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.

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. 

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.  

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.

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.

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. 

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.

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.

With the focus on food security and sustainability, urban farming is gaining traction in Singapore. Most farmers who are new to the industry still rely heavily on pesticides for pest control and crop protection. Although effective, the use of pesticides pose several concerns such as: Health and Environmental Risks: Pesticide residues in food pose potential health hazards, while excessive use can lead to soil degradation, water contamination, and harm to beneficial insects and biodiversity. Regulatory and Market Pressure: Stricter regulations on pesticide use and growing demand for organic and naturally grown produce create the need for sustainable solutions. In addition, the educated consumers increasingly prefer pesticide-free vegetables, thereby driving the need for natural alternatives. Biological solutions such as biofertilizers, bionutrients, and biostimulants offer a promising alternative to agriculture. These solutions can: Enhance Plant Growth: Improve nutrient uptake and plant resilience through naturally derived growth stimulants. Improve Soil Health: Support microbial activity and enhance soil fertility without chemical degradation. Reduce Dependence on Chemical Fertilizers and Pesticides: Provide natural pest resistance and nutrient supply. Promote Sustainable Production of Asian Leafy Greens: Crops such as bak choy, butterhead lettuce, and spinach Farmers are seeking to collaborate with companies with biological solutions to run validation trials in their farms.

Agricultural activities in Asia Pacific region generate significant amounts of manure from various farming operations, including: Layer Hens: A layer hen produces approximately 0.08–0.12 kg of manure per day. Cattle Farming: Dairy and beef cattle generate an average of 30 kg of manure per day per animal. Pig Farms: Pigs produce about 2–4 kg of manure per day. Manure accumulation presents several environmental and operational challenges such as odour pollution, water contamination, greenhouse gas emissions and pathogen proliferation. Despite these challenges, manure has significant potential when processed effectively. It can be converted into valuable resources such as: Biogas & Bioenergy Biochar & Carbon Sequestration Organic Fertilizers and Soil Conditioners Farms have found solutions that produce good quality fertilisers and soil conditioners with their manure. However the amount of manure generated is more than what they can use and would like to work with innovation technologies to manage and convert their farm's manure efficiently. 

According to the Health Promotion Board (HPB) in Singapore, 90% of Singapore residents' consumption of sodium exceeds the daily recommended intake, with the average consumption at 3620 mg, nearly double of the recommended 2000 mg per day. As a result, one in six Singapore residents report health problems like hypertension and hypolipidaemia. In an effort to curb this, HPB launched the "Less Salt, More Taste" campaign in 2024 to encourage the food manufacturing and food service industry to change their recipes and add less salt and sauces, or switch to use lower-sodium alternatives for salt, sauces and seasonings. Manufacturers are also encouraged to increase the supply of lower-sodium ingredients for the food service sector. Consumers are also encouraged to choose low sodium options, or use less salt in their home cooking. This sodium reduction strategy aims to reduce Singaporeans’ sodium intake by 15% by 2026.   

Satay has been a beloved comfort food for generations of Singaporeans. To meet the ever-growing demand, one satay business is looking to automate its production to ensure consistent supply while maintaining operational excellence. By embracing automation, the goal is to streamline processes, increase efficiency, and continue delivering the same high-quality satay that customers know and love. The satay company is seeking to work with automation companies to design an equipment portion and line the meats for skewering. 

Supported by the government’s "30 by 30" initiative, Singapore aims to produce 30% of its nutritional needs by 2030, emphasising sustainability in its food production practices. A local fish farm believes in eating well and respecting the environment, where fish are given space to swim in the ocean with tides and currents. These fishes are farmed without any growth enhancements. More than 70% of the farm is made of reused materials and we use renewable solar energy for power. Milkfish is a hardy fish to farm. However, with over 200 tiny bones, it has not gain popularity with consumers. Manual removal of these bones are labour intensive. Therefore, the local fish farm would like to work with automation companies to customise an equipment to automate the deboning process of milkfish.