GIBO Advances Toward Integrated Autonomous Mobility Systems, Building a Unified AI Stack Across Air and Ground Platforms

Core Insights - GIBO Holdings Ltd. is advancing its AI mobility roadmap with the GIBO.ai Calculation Engine, aiming for a unified intelligence stack for autonomous air and ground mobility systems [1][9] - The company is extending its AI-powered aerial intelligence services to integrate deeper with electric vehicles (EVs), logistics networks, and future autonomous applications [2] Group 1: AI Mobility Development - GIBO.ai aims to unify perception, decision-making, and execution layers into a single AI stack, supporting progressive autonomy across various mobility domains [3] - The platform allows for a staged evolution of autonomy, transitioning from assisted operation to higher levels of autonomy through continuous learning and real-world feedback [4] Group 2: Unified AI Stack - The GIBO.ai Calculation Engine integrates core AI functions such as perception, navigation, and mission planning, standardizing capabilities across aerial and ground platforms [5] - This unified approach enables mobility assets to share intelligence and adapt to environmental conditions, creating a cohesive intelligent mobility network [6] Group 3: Safety and Sustainability - The initiative focuses on enhancing safety, efficiency, and sustainability in autonomous systems, evaluating performance and environmental conditions for intelligent decision-making [7] - By embedding sustainability metrics into AI decision loops, GIBO aims to optimize for carbon reduction and resource stewardship, aligning with green-economy objectives [8] Group 4: Future of Smart Mobility - GIBO.ai is positioned as a horizontal AI platform for smart mobility, logistics, and urban infrastructure, supporting applications like intelligent fleet coordination and automated logistics [10] - The company is building foundational infrastructure for seamless and responsible mobility systems that harmonize with the global green economy [11]