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.  Plant-derived, biodegradable encapsulation material Compatible with commercialised biological pesticides (e.g., bacillus thuringiensis) Simple, one-step encapsulation process completed within 15 minutes using existing mixing apparatus Compatible with existing application equipment such as backpack sprayers and drones Imparts rainfastness within 1 hour Sustains residual effect for up to 3 months per treatment The technology demonstrates versatility, with potential applicability in tackling an array of agricultural challenges such as diseases, weeds, and nutrient deficiencies. It is also applicable for commercialised insecticides such as chlorantraniliprole and imidacloprid. Tailored to address challenges specific to tropical agriculture Enhances efficacy of biological pesticides Reduces biological pesticide consumption Lowers re-application frequencies, minimising costs and labor requirements agriculture, agritech, agrifood tech, agrifoodtech, food security, climate change, encapsulation, agrochemical, crop care, crop protection, herbicide, insecticide, fertiliser, fertilizer, pesticide, fungicide, bagworm, delivery technology, precision delivery, delivery, farming solution, foliar spray, biologicals, bacillus, bio, bio-based, bacteria, fungi Chemicals, Agrochemicals, Life Sciences, Agriculture & Aquaculture, Additives, Bio-based, Sustainability, Food Security

Industries such as retail, transportation, worksites, and law enforcement increasingly demand robust safety and security solutions. Organizations managing multiple CCTV systems and vast video datasets need advanced video analytics for early threat detection, real-time monitoring, and informed decision-making. Cost-effective solutions that ensure data integrity and regulatory compliance are crucial. Without advanced analytics, organizations face challenges like slow manual reviews, limited real-time alerts, and delayed insights, which hinder timely incident detection and response. The intelligent video deep search and analytics solution addresses these issues by leveraging AI technologies such as deep learning, computer vision, and NLP. It enables real-time processing, quick text-based searches, and accurate detection of objects and behaviors. The code-free alert system allows for rapid deployment without technical expertise, enhancing surveillance capabilities, operational efficiency, and overall security. Intelligent Deep Search: AI-powered algorithms enable text-based searches of unstructured video datasets, enhancing efficiency and situational awareness. Real-time Processing and Monitoring: Advanced deep learning instantly processes vast video data, providing immediate access to information and improving real-time situation awareness for rapid response. Accurate Detection and Early Warnings: High precision in detecting, classifying, and tracking objects, individuals, and behaviors, with proactive alerts for potential threats. No-code AI Alerts: User-friendly, code-free alert system powered by NLP allows easy setup of predefined alerts. Pattern Analysis and Decision Support: Analyzes video data to identify patterns and trends, aiding informed decision-making. Resource Optimization: Cost-effective solutions optimize resource use without sacrificing performance. Data Integrity, Security, and Scalability: Ensures regulatory compliance and trust with robust data integrity and security, efficiently managing multiple CCTV systems and large video datasets. Two potential applications to showcase the use of the technology are given below. Transport Hub:In busy transportation hubs, AI-powered video deep search enhances security and efficiency. By inputting simple text prompts like "person with a red backpack" or "suspicious activity near entrance," the system can quickly detect and locate the video frame that identifies persons of interest, lost items, or potential threats. This technology also improves crowd management and passenger flow, boosting overall safety and experience. Shopping Mall:In shopping malls, video analytics provide key insights into customer behavior and enhance security. Advanced systems monitor foot traffic and peak hours, optimizing store layouts and staffing. They also track customer demographics and behaviors for targeted marketing. On the security side, real-time detection of suspicious activities or unauthorized access enables immediate responses, creating a safer, more efficient environment for shoppers and staff. The global video analytics market is expected to grow from US$10.1 billion in 2024 to US$22.6 billion by 2028, at a CAGR of 22.3%. Rising safety concerns in sectors like critical infrastructure, transportation, and retail are driving demand for advanced video analytics. The growth of smart cities and widespread IoT adoption further fuel the need for enhanced urban management and safety. Additionally, advancements in AI and deep learning, now more affordable and accessible, are set to accelerate global adoption of video analytics. Search by Text/Image: A multimodal pre-trained model combines natural language processing and computer vision, enabling advanced searches beyond traditional filtering and keywords. Zero-Shot Learning: The system quickly and accurately analyzes video content, delivering relevant search results without prior training. Semantic Understanding: Capable of identifying persons of interest, objects, scenes, behaviors, actions, and contextual meanings of text. Real-Time Alerts: Allows no-code input of predefined occurrences via NLP, sending notifications when events happen. Plug-and-Play & Privacy-Preserved: An on-premise system that requires no additional machine learning, ensuring privacy and ease of deployment. Intelligent Video Deep Search, Deep Learning, Computer Vision, Natural Language Processing, NLP, Object Tracking, Surveillance, Safety, Security, CCTV, Early Warning, Situational Awareness, Video Analytics, Text Query Search Infocomm, Security & Privacy, Video/Image Analysis & Computer Vision, Artificial Intelligence

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. The advanced AI-based proprietary solution is designed to follow the "chain of thoughts" of an expert buyer, retrieving information from multiple data sources and making judgments/decisions in an automated workflow. This supplier chain technology enables users to have a competitive edge through: Being adaptable to different markets Listing of curated global suppliers based on any particular supply chain need across numerous industries Showcasing of verified suppliers and their respective certifications (e.g. ISO) The specifications for these features are based on its AI-based solution: Large Language Model (LLM) to leverage for structured and unstructured raw data for data aggregation to execute data insights AI agent framework with integration of inputs from human expertise for value-add decision making Reinforced Learning from Human Feedback (RLHF) loop to refine process Companies with a global supply chain can utilise this technology to enhance supply chain resilience and efficiency. Some examples are: Electronics Manufacturing: Optimizing supplier sourcing and ensuring the reliability of supply chains. Chemical Industry: Enhancing supplier verification and risk management. Mechanical Engineering: Streamlining the sourcing process and improving supplier evaluations. Aviation: Ensuring reliable and secure supply chains for mission-critical components. Renewable Energy: Navigating the nascent supply landscape for emerging technologies. This technology offers a significant improvement over current state-of-the-art sourcing solutions by integrating advanced AI capabilities with a robust RLHF loop, ensuring the AI agents operate with expert-level judgment and decision-making. This unique approach combines aggregated data with human verification, providing a comprehensive and reliable solution for supplier sourcing. This technology mirrors the workflow of a seasoned sourcing specialist that works alongside existing procurement processes, enhancing the accuracy and reliability of any sourcing decisions. The technology’s ability to adapt to different markets and its applicability across various industries enable manufacturers seeking resilient and efficient supply chain solutions in a complex geopolitical landscape to thrive. Procurement, Supplier Database, Supplier Audit, Supply Chain Logistics, Planning & Order Processing, Delivery & Distribution

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 The core of the technology is its AI-driven software, which uses sophisticated machine learning models to analyse vast datasets related to maritime shipping. These algorithms are designed to process and learn from historical data, market variables, and external factors to generate highly accurate forecasts for freight rates and other market trends The technology employs advanced data mining techniques to gather and analyse data from various sources, including historical market data, economic indicators, and shipping data. These tools help the AI algorithms identify patterns and relationships that are crucial for making accurate predictions Shipping Companies and Fleet Operators: Would benefit directly from the predictive insights of the technology. By integrating the technology, shipping companies can optimize their fleet management, route planning, and maintenance scheduling, leading to cost savings and increased operational efficiency Financial Institutions and Investors: Banks, hedge funds, and other financial institutions involved in maritime investments could benefit from the technology. The technology can provide them with accurate forecasts that inform investment decisions, risk management, and market analysis, thereby improving their return on investment (ROI) Maritime Data Providers and Analytics Firms: Collaborations with other data providers can enhance the accuracy and scope of the predictions. Partnerships with firms that specialize in maritime analytics or data collection can provide additional data sources, which would further refine the AI models. It is a first of a kind technology capable of predicting freight rates on a short, medium and long term basis. It also has a minimum of accuracy of 90%, available on over 160 different shipping routes. This is especially impressive given the extreme volatility of the maritime industry. Infocomm, Artificial Intelligence

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