Development and Launch of 'Bridge Assessor', an AI Bridge Diagnosis Support Service
NTT Docomo Solutions, NTT Docomo, and Mizota Design Office have launched 'Bridge Assessor', an AI service supervised by Nagasaki University. It generates MLIT-compliant diagnosis reports from bridge inspection tickets, reducing work time by up to 80%.
📋 Article Processing Timeline
- 📰 Published: April 24, 2026 at 00:00
- 🔍 Collected: April 23, 2026 at 15:31
- 🤖 AI Analyzed: April 23, 2026 at 16:29 (57 min after Collected)
April 23, 2026
NTT Docomo Solutions, Inc.
NTT Docomo, Inc.
NTT Docomo Business, Inc.
Mizota Design Office, Inc.
NTT Docomo Solutions, Inc. (formerly NTT Comware Corporation, hereinafter NTT Docomo Solutions), NTT Docomo, Inc. (hereinafter NTT Docomo), and Mizota Design Office, Inc. (hereinafter Mizota Design Office) have jointly developed a bridge diagnosis support service called 'Bridge Assessor TM' (hereinafter 'this service') under the supervision of Nagasaki University. This service is a new task-specific AI agent that, when fed with a bridge inspection ticket, automatically generates a draft diagnosis report in a format compliant with the systems and guidelines stipulated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). NTT Docomo Business, Inc. (formerly NTT Communications Corporation, hereinafter NTT Docomo Business) will begin selling it today.
This service is a system for bridge diagnosis tasks utilizing generative AI technology and RAG (Retrieval-Augmented Generation). It not only searches manuals like conventional RAG, but also incorporates unique 'diagnostic logic'—the verbalized tacit knowledge of skilled engineers—as reference information. This solves challenges such as the shortage of engineers in bridge inspection and diagnosis tasks and achieves homogenization of diagnosis quality. Furthermore, it can directly read inspection tickets of various formats that differ by municipality and automatically generate draft diagnosis reports in formats compliant with MLIT systems and guidelines, reducing the working time required for diagnostic tasks by up to 80%*1.
Overview of this service (Image)
## Background
Among the approximately 730,000 bridges nationwide, the proportion of bridges over 50 years old since construction is expected to increase from about 42% in FY2024 to about 54% in FY2029. Regular inspections conducted every five years require the diagnosis of approximately 150,000 bridges annually.*2
On the other hand, because bridge diagnosis tasks require highly specialized knowledge and experience, the shortage of engineers, increasing workload, and difficulty in passing on technical skills have become major problems. To solve these problems, the three companies (NTT Docomo Solutions, NTT Docomo, and Mizota Design Office), in collaboration with the Graduate School of Engineering, Nagasaki University (Associate Professor Kohei Yamaguchi), fused generative AI technology with specialized knowledge in bridge maintenance to develop this service, which supports the streamlining and quality improvement of diagnostic tasks, as well as the transfer of technical skills to next-generation engineers.
## Service Overview
1. Features
The main features of this service are the following four points:
- Can directly read various formats of inspection tickets that differ by municipality.
- If information necessary for diagnosis is lacking, it confirms this using a checklist format.
- Generates a draft diagnosis report (quantitative evaluation) based on diagnostic logic that verbalizes the tacit knowledge of skilled engineers.
- Generates a draft diagnosis report (observation text) based on input information in a format compliant with MLIT systems and guidelines.
In practical operations verification conducted with multiple municipalities and construction consultants from December 2025 to March 2026, it was confirmed that utilizing this service can reduce the working time required for diagnostic tasks by up to 80%. Additionally, it is highly evaluated for allowing even inexperienced engineers to execute tasks while checking the draft diagnosis reports and rationales presented by the AI.
2. Pricing
Individual estimates will be provided depending on the target scope and bridge type. Please contact us below.
Service Inquiries: bridge-sales@ntt.com
3. Sales Start Date
April 23, 2026
4. Product Website
https://www.nttcom.co.jp/smtech/sdf/#trafic
## Roles of Each Company
- NTT Docomo Solutions: Service planning, system development, and operation of Bridge Assessor.
- NTT Docomo: AI agent technology development for Bridge Assessor.
- NTT Docomo Business: Sales of Bridge Assessor.
- Mizota Design Office: Provision of bridge maintenance knowledge, diagnostic know-how, and sales agency.
Moving forward, the four companies will deploy this service primarily to construction consultants and private bridge managers who conduct regular bridge inspection tasks, contributing to the realization of sustainable infrastructure maintenance and management.
*1 Based on the results of practical operations verification conducted with municipalities and construction consultants from December 2025 to March 2026. The effect of reducing working hours varies depending on the usage environment and conditions.
*2 Ministry of Land, Infrastructure, Transport and Tourism: 'Current Status and Future of Social Infrastructure Aging'
https://www.mlit.go.jp/sogoseisaku/maintenance/02research/02_01.html
* The name and icon for 'Bridge Assessor' are currently pending trademark registration by NTT Docomo Solutions, Inc.
[Attachment]
'Bridge Assessor' Service Details
1. Overview
Generative AI technology and RAG (Re...
NTT Docomo Solutions, Inc.
NTT Docomo, Inc.
NTT Docomo Business, Inc.
Mizota Design Office, Inc.
NTT Docomo Solutions, Inc. (formerly NTT Comware Corporation, hereinafter NTT Docomo Solutions), NTT Docomo, Inc. (hereinafter NTT Docomo), and Mizota Design Office, Inc. (hereinafter Mizota Design Office) have jointly developed a bridge diagnosis support service called 'Bridge Assessor TM' (hereinafter 'this service') under the supervision of Nagasaki University. This service is a new task-specific AI agent that, when fed with a bridge inspection ticket, automatically generates a draft diagnosis report in a format compliant with the systems and guidelines stipulated by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT). NTT Docomo Business, Inc. (formerly NTT Communications Corporation, hereinafter NTT Docomo Business) will begin selling it today.
This service is a system for bridge diagnosis tasks utilizing generative AI technology and RAG (Retrieval-Augmented Generation). It not only searches manuals like conventional RAG, but also incorporates unique 'diagnostic logic'—the verbalized tacit knowledge of skilled engineers—as reference information. This solves challenges such as the shortage of engineers in bridge inspection and diagnosis tasks and achieves homogenization of diagnosis quality. Furthermore, it can directly read inspection tickets of various formats that differ by municipality and automatically generate draft diagnosis reports in formats compliant with MLIT systems and guidelines, reducing the working time required for diagnostic tasks by up to 80%*1.
Overview of this service (Image)
## Background
Among the approximately 730,000 bridges nationwide, the proportion of bridges over 50 years old since construction is expected to increase from about 42% in FY2024 to about 54% in FY2029. Regular inspections conducted every five years require the diagnosis of approximately 150,000 bridges annually.*2
On the other hand, because bridge diagnosis tasks require highly specialized knowledge and experience, the shortage of engineers, increasing workload, and difficulty in passing on technical skills have become major problems. To solve these problems, the three companies (NTT Docomo Solutions, NTT Docomo, and Mizota Design Office), in collaboration with the Graduate School of Engineering, Nagasaki University (Associate Professor Kohei Yamaguchi), fused generative AI technology with specialized knowledge in bridge maintenance to develop this service, which supports the streamlining and quality improvement of diagnostic tasks, as well as the transfer of technical skills to next-generation engineers.
## Service Overview
1. Features
The main features of this service are the following four points:
- Can directly read various formats of inspection tickets that differ by municipality.
- If information necessary for diagnosis is lacking, it confirms this using a checklist format.
- Generates a draft diagnosis report (quantitative evaluation) based on diagnostic logic that verbalizes the tacit knowledge of skilled engineers.
- Generates a draft diagnosis report (observation text) based on input information in a format compliant with MLIT systems and guidelines.
In practical operations verification conducted with multiple municipalities and construction consultants from December 2025 to March 2026, it was confirmed that utilizing this service can reduce the working time required for diagnostic tasks by up to 80%. Additionally, it is highly evaluated for allowing even inexperienced engineers to execute tasks while checking the draft diagnosis reports and rationales presented by the AI.
2. Pricing
Individual estimates will be provided depending on the target scope and bridge type. Please contact us below.
Service Inquiries: bridge-sales@ntt.com
3. Sales Start Date
April 23, 2026
4. Product Website
https://www.nttcom.co.jp/smtech/sdf/#trafic
## Roles of Each Company
- NTT Docomo Solutions: Service planning, system development, and operation of Bridge Assessor.
- NTT Docomo: AI agent technology development for Bridge Assessor.
- NTT Docomo Business: Sales of Bridge Assessor.
- Mizota Design Office: Provision of bridge maintenance knowledge, diagnostic know-how, and sales agency.
Moving forward, the four companies will deploy this service primarily to construction consultants and private bridge managers who conduct regular bridge inspection tasks, contributing to the realization of sustainable infrastructure maintenance and management.
*1 Based on the results of practical operations verification conducted with municipalities and construction consultants from December 2025 to March 2026. The effect of reducing working hours varies depending on the usage environment and conditions.
*2 Ministry of Land, Infrastructure, Transport and Tourism: 'Current Status and Future of Social Infrastructure Aging'
https://www.mlit.go.jp/sogoseisaku/maintenance/02research/02_01.html
* The name and icon for 'Bridge Assessor' are currently pending trademark registration by NTT Docomo Solutions, Inc.
[Attachment]
'Bridge Assessor' Service Details
1. Overview
Generative AI technology and RAG (Re...