Japan Government's 17 Priority Areas Response: Launching 'AI DisasterRecovery on IDX' to Innovate Disaster Recovery and National Resilience!

AI Data Inc. (Head Office: Minato-ku, Tokyo; Representative Director & President: Takani Sasaki; hereinafter referred to as AI Data) has commenced the provision of "AI DisasterRecovery on IDX," an integrated knowledge base utilizing generative AI specialized for disaster recovery, disaster mitigation, and national land management, within the "Disaster Prevention/National Resilience" domain among the Japanese government's 17 priority areas.

AI DisasterRecovery on IDX is an industry-specific AI platform that integrates and structures vast disaster prevention data and knowledge spanning multiple fields such as meteorology, rivers, earthquakes, landslides, infrastructure inspections, evacuation shelters, and local government plans. It comprehensively supports innovation in initial response speed during disasters, immediate generation of recovery plans, and standardization of responses among local governments.

▼ AI DisasterRecovery on IDX: AI Platform Specialized for Disaster Recovery ■ Background: Structural Challenges in Initial Response and National Land Management in Disaster-Prone Japan Japan is a country with exceptionally high natural disaster risks, including earthquakes, typhoons, heavy rains, floods, and landslides. However, the biggest challenge during disasters is the "slowness of initial response." Through the government's Basic Plan for National Resilience and disaster prevention DX promotion measures, digitalization and response standardization have been positioned as important issues.

On the other hand, the following issues are becoming more serious in the field: • Confirmation of damage status takes several days to weeks, significantly delaying recovery. • Initial response is personalized due to a shortage of personnel for on-site surveys and difficulty accessing dangerous areas. • Response formats differ by local government, delaying coordination with the national government and other organizations. • Disaster response know-how depends on veteran staff, leading to decreased disaster prevention capabilities upon their retirement or transfer. • The overall picture of aging infrastructure cannot be grasped, making it difficult to optimize investment priorities. • Information on weather, rivers, earthquakes, evacuation shelters, infrastructure, etc., is fragmented among organizations, preventing integrated decision-making. AI Data Inc. developed AI DisasterRecovery on IDX to solve these structural challenges. ■ Main Features of AI DisasterRecovery on IDX 1. Damage Diagnosis Support AI Quickly organizes on-site information to aid decision-making. ・Tagging and immediate classification/search of images taken by CCTV or drones.

・Cross-referencing with past disaster data using a RAG foundation to present similar cases and response examples.

・Centralized management of information gathered from the field, organized to easily grasp the overall picture of damage.

2. Damage Report Generation AI Significantly reduces time spent on report creation. ・Automatic summarization and analysis of text data collected during on-site surveys.

・Immediate generation of draft damage reports based on collected data.

・Staff only need to review and modify. Significantly reduces workload.

3. Recovery Plan Creation Support AI AI proposes "what to do and in what order." ・Generates plans including recovery priorities for lifelines such as electricity, water, and communication.

・Estimates required personnel and materials, automatically creating justification documents for support requests.

・Immediate output of support request documents to national and prefectural governments in a standardized format.

4. AI for Generating Standard Documents for Local Governments Ensures the same quality of response for any local government nationwide. ・Assists in creating damage situation reports in a unified format.

・Automatically generates explanatory materials for residents and consensus-building documents.

・Can also be used for regular disaster drills scenarios and anticipated Q&A.

Utilization Use Cases - Speeding up and standardizing initial disaster response in prefectures and municipalities Integrates past disaster response records, damage reports, and recovery plans into a knowledge team drive, enabling immediate search for similar cases, automatic reference to standard templates, and support for generating request documents during disasters. Provides a responsive foundation for local governments with limited disaster experience. - Management of aging infrastructure and determination of recovery priorities for road, bridge, water, sewage, electricity, and communication infrastructure companies Supports cross-searching and comparative analysis of inspection records, maintenance ledgers, and past damage data using AI Koumei, identifying areas with high aging risk and providing reference information for recovery priority decisions. - Strengthening national risk assessment and proposal capabilities for general contractors and construction companies Knowledge creation from past disaster examples, regional risk information, and construction records is utilized for creating proposal materials for clients and generating risk assessment reports. Enhances the decision-making speed and proposal quality of engineers. - As an operational base directly linking field data to decision-making Field reports and observation logs collected from drones, satellites, and sensors are uploaded to IDX. Through AI Koumei's summarization, comparison, and visualization of relationships, it functions as a knowledge base for rapidly utilizing field data for decision-making. - Utilization of training scenarios and case studies in disaster education institutions and research institutions Past disaster response examples, recovery processes, and lessons learned are accumulated in a knowledge team drive, used for searching and generating training scenarios, and comparative analysis of case studies. Supports practical disaster education and research activities.--- ■ Future Outlook Through AI DisasterRecovery on IDX, AI Data Inc. aims to establish itself as the national standard AI for disaster prevention and national resilience in Japan. Moving forward, the company plans to: • Standardize local government platforms : Establish digital standards for disaster response by rolling out nationwide to all local governments. • Enhance wide-area evacuation simulations : Expand evacuation design functions integrating traffic congestion prediction, alternative routes, and routes for individuals requiring assistance. • Collaboration with Tokkyo.AI : Strengthen intellectual property competitiveness through patents and standardization in the fields of disaster prevention AI, IoT, sensors, and drones. • International Expansion : Export as a Japanese solution to disaster-prone regions (ASEAN, South America, etc.). By pursuing these initiatives, we will contribute to the construction of a social infrastructure that "protects lives that should be protected." ▼▼▼ See it in Video ▼▼▼ AI Koumei on IDX × Tokkyo.AI, Regaining National Competitiveness Japan's 17 Growth Strategy Areas: Disaster Prevention, Mitigation, and National Resilience Edition https://youtu.be/nMHCY0PlzLA ■ About AI Data Inc. Name: AI Data Inc. Establishment: April 2015 Capital: 100 million yen (1.525 billion yen in capital reserve) Representative Director & President: Takani Sasaki Location: 4F, Metro City Kamiya-cho Building, 5-1-5 Toranomon, Minato-ku, Tokyo URL: https://www.aidata.co.jp/ AI Data Inc., based on data infrastructure and IP infrastructure, has been developing businesses to protect and utilize data assets of companies and individuals for over 20 years. Trusted by over 10,000 companies and over 1 million customers, it has won the No. 1 sales volume for 17 consecutive years at the BCN Award for its "Data Ecosystem Business," which comprehensively covers data sharing, backup, recovery, migration, and deletion. In data infrastructure, in addition to providing IDX cloud data management and recovery services, the company has also received high praise in the legal field through forensic investigation and evidence disclosure services that received the Minister of Economy, Trade and Industry Award. On the other hand, in IP infrastructure, the company supports IP management and monetization by building its group company's patent search and application support system "Tokkyo.Ai" and an IP marketplace that enables patent trading. By integrating these, it deploys a platform that fuses data and IP through generative AI "AI Koumei." Furthermore, by focusing on nurturing young engineers in collaboration with the Ministry of Defense, the company contributes to strengthening social infrastructure through data management and IP protection.