GIBO Holdings Announces Strategic Collaboration with Japan Benling Zhushi Clubs Limited
GIBO Holdings announced a strategic collaboration with Japan Benling Zhushi Clubs Limited, marking a major step in the advancement of next-generation manned electric vertical takeoff and landing aircraft enhanced with GIBO's advanced artificial intelligence technologies. The partnership focuses on developing an intelligent aviation platform capable of supporting disaster investigation, search-and-rescue missions in difficult-to-access terrain, geological and mining exploration, and critical operations in remote or hazardous environments. Central to the collaboration is the co-development and training of sophisticated AI compute models designed specifically for manned eVTOL systems. These AI models will power high-precision autonomous assistance, complex environmental perception, structural hazard interpretation, geospatial mapping, and real-time situational analysis. By combining GIBO's AI computation engine and autonomous sensing algorithms with Japan Benling Zhushi Clubs Limited's engineering expertise in lightweight aviation structures, electric propulsion technology, and compact aircraft system design, both companies aim to create a new class of intelligent eVTOL aircraft optimized for high-risk, mission-critical operations. Both companies plan to expand co-development activities across Japan, Southeast Asia, and additional international markets, working closely with agencies and industry partners involved in emergency response, geological and mining assessment, fire and rescue operations, utility and infrastructure monitoring, environmental protection, and security. As the collaboration matures, GIBO and Japan Benling Zhushi Clubs Limited also intend to explore further applications in urban air mobility, autonomous aerial logistics, cross-border operational coordination, and AI-enhanced aviation robotics.
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- Data Flow Integration: The GIBO.ai platform treats mobility intelligence as a continuous data flow, facilitating data exchange between electric motorbikes, aerial platforms, and logistics networks, thereby enhancing inter-system collaboration and transforming mobility methods.
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- Scalability and Responsibility: GIBO emphasizes the scalability and transparency of intelligent systems, with GIBO.ai serving as a centralized intelligence layer that supports the gradual evolution of mobility ecosystems, ensuring that the integration of new platforms and technologies does not disrupt existing architectures, thereby enhancing long-term adaptability.
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- Cross-Domain Intelligence Integration: The new framework integrates AI functions across EV motorbikes, eVTOL platforms, and logistics networks, enabling different mobility assets to share intelligence and coordinate actions, thereby improving operational efficiency and safety.
- Sustainability Focus: The GIBO.ai framework embeds sustainability metrics to ensure that autonomous systems prioritize carbon reduction and resource stewardship while optimizing for speed and efficiency, aligning with global green economy objectives.
- Foundation for Future Infrastructure: This advancement lays the groundwork for the future of smart mobility, logistics, and urban infrastructure, with expectations to support applications like intelligent fleet coordination and automated logistics, driving the industry towards greater efficiency and sustainability.









