TECH OFFERS

Within the aerospace, marine and construction industries today, inspections are performed manually. It is a laborious process that is reliant on the experience and physical condition of the inspector, which could introduce human error and work-at-height risks. The AI Automated Visual Inspection System utilises overhead high-resolution cameras with AI-based computer vision capability and autonomous robots with 3D localisation capabilities to detect various defects on a large structure, such as airframe, ship hull and building infrastructure. Through advanced machine learning methods, this technology provides an intelligent recognition system to identify 30 known defect types, such as surface dents, scratches, cracks and loose screws at a faster rate. For example, in Aerospace MRO, a grounded aircraft due to technical issues can cost airlines $10K/hr depending on the aircraft model and airline. This technology can potentially reduce the time needed for physical inspection of a commercial aircraft by 20-30%. This system can also be customised and applied to other manual inspection processes that will benefit from automation, consistency and worker safety.   Visual Inspection for large infrastructure: Automatic visual inspection of large structures through integration of autonomous robots with customised infrastructure and overhead camera network.  Reduced time spent on inspection: Potentially reduce the time needed for physical inspection of a commercial aircraft by 20-30%. Customisable detection: Custom-built machine learning models in the detection of surface defects. Suitable for different environmental conditions: Adaptive solutions that account for variations in lighting. Effective defect detection for surface angles within 35 degrees. Built-in collision detection: Robot collision avoidance of surrounding objects and people, with 3D localisation. No infrastructure/beacons required. User friendly: Effective UI with visualisation and camera control features.   Aerospace industry: Inspection in airframe, engine, landing gear Maritime industry: Inspection of ship hull, shipment containers Building and construction: Inspection of facade, ceilings and high walls Manufacturing and production: Any applications that require automated and smart monitoring There has been a shift to automated inspection process in many industries such as aerospace, maritime, construction and other infrastructure. This is due to improved efficiency, quality, consistency and safety.  Automated Solutions for MRO is forecasted to grow by USD 54.08B from 2023 to 2028.  Efficiency: Visual Inspection algorithms can inspect surfaces for defects or anomalies quickly and can be performed anytime.  Better quality and consistency: Using inspection software eliminate human error and deliver consistent inspection quality. Digitisation of inspection reports: Automated record-keeping, training, defect tracking. Increased safety with less work-at-height risk: Automated visual inspection at height can be conducted by camera-mounted drones or infrastructure-mounted cameras.  Robots with cameras can also be used in unsafe environments (e.g. chemicals, tight spaces). Automation, Computer Vision, AI, Artificial intelligence, visual inspection, defect detection Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Manufacturing plants constantly seek opportunities to save energy, reduce cost, and be more environmentally sustainable. However, achieving these goals is complex often requires heavy expenditure in the form of hiring teams of experienced engineers, who then perform cost-reduction tasks manually - this method is time-consuming, costly, and prone to inaccuracies due to the complexity of manufacturing operations. This technology offer provides an Artificial Intelligence (AI) powered software platform with co-pilot system that monitors and optimise energy consumption, carbon dioxide (CO2) emissions, and operational expenditures (OPEX) in real-time. The AI co-pilot builds a virtual cognitive model (digital twin) of a physical asset, e.g. a manufacturing plant or a piece of machinery. Simulations are carried out on the model to predict operational inefficiency i.e. high energy usage, equipment breakdown, etc, and improvement opportunities. Upon detection of inefficiencies, the AI co-pilot will suggest the best operating parameters to resolve the inefficiency. The technology owner is looking for manufacturing plants in the chemical and pharmaceutical sectors to adopt the technology and to collaborate with machinery owners in the chemical and process industries, as well as original equipment manufacturers (OEM) and digitisation/digital transformation companies on co-development projects. Monitoring and Diagnosis: Tracks real-time operational data through sensor data from every equipment Monitors the equipment lifecycle and manufacturing performance (energy usage, carbon emission, operational expenditure) Predicts and alerts to potential operational inefficiency and equipment failures Generate reports on the causes of operational inefficiency and equipment failures Optimisation: Autonomously recommends insights that optimise the operations in the form of setpoints and parameter adjustment to prevent operational failures, reduce downtime, energy usage and carbon emission based on a user-defined thresholding value Simulation: Software comprises a simulation capabillity to test if changes in specific operating parameters can cause knock-on issues or increase efficiency The software platform can be deployed securely on-premise, private cloud, or public cloud. The technology can be paired with sensor solutions and process modelling software as end-to-end solutions to build digital capabilities in optimising and visualising operations/processes. This technology offer provides an AI-powered co-pilot optimization system and cognitive digital twin that is applicable for all types of machinery used in manufacturing operations, and refineries in the following industries: Chemical Oil and gas Pharmaceutical Energy/Power This AI-powered solution is intended to assist in the autonomous reduction of downtime, OPEX, energy consumption, and CO2 emissions. In comparison with conventional digital twin software which virtually represents physical assets with 3D models, and are commonly used as simulation, prediction, and life cycle monitoring tools. This technology can be differentiated in the following ways: Operates autonomously and self-maintaining Does not need to be operated by specialised engineers with technical experience; workforce reduction Is not simply a complementary tool for analysis, operational oversight and decision-making Built-in AI engine generates insights autonomously to empower engineers in optimising manufacturing performance Cognitive Digital Twin, Optimisation, Emission Reduction, Digitilisation, Modelling, Simulation, Energy Reduction, Decarbonisation Infocomm, Artificial Intelligence, Computer Simulation & Modeling, Sustainability, Low Carbon Economy

With increasing discoveries of new pollutants being detrimental to human health and the environment, there have been an increasing scrutiny of air pollution, industrial emission and air quality through tighter government regulations. With the increasing importance to detect different combination of analyte concentrations within an area, there is a growing demand for electronic olfactory system. Laboratory multi-analyte analysis method, like gas chromatography and mass spectrometry (GC/MS), provide high accuracy and selectivity but is time consuming, complex and not portable. Comparatively, industrial gas sensors, like micro-electromechanical systems (MEMS), are portable and simple but lack the selectivity of chemical substances and do not operate in real-time. The technology owner has leveraged on Field Asymmetric Ion Mobility Spectrometry (FAIMS) with a proprietary odour analysis system built on extensive experimental data to develop a compact, lightweight spectrometer for real-time multi-analyte analysis.  While this system may not fully match the performance of laboratory-grade mass spectrometry, it offers higher accuracy and selectivity than industrial gas sensors, enabling continuous, non-invasive analysis on the go. Notably, it excels in ammonia detection by achieving highly sensitive measurements ranging from sub-ppb to several hundred ppb. The technology owner is currently seeking industrial collaborators looking to explore digital olfaction devices for multi-analyte analysis application, particularly for ammonia-based detection, which leverages on the technology’s high selectivity and sensitivity. The device solution utilises FAIMS (Field Asymmetric Ion Mobility Spectrometry), which separate individual gas molecules via ionisation and specialised electric field and identifies them via electrical signals. Previously limited to only specialised environments, the technology owner has leveraged on proprietary algorithm of data analysis to develop a deployable device for broader usability. The key features include: High sensitivity and selectivity Battery powered for portability to deploy device (as an IoT) on site Compact formfactor (~3kg) with current prototype being 120mm (H) × 220mm (W) × 160mm (D) User friendly with no in-depth technical expertise required Real-time multi-gas analysis for quick and actionable insights, such as pattern recognition, early hazard detection and predictive maintenance Continuous, non-invasive sample delivery design using integrated pump design for contactless analysis Provision of cloud data transmission, computing and visualisation for horizontal usage across various application Easier maintenance due to fewer consumables and ease of replacement With the capability of deployable laboratory multi-analyte detection and analysis, the technology solution is designed to enable various odour-centric application across different industries such as: Environmental Monitoring for Safety and Health: Monitoring and mapping of ambient air pollutants, fire hazard monitoring and prediction, cleanroom contamination and visualisation, and odour monitoring in confined environments (e.g. cabin air, tunnel) Gas/Solvent-based Industrial & Manufacturing Processing: Monitoring, leak detection and mapping (e.g. for ammonia energy source), odour detection and control, and solvent analysis and contamination evaluation Food & Beverages: Maintenance of food hygiene, freshness evaluation and control, authenticity assessment of products, and contamination detection and mapping Logistics: Monitoring of perishables, and packaging defect detection Healthcare and Wellness: Non-invasive bio-gas analysis for disease diagnostics, management of chronic conditions, and effectiveness testing Agriculture: Quality assessment of produce, and predictive maintenance of optimal growth conditions The global electronic nose (e-nose) market is expected to be valued at US$972 million in 2024 and is projected to reach US$1,617 million by 2029, exhibiting a CAGR of 10.7% during the forecast period. Across application segments within the global e-nose market, medical application is projected to be the largest market share in 2029 of US$665 million while environmental monitoring application is expected to exhibit the largest CAGR of 12.1% during the forecast period of 2024 to 2029. The technology solution is designed to leverage the advantages of FAIMS and MEMS technology to develop the odour sensor system capable of high sensitivity and selectivity while being compact, portable and user friendly. With the continuous real-time multi-gas analysis on site, the system has the capability to provide AI based analytics, such as odour profiling and predictive maintenance, for quick insightful decision-making. This technology will provide the future integration to a non-invasive IoT device across various use-cases, from potentially detecting new hazardous odours for public safety to disease diagnostics via breath analysis. Real-Time Spectrometry, MEMS, Field Asymmetric Ion Mobility Spectrometry (FAIMS), Air Quality, Ammonia Monitoring and Detection, Process Monitoring, Bio-gas Diagnostics, Food Inspection, Chemical Substance Detection, Volatile Organic Compounds (VOC), Leak Detection Electronics, Sensors & Instrumentation, Green Building, Indoor Environment Quality, Infocomm, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

With increasing regulatory pressure to reduce synthetic agrochemicals and growing consumer demand for pesticide free and longer lasting produce, there is a gap in the agriculture industry for a robust solution. The technology featured is a proprietary bioflavonoid blend, a key bio-active agent formulated into two unique solutions that can be applied across the entire food supply chain—from farm to table. These organic solutions are designed to enhance agricultural productivity while extending the shelf life of fresh produce. Benefits include: Nutrient Optimization – Rapidly addresses deficiencies, ensuring crops reach their full potential Soil Regeneration – Stimulates beneficial soil biology, enhancing long-term fertility Accelerated Early Growth – Strengthens root development and speeds up early-stage crop growth Harvest Efficiency – Enhances flowering, improves bud retention, and promotes even ripening, reducing labor and processing costs Organic Growth Enhancer This formulation works by activating the plant’s natural nutrient cycling mechanisms, which results in  Nutrient Optimization – Rapidly addresses deficiencies, ensuring crops reach their full potential Soil Regeneration – Stimulates beneficial soil biology, enhancing long-term fertility Accelerated Early Growth – Strengthens root development and speeds up early-stage crop growth Harvest Efficiency – Enhances flowering, improves bud retention, and promotes even ripening, reducing labor and processing costs Based on the various applications in farms, this growth enhancer has resulted in: Up to 20% increase in leaf BRIX measurements Up to 38% improvement in Crop Yield Up to 20% improvement in Soil Biology Up to 42% increase in Fruit Sets Up to 40% increase in Yeast Assimilated Nitrogren (Grapes) Up to 20% increase seen across Total Phenolics Up to 11% increase in Digestible Protein (Wheat) Up to 46% increase in Fat Content (Soy beans) Up to 21% increase in Marketable Cartons (Citrus) Organic Shelf Life Enhancer Fresh produce often spoils due to microbial growth, enzymatic activity, and moisture loss. This formulation is a powerful blend of botanical extracts that extends the freshness of fruits and vegetables naturally by: Inhibiting Microbial Growth – Reduces spoilage by preventing bacteria and mold from proliferating Slowing Oxidation & Decay – Bioflavonoids help delay enzymatic degradation, keeping produce firm and fresh This Organic Growth Enhancer has shown great potential in a wide range of farming systems and crops. Conventional Farms – Enhances nutrient absorption and yield in large-scale farming operations Vertical & Hydroponic Farms – Optimizes plant health in soil-less and controlled environments Diverse Crop Compatibility – Proven effectiveness in leafy greens, berries, cherries, sugarcane, rice, vineyards, cotton, and more This Organic Shelf Life Enhancer also has the potential to be applied along the post-harvest supply chain. Post-Harvest Treatment – Applied immediately after harvest to maintain quality and extend storage life Produce Processors – Reduces spoilage during handling, packaging, and transportation Retail & Grocery Stores – Keeps fruits and vegetables fresher for longer on store shelves The global agricultural biostimulants market is projected to reach $6.2 billion by 2030, driven by increasing demand for sustainable farming solutions. Similarly, the fresh produce shelf-life extension market is expected to grow rapidly, with food waste reduction initiatives fueling demand for natural preservation technologies. Given the widespread use across farms, food processors, and retailers, our solutions tap into two high-growth and high-impact industries. This technology has shown significant effect on the health of plants and soils. Key differentiators include: Certified Organic and 100% free of synthetic chemicals Providing an effective solution along the entire value chain from pre- to post-harvest Trialed on a variety of different soil-grown crops   crop yield enhancer, agriculture, organic, hydroponic, shelf life enhancer Chemicals, Agrochemicals, Life Sciences, Agriculture & Aquaculture, Foods, Quality & Safety, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Food Security

Agricultural, organic and fruit-based side streams constitute approximately 85% of the total industrial food wastage. In most cases, these substantial side-streams are converted into pelletised bran for animal feeds while those not suited for consumption are disposed of through landfilling or incineration. These practices contribute significantly to carbon emissions, releasing toxins, greenhouse gases, and pollutants that are harmful to the local air quality. The technology on offer provides opportunities to repurpose agricultural and primary production side streams, as well as by-products from manufacturing and fruit-based processing through mechanical methods. The side streams are pre-treated through drying, grinding and cutting into manageable sizes prior to transforming them into a source of functional compounds to create green value-added products such as bio-composite materials, growing media, eco-friendly remedies, or sustainable packaging products. Made with natural bio-compatible and green ingredients, it can be applied to various types of side streams and can be broken down for reuse as feedstock when it no longer meets its application requirement. This technology provider is actively seeking R&D co-development and out-licensing of the developed IP to companies looking to produce and develop new products/applications using bio-composite materials derived from organic waste. These eco-friendly bio-composite materials have the following features: Formulated with bio-constituents, ensuring an environment-friendly green material Pelletised material options that provide adaptability, flexibility and versatility in application and product fabrication methods Designed for recyclability and reuse, contributing to resource efficiency, energy conservation, and circular economy Compostable and bio-degradable properties Anti-mold and anti-fungus functional benefits Customizable formulations tailored to different side stream sources (e.g., coffee grounds, fibrous fruits, rice stalks) and applications - possible for heterogenous side stream sources  Potential applications of this technology include (but are not limited to): Sustainable rigid or flexible packaging for consumers and personal care Eco-friendly alternatives to leather Agricultural uses such as hydroponic foams and plant pots Personal care consumables alternatives such as sponges and loofahs Household products such as tablewares, cutleries, stationeries Pet products, such as pet toys and accessories Fully customisable bio-based material derived from renewable sources Offers a green technology and inherently recyclable and/or compostable for a circular economy Scalable and cost-efficient production of new products with side stream as feedstock Sustainability, Waste Valorisation, Green Products, Green Materials, Bio-Composite, Upcycling, Side Streams, agriculture, circular economy, eco-friendly Materials, Composites, Bio Materials, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy

This technology provides a modular and scalable battery energy storage system, designed to optimize power usage in construction, industrial, and commercial applications. The system integrates Lithium Iron Phosphate (LiFePO4) battery technology, for the benefits on high energy efficiency, extended lifespan, and enhanced safety. The battery solution includes solar panel integration and pairing, allowing clean energy charging during the day whilst reducing grid dependence and usage of diesel generators. It addresses the challenge of unreliable and inefficient on-site power sources, replacing fuel-based systems with a clean, quieter, and a more cost-effective alternative. The system also supports remote monitoring via IoT, enabling real-time energy management, predictive maintenance, and optimized performance. This solution is ideal for construction companies, energy providers, and industrial facilities looking to enhance sustainability, cost savings, and operational efficiency especially in places were noise and space is a concern. The power solutions offer a range of models and customizations from 10 to 100 KVA, catering to diverse industry needs. Advanced Monitoring: Equipped with an IoT proprietary cloud-based system that provides real-time status tracking for enhanced performance and reliability. Fast Charging: Supports 0-100% charging in just 2 hours via AC power, ensuring minimal downtime. Modular & Scalable Design: Allows for daisy-chaining multiple units to seamlessly increase power output as required. Can be deployed at medical facilities, construction sites, industrial operations, and outdoor events that require off-grid, stable, and uninterrupted power solutions for critical applications. Construction Sites: Powers equipment, site offices, and lighting without relying on diesel. Industrial & Commercial Buildings: Provides backup power and supports peak load shaving. Renewable Energy Storage: Stores solar and wind energy for off-grid applications. Microgrid Systems: Enables decentralized energy distribution for remote sites. Ideal Collaboration Partners includes: Construction & Infrastructure Companies needing reliable power for site offices/off-grid deployment. Government & ESG-focused organizations aiming for net-zero emissions. IoT and Smart Energy Tech firms require reliable power solutions to keep their IoT devices and loggers running for extended periods.   Global energy storage market is projected to grow rapidly, with increasing adoption of clean energy alternatives in construction and industry. Governments and businesses are pushing for net-zero emissions, increasing demand for battery energy storage solutions and clean energy generation. Cost savings and automation make battery-based solutions more attractive than traditional fuel-based generators. Data Collection for carbon reduction and Sustainability reporting Zero Emissions & Noise-Free: A sustainable alternative to diesel generators, reducing the carbon footprint and improving on-site air quality. Remote Monitoring & Automation: IoT-enabled system with predictive analytics for real-time energy tracking and improved efficiency. Compact, Mobile & Scalable: The battery generators are lightweight, portable, and optimized for flexible deployment, making them ideal for site offices, EV equipment charging, and night work. Tailored Solar & Battery Solutions: Customized battery generators and solar panel specifications based on each client’s unique needs, ensuring optimal energy efficiency and cost-effectiveness. Energy, Battery & SuperCapacitor, Infocomm, Internet of Things, Sustainability, Sustainable Living, Low Carbon Economy

As global solar adoption grows, photovoltaic (PV) system underperformance and degradation remain key challenges, impacting energy yield and financial returns. Solar PV systems degrade over time due to factors related to manufacturing defects, environmental exposure and poor maintenance. While targeted interventions exist to mitigate specific degradation mechanisms, the primary challenge lies in accurate diagnosis. Traditional diagnostic methods, such as drone-based thermal imaging and on-site inspection, are often hardware-intensive and costly, limiting their scalability for large solar portfolios. To address these challenges, the technology owner has offered an AI-powered hardware-agnostic software platform that analyzes inverter data to identify degradation mechanisms and assess PV system health. Leveraging advanced machine-learning algorithms, the platform can evaluate degradation rate, system inefficiencies, and root causes of underperformance, providing solar asset owners with real-time insights and actionable recommendations to optimize system performance. The solution goes beyond simple diagnostics, it integrates financial modeling and power output forecasting to help users make data-driven decisions to maximize energy yield and their solar investment returns. The technology owners are actively seeking collaborations with solar operation & maintenance (O&M) providers aiming to enhance their maintenance packages with AI-driven PV health check and predictive diagnostics. No Additional Hardware Required: Utilizes existing inverter data, eliminating the need for extra hardware and associated costs AI-Driven Diagnosis: Proprietary machine-learning models analyze historical power output data to identify degradation mechanisms and root causes, ensuring timely and precise assessment Financial Modeling & Projections: In-depth economic assessments help users evaluate cost-effective remedial actions Automated Health Reports: Users can upload inverter data and receive comprehensive system report detailing system’s health, degradation rates and optimization opportunities Actionable Insights: Based on expert analysis, provides a list of tailored actions to rectify identified issues, facilitating effective system optimization Seamless O&M Integration: Solar O&M providers can incorporate the software into their service offerings to enhance customer engagement and operational efficiency Solar O&M Providers: Enhance maintenance packages by providing clients detailed system health reports, including degradation insights, power output analysis, and system optimization recommendations, enhancing customer engagement and their service differentiation Solar Asset Owners & Investors: Enables independent system assessment and data-driven decision-making to improve solar PV performance and maximize long-term returns Renewable Energy Consultants: Leverage the software for advanced solar PV performance audits and system health diagnostics Hardware-Agnostic: Extracts insights directly from existing inverter data, eliminating the need for costly hardware like drone imaging Cost-Effective & Scalable: Offers an affordable, scalable alternative for health assessments without high-cost diagnostics Proactive Maintenance & Optimization: Identifies early warning signs to minimize downtime and operational disruptions Data-Driven Decision Support: Provides actionable insights and financial projections to empower informed decision-making inverter data analysis, degradation causes, diagnostic software, solar system health, system performance, solar asset management Infocomm, Artificial Intelligence, Energy, Solar

Tradtional oil sludge treatment methods typically involve multi-stage processes, including dewatering, drying and incineration, which are energy intensive, costly and inefficient in recovering valuable hydrocarbons. These conventional methods struggle with high oil/ water content sludge, requiring excessive pre-treatment. High operational costs, and environmental concerns.  The multi-layer spiral thermal pyrolysis desorption system addresses these challenges by eliminating the need for pre-drying, efficiently processing sludge with varying compositions, and optimizing hydrocarbon recovery. The technology is particularly valuable to oil refineries, petrochemical plants, tank cleaning operators and palm oil processing industries, enabling them to enhance resource recovery, reduce waste disposal costs, and company with environmental regulations. The oil content upon pyrolysis is between 0.3% - 2%.  The technology owner is looking for collaborations with oil field customers, hazardous waste centers, and wastewater treatment plants for R&D collaboration, test bedding, licensing or IP acquisition.  The Multi-Layer Spiral Indirect Thermal Pyrolysis Desorption System is deisgned for efficient sludge treatment and hydrocarbon recovery, integrating multiple advanced components: Transfer Feeding Unit: Efficient material intake and handling  Pyro-Desorption Unit: Indirect gradient heating for thermal separatino of hydrocarbons  Pyrolysis Gas Treatment Unit: Separates and recovers valuable hydrocarbons while managing emissions  Thermal Energy Supply Unit: For precise heat control  Discharging & Cooling Unit: Minimizing secondary contamination  Circulating Water System: Enhances energy efficicency by recycling heat  Exhaust Flue Gas Treatment Unit: Incoporates filtration gas and gas neutralization to comly with environmental standard Additionally, it adapts widely to a range of material, posesses high processing capacity and efficiency with a fully sealed and safe deisgn  Oilfield Industry - Treatment of drilling mud, oil-based cuttings, and production sludge generated during exploration and extraction process  Refining & Petrochemical - Processing oil sludge from refineries, chemical plants, and petrochemical storage facilities  Storage Industry - Managing sludge accumulation in storage tanks, pipelines, and tank cleaning operations  Palm Oil Processing - Recovery of residual palm oil from palm oil mill effluent sludge Hzardous Waste Treatment Centers - Handling high-viscosity, high-liquids-content industrial sludge and contaminated solid waste The global sludge treatment market is growing due to stricter environmental regulations and sustainable waste management needs. The market for sludge treatment chemicals is projected to grow from $5.03B in 2022 to $8.02B by 2032 (CAGR 4.4%), while the oil sludge treatment equipment market is expected to rise from $795M in 2023 to $1.185B by 2030 (CAGR 5.8%). These trends present strong market opportunities for advanced technologies like the multi-layer spiral thermal pyrolysis desorption system to enhance efficiency, hydrocarbon recovery, and environmental compliance across industries. No Pre-Drying Required – The system directly processes high- liquid-content sludge, reducing energy consumption and operational complexity High Hydrocarbon Recovery – Optimized pyrolysis with indirect gradient heating ensures higher recovery rates of valuable oil, maximizing resource efficiency Wide Material Adaptability – Effectively handles high-viscosity, high-water-content, and toxic sludge, making it versatile for oil refineries, petrochemical plants, and hazardous waste centers Integrated, Cost- Effective Solution – Combines pyrolysis, gas treatment, quenching and emissions control into a single automated system, lowering processing costs and improving efficiency Eco-friendly & Compliant - Advanced exhaust gas treatment minimizes emissions, ensuring compliance Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy

The global diabetes prevalence is estimated to be 9.3% in 2019 and is expected to rise to 10.9% by 2045 [1]. Although there is no cure for diabetes, regular blood glucose monitoring and appropriate medication can control the symptoms. Electrochemical glucose meters are accepted as being the most accurate and reliable glucose measurement devices. However, they are invasive and patients need to take three to six measurements daily. As a result, their nervous system may be damaged due to long-term usage. There are several proposed approaches for non-invasive glucose monitoring, mainly based on optical, transdermal and electrochemical techniques. Due to the nature of these technologies, the proposed approaches are not suitable for continuous monitoring. This technology is a wearable sensor that makes use of transmission line implemented using a microstrip working at microwave frequencies to measure blood glucose non-invasively and continuously. The technology owner is looking for licensees to commercialise this technology. [1] Saeedi, P., et al. (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045. Diabetes Research and Clinical Practice, 157, 107843. This technology is developed based on the fact that the change of the glucose level in blood alters the electrical properties (permittivity and conductivity) of the tissues at the target site. It is realised by having a microstrip line (MLIN) built around a finger with the finger serves as the substrate of the MLIN. Signal is input from the tip of the finger. The signal line is on one side of the finger, and the ground plane is on the other side. The return loss of the microstrip is then measured to determine the glucose concentrations. In this approach, the sensitivity is increased significantly by: the dense field between the transmission line and the ground plane for sensing; and the patterned transmission line and patterned ground plane. The sensor can be worn as a ring, finger stall or bracelet. Other similar products have low penetration depth, and their readings are affected by factors such as body temperature and hydration. The technology enables continuous, non-invasive monitoring of glucose levels in diabetic patients, offering a reliable, efficient, and patient friendly solution. The non-invasive glucose meter market, valued at USD 165.41 million in 2022, is projected to grow at a CAGR of 8.65%, reaching USD 321.22 million by 2030 [2]. This growth is fuelled by increasing demand for personalised and data-driven diabetes management solutions. Advancements in big data analytics and artificial intelligence are transforming the market, enabling real-time glucose monitoring and tailored hypoglycemic control based on individual lifestyle and health data. These innovations address a critical need for non-invasive, patient-friendly solutions that enhance diabetes management while reducing the discomfort and limitations of traditional methods. With the introduction of such cutting-edge technologies, there is a significant opportunity to capture market share by meeting the growing demand for efficient, AI-driven glucose monitoring devices that empower both patients and healthcare providers. [2] Data Bridge Market Research. Global Non-Invasive Glucose Meter Market. Retrieved from Data Bridge Market Research. This technology offers a non-invasive alternative method, which could be used to develop a continuous glucose monitoring sensor device with high sensitivity. Glucose monitoring, CGM, Non-invasive, Glucose meter, Microstrip line Healthcare, Medical Devices