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Traditional aluminium production is energy-intensive and increases greenhouse gas emissions. In contrast, recycling aluminium offers a more sustainable alternative, reducing energy consumption and minimising environmental impact. Recycling aluminium can cut carbon emissions by up to 95%, significantly reducing the carbon footprint. This technology aims to promote a circular, sustainable approach by incorporating recycled aluminium into outdoor furniture applications. This technology utilises recycled aluminium pipes of a uniform diameter, reducing material usage and waste. The use of a single angled jig ensures precise and efficient shaping, streamlining the production process without compromising quality. This eco-friendly design is lightweight, weather-resistant, and stackable, making it ideal for both public and private outdoor spaces. With various colours and finishes, it offers long-lasting durability and low maintenance, supporting sustainable manufacturing practices that aligns with modern design standards and promotes a longer product lifecycle. The technology owner is interested to out-license this fabrication technology to furniture companies and further co-develop this sustainable furnishing approach using alternative materials to design eco-friendly furniture. This technology features the use of recycled aluminium pipes with a single diameter, minimising material usage and environmental impact. The use of a single angled jig to bend the consistent pipe profiles ensures precision and efficiency in shaping the design. Other features include: Lightweight design Availability in various colours and finishes Long-lasting weather resistance Low maintenance Stackable design for optimising space management This technology is currently designed for outdoor furniture products but by leveraging on existing manufacturing processes (pipe pending and welding) with recycled aluminium as the primary material choice, it can be extended to other applications requiring the use of recycled aluminium. The technology leverages construction principles and by using standard-diameter aluminium tubes, which are easily sourced and fabricated, eliminates the need for screw fixtures and complex assembly processes, relying instead on efficient manufacturing methods such as metal tube bending and welding. This streamlined approach not only simplifies production but enhances durability. The use of aluminium, a lightweight yet durable metal, ensures long-lasting resistance to tropical weather, while its eco-friendly nature contributes to a lower carbon footprint. Additionally, the stackable design maximizes space efficiency, making it ideal for public spaces where space management is critical. sustainability, circular economy, recycling, recycled aluminium, aluminium, pipe, outdoor furniture, interior, furniture, fabrication, process, design Materials, Metals & Alloys, Sustainability, Circular Economy

Clay is a naturally occurring material composed mainly of fine-grained minerals, demonstrating plasticity through a range of water content. Given the low recycling rate of food waste in Singapore (18%), incorporating food waste in existing clay products presents an opportunity to conserve natural resources and develop more sustainable clay materials. This technology involves the development of food waste-incorporated clay, which permits safe biodegradation over time without the use of kiln firing. A selection of food waste is carefully treated and blended into the clay to create sustainable clay with high waste content, high nutrients, great workability, and appropriate shelf-life. Each type of food waste contributes different physical and chemical properties to the clay, affecting its biodegradability and workability. Apart from food waste, a naturally occurring binder is also added to ensure overall biodegradability. By adjusting the formulation of the food waste-incorporated clay, its appearance and other functional properties (such as strength and workability) can be made comparable to conventional clay, with the added benefit of nutrient (calcium, potassium, nitrogen, carbon) leaching capabilities. This creates sustainable, biodegradable clay for various built environment applications. The technology owner is interested in working with companies seeking sustainable clay materials on joint R&D projects, out-licensing and test bedding opportunities . Some features of this sustainable clay material include: Incorporated with high food waste content to provide high nutrient availability Good workability and strength upon drying in atmospheric and oven conditions (50°C, min. 48 hours) Omit the use of high temperature kiln open-firing while maintaining integrity of the clay Appropriate shelf-life in sheltered tropical environment Integrated with biodegradable binder to enhance the binding property between food waste and clay Able to release soluble nutrients upon contact with water Biodegradable over time (within 1-6 months) Potential applications of the sustainable clay material include (but not limited to): Food waste receptacles looking to upcycle food waste into new materials Construction applications e.g., clay tiles Consumer products e.g, pottery clay The global industrial clay market size was worth around USD 5.12 billion in 2022 and is predicted to grow to around USD 7.84 billion by 2030 with a compound annual growth rate (CAGR) of roughly 5.64% between 2023 and 2030. Creates a sustainable clay product through the incorporation of single and multiple food waste types whilst maintaining the workability of conventional clay Permits safe biodegradation over time with added benefit of nutrient leaching capabilities Energy-efficient as it omits the use of kiln firing food waste, clay, biodegradable, sustainable ceramics, built environment, circular economy, upcycling, ceramics, tiles, pottery Materials, Ceramics & Glass, Sustainability, Circular Economy

With the rise of IoT (Internet of Things), companies worldwide are leveraging various sensing data to create innovative services. Among the various methods for detecting the presence of individuals, Wi-Fi sensing is being utilized, leveraging Wi-Fi as the standard wireless infrastructure. The aim is to develop new, precise services tailored to users while maintaining privacy protection. Unlike traditional methods that may involve cameras or other invasive technologies, Wi-Fi sensing technology operates without cameras, detecting individuals through Wi-Fi signal interactions. This non-intrusive approach is well-suited for applications such as energy-saving systems, elderly care and more. By integrating multiple modules, these sensors meet predetermined performance criteria, effectively detecting individuals around Wi-Fi-enabled devices without compromising user comfort or privacy. The technology owner is seeking research collaboration with chipset and module vendors, as well as application developers. The technology comply with IEEE 802.11bf standard. Designed to detect human presence about 3 meters away from the Wi-Fi adapter. Does not require the use of cameras or wearable devices. Possible in sensing human presence even in low-light conditions or when individuals are partially obstructed by objects. This makes it highly effective for a range of applications where traditional sensing methods might fall short.   Detects the presence of individuals near the Wi-Fi device and activates a response when someone approaches. When no one is detected nearby, the device automatically switches to an energy-saving mode. By placing multiple Wi-Fi devices, effectively monitor room occupancy and pinpoint which areas or exhibits are drawing the most attention. In elderly care facilities or for elderly individuals living alone, the system automatically records their daily activities and routines (sleeping, waking up, getting out of bed etc.), providing caregivers with valuable insights into their well-being and helping them better support the residents. IEEE 802.11bf, known as Wi-Fi Sensing, is scheduled for release in 2025. The technology is poised for growth, driven by increasing demand for smart home devices, energy-saving systems, and elderly care solutions. Opportunities include its integration into IoT ecosystems, enhanced privacy features, and expanding applications across industries like security, healthcare, and retail, making it highly versatile.     Enhanced Accuracy: Advanced signal processing provides precise detection of human presence and movement within indoor environments. Non-Intrusive Operation: Operates effectively without cameras or wearables, ensuring privacy and minimizing intrusion Energy Efficiency: Intelligent operation modes, including energy-saving features when no one is detected, optimize energy use. Versatile Applications: Suitable for various settings, including smart homes/buildings, elderly care facilities, and retail environments, providing insights into occupancy, activity patterns, and more. Future-Proof Technology: Compliant with the latest IEEE 802.11bf standard, ensuring compatibility with future advancements and maintaining cutting-edge performance.   Wi-Fi, 802.11bf, CSI (Channel State Information), Sensor, Living-Body Presence Detection Personal Care, Wellness & Spa, Infocomm, Internet of Things, Wireless Technology

Traditionally, the construction industry has managed information flow through documents and drawings from the design phase to building maintenance, but this information has often been fragmented and not centrally organized. With the rise of digital technology, Building Information Modelling (BIM) has become more widely used, enabling comprehensive management of building lifecycles. However, generation of Digital Twins remains a complex task. The process requires expensive 3D scanning equipment, specialized software, and skilled personnel to process the data. Many companies struggle to fully utilize advanced 3D technologies like BIM and Digital Twins due to these barriers. The technology owner has developed an AI powered 3D spatial platform solution that simplifies the creation of Digital Twins and integrates AI technologies to enhance on-site operations. Through the integration of proprietary AI algorithms, it enables the smart generation of the Digital Twins from either their proprietary or third-party scanning solutions and unlocks various AI capabilities utilising the 3D model that even less experienced team members are able to fully leverage on, driving operational efficiency. With the "Conversational AI" capability, it enables the documentation of drawings and reports within the 3D spatial model for easy referencing to facilitate problem-solving through dialogue. The "Asset Detection AI" and “Anomaly Detection AI” capabilities not only automatically detect and map fixed assets onto the Digital Twin and provide an automated ledger generation from it, but also have the function to identify issues (such as cracks or rust) and pinpoint them accurately within the model for prompt action. This solution employs its proprietary imaging devices or compatible third-party scanning solutions for point cloud data acquisition, which is then processed through proprietary AI technology within the digital platform solution to generate the Digital Twin, simplifying the construction process. The key features include: Automated alignment of point clouds (creating a unified point cloud dataset) Automatic overlay of spherical images onto the mesh generated from the unified point cloud Segmentation and categorization of objects using point cloud recognition Automatic generation of BIM data from recognized point clouds 3D viewer accessible via web browser for easy visualization Once the 3D spatial model is generated within the 3D viewer platform, the below AI-powered features can be utilised, with further expansions expected in the future: Conversational AI capabilities using internal document data (leveraging Retrieval-Augmented Generation (RAG)) Visual anomaly detection for rust, cracks, smoke, water leaks, and other infrastructure issues Automated ledger generation for detected assets On-demand automatic masking to protect privacy (e.g., sensitive labels, personnel) Simulation and interference checking for object relocation within the Digital Twin Conversational AI Functionality The multimodal AI, which integrates 3D, imagery, and natural language, extends beyond simple question-answering to more advanced applications. For instance, it can reduce the time spent on document creation by automating report template generation. Furthermore, by recognizing images and point clouds and providing related information (such as hazardous areas), the AI can assist in identifying potential issues that might otherwise go unnoticed through conversational prompts. Anomaly Detection AI Functionality For rust detection, the AI can assess the severity of anomalies using characteristics like color, texture, and shape. For crack detection, the AI can evaluate the length, width, and depth of continuous cracks through advanced image recognition and depth estimation, providing accurate severity assessments. By integrating these detection capabilities with the Digital Twin, anomalies can be managed and tracked over time. Moreover, the Conversational AI feature can notify relevant stakeholders when an anomaly reaches a critical level, allowing for proactive management. The AI can also automatically generate reports summarizing detected anomalies, streamlining any maintenance reporting process. The company is seeking collaborative partners like facilities and infrastructure owners who wish to further develop or empower business operations with AI capabilities to optimize their maintenance workflow and operational capabilities. The technology solution easily generates 3D spatial via its own or third-party scanning solutions and is easily accessible via a web platform. With the integration of various state-of-the-art AI software algorithms, it enables interaction of the 3D space, thereby unlocking its full functionalities to non-expertise personnel for other business optimisation. Its proprietary anomaly detection AI empowers enterprises to accurately track and prioritise abnormalities on their equipment, enhancing maintenance operations and reducing unexpected downtime. 3D Spatial Platform, Rust Inspection, Crack Inspection, Anomaly Detection, Facilities Management Infocomm, Artificial Intelligence, Green Building, Sensor, Network, Building Control & Optimisation, Smart Cities

The increasing complexity of plant and factory operations, coupled with growing demands for energy and carbon management, has created an urgent need for integrated solutions. These solutions must not only manage assets and optimize production processes but also measure and reduce carbon emissions, driven by mounting government pressure to achieve smart and green manufacturing with low carbon output. This technology is tailored for manufacturing plants and energy-intensive industries such as oil and gas, petrochemicals, chemicals, and pharmaceuticals - sectors facing significant challenges to lower operational costs, boost production efficiency, and meet carbon neutrality goals. By leveraging 3D visualization, operational simulation, real-time data collection, and big data analytics, this technology reconstructs the entire production and operational processes through a digital twin. It integrates and replicates data from system upgrades, engineering construction, production activities, and process principles. The implementation includes the digital delivery of engineering assets, the creation of a digital twin model based on operational mechanics and historical data, and the seamless integration of operational management with energy and carbon management systems through real-time data access. This technology ultimately establishes a cloud-based digital twin platform that enables comprehensive asset management, production workflow optimization, and precise monitoring of energy consumption and carbon emissions, paving the way for developing low-carbon, smart plants. The technology owner is seeking collaboration with industrial manufacturers, plant operators, energy management companies, engineering design firms, IoT sensor and software providers to co-develop and implement this technology in practical applications, delivering tailored solutions to meet the unique needs of diverse clients. Core Technology: Builds on a comprehensive digital twin platform Integrates cutting-edge 3D visualization tools Features simulation engines for operational mechanism Utilises big data analytics Real-time data acquisition systems Key Components: 3D visualization engine Digital delivery system Digital operations and maintenance system Process simulation and optimization system Energy and carbon management system Primary Functions: Digital reconstruction of factory production and operational workflows Enable precise monitoring, predictive maintenance, and optimized energy and carbon management Target Industries: Oil & gas, petrochemicals, chemicals, steel, pharmaceuticals, and other energy-intensive sectors Export-driven industries requiring carbon emission reporting Transformative Solutions: Engineering digital delivery Factory digital operations and maintenance Real-time production process optimization Energy and carbon management platforms Real-time carbon accounting systems Key Applications: Digital Delivery and Asset Management: End-to-end digital delivery, preservation, and management of factory assets Production Optimization: Enhance production efficiency, streamline processes, and reduce operational costs Predictive Maintenance: Anticipate equipment failures, minimize downtime, and extend machinery lifespan Energy and Carbon Management: Reduce energy consumption and track carbon emissions with real-time data analytics This technology offers significant advancements over existing solutions through its BS architecture, which eliminates the need for software installation, enhancing both accessibility and user-friendliness. The platform supports multiple business models and software formats, enabling real-time data integration and carbon accounting in compliance with international standards.  BS architecture that requires no software installation Compatible with multiple business models and software formats Real-time data integration and carbon accounting capabilities Open software environment with rapid response capabilities Digital Twin, Low-carbon, Smart Factory, 3D Visualization, Operational Simulation, Big Data Analytics, Asset Management, Production Optimization, Energy Management Infocomm, Artificial Intelligence, Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Manufacturing, Chemical Processes

The technology redefines equipment monitoring and maintenance with its novel approach and sets itself apart from conventional solutions. Unlike traditional predictive maintenance methods that rely on pre-installed expensive sensors, this solution leverages a robust analysis of existing data, integrating AI and machine learning, to provide accurate health assessments and predictions. Conventional systems often struggle with managing and classifying large volumes of alarm data, leading to delayed response and overlooked issues. In contrast, this system excels in managing large volumes of alarm data, classifying faults and critical alerts, and monitoring emerging trends to address potential issues. The technology also has the capacity to automate the identification of Standard Operating Procedures (SOPs) and to utilize sophisticated AI agents to orchestrate real-time, factory-wide monitoring. This approach addresses several key pain points in the equipment maintenance industry and helps in achieving higher equipment uptimes (Overall Equipment Efficiency, OEE). By focusing on data-driven insights rather than additional sensors, this technology also offers a more cost-effective and flexible approach to equipment health management, ensuring comprehensive and proactive maintenance strategies. Unsupervised Machine Learning: The solution excels at identifying patterns and anomalies without pre-labeled data, enabling it to analyze and generate insights even without extensive historical data, making it highly adaptable to new situations. Data Integration: The platform can seamlessly integrate with any data set, independent of OEM support, ensuring comprehensive monitoring and analysis without requiring prior data preparation or understanding. Health Index for Equipment: The solution offers a detailed health index for machinery, providing clear and actionable assessments that inform maintenance decisions and optimize operational efficiency. Predictive Maintenance Capability: Equipped with predictive maintenance functionalities, the solution analyzes data trends to forecast potential issues, helping to prevent equipment failures, reduce downtime, and enhance productivity. Integrated MLops Platform: The solution includes an MLops framework that manages and monitors machine learning models, ensuring efficient operation, continuous improvement, and scalability of its machine learning components. Semiconductor and Advanced Manufacturing: This solution is ideal for the semiconductor industry and other advanced manufacturing sectors, where precision and reliability are critical. Its advanced monitoring and predictive capabilities ensure equipment operates within optimal parameters, minimizing defects and inefficiencies. By processing large volumes of data in real-time, the system enhances quality control, reduces waste, and improves production yields. Predictive Maintenance: The solution revolutionizes predictive maintenance across industries by using data analysis and machine learning to anticipate equipment failures before they occur. This proactive approach enables timely interventions, reducing unexpected breakdowns and extending machinery lifespan. By forecasting issues based on real-time and historical data, the system helps avoid costly downtime and maintains continuous production. N+1 Standby Reduction: In N+1 manufacturing environments, the solution optimizes energy consumption by minimizing the need for standby equipment. Traditionally, equipment must be kept on standby, leading to unnecessary energy use and higher costs. The solution provides real-time insights into equipment health, allowing for more efficient standby management. This reduces energy consumption and operational costs, contributing to substantial energy savings and a lower environmental impact. No Need for Equipment Sensoring: This solution bypasses the need for extensive sensor networks, reducing costs and logistical challenges associated with sensor installation and maintenance. Minimal Dependence on Large Data Sets: It does not rely on large volumes of historical data, making it more adaptable and less data-intensive, which reduces the time and resources needed for data gathering and processing. Actionable Intelligence On-Site: The solution provides localized insights directly at the equipment site, enabling faster response times and immediate adjustments without the need for centralized data processing. Data-Driven Insights Without Negative Data Reliance: Focused on current operational data rather than past failures, the solution promotes proactive maintenance strategies, optimizing real-time performance. Utilizes Unsupervised Deep Learning: Advanced unsupervised deep learning techniques allow the system to detect complex, previously unknown issues without needing predefined labels or categories. Improves Accuracy Over Time with Reinforcement Learning: Incorporating reinforcement learning, the solution continuously enhances its accuracy and predictive capabilities as it processes more data, leading to greater precision over time. Infocomm, Artificial Intelligence

Insomnia, particularly when caused by stress or anxiety, poses a significant challenge for many individuals. Traditional treatments, including sleeping pills, can be effective but often come with potential side effects and long-term dependency concerns. Addressing this issue, an innovative sleep patch has been developed to offer a non-invasive, drug-free solution for improving sleep hygiene. This sleep patch is designed to tackle common sleep problems such as insomnia and irregular sleep patterns, particularly those triggered by stress and anxiety. Unlike conventional medications, the patch leverages natural products to promote relaxation and support continuous sleep without the adverse effects associated with long-term drug use. Clinical research, including stress experiments and polysomnography studies, has demonstrated the patch’s ability to induce sleep for over 12 hours by alleviating stress. This makes it an ideal choice for individuals seeking a safe, effective alternative to conventional sleep aids. The technology owner is looking for collaboration with local research institutions and universities to validate the effectiveness and safety of the product through comprehensive research and clinical trials. 1) Sleep and Stress Relief Mechanism Functionality: This sleep aid is based on stress relief mechanism. In a stress relief test, the autonomic nerve stress index decreased by 40% after using the sleep patch. Similarly, the brain stress index experienced a 25% reduction.   2) Non-invasive Transdermal Delivery System Form Factor: Unlike oral medications, this patch delivers sleep-enhancing compounds directly through the skin, enabling prolonged sleep duration and improved sleep quality. This method minimizes the risk of digestive side effects and enhances the bioavailability of the active ingredients. 3)  Natural Substances and Safety Safety: Formulated with natural substances verified for safety by to the Korean Food Pharmacopoeia standards. 4)  Proven Effectiveness Scientific Validation: The product's efficacy is backed by in vitro studies and animal experiments, demonstrating significant improvements in sleep parameters. Preliminary Clinical Study: A preliminary clinical trial using polysomnography showed a 57% reduction in sleep onset time and a 20% increase in total sleep duration, contributing to better overall sleep hygiene. The potential applications are divided into categories in addressing specific sleep and stress-related needs across various demographics: Sleep-Related Applications 1. Jetlag Relief Target Group: Frequent travelers and business professionals. Application: Helps adjust sleep cycles when crossing time zones, minimizing the impact of jetlag and improving overall travel comfort. 2. Shift Workers Target Group: Night shift workers, healthcare professionals, and emergency responders. Application: Assists in regulating sleep for those with irregular work hours, ensuring they can achieve restorative sleep during the day or between shifts. 3. Elderly Care Target Group: Older adults in home care or assisted living facilities. Application: Supports better sleep patterns in the elderly, who may struggle with insomnia or frequent nighttime awakenings. Stress and Mental Health Applications 1. Stress Management Target Group: High-stress professionals, caregivers, and individuals in demanding roles. Application: Integrates into daily routines to alleviate stress and promote relaxation, leading to improved sleep and overall mental well-being. 2. Mental Health Support Target Group: Patients with anxiety, depression, or other mental health conditions. Application: Offers a non-invasive, natural aid to improve sleep quality, which is often disrupted in individuals facing mental health challenges. 3. Corporate Wellness Programs Target Group: Employees in high-pressure work environments. Application: Included in corporate wellness initiatives to reduce stress, enhance sleep, and ultimately boost productivity and job satisfaction. Safe and Non-Depressant: Unlike traditional melatonin and serotonin patches, this sleep patch addresses and minimizes the risk of depressive symptoms, making it a safer option for individuals with mood concerns or those who have experienced adverse effects from melatonin. Versatile and Accessible: The patch is suitable for both short-term and long-term sleep issues and can be conveniently purchased over-the-counter. Effective for Diverse Needs: Ideal for various applications, including managing jetlag for travellers, supporting shift workers, and improving sleep in elderly care. It is designed to cater to a broad range of users looking for a non-pharmaceutical sleep solution. Ease of Use: The transdermal delivery system provides a straightforward and non-invasive alternative to oral sleep aids. Insomnia, Sleep, Transdermal Devliery Material, Stress Relief, Natural Substances Personal Care, Wellness & Spa, Nutrition & Health Supplements, Healthcare, Pharmaceuticals & Therapeutics

Indoor vertical farming is pivotal for addressing future food challenges, particularly in arable land-scarce countries. One common method is hydroponics, which uses mineral and nutrient solutions in a water-based platform to grow crops. To optimize the crop yield and to reduce the man work hours required, it is important to automate crop health monitoring and replenishing of specific nutrients. Currently, these tasks are labour-intensive and subjective. While some imaging techniques exist for detecting plant stress and chlorophyll monitoring, a complete system covering all aspects is still lacking. For nutrient analysis, tools like pH and electroconductivity meters can only detect a change in the nutrient composition to start a feedback loop but are unable to determine the specific nutrient component or deficiency level. This technology is a comprehensive quantitative monitoring system integrating imaging spectroscopy and laser-based elemental spectroscopy to quickly identify the crop growth stages, alert crop stresses (tested on several lettuce species) and quantify specific nutrient levels in the nutrient supply. This allows for reduced man work hours and improvement of crop yield. Complete crop health monitoring through combined leaf, root, and nutrient supply monitoring, with automated replenishment Real-time in-situ component wise nutrient monitoring capability with high sensitivity (in ppb levels) enabling automated selective nutrient replenishing Non-invasive and non-contact, no sample preparation required Modular sub-systems allowing for easy integration with existing systems Machine learning capability for improved spectral library creation, enabling rapid and efficient monitoring   Applications validated at lab scale: Automated hydroponic crop monitoring in large indoor agricultural farms Inline, real-time nutrient monitoring of nutrient solutions Other applications tested at experimental POC scale and shown to be more rapid and accurate than existing methods: Real-time water quality monitoring Post-harvest quality determination of crops Trace elemental detection in body fluid   Offers full-spectrum monitrong for both crop health and nutrient supply, covering both leaf and root systems Enables automated, real-time nutrient replenishment with precise, component-wise monitoring at ppb sensitivity levels Features modular subsystems and easy integration with existing setups, supported by specific spectral libraries and machine learning for efficient monitoring and classification   Hydroponics, Nutrient Monitoring, Non-destructive Monitoring, Urban Farming, Indoor Farming, Spectroscopy, Imaging Life Sciences, Agriculture & Aquaculture, Foods, Quality & Safety, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

Access to clean and safe drinking water is essential for health, yet millions of people worldwide still lack this necessity. According to the World Health Organization (WHO), over 2 billion people globally use drinking water sources contaminated with feces, leading to severe health consequences. Unsafe water, along with inadequate sanitation and hygiene, is estimated to cause 485,000 diarrheal deaths each year. Water purification technologies face significant challenges, especially in decentralized systems lacking the efficiencies of large-scale operations. They often have a substantial carbon footprint due to energy-intensive processes and reliance on chemicals. Existing portable devices primarily use filtration and have a limited lifetime on-site, with little opportunity for cleaning to restore its performance.  Developed by a research team, this technology effectively addresses the above challenges by employing electrochemical methods that generates strong oxidizing agents to kill micro-organisms present in raw water and potentially degrade organic pollutants that conventional portable reactors cannot remove via filtration. Due to its working mechanism, the device is self-cleaning and does not need regeneration. By harnessing solar energy and activated carbon, this chemical-free purification approach is not only environmentally friendly but also perfectly suited for deployment in remote areas, developing countries, and disaster-stricken zones where traditional water treatment infrastructure is lacking. The technology owner is looking for collaborations with local SMEs to co-develop scaled systems and deploy it through disaster relief organizations, government agencies and non-profit organizations in selected developing countries.  Power Source: Solar-powered, enabling operation in off-grid and remote areas, resulting in reduction of operational costs and ensures continuous, sustainable water purification Electrochemical Reactor: Anode: Mixed Metal Oxide (MMO) anode which generates strong oxidizing agents to degrade certain recalcitrant pollutants Cathode: Activated Carbon, enhancing contaminant removal through absorption and electrochemical processes Chemical-Free Operation: Eliminating the need for chemicals, making it more sustainable, safer and more cost effective Contaminant Removal: Organic Contaminants: The technology can effectively remove organic pollutants, with 65% of an initial 50 ppm phenol concentration being removed within 60 minutes proven in a prototype system. Coliform Reduction: Electrochemical treatment rapidly reduces coliform levels to meet water reuse guidelines of less than 10 CFU/100 mL in just 3 minutes. Biochemical Oxygen Demand (BOD₅): The system is capable of bringing BOD₅ levels within guideline standards in as little as 15 minutes. Water Treatment: Provides clean water in areas without conventional water treatment infrastructure  Humanitarian Aid: Supports disaster relief and NGOs in emergencies like natural disasters and refugee camps. Rural Development: Serves remote and rural areas, especially in developing countries without centralize facilities. Mobile units: Portable purification for troops in harsh or remote environments, ideal for off-grid communities, emergency preparedness and mobile operations needing reliable water purification. Sustainable Power Source: Solar-powered, reducing reliance on external energy sources and ensuring operation in off- grid locations Chemical-Free Operation: utilizes electrochemical methods, environmentally friendly Effective Contaminant Removal: Capable of degrading recalcitrant pollutants and organic compounds Environment, Clean Air & Water, Sanitisation