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.

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.  

Vision-based Artificial Intelligence (AI) models require substantial time to train, fine-tune and deploy in production. After production, this process is still required when performance degrades and re-training on a new dataset becomes necessary; this maintenance process exists throughout the model's lifetime to ensure optimal performance. Rather than embarking on the time-consuming and painful process of collecting/acquiring data to train and tune the AI model, many organisations have turned to the use of pre-trained models to accelerate the AI model development process. This technology consists of a suite of pre-trained models that are intended to detect food, human behaviours, facial features and count people. These AI models are operable on video footage and static images obtained from cameras. Models are tuned and trained on various use-cases and are accessible via API calls or embedded within software as a Software Development Kit (SDK) library. These models can be deployed as AI as a Service on Microservices platform providing customer data protection with blockchain technology. With customer protection enhanced with blockchain technology, AI Model performance can further be enhanced to meet customer requirement.  

This advanced AI art creation platform offers an efficient and accessible solution for generating high-quality digital artwork. Developed with the needs of artists, designers, and content creators in mind, the platform streamlines the creative process through key features such as text-to-image, image-to-image, text-to-video, and conditional image generation. By integrating state-of-the-art AI models with a user-friendly interface, it enables users to produce professional-grade visual content without the need for extensive technical expertise.

Globally, the average daily salt intake is 10.8g—more than twice the WHO’s recommended limit—leading to widespread health issues. In Singapore, 90% of residents consume nearly double the recommended sodium intake, contributing to prevalent health concerns like hypertension and dyslipidemia. Reducing sodium intake is a cost-effective way to enhance public health. However, simply lowering salt content arbitrarily can result in an unacceptably bland taste and compromised flavor stability. Potassium chloride (KCl) is commonly used as a salt substitute, but it has a bitter aftertaste and poses potential health risks, particularly for individuals with kidney disease or those on specific medications. This technology aims to reduce sodium intake with a natural rice umami extract, developed using advanced sodium reduction technology without MSG or alternatives(KCI). This innovative approach amplifies the salty taste sensation, and ensures the natural umami of rice is extracted to its fullest potential. As a result, this technology not only enhances flavor delivery but also promotes healthier consumption by reducing sodium intake without compromising taste.

Facing the dual challenge of high energy consumption and the need for effective air purification in urban environments, this solution optimizes air filtration in HVAC systems. By employing advanced sound wave technology, the specialized emitter agglomerates fine airborne particles, making them easier to capture and significantly reducing the pressure drop across air handling units. This method not only lowers energy usage but also extends filter lifespan, cutting operational costs and maintenance needs. Ideal for building operators and industries that prioritize energy efficiency and superior indoor air quality, such as commercial real estate, hospitals, and manufacturing facilities, this system meets stringent G4 filtration standards and achieves performance levels equivalent to MERV 13 and MERV 14 filters.  The technology presents a cost-effective solution that significantly enhances HVAC performance and air quality, positioning itself as a sustainable investment for facilities dedicated to optimizing operational efficiency and environmental health. It improves motor energy consumption by up to 45%, while also enhancing air quality and reducing operational costs in HVAC systems. The technology owner is actively seeking collaboration partners for research and development, as well as opportunities for test-bedding within the HVAC systems field to enhance indoor air quality.

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.

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.  

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. 

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.