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]

Core Viewpoint - GIBO Holdings Ltd. is advancing its AI aviation roadmap by expanding the GIBO.ai Calculation Engine to provide AI-powered aerial intelligence and data analytics services for various markets, including commercial, industrial, and sustainability-focused sectors [1]. Group 1: AI-Powered Aerial Intelligence - GIBO is transitioning aerial systems into data-generating intelligence assets that can produce valuable insights for infrastructure planning, environmental assessment, energy optimization, and ESG-driven decision-making [2]. - The GIBO.ai Calculation Engine transforms vast volumes of real-time data from modern eVTOL aircraft into structured, actionable intelligence applicable across multiple industries [3][5]. - Aerial vehicles are being utilized not just for mobility but as intelligent data nodes that continuously capture and analyze information, providing ongoing analytical value beyond individual missions [4]. Group 2: Applications and Use Cases - The AI-driven outputs from the GIBO.ai Calculation Engine support various applications, including infrastructure inspection, energy asset monitoring, geological assessment, environmental impact analysis, and site-planning optimization, enhancing visibility into traditionally challenging environments [6]. - A significant focus is placed on sustainability and environmental performance measurement, allowing organizations to quantify environmental conditions and monitor changes over time with data-driven confidence [7][8]. Group 3: Scalability and Integration - The aerial intelligence services enabled by GIBO.ai are designed to scale across multiple sectors, including energy infrastructure, environmental services, logistics planning, smart-city development, and future mobility ecosystems [10]. - This data-centric approach aligns with GIBO's broader vision of integrating AI across air and ground mobility systems, creating a unified intelligence framework that connects transportation, infrastructure, and sustainability analytics [11].