement and efficiency by expanding the scope of collaboration and reviewing operational workflows.

■ Roles and Outlook of Each Company

Mitsui Fudosan will provide the trial site, examine the feasibility of implementation based on related technologies, conduct verification and evaluation under real-world operating conditions, and accumulate insights toward full-scale implementation.

Canon MJ will be responsible for providing solutions, project execution and operational support. Together with MODE, with which it has formed a capital and business alliance*1, Canon MJ will draw on Canon’s strengths in imaging and document solutions to advance DX in on-site operations in response to the so-called “80% society”*2, an era shaped by Japan’s declining working-age population. For this trial, Canon MJ will also leverage services provided by Imageous to enable the collection and integration of building facility data.

• 1 February 12, 2025 press release: “MODE and Canon MJ Form Capital and Business Alliance” https://corporate.jp.canon/newsrelease/2025/pr-0212 (in Japanese)
• 2 By 2040, Japan’s working-age population (ages 15 to 64) is projected to decline to 80% of its current level—a demographic shift commonly referred to as the “80% society.”

■ Related Web Pages

Canon MJ “Imaging DX Series” https://canon.jp/biz/product/camera/nvs/image-dx (in Japanese)