TECHINNOVATION TECH OFFERS

With mounting concerns regarding the environmental and health impacts of conventional chemical pesticides, there is a noticeable shift towards biological alternatives. This trend is fueled by a global demand for sustainable agricultural practices and safer, more environmentally-friendly produce. However, a significant challenge persists: the comparatively lower efficacy of biological pesticides. This technology addresses the challenge of low efficacy in biological pesticides, often caused by environmental factors such as heat, UV exposure, and runoffs, especially prevalent in tropical regions. It utilises plant-derived, biodegradable materials to encapsulate the biological pesticides, protecting them from environmental factors, thereby extending their residual treatment effect and reducing usage volumes and re-application frequencies. 

In recent years, current geopolitical tensions and global events have disrupted global supply chains. Companies are now re-evaluating their sourcing strategies, like “China+1” in ASEAN counties, to diversify and strengthen resilience in their supply chain. The company has launched an Artificial Intelligence (AI) based proprietary solution, comprising of an extensive supplier sourcing platform and a one-stop knowledge instructor for all supplier-related queries. The solution's strength lies in offering audited suppliers, backed by human verification, and contextualised insights for any supplier-specific query, ensuring a more comprehensive and reliable sourcing process. Through these, it enhances the resilience and operational flexibility of any core sourcing operations within enterprises. This technology has been involved in several validation proof of concept (POC) projects across various global markets. The company is seeking collaboration partners, such as industrial players, who wishes to explore this supply chain solution for any industrial-specific sourcing hurdle within their respective market.

We are an advanced maritime forecasting platform that leverages cutting-edge artificial intelligence (AI) and machine learning (ML) to provide highly accurate predictions for the shipping industry. The platform's AI-driven models analyse vast amounts of historical data, along with current market conditions, to predict short-term, medium-term, and long-term trends. The technology help companies reduce costs, optimize operational efficiency and manage risks, allowing them to make proactive decisions

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.

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.

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.

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.

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 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.