(BNP) – On the afternoon of July 9, Vice Chairman of the Bac Ninh Provincial People’s Committee Le Xuan Loi chaired a working session with Japan’s Spectee Inc. to discuss a pilot project on an AI-powered platform for natural disaster information management and flood forecasting.
Vice Chairman Le Xuan Loi chairs a working session with Spectee Company on piloting an AI platform for early warning of natural disasters and flood forecasting.
The meeting was attended by representatives of the Provincial People’s Committee Office and the Departments of Agriculture and Environment, Science and Technology, and Finance. Spectee was represented by its Chief Operating Officer, Mr. Negoro Satosi, and project specialist Ms. Tran Thi My Hanh.
Headquartered in Tokyo, Spectee is a technology company specializing in disaster prevention and crisis management, with solutions designed to visualize and analyze emergency situations through artificial intelligence and real-time data.
Representatives from Spectee introduces the Spectee Pro platform, which applies AI in disaster information management and flood forecasting.
At the meeting, Spectee introduced Spectee Pro, an AI-powered disaster information management platform capable of collecting, analyzing, and visualizing data from multiple sources, including social media, weather information, traffic systems, surveillance cameras, satellites, IoT devices, and drones. Combining AI-based image and natural language analysis with human verification, the platform filters information, minimizes misinformation, delivers timely alerts, and supports authorities in making real-time decisions during emergencies.
According to the company, the Vietnamese version of Spectee Pro is scheduled for launch in July 2026 and will be provided free of charge for pilot implementation through the end of March 2027. The platform integrates AI-based river level forecasting with physics-based flood simulation models to help identify flood risks, predict inundation areas, and forecast flood developments, thereby supporting command and decision-making in disaster prevention and control.
During the pilot phase, local authorities will not be required to invest in additional infrastructure or equipment. Instead, users will be provided with system accounts to monitor information and receive early warnings. The platform is expected to support digital transformation in disaster management by enabling centralized data management and faster, more accurate, and more effective early warning.
Speaking at the meeting, Vice Chairman Le Xuan Loi welcomed Spectee’s proposal to pilot the AI-powered disaster information and flood forecasting platform, describing it as a practical solution that could significantly enhance early warning capacity, strengthen disaster response, and better protect people's lives and property.
Vice Chairman Le Xuan Loi discusses with representatives of Spectee Company about the direction of coordinating research to pilot a natural disaster early warning platform.
He assigned the Department of Agriculture and Environment to take the lead in assessing the necessity and effectiveness of the proposed system, while monitoring discussions between Spectee and the Department of Dike Management and Disaster Prevention and Control to advise the provincial authorities. The Department of Science and Technology was tasked with studying the platform’s integration with the province’s digital infrastructure and assessing its contribution to the local digital transformation agenda.
Meanwhile, the Department of Finance, in coordination with the Provincial People’s Committee Office, was requested to study mechanisms and policies related to service pricing and payment, while reviewing experiences from other localities implementing similar models to develop an appropriate implementation plan following the pilot phase.
Vice Chairman Le Xuan Loi also requested Spectee to promptly update the province on the outcomes of its working sessions with the Department of Dike Management and Disaster Prevention and Control. Based on these results, both sides will continue to refine the implementation plan to ensure seamless integration of the early warning system from the central to local levels, meeting the requirements of digital transformation in disaster prevention and control.
