BEIJING, Sept. 12, 2024 (GLOBE NEWSWIRE) -- Luokung Technology Corp. (NASDAQ: LKCO) (“Luokung,” “we,” “our” or the “Company”), a British Virgin Islands company, reported that it expects to implement a 8-to-1 share combination on its ordinary shares effective Tuesday, September 17, 2024, with trading to begin on a split-adjusted basis at the market open on that day. Trading in the ordinary shares will continue on the Nasdaq Capital Market under the symbol “LKCO”. The new CUSIP number for the ordinary shares following the share combination is G56981 114.
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Internet Content & Information Industry | Communication Services Sector | Mr. Xuesong Song CEO | NASDAQ (CM) Exchange | G56981106 Cusip |
CN Country | 375 Employees | - Last Dividend | 22 Mar 2023 Last Split | 23 Aug 2018 IPO Date |
Luokung Technology Corp., headquartered in Beijing, China, is a key player in the provision of location-based services and mobile application products tailored for long-distance rail travelers within the People’s Republic of China. Since its inception in 2009, the company has broadened its offerings to include a variety of business-to-customer (B2C), business-to-business (B2B), and business-to-government (B2G) services, focusing on the development and implementation of groundbreaking spatial-temporal big data processing technologies. Through its innovative approach, Luokung Technology Corp. aims to integrate and analyze large volumes of data related to location and time, facilitating various services from travel assistance to complex data processing for businesses and governmental bodies.
Provides B2C location-based services, designed to enhance the travel experience for long-distance rail travelers in China by offering essential travel information, services, and recommendations directly to their smartphones.
Offers both B2B and B2G services, focusing on the processing of spatial-temporal big data. This powerful backbone supports industries and government entities in managing and interpreting vast amounts of data related to spatial and temporal variables for various purposes, including planning, analytics, and decision-making processes.
Enable software and mobile application developers to integrate spatial-temporal big data analysis and customized maps into their applications. These tools are essential for developers looking to harness complex data and provide enriched, location-aware experiences to users.
A cutting-edge data-level virtualization technology that offers businesses and governments the ability to efficiently store, manage, and analyze spatial-temporal big data in the cloud. This service simplifies the complex task of handling large datasets characterized by their spatial and temporal elements.
Incorporates a server engine for storing, managing, and indexing spatial-temporal big data on the server side, alongside a Web graphics image engine. This service is crucial for transmitting graphic images and supporting display and edge computing across multiple terminals and platforms, facilitating a broad range of applications from web mapping to advanced analytics.
Provides comprehensive cloud services that support users in aggregating multi-source spatial data, map services, and Internet of Things (IoT) streaming data. It offers an infrastructural basis for the development of smart transportation systems, autonomous driving technologies, and the advancement of smart cities by enabling efficient data storage, resource management, and platform support services.
An essential infrastructural component in the realms of smart transportation, autonomous driving, and smart cities. HD Map provides highly detailed and precise mapping data necessary for the operation of autonomous vehicles and the development of advanced urban planning and management strategies.
Supports the evolution of autonomous driving technologies through the provision of critical data and analytics services. By leveraging its advanced spatial-temporal data processing capabilities, Luokung facilitates the integration and analysis of key information necessary for the development, testing, and deployment of autonomous driving systems.