eLAND specializes in intelligent data enriched with AI analysis, offering solutions through a Software as a Service (SaaS) model. Our product series are as listed below. Cloud Services, including OpView—the largest social listening platform offering business insights in Taiwan; PeopleView—describing the target market with AI while enhancing value of the customer database; and ECView, which monitors products in real-time across global e-commerce websites. For Intelligent Data Solutions, we tailor AI to diverse business needs. This includes AI Search for EC, the next-generation search engine and tagging system specifically designed for e-commerce, and AI Search for KM, which Integrates generative AI, search engine, and NLP technologies to deliver knowledge search and knowledge QA services. Within the Search Engine and NLP, our in-house technology excels in processing billions of unstructured data while maintaining exceptional efficiency, to fulfill customer's needs in digital era.

The cleaner the sorting of recyclables in the resource circulation process, the higher their reusable value. We leverage the most advanced AI vision recognition technology to introduce innovative applications into existing production lines. Our systems automatically inspect the targets to ensure the purity of sorting, thereby increasing the reusable value and maximizing profits for the factories. By collecting and training with actual production line image data, we continuously update the dataset to handle various compositions of recyclables. Our vision recognition equipment features low-power hardware that can be easily and simply installed onto existing production lines. Additionally, we can create diverse labeling data for various recyclables.

Applying our technologies portfolio to IoT system, we expand the diverse solutions with hardware, software and cloud services to custom reliable and cost-effective applications to incubate smart parks.

The Administration for Digital Industries(ADI) is actively promoting the use of data from Civil IoT Taiwan and integrating it with other public and private sector data to develop data-driven applications and IoT solutions with commercial value. ADI assists businesses in securing international orders, achieving a total of NT$12.6 billion in revenue.

LiftMind is a non-invasive AIoT elevator add-on system that enables rapid upgrades to smart functionality without modifying existing elevator control systems. The system leverages advanced external sensors and AI technology to deliver features such as passenger flow monitoring, emergency incident alerts, user behavior analysis, elevator operation optimization, and enhanced, user-friendly riding experiences. Its open architecture seamlessly integrates with Building Management Systems (BMS) and other IoT devices, significantly improving elevator management efficiency and user satisfaction. LiftMind supports a wide range of elevator brands and models, offering flexible adaptability to various application scenarios, making it the ideal solution for smart building upgrades.

AQUAS Solution of high cost-effective smart monitoring for effluent water quality and flow volume. We provide an excellent product portfolio, including multiparameter water quality controllers, radar flow meters, and water quality analyzers, which can accurately and stably monitor the quality and flow of the effluent in the long term. Ensure the water quality compliance with the regulations and standards to reduce environmental pollution.

NCREE has developed a Hybrid earthquake early warning system (EEWS) by integrating on-site EEWS from NCREE and regional EEWS from Central Weather Administration (CWA). Within a 10 to 100-kilometer radius from the earthquake epicenter in the local region, this system can provide 3 to 15 seconds of warning time. To achieve effective alerts with the available warning time, the utilization of a Hybrid EEWS cloud platform is crucial. This platform facilitates the transmission of alerts and the affected administrative regions to various industries. Industries, in turn, leverage these alerts to develop warning systems and automated control devices tailored to meet the specific requirements of different environments. This approach aims to minimize secondary damages resulting from earthquakes, transforming EEWS beyond being notifications received Presidential Alert on mobile phones. Instead, it offers a multi-faceted alerting and disaster reduction application system tailored to different environmental settings.

MIRDC’s continuously Rotating Wind Turbine UAV Inspection System can effectively inspect the working wind turbine without interference. It takes 5 minutes to complete the inspection of a single blade to effectively detect 4mm small cracks. The system will not lose power generation by turning off the wind turbine, further observes the actual movement status of running blade structure and pillars to grasp the defects beforehand.

Vertex’s team members have 25 years of experience in the mobile communication industry, and have a strong 5G mobile communication network technical team to provide E2E complete 5G private network construction services and solution, including: private network planning, private network application assistance, PN installation and construction, vertical application integration service, and system maintenance, etc. We also have consulting capabilities to assist customers in various industries to quickly import 5G private networks and related applications to increase corporate value. At present, it has experience in the actual construction of multiple 5G private networks, such as smart exhibitions Events and smart factories. Smart transportation, construction R&D, ORAN interface services, etc., can ensure the success of the project and implement the enterprise's goal of building a 5G private network.

In response to the implementation of Taiwan's carbon fee and the ESG-driven carbon reduction requirements of enterprises, we offer customized carbon management services. ESL establishes "Carbon Accounts" based on client-specific requirements, utilizing automated systems to collect and analyze carbon emission data via an integrated platform. This service provides optimization opportunities, balances the economic advantages of carbon management, and maximizes the value of corporate sustainability and green transformation initiatives.

Handling abnormal complaints requires extensive experience and expertise. However, the resignation or retirement of senior employees often leads to knowledge loss, impacting organizational efficiency and competitiveness. Through vector models, Morale AI transforms unstructured data (such as emails, PDFs, and Word documents) into structured data and integrates it into databases, enhancing data usability. Multi-modal models combine diverse data types, including text and images, to systematically record and preserve experience. By leveraging Retrieval-Augmented Generation (RAG) technology and similarity search, the model can accurately categorize issues, identify the root causes, and recommend relevant cases, significantly reducing manual processing time and error rates. This systematic approach not only enhances response efficiency and enables real-time analysis and resolution of customer issues but also reduces repetitive work for employees, improving overall productivity and customer satisfaction.

RiChitech has pioneered integrating generative AI models with GIS drawing technology, developing the generative smart map drawing module—geoAI Maker. This module is designed for users with many spatial description documents and graphic information but cannot identify locations and create maps. geoAI Maker can automatically recognize text and images, parse various types of spatial descriptions (such as addresses, landmarks, and range information), and further convert the content into GIS spatial coordinates, automatically generating vector maps. This process fully leverages the powerful capabilities of generative AI, allowing users to immediately utilize advanced analysis and visualization displays, helping various industries solve and accelerate the processing of spatial data.