TECH OFFERS

Currently flour, gelatin, butter, and sugar are commonly employed as binding agents in various culinary applications, such as nut bars, waffles, and fried food batters. However, this conventional practice raises significant concerns regarding health implications (gluten allergy, lactose intolerant)  and sustainability. This technology is a novel Konjac-based alternative to supplant conventional binding agents, which is diabetic-friendly, gluten-free and has a low calorie content. This healthy and powerful dietary binder allows the user to design various shapes and textures of foods and can be used in recipes for consumers with dietary restrictions. Able to bind and mould different ingredients together. Able to modify other ingredients' textures. Able to withstand extreme temperature from -20 ° to 121° and maintain the shape and texture of the product, which is more versatile than agar and gelatin. Free of preservatives, mixture needs to be stored cool or vacuum packed The potential applications of this Konjac-based product offer several solutions to dietary restrictions worldwide. It can replace ingredients such as sugar as a binder for diabetic or health-conscious individuals, as well as gelatin and butter to make recipes vegan-friendly. It is easy to integrate into the conventional food manufacturing processes, suitable for all culinary applications from large production to small kitchens. This product can be used by medical professionals to minimize their workload and make it possible for them to accommodate a patient's dietary restrictions without compromising the patient's health or taste. The Current Market size for the Food Binders Market is about $7.41 billion USD and is projected to reach $13.12 billion USD in 2030.  This intellectual property can be easily incorporated into any kind of operation especially the health food industry, making it easily accessible, without comprising any health implication to aid medical professionals and could influence the food substantiality market for a better outcome. Using the product will not affect the taste of the other ingredients More versatility in application, addressing challenges in process parameters and dietary restrictions,  Maintain the texture and shapes for a longer time than traditional food binders   Konjac, Dietary Binder, Future Food, Food Texture, Food Shape Personal Care, Nutrition & Health Supplements, Foods, Ingredients

Cognitive dysfunction and impairment are increasingly prevalent due to aging, neurological conditions, and lifestyle-related factors. These issues can significantly affect memory, attention, and mental well-being, reducing quality of life and increasing long-term healthcare burdens. Traditional interventions—such as medication, physiotherapy, and psychotherapy—often face limitations in engagement, adaptability, and measurable outcomes. This virtual reality + artificial intelligence (VR+AI) Cognitive Therapy & Rehabilitation Platform offers an innovative, science-backed alternative that enhances the way cognitive impairments are managed. Through immersive, interactive virtual reality experiences, patients engage in targeted exercises that stimulate brain functions in a dynamic, gamified environment. The platform is designed to improve cognitive function, memory, and emotional health by encouraging active participation and consistent therapy adherence. Validated in clinical settings, this technology enables more engaging and effective cognitive rehabilitation while reducing dependency on one-on-one therapist-led sessions. It presents significant opportunities for collaborative development and clinical research in the fields of neurology, mental health, and geriatric care. Collaboration partners may explore joint clinical trials, co-creation of specialized therapy modules, and integration with broader digital health ecosystems to extend the platform’s reach and impact. Different forms of solution catered for hospital or home use are available. Different modules and system for use in hospital or home-based setting.  VR Therapy Modules: Includes attention training, memory enhancement, and exposure therapy for cognitive rehabilitation. AI-Powered Diagnostics: Incorporates eye movement analysis, EEG-assisted evaluations, and HRV-based depression diagnosis. Interactive & Immersive Training: Utilizes multi-person training and highly immersive VR scenes for realistic treatment experiences. Digital Therapy Roadmap: Features a digital treatment library, including customized therapy plans and a research-backed framework. This multi-functional VR+AI platform is tailored for diverse populations: Children with developmental disorders, such as those on the autism spectrum, benefit from engaging, gamified environments that build core cognitive and social skills. Adolescents, particularly those under academic stress, receive personalized mental health support and cognitive training to enhance focus, emotional regulation, and performance. Adults and the elderly experiencing cognitive decline due to neurological conditions or brain injuries engage in targeted rehabilitation to train patients in skills such as execution ability, memory, and spatial orientation.  Individuals in clinical, community, and corporate environments can undergo accurate, private psychological assessments, enhancing early detection and mental wellness support from the psychological assessment module.  Potential applications include:  Physical & Cognitive Rehabilitation: Post-stroke rehabilitation, cognitive impairment therapy Sleep Therapy & Stress Management: VR-assisted relaxation, mindfulness therapy, breathing practice to relieve stress.  Mental Health & Psychiatry: Psychological assessment, therapy modules to improvment of depression, anxiety, phobias, schizophrenia.  Personalized Digital Therapy: Therapy modules tailored to patient needs. Serves as a digital therapeutic to complement traditional use of drugs.  Enhanced Patient Engagement: Immersive VR experiences encourage active participation in cognitive and physical rehabilitation. Data-Driven Insights: Uses big data analytics & AI modeling for precision diagnostics.  Cost and Time-Saving for Medical Professionals: Applicable for use in hospitals where it offers a one-to-many rehabilitation form and allows for remote monitoring.  VR, Cognitive Therapy, Rehabilitation, Virtual Reality, Mental Health Healthcare, Medical Devices, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

The AI-Enhanced Smart Spectacles integrate camera-based eye tracking, photoplethysmography (PPG) sensors, and electroencephalography (EEG) sensors into a lightweight and comfortable spectacle frame. This multi-modal data collection system enables real-time monitoring of eye movement, brain activity, and heart rate, offering deep insights into a user's cognitive state, stress levels, and overall neurological health.   Using AI-driven analytics, the system can detect early signs of stress-related vision problems, cognitive fatigue, and mental health disorders, providing preventive interventions before symptoms manifest. A key focus is helping teenagers avoid vision fatigue and prevent anxiety and depression by offering early detection and proactive recommendations.   In addition, it offers a multi-model approach with a health assessment machine,  a stationary diagnostic unit designed for in-depth cognitive and emotional health evaluations. This machine leverages AI-driven analytics to integrate facial expression recognition, pulse waveform analysis, eye movement tracking, and neural activity assessment, offering high-precision mental and neurological health diagnostics. It serves as an advanced assessment tool in clinics, schools, and corporate wellness programs, allowing detailed stress profiling and personalized intervention recommendations.   This non-invasive, wearable AI solution is designed for healthcare, education, and corporate wellness applications, ensuring continuous well-being monitoring for users in their daily lives. The technology owner is looking for potential licensing and use-case collaborations in Singapore.  Smart Spectacles: AI-Integrated Stress & Vision Health Monitoring Sensor-Embedded Spectacle Frame – EEG sensors, eye-tracking cameras, and PPG sensors are discreetly placed on the spectacles, collecting real-time physiological data from the ear-side region for accurate brain activity, heart rate, and eye movement analysis. AI-Powered Cognitive & Emotional Analytics – Detects stress-induced vision fatigue, cognitive overload, and mental health risks. Provides early warnings and intervention strategies for teen vision health, anxiety prevention, and workplace stress reduction. Seamless Wearability & Cloud Connectivity – Lightweight, ergonomic design for all-day wear, with secure wireless data synchronization to wellness and productivity platforms. Multi-Modal Health Assessment Machine: AI-Based Cognitive & Stress Evaluation Advanced Multi-Sensor Data Collection – Combines facial expression recognition, pulse waveform analysis, neural activity assessment, and gaze tracking for comprehensive stress and cognitive health diagnostics. Deep AI-Driven Analytics – Processes multi-modal inputs to generate detailed emotional and cognitive state reports, helping healthcare professionals, educators, and employers detect early signs of anxiety, burnout, and cognitive fatigue. Clinical-Grade Accuracy – Designed for hospitals, mental health clinics, educational institutions, and corporate wellness programs, offering data-backed intervention strategies before stress-related health problems worsen. ​​​​​​Healthcare & Mental Wellness: Supports psychiatrists, psychologists, and optometrists in detecting stress-induced cognitive and vision impairments. Offers preventive interventions for anxiety, depression, and vision fatigue. Teen Vision & Mental Health Protection: Smart spectacles help students monitor screen-induced vision strain and AI-guided interventions prevent mental stress-related disorders. The multi-modal machine enables schools and mental health professionals to perform deeper evaluations and early interventions. Corporate & Workplace Productivity: Wearable smart glasses allow employees to track cognitive load, stress levels, and eye fatigue, while the assessment machine provides comprehensive stress risk analysis. Helps HR teams enhance workplace wellness strategies to reduce burnout and improve productivity. Education & Learning Enhancement: Real-time cognitive load monitoring supports personalized learning strategies, reducing exam stress and digital fatigue. Most Seamlessly Integrated AI-Powered Smart Spectacles for Stress and Cognitive Health Monitoring – Unlike existing smart glasses with bulky external sensors, this technology miniaturizes EEG, PPG, and eye-tracking sensors into a lightweight and ergonomic spectacle frame, providing continuous real-time monitoring without discomfort. Discreet, Everyday Wearability – Unlike traditional brain-computer interfaces (BCIs) or head-mounted EEG devices that require scalp electrodes or intrusive hardware, this system looks and feels like regular eyewear, making it ideal for long-term, non-intrusive health tracking in real-world settings. Advanced AI-Driven Cognitive & Emotional Health Analytics – Uses deep-learning algorithms to analyze brain activity, stress responses, and vision strain, offering personalized recommendations for early intervention against vision fatigue, anxiety, and cognitive overload. Holistic Multi-Sensor Data Fusion – Unlike other smart glasses that focus only on eye tracking or basic biometric signals, this system integrates brainwave monitoring (EEG), cardiovascular stress tracking (PPG), and gaze analysis (camera-based eye tracking) to provide a comprehensive view of cognitive and emotional well-being. Designed for Everyday Use Across Multiple Applications – Seamlessly integrates into healthcare, workplace wellness programs, education, and personal health monitoring, offering real-time stress reduction strategies, cognitive load assessment, and vision health tracking. AI, Cognition, Emotion, Neurotech, Smart Spectacle, Mental Health Healthcare, Telehealth, Medical Software & Imaging, Sustainability, Sustainable Living

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

The demand for cost-effective and efficient vibration monitoring solutions is increasing due to growing concerns about disaster preparedness, infrastructure resilience, and industrial safety. As investments in smart cities, transportation infrastructure, and industrial automation expand, the need for real-time, accessible, and affordable monitoring solutions is becoming more critical to ensuring safety and operational efficiency. To address these challenges, the technology owner has developed a highly versatile and low-cost vibration sensor that provides real-time, multi-axis vibration data monitoring with high sensitivity and accuracy - at a significantly lower cost than existing commercial solutions. This sensor is particularly suited for applications requiring high precision and stability, including inertial measurement units, platform stabilization systems, industrial machinery diagnostics, and transportation and environmental monitoring. Unlike traditional vibration monitoring systems, which often require expensive proprietary software and complex installation, this user-friendly solution enables both professionals and non-specialists to access real-time data via a standard web interface, eliminating the need for specialized software. The technology owner is seeking collaborations with government agencies, civil engineering firms, construction companies, transportation authorities, industrial monitoring services, and research organizations to deploy and scale this innovation. This vibration monitoring sensor is built on low-power, low-noise MEMS technology and offers: High sensitivity and multi-axis vibration detection for accurate data collection Real-time monitoring accessible via a standard web browser, eliminating the need for proprietary software Versatile deployment across multiple scenarios, including urban infrastructure, industrial facilities, and remote sites Seamless integration with existing monitoring systems for enhanced data-driven decision-making Modular and customizable design, suitable for both large-scale infrastructure projects and localized vibration analysis Compact and lightweight design, requiring minimal installation space Easy-to-Install: requiring only a power connection and internet access Intuitive graphical user interface (GUI) for effortless operation without programming expertise This vibration sensor is designed to enhance safety, efficiency, and infrastructure resilience across various industries. Its real-time, high-sensitivity monitoring enables proactive risk management and operational optimization in the following areas: Disaster management: Early detection and warning of earthquakes, unstable terrain, landslides, and structural instability Structural health monitoring: Preventive maintenance and integrity assessments for bridges, tunnels, and high-rise buildings Industrial vibration monitoring: Equipment condition tracking, predictive maintenance, and operational efficiency optimisation Transportation monitoring: Traffic vibration analysis and stability assessment of roads, railway tracks, and bridges Cost-effective: 30-40% lower than commercial alternatives High accuracy & sensitivity: Detects minute vibrations with superior performance Versatile & customisable: Adaptable to various applications and industry requirements User-friendly & easy deployment: No specialized software required Vibration Monitoring, Low-Cost Sensor, Disaster Management, Traffic Vibration, Construction Monitoring,, User-Friendly Sensor, Real-Time Monitoring, Structural Health Monitoring Electronics, Sensors & Instrumentation, Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Green Building, Sensor, Network, Building Control & Optimisation

Currently, the practical application of wireless power transmission is advancing, particularly for smartphones, and is expected to expand to more electronic devices. However, traditional magnetic field-based wireless power transmission requires close-range alignment between the transmitter and receiver, meaning devices must be placed in specific locations for charging. In contrast, microwave-based power transmission enables long-distance energy transfer but is limited by concerns about its effects on humans and interference with other communication devices. A newly developed electric field coupling-based wireless power transmission technology overcomes these challenges by allowing high-power transmission without requiring precise alignment. This innovation enables flexible power delivery to various electronic devices across broad surfaces, such as desks and floors. The technology owner is seeking collaboration partners, such as electronic and electric manufacturers, as well as service providers, for consumer or business applications. Low-Cost, Large-Scale Planar Element: By utilizing a new electric field coupling method, a power transmission system can be achieved without the need for complex transmission coils. Thin, flat electrodes made of printed circuit boards (PCBs) are arranged in an array, enabling a cost-effective, large-area planar power transmission element. High-Efficiency Power Supply Circuit: This innovative circuit technology draws power from the receiver side, enabling power transmission only at the receiver's location. This minimizes leakage to the surroundings and achieves a more efficient power supply compared to conventional electric field coupling methods. As a result, the system can safely transmit large amounts of power. This technology serves as a reliable power source for devices that face challenges with charging operations or power cord management. On Desks: Simultaneously powers multiple electronic devices. On-Site Work: Enables bulk charging of devices like power tools. Moving Objects: Supports in-motion charging for robots and AGVs. Office Use: Provides layout-free power supply for electronic devices and furniture. Additionally, this technology can be applied in various scenarios that leverage its key features, such as simultaneous power supply to multiple devices, wireless power delivery to moving objects, and layout-free charging. The technology allows charging devices to receive power freely over a large area without requiring precise positioning. It enables layout-free charging, is unrestricted by the location of power outlets, and supports simultaneous charging of multiple devices. Safe and high-power charging of up to approximately 50W, allowing the charging of devices with various power requirements within the same system. Supported devices include smartphones, laptops, displays, lights, small robots etc.  Wireless Power Transfer, WPT, Wireless Power Supply, Wireless Charger, Power transmitter, Power Receiver Infocomm, Wireless Technology

The leather industry faces increasing challenges due to its high environmental impact and ethical concerns. Traditional leather production drives deforestation, greenhouse gas emissions, and water pollution, while the tanning process involves toxic chemicals. Synthetic alternatives, often made from PU or PVC, contribute to microplastic pollution and long-term waste. As industries seek sustainable and ethical alternatives, the demand for eco-friendly materials is rising.  This innovation introduces mycelium-based leather, a biodegradable, non-toxic, and low-carbon alternative. Cultivated using agricultural waste as a substrate, it eliminates the need for livestock farming, excessive water use, and harmful chemicals. The result is a high-performance material that mimics the look, feel, and durability of traditional leather while being sustainable and scalable.  Ideal for fashion, footwear, automotive, and upholstery industries, this technology meets the growing demand for eco-friendly and ethical materials. With customizable properties and scalable production, it offers a viable alternative for brands looking to reduce their environmental footprint without compromising on quality or aesthetics.  The technology owner is looking for R&D collaborations and test-bedding partners to develop new products.  This mycelium-based leather is engineered for strength, flexibility, and durability, making it a high-performance alternative to traditional leather. It resists tearing, stretching, and abrasion, ensuring longevity even under frequent use. The material remains crack-free and flexible over time, making it suitable for applications requiring both durability and comfort.  Its colorfastness properties ensure that the material retains its color and texture, even after washing, exposure to sweat, and prolonged wear. It is resistant to staining and fading, maintaining a premium appearance over time.  From a sustainability and safety perspective, this leather is free from harmful chemicals and has natural insulating properties, making it suitable for various applications. It is also fully biodegradable, decomposing naturally within a short period, unlike synthetic leather, which contributes to long-term plastic waste.  With a significantly lower carbon footprint compared to traditional leather, this innovation provides an eco-friendly and scalable solution for industries seeking high-quality, sustainable materials without compromising on performance or aesthetics.  This mycelium-based leather technology can be deployed across multiple industries that require durable, flexible, and sustainable materials.  Fashion & Accessories  Footwear, handbags, wallets, small leather goods, apparels  Automotive & Transportation  Car seat upholstery, steering wheel, dashboard covering, seat interiors Consumer Electronics  Smartphone cases. smartwatch straps. laptop sleeves and accessories  Furniture & Interior Design  Upholstery for chairs and sofas  Luxury Goods & Packaging  Branded accessories for premium products  The global leather goods market is projected to reach USD 470 billion by 2025, with a 7% CAGR, while the leather alternatives market is valued at USD 150 billion. The mycelium leather market is expected to grow from USD 106 million to USD 5.6 billion by 2028-2030, signaling strong industry adoption.  Sustainable & Circular – Biodegradable, plastic-free, and low-carbon, offering a cleaner alternative to animal and synthetic leather.  Regulatory & Consumer Shift – EU and US restrictions on animal and PU/PVC-based leather are driving demand for ethical, low-carbon materials.  High Performance & Cost-Effective – Matches traditional leather in durability and aesthetics, with a lower environmental impact and scalable production. Expanding Adoption – Growing investment in bio-materials across fashion, luxury, automotive, and furniture industries, creating B2B collaboration opportunities.  Key Advantages Over Animal Leather  Sustainable Production – No livestock farming, reducing land use by 100x, water consumption by 90%, and carbon emissions by 42%.  Chemical-Free Tanning – No toxic chromium or heavy metals, preventing water pollution.  Ethical & Cruelty-Free – No animal slaughter, aligning with the demand for ethical and sustainable fashion.  Key Advantages Over Synthetic Leather (PU/PVC)  Plastic-Free & Biodegradable – Fully biodegrades within 90 days (ISO 14855-1), unlike PU/PVC, which contributes to microplastic pollution.  Lower Carbon Footprint – Made from upcycled agricultural waste instead of fossil fuel-based materials.  Non-Toxic & Safe – Free from harmful solvents and chemicals, ensuring safer consumer use.  Why Mycelium Leather?  Scalable & Customizable – Easily grown and processed, with adjustable thickness, texture, and color.  Durable & High-Performance – Matches animal leather in strength, flexibility, and longevity, without cracking or peeling.  mycelium leather, sustainable alternative, animal-free, ethical fashion, vegan leather, next-gen textiles Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Sustainable Living, Low Carbon Economy

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