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The future of hardware interfaces is being redefined by this patented polymer-based platform technology, which features innovative design interactions, unique technology, lower costs, reduced size and weight, and enhanced sustainability. This patented touch-sensitive technology enables innovative solutions using conductive polymeric materials, interpreting touch location, gestures, and pressure through signal processing and machine learning. This solution simplifies manufacturing, boosts durability and sustainability, and saves clients at least 20% compared to traditional costs. Creating advanced, cost-effective touch interfaces is challenging due to traditional buttons and multiple sensors. The solution simplifies this with a single flexible touch-sensitive material and AI algorithms, which precisely detect touch interactions on large surfaces. This approach offers clients customizable 3D interfaces, reduces component failure, enhances sustainability, and enables easy recycling. Customizable Sensors: Create sensors with industrial-grade plastic materials, giving manufacturers full control over design and styling. Cost Efficiency: Reduce assembly process costs by two-thirds by eliminating the need for printed metallic discrete sensor networks. 3D Seamless Surfaces: Produce waterproof, durable, 3D seamless surfaces that offer more intuitive operation. Versatile Integration: Work with various 'A' surfaces (wood, fabric, stone, glass) using their proprietary polymer-based sensing layer. Current industries: Automotive/Mobility Medical/Sport Consumer Electronics The technology enables applications such as: Making appliances and surfaces smart with appealing finishes Enhancing tactile gaming and VR controllers Creating pressure mapping surfaces and medical devices that monitor user behaviors Developing ergonomic, user-friendly consumer products accessible to the disabled, visually impaired, elderly, and children. Current market solutions, such as printed electronics, mechanical switches, mechatronic switches, and in-mold electronics, have clear limitations that the proposed solution addresses effectively. Core Benefit Areas: Cost reduction on the usual bill of materials Increased design form and interaction options (sensify new shapes) Increased sustainability Waterproofing Durability Reduced device size, weight, and component complexity The proposed solution offers significant improvements over mechatronic switches in several areas: complexity, cost, power consumption, reliability, maintenance, latency, environmental sensitivity, customization, design constraints, compatibility, cost of repair, and noise. Electronics, Sensors & Instrumentation, Infocomm, Augmented Reality, Virtual Reality & Computer-Simulated Environments, Artificial Intelligence, Healthcare, Medical Devices, Robotics & Automation

Strongly corrosive acids and highly toxic cyanide-based solutions are currently the most commonly used lixiviants for extraction of silver from solid wastes through hydrometallurgy. While acids are generally able to achieve high extraction of silver, it is non-selective and leaches most of the other metals present, resulting in a complex mixture that needs rigorous segregation and purification downstream. Cyanide solutions are comparatively more selective towards silver but require costly safety infrastructure and measures to be put in place as they generate large amount of hazardous wastes.          The lixiviant developed offers a more user and environmentally friendly means to efficiently extract silver selectively from silver-coated solid waste. The formulation is free of cyanide and omits the use of any strong acids, making it relatively easy to handle and eliminates the safety, health and environmental problems associated with the use and post-treatment of conventional lixiviants, as the waste stream is mildly acidic and can be easily treated as normal acid waste. The raw chemical materials are also easily available in the market. The technology provider is seeking industry partners to test-bed the lixiviant and is open to license the technology to interested partners. Free of cyanide Contains low concentrations of organic acids and no strong acids Non-fuming and extracts under mild temperatures ≤ 40°C Contains stabilisers to reduce reagent consumption Allows high purity silver to be recovered from the leachate by conventional means such as precipitation & reduction ≥97 wt.% of silver extracted with saturation concentration of >10 g/L at 40°C Extraction is fairly selective, with silver constituting a major 85 – 98% of the metals leached This technology can be applied for extraction of silver from: Electronic wastes, such as printed circuit boards, connectors, lead frames etc. Industrial wastes, such as photographic films, solar panel wafer etc.  Recovered silver can be sold or recycled for other uses. Silver is widely used in the manufacture of numerous products such as electrical and electronic devices, photovoltaics (PV) modules, solders, photographic films and jewelleries. The demand for silver is forecasted to grow with its use in 5G-infrastructure and upcoming intelligent electronics, as well as in PV modules as more countries adopt renewable energy to counter climate change.     To meet the increasing demand for silver, recycling from secondary sources such as electronics and industrial wastes is essential. Increasing regulations put up worldwide that mandate the recycling of electronic wastes, accounts for the bulk of secondary sources of silver. Hydrometallurgy offers a way to recycle silver at a relatively low cost and smaller scale. With the employment of an effective lixiviant that is able to achieve high and selective extraction of silver from these secondary sources, it ensures that the most value is drawn from them. Additionally, the omission of strong acids and cyanide in the lixiviant eliminate the need for costly safety infrastructure and treatment of toxic waste streams generated.  Lixiviant can be directly employed in existing operating line Works under mild operating conditions Does not generate highly toxic waste streams Recovered silver in high purity Silver-Coated Solid Wastes Chemicals, Organic, Waste Management & Recycling, Industrial Waste Management

In recent years, with the increasing use of the Internet of Things (IoT), the number of information devices, including sensors, has risen significantly. This surge has led to challenges in battery replacement, charging, and power wiring for these devices. To address these issues, there is a growing demand for wireless power transfer technology. Traditional wireless power transfer technologies, such as smartphone charging systems, have primarily focused on supplying power over short distances. This limitation makes them unsuitable for devices installed over wide areas, such as IoT devices. In response, the development of long-distance wireless power transfer technology using microwaves has emerged. However, the amount of power that can be transmitted is constrained due to concerns about the effects of microwaves on human health and other communication devices. The developed microwave power transmission technology can efficiently transmit power using low-power microwaves within regulated limits. This advancement allows the use of devices like sensors as power sources even in environments where people and communication devices are present. The technology owner is seeking collaboration with IoT solution providers, platform providers, system integrators, and sensor manufacturers. The technology consists of a transmitter and multiple receivers. One transmitter can provide power to several receivers over a certain distance. Additional transmitters can be added if the total power demand of the receivers exceeds the limit. It is designed to solve power supply problems for IoT devices by efficiently and stably converting Radio Frequency to DC power. Small and High-Efficiency Reception: Advanced antenna design technology combines compact size with high efficiency, enabling the device to receive even weak microwaves despite its small size. Long-Distance Transfer: Innovative circuit design technology converts low-power microwaves within regulated limits into stable, efficient DC power, allowing the power supply to multiple receiving devices within a range of up to 10 meters. High-Speed Distributed Control: Further technological advancements facilitate the distributed cooperative control of multiple low-power transmitters. This enables the rapid formation of power concentration spots and the ability to follow human movement seamlessly. This technology can serve as a power source for IoT sensors where battery replacement and wiring are challenging. Applications include: Manufacturing Sites: Sensors attached to the moving parts of production equipment and robots. Infrastructure Inspection: Sensors for inspecting infrastructure facilities that are difficult for humans to access. Nursing Care Monitoring: Wearable sensors for monitoring the elderly. Office Environments: Numerous sensors collecting environmental information in office settings. With existing wired IoT sensor deployments, a sizable amount of budget and deployment time is required for installation, cabling, or regular replacement of batteries. This wireless charging technology enables wireless-power sensor deployments, reducing the complexity of wiring infrastructure, deployment time, and associated cabling and labor costs. Compact Design for Versatile Installation: The small size of the receiving devices allows for installation in confined spaces, offering greater flexibility in system design and integration. Efficient Power Distribution: Simultaneous power transmission to multiple receiving devices over a broad area minimizes the need for extensive wiring and frequent battery replacements. Advanced Power Management: Technological advancements in distributed cooperative control enable targeted power delivery to specific devices, making it ideal for applications that require higher power.  Wireless Power Transfer (WPT), Microwave Wireless Power Supply, Wireless Charger, Power transmitter & Power Receiver, IoT Sensors and Sensor Network Electronics, Power Management, Green Building, Indoor Environment Quality, Infocomm, Internet of Things, Wireless Technology

Quality sleep is vital for overall health, impacting everything from cognitive function to physical well-being. It supports memory, mood, and immune function, while reducing the risk of chronic diseases. In contrast, poor sleep leads to fatigue, impaired judgment, and a higher risk of illness, underscoring the need for uninterrupted, restful sleep for daily function and long-term health. Current medical devices and surgical options for snoring reduction, like CPAP machines, Mandibular Advancement Devices (MADs), Radiofrequency Ablation (RFA), Uvulopalatopharyngoplasty (UPPP), offers varying levels of effectiveness but often come with drawbacks. While CPAP and MADs are non-surgical, they can be uncomfortable, leading to poor patient adherence due to issues such as mask discomfort or jaw pain. Surgical options vary in invasiveness and come with potential complications, often resulting in low patient compliance. This highlights the need for more comfortable, less invasive alternatives. This patented magnetic interference technology reduces or eliminates the physical discomfort, and/or risks associated with current methods. The technology enhances blood circulation, leading to improved sleep quality. By addressing the relaxation of the palate muscle, which can obstruct the airway during sleep, this technology effectively tackles the root cause of snoring. Integrated into a pillow or other forms, it boosts blood flow to the palate muscle, helping to tone it and prevent it from collapsing during sleep. The technology owner is open to develop and test-bed new use cases in various industries such as wellness, sports-wear, furniture design and producers, hotels, airlines, hospitals and sleep clinics. This technology generates a unique magnetic interference cloud that differs from conventional magnets as it enhances the cohesion of liquid molecules and tones the blood vessels, increasing the tension in arterial walls to improve targeted blood circulation and allow easier breathing. Blood Oxygen Saturation: Promotes optimal blood oxygen saturation levels, typically within 3 to 6 hours of sleep, maintaining it at higher levels compared to non-users. Improved Breathing: Prevents the palate muscles from collapsing during sleep, keeping the airway open throughout the night. This toning and enlarging of airway muscles boosts oxygen exchange and helps blood oxygen levels peak in half the usual time, resulting in reduction in frequency of breathing pauses as demonstrated through polysomnography tests. This platform technology is designed to improve blood circulation, has a wide range of applications across various industries: Wellness Industry: Improves snoring and overall sleep quality Travel Industry: Promotes quality rest, reduces snoring and mitigates the effect of jetlag Medical Industry: Offers potential management for sleep apnea (requires further clinical validations) This technology can also be explored in parallel verticals such as: Sports Industry: Enhances athletic performance and aids in recovery Technology can be incorporated into wearables for sleep/sports related accessories without maintenance throughout its useful life. As a sleep tech, it helps to reduce snoring and improve sleep quality in a comfortable way without the need for intrusive aids such as a nasal mask, mouth pieces or oral appliances to manage the problem. Reducing Snoring, Sleep Apnea, Sleep Tech, Blood Circulation, Health and Wellness, Sleep Quality Personal Care, Wellness & Spa, Healthcare, Medical Devices

Stroke is the second leading cause of death worldwide and in Asia. 85% of stroke patients suffer from cerebral infarction, where blood clots accumulate in brain blood vessels and prevent blood from flowing smoothly. Accurate diagnosis is crucial, and while MRI (magnetic resonance imaging) and MRA (magnetic resonance angiography) scans are essential tools, they fall short by not providing vital blood flow data. This limitation can lead to challenges in both diagnosis and treatment planning. The cerebral blood flow assessment solution provides detailed information about blood vessels and quantitative data on CBF (Cerebral Blood Flow) in a non-invasive way. It allows a precise and straightforward evaluation of cerebrovascular conditions, reducing the need for physicians to rely on invasive procedures and helping them optimize personalized treatment strategies for patients. As the global population ages and the incidence of stroke increases, the demand for more healthcare solutions is also growing. The cerebral blood flow assessment solution provides quantitative flow data, allowing faster and more precise decision making to complement coventional methods of making treatment decisions based on basic medical imaging. Ideal collaboration partners in the value chain include medical institutions, which provide imaging data and clinical context, and with medical device manufacturers that specialize in MR and CT imaging devices. The cerebral blood flow assessments solution is offered in the form of AI software. 1) 3D Reconstruction: Based on medical imaging data (MR or CT scans), the software reconstructs detailed 3D models of brain tissue and blood vessels using AI algorithms. This enables precise visualization of the brain's structural anatomy. 2) Cerebral Blood Flow Analysis: The software calculates and analyzes cerebral blood flow data, including velocity and pressure. AI algorithms provide comprehensive insights into the hemodynamic characteristics of cerebral circulation. These capabilities allow medical professionals to make more accurate diagnoses and develop precise surgical plans based on visualized and quantified cerebral blood flow data. The solution can be deployed primarily in the medical and healthcare industry, specifically within the fields of neurosurgery, neurology, and radiology. 1) Diagnostic Imaging: It can be used to enhance diagnostic imaging by providing detailed 3D reconstructions of brain structures and blood vessels. This allows for more accurate diagnosis of cerebrovascular diseases, tumors, and other disorders. 2) Preoperative Planning: Neurosurgeons can use the solution to visualize and analyze cerebral blood flow dynamics, aiding in the planning and execution of neurosurgical procedures. 3) Post Management: Physicians can efficiently track and manage the patients' condition after the surgery. The global market for cerebrovascular diseases, including stroke, is both substantial and expanding. As of 2022, the market size for stroke management and cerebrovascular disease treatment was estimated at approximately $40 billion. This market encompasses a wide array of products and services, including diagnostic imaging, therapeutic interventions, and post-treatment management. Driven by an aging population, the rising prevalence of stroke, and ongoing technological advancements, the market is projected to grow at a CAGR of around 7% over the next five years. The unique value proposition of this technology lies in its ability to effortlessly deliver detailed blood flow data that traditional medical imaging methods cannot provide. By integrating AI-powered 3D reconstruction with dynamic blood flow analysis, the solution offers comprehensive insights and exceptional precision in diagnosing and managing cerebrovascular conditions. This represents a major leap forward compared to existing imaging technologies, which often fail to capture critical blood flow metrics. Neuroimaging, Stroke, Cerebral Blood Flow, Brain Healthcare, Diagnostics, Medical Devices, Telehealth, Medical Software & Imaging, Infocomm, Computer Simulation & Modeling

Leaks in water pipelines are a common problem for utility companies. In the utility sector, the term “real losses” refers to actual physical water leaks that occurs on transmission and distribution mains, leakage and overflow at utility storage tanks and leakage on service connections up to the water meter. These non-revenue water losses cause a significant economic loss even to some of the most well-managed water distribution systems in the world. To manage and reduce water loss, utility companies carry out preventive maintenance, perform active water network monitoring by using noise loggers, smart meters, flow/pressure meters to collect useful data. Another proactive approach is to employ state of the art leak detection and localisation technologies such as acoustic leak detection (hydrophones), accelerometers, or the use of robots/endoscopes. Such approaches often face the challenges of false alarms, inaccurate leak pinpointing, limited exploration range and high cost of long-term monitoring. Developed by a South Korea-based startup, the proposed technology herein relates to an AI-aided exploration robot for underground/buried pipeline diagnosis for leaks, cracks, corrosion, scale, surface damage and other anomalies using image, audio, pH and LiDAR sensor data. Unlike conventional robots, the exploration robot is designed to be relatively small (smallest being 4.4 cm diameter x 11 cm length) to enable direct inspection of the inside of small diameter water pipelines. Designed to complement hydroacoustic technology, the exploration robot also addresses the current challenge of short explorable distance of about 100 m by offering up to 3 km exploration range. The startup is seeking to work with utilities or companies providing services to utilities to perform trial preferably in Singapore and explore long term collaborations in terms of customising solutions to specific applications, as well as technology licensing and revenue sharing through joint development with Singapore-based partners. Consist of two types of tethered exploration rovers: 1) Small robot equipped with image, sound and pH sensors, and 2) Robot equipped with LiDAR equipment. Designed to navigate bends and angles within pipelines, the robot is capable of inspecting water pipes with diameters ranging from 50 mm to 300 mm. Based on the collected data, the system performs AI-aided diagnosis of anomalies of up to 5 classes, i.e., Normal Pipe, Weld, Corrosion, Scale, and Surface Damage, along with a water pipe deterioration score and recommendation for pipe cleaning and/or replacement cycle. Capability to develop 3D maps based on image and other sensor data to enable digital twin-based asset management solution for the water distribution network and facilities. Utilities or public agencies that operates and maintains the water distribution network. Facilities that are close to its useful life: for early warning / prediction of the cleaning and replacement cycle of pipes. Future development for oil and gas pipelines applications. As of 2018, the global water industry generated about $1087.4 billion, accounting for about $600 billion in capital expenditures and operational expenditures for water and sewage-related facilities. Singapore's smart city and infrastructure management market is growing rapidly, and it is expected to reach billions of dollars by 2025. In particular, the water supply and infrastructure management market constitute a significant portion, estimated at several million to tens of millions of dollars annually. The nationwide water leakage rate in Singapore is around 10%, which is a substantial loss for a small city-state. Efficient and accurate pipeline inspection and maintenance powered by AI image analysis and digital twin. Exploration robots equipped with multiple types of sensors including LiDAR to generate 3D maps, with industry leading exploration range of up to 3 km. AI-driven robot inspects water pipelines in real-time, detecting issues such as leaks, corrosion, and blockages without requiring service interruptions, which ensures a continuous water supply and minimises costly manual inspections. Water pipes, Abnormal signs, Exploratory robot, 3D maps, Digital twin Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

The  Intelligent Document Processing (IDP) technology addresses a significant pain point in the transportation and logistics industries: the manual processing of non-standardized documents. Mid-size companies in these sectors often handle over 25,000 pages of mission-critical documents monthly, including commercial invoices, packing lists, and bills of lading. This manual process is not only labor-intensive and costly—exceeding $1 million annually—but also prone to data entry errors that can result in penalties and further operational inefficiencies. The IDP solution uses Machine Learning, Computer Vision and Natural Language Processing automatically extracts, structures, and validates key information from semi-structured and unstructured documents, significantly reducing the need for human intervention. By automating these processes, companies can achieve up to an 80% reduction in operating costs and a 50% increase in productivity. The system's Generative AI ability to provide structured data also enables better analytics and decision-making, further adding value to the users. Potential adopters of this technology include mid-size logistics companies, freight forwarders, and transportation firms seeking to streamline operations, reduce costs, and improve accuracy in their document management processes. By solving these critical issues, the IP offers a valuable solution in a marketplace urgently needing efficient and scalable document processing tools. The Intelligent Document Processing (IDP) technology consists of several core components: Advanced Optical Character Recognition (OCR) Engine: This component accurately captures text from a variety of document formats, including PDFs, images, and scanned documents, even when they are of poor quality or contain complex layouts. Natural Language Processing (NLP) Algorithms: These algorithms are used to understand and interpret the extracted text, allowing the system to identify and categorize key information such as item descriptions, quantities, prices, and shipping details. Machine Learning Models: The technology uses machine learning to continuously improve its accuracy and efficiency in recognizing and extracting data from semi-structured and unstructured documents. This includes the ability to learn from user corrections and adapt to new document types. Data Validation and Reconciliation Engine: This feature cross-checks extracted data against existing records and databases to ensure accuracy and consistency, reducing the likelihood of errors and discrepancies. Integration APIs: These allow seamless integration with existing enterprise systems, such as ERP and CRM platforms, facilitating automated data entry and real-time updates. This Intelligent Document Processing (IDP) technology can be deployed across various industries that deal with large volumes of complex documents, particularly in the transportation and logistics sectors. Key applications include: 1. Customs Brokers, Transporters, Carriers, and Freight Forwarders: The technology automates the processing of incoming documents, such as commercial invoices, packing lists, and bills of lading. This automation facilitates the creation of entries and shipments, optimizing business process flows by reducing manual data entry, minimizing errors, and speeding up transaction times. 2. Maritime Port Authorities: The IDP technology can be used to provide comprehensive visibility into port activities by automatically processing and organizing data from cargo manifests, hazmat documents, and statements of effects. This enhanced visibility allows port authorities to monitor cargo movements, ensure compliance with safety regulations, and optimize operational efficiency. Marketable Products Based on This Technology: 1. Automated Document Management Systems: Tailored for logistics companies to streamline their document processing workflows. 2. Compliance and Regulatory Reporting Tools: Designed for port authorities and other regulatory bodies to ensure accurate data collection and reporting. 3. Data Analytics Platforms: Offering advanced analytics and insights from the structured data extracted by the IDP technology, aiding in decision-making and operational planning. The technology goes beyond the current "State-of-the-Art" by not only extracting data from documents but also interpreting this data within a business context to fully automate workflows. Traditional solutions often stop at data extraction, leaving the interpretation and integration into business processes to manual effort or separate systems. This technology uniquely combines advanced OCR, NLP, and machine learning to understand the nuances of business documents, such as identifying specific items, terms, and conditions that are critical for decision-making. By contextualizing the data, it enables automatic validation, reconciliation, and integration into enterprise systems like ERP and CRM platforms. This end-to-end automation reduces manual intervention, cuts down on errors, and accelerates processing times, thereby optimizing operational efficiency. The Unique Value Proposition (UVP) of this technology lies in its ability to not just handle data but to make it actionable, providing businesses with a seamless, automated solution that enhances productivity, reduces costs, and enables more informed decision-making. This holistic approach sets it apart from other solutions that focus solely on data extraction without providing the means to utilize that data effectively within existing business processes. Infocomm, Artificial Intelligence

The rapid development of digitalization is transforming the construction industry, addressing critical challenges such as high energy consumption, elevated management costs, and low operational efficiency. Traditionally, the industry has focused on construction while neglecting operations and maintenance (O&M), relying heavily on manual operations and human experience. These outdated methods are increasingly inadequate for meeting the current demand for smart buildings. Intense competition and high costs have rendered traditional models uncompetitive. Consequently, smart O&M has become essential for improving efficiency, reducing costs, and enhancing service quality in the building and construction industries. The technology owner has developed a full-chain solution that integrates software and hardware, based on their Artificial Intelligence of Things (AIoT) core technology. This solution covers all aspects of building O&M, from underlying hardware devices to upper-level software, intelligent algorithms, and platform services, offering a one-stop solution for various application scenarios. Covering the entire lifecycle of building electromechanical design, construction, operation, and maintenance, it facilitates the digital and intelligent transformation of both new and existing buildings. Additionally, comprehensive low-carbon and energy-saving solutions are provided to maximize the value of energy assets. Supported by digital twins and AI intelligent algorithms, and leveraging a digital platform, the technology owner delivers smart and green solutions to achieve efficient, low-cost, and low-carbon building operation and management. The technology owner seeks collaboration opportunities and partnerships with building portfolio owners and solution providers interested in digital upgrading, energy management, and O&M automation. The digital O&M management platform comprises five main modules: cockpit management system, equipment management system, energy management system, O&M management system, and data asset management system. Each module includes multiple sub-modules that can be customized or combined according to customer requirements. Key features of the solution include: Digital Twin and 3D Visualization: To create a precise replica of the building based on a lightweight Building Information Model (BIM) To optimize multi-level management from the exterior and interior of the building Data Visualization for Real-Time Management: To assist building owners in promptly managing real-time operational data, energy consumption and environmental data, and other status of building equipment AI Decision System and Algorithms: To collect energy data for utilities such as water, electricity, and gas To automatically optimize energy consumption by integrating AI decision control systems and smart frequency conversion control algorithms Lifecycle Management and Predictive Maintenance: To track the full lifecycle records of equipment, including operation, maintenance, repair, and inspection To enable predictive maintenance for key equipment to prevent operational losses This intelligent operation and maintenance solution is ideal for a wide range of building environments, such as smart buildings, campuses, hospitals, commercial real estate, manufacturing facilities, and smart cities in need of digital upgrades or smart energy management. It is suitable for both new and existing buildings. The solution can be implemented at the level of individual buildings and scaled up to cover entire regions or cities, regardless of geographical scale. Full-chain Solution: from hardware, software to platform service Flexibility: able to deliver diverse and customized solutions by integrating various models Scalability: applicable to singular building and expandable to cover an entire city operations and maintenance (O&M), Smart Buildings, Smart Cities Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Green Building, Sensor, Network, Building Control & Optimisation

The AI-based software for gastric cancer prevention and management is a pioneering medical device that leverages real-time AI diagnostics to improve patient outcomes. This innovative solution aims to enhance the survival rates and quality of life for high-risk gastric cancer patients, reduce healthcare costs by preventing the disease from progressing to more severe stages, and is currently undergoing clinical trials in major hospitals in Korea with related patents secured. Among the world's seven major cancers, the one with the lowest 5-year relative survival rate of 20-30% demonstrates that regular surveillance diagnostics of the high risk patients is the most well-proven preventive measure. The core technology integrates comprehensive AI diagnostics from pre-cancerous stages to cancer and a multi-modal AI personalized surveillance system for optimal preventive management and patient care. Developed in Korea, where millions of endoscopic examinations are conducted annually, this software is designed to maximize the diagnostic and consultative capabilities of physicians and enhance the preventive management functions for patients. The user interface is tailored to meet the needs of doctors, high-risk patients, and their caregivers, with AI algorithms and interfaces continuously improving.   Key functional Features: High-performance AI algorithms and unique interface: Patented AI/interface and over 1 million data points diagnose comprehensive pre-cancerous conditions, including gastric cancer, adenoma, and chronic gastritis (intestinal metaplasia). Diagnostic accuracy: Simultaneously diagnoses multiple diseases in real-time, achieving performance equal to or superior to that of skilled physicians. User-friendly display: Intuitive UI resolves information asymmetry between skilled and unskilled doctors, as well as between doctors and patients. Multimodal AI software: Integrates various data sources such as imaging, medical, and language to support multimodal consultations and provide personalized management and care plans. Versatility: Supports both on-premises and cloud environments, making it compatible with various endoscopic devices and platforms. Efficiency and environmental protection: Features like auto-capture and best shot selection enhance pathology confirmation efficiency, reducing medical time and costs and contributing to environmental protection. Development process: Organically structured in stages of UI design tailored to doctor and patient needs together, AI algorithm development and integration, final product quality verification, and continuous enhancement. As a digital healthcare solution: Real-time diagnostic market and new medical device market based on AI software solutions Health management services using AI-based personalized preventive care solutions Insurance and consumer (patient)-targeted health management platform linkage market Future markets that can be linked and expanded with the medical ecosystem related to medical big data, telemedicine, and patient monitoring systems  As a software developer and business operator: New business approaches through collaboration with various hardware and platform operators The global market for AI-assisted upper endoscopy diagnostics exceeds $6 billion, while the patient-driven gastric cancer prevention and care market surpasses $60 billion. A particular company demonstrates significant market competitiveness through its innovative technologies: Endoscopic Pre-cancer Diagnosis for Gastric Cancer Prevention: The first technology in Korea and globally that allows personalized diagnostic results to be managed over time. A technology with approximately 90% diagnostic accuracy for major pre-cancerous conditions like intestinal metaplasia, achieved through comprehensive analysis of multiple landmarks in videos, potentially replacing numerous random biopsies. Early Partnerships: Pursuing early partnerships with multi-national hardware and platform providers based on software flexibility. International Academic Activities: Presentation at the European Union Digestive Disease Week in October 2023 (superiority in diagnosing intestinal metaplasia compared to experienced physicians). Abstract presentation at the Spring 2024 SIDDs conference (efficiency of landmark classification and engine compared to experienced physicians, and improvement in photo documentation quality). Several research publications are currently in the process of being published. Current Advanced Technology Improvements Comprehensive Real-Time Diagnosis: Unlike existing solutions that focus on a single and non-real-time disease detection, this product simultaneously diagnoses various conditions from pre-cancerous stages to cancer in real-time. High Diagnostic Accuracy: Trained on over a million data points, the AI algorithm provides diagnostic accuracy equal to and/or significantly better than skilled physicians' visual detection. Multi-type User-Friendly Interface: An intuitive ‘medical device UI’ addresses information asymmetry not only between skilled and unskilled physicians, but also between doctors and patients. Multimodal AI Software Medical Device: Integrates imaging, medical records, and language data to support personalized consultations and preventive care plans. Support for Various Environments and Efficiency: Supports both on-premises and cloud environments, and features automatic shooting and optimal shot selection to reduce medical costs and contribute to environmental protection.   Unique Value Proposition (UVP) Compared to Current Advanced Technology World's First AI-Based Preventive Care: The first AI software medical device to implement real-time AI diagnosis for gastric cancer preventive care. Comprehensive Solution for Gastric Cancer Prevention Management: Provides an integrated solution that simultaneously addresses the major obstacles in gastric cancer prevention management, such as diagnostic errors and appropriate surveillance management errors. Verified Patent Technology: Undergoing clinical trials in major hospitals in Korea, with related patents obtained and filed to ensure the reliability and effectiveness of the technology including surface/diffuse type of lesion detection not limiting to traditional contour-based lesion detection. International-Level Research: Maintains cutting-edge technology through continuous international-level research. Healthcare, Diagnostics