The cement industry faces significant challenges, including durability issues, high CO₂ emissions (up to 8% of global emissions), and costly maintenance, particularly in harsh environments like marine and industrial settings. Infrastructure in such conditions suffers a 20-40% reduction in service life, contributing to over $100 billion in annual global repair costs. Addressing these issues, a nanotechnology platform has been developed to create next-generation green cements. These cements utilize nano-engineering and low-energy geo-engineering, converting waste and low-value materials into sustainable, high-performance solutions.  Products:  Type A: Geopolymeric Mortar for Repair and Protection  Crack repair, surface protection and insulation panels. High compressive strength, 2x lifespan of traditional cement, fire resistant and impermeable to water/chemicals. Type B: Eco-cement Marine ecosystems, precast blocks and reef regeneration. High compressive strength, marine compatible and captures CO2. Both cements are VOC free, recyclable, and suitable for extreme environments. Next-gen developments include lightweight, CO2-capturing, and sensor integrated materials, advancing sustainable construction.  The technology owner is seeking collaboration opportunities with cement manufacturers for co-pilot testing, R&D co-development, or technology licensing partnerships, aiming to revolutionize the cement industry through innovative, sustainable solutions.  

Patients recovering from brain injuries or neurological disorders often experience a plateau in recovery within 6-12 months, even though they haven't fully regained their abilities. Similarly, athletes face stagnation in their performance or increased risk of injury when pushing to new levels. These challenges stem from underlying maladaptive neuro-muscular patterns that are not adequately addressed by conventional methods. This neuro-integrative wearable technology provides a breakthrough solution by giving users an “inside view” of their brain and muscle responses in real-time as they perform tasks. By monitoring these responses, the system helps users to self-correct maladaptive behaviors that are limiting their recovery or performance. This process allows users to break through recovery plateaus or avoid performance stagnation by training both brain and muscle function in unison. Beyond aiding in recovery, this wearable is also suitable for new patients and novice athletes seeking a faster track to recovery or peak performance without relying on traditional trial-and-error methods. The technology can be applied across various populations—children, adults, and the elderly—to help improve recovery from disabilities, enhance learning, boost performance, or even slow down the natural decline in abilities with age. The device is portable, easy to use, and adaptable for a variety of settings including hospitals, schools, nursing homes, and home environments. Its potential applications are expanding, with uses in stress disorder prevention, injury prevention, and improving self-regulation in children and adults with special needs. The tech owner is seeking collaboration with: Rehabilitation facilities offering neurorehabilitation for stroke and brain injury recovery. Sports performance centers aiming to prevent injuries and optimize athlete performance. Educational institutions focused on enhancing cognitive, physical and learning development.

The Malabar snapper (Lutjanus malabricus) is a highly sought-after carnivorous fish species, extensively cultured in Singapore and the Indo-Pacific region. Despite its aquaculture significance, no commercial feeds specifically designed to meet its nutritional requirements are available. Instead, production relies on generic diets, which are not cost-effective nor optimized for Malabar snapper’s growth and well-being. This existing practice not only drives up feed costs but also hampers productivity and increases the species' vulnerability to diseases. To address these challenges, a tailored feed formulation for Malabar snapper has been developed to minimize reliance on fish meal by incorporating cost-effective, locally sourced alternative protein ingredients. This innovative approach is designed to optimize growth performance, enhance nutrient utilization, and strengthen health outcomes in Malabar snapper aquaculture.

Collagen is the body's most abundant protein, making up 25-35% of all proteins. It's a vital component of connective tissues in skin, bones, tendons, ligaments, and cartilage. Primarily composed of amino acids—30% glycine, 20% proline, and 10% hydroxyproline—collagen's unique triple-helix structure delivers exceptional strength, elasticity, and flexibility. It supports skin, nail, and hair health, boosts bone density, reduces osteoporosis risk, and enhances gut health. Common sources of collagen include meat, bone broth, fish, gelatin, and dairy. However, traditional collagen products often rely on animal or marine sources, using harsh chemical extraction methods that risk contamination, pose health hazards, and contribute to environmental destruction through waste and animal cruelty. This plant-based collagen precursor powder offers a clean, functional, sustainable, eco-friendly alternative (no e number ingredients). The formulation is enriched with amino acids, vitamins, and antioxidants, vital for collagen synthesis and stability, supporting muscle structure, and reducing collagen breakdown. Rigorously tested for functionality and safety, it avoids harmful chemicals and animal exploitation, significantly reducing environmental impact. The technology owner seeks to work with the OEMs of FMCG/CPGs to incorporate the functional blend in varied foods.

Automation for advanced manufacturing has reached its limits due to human biological limitations as well as the need for repetitive, standardized workflows. Deep learning AI is necessary to automate dynamic, non-standard workflows so as to enable true autonomous manufacturing. The product owner has developed an AI controller capable of connecting to manufacturing equipment non-intrusively, through low-level hardware interfaces (e.g. VGA, HDMI, USB), without any modifications or software installation to the existing system. Inside the controller is a powerful manufacturing AI agent that emulates both human judgment and behaviour, capable of fully autonomizing all operations as well as forecast equipment health. With incremental learning capabilities, it can generate new insights for equipment as well as process optimization. Factories can also use this product for intelligent remote control and monitoring (RCM) through their command-and-control platform. Unlike other command centers, this platform need not be manned by subject domain experts. Instead, only an engineer is required to ensure all AI agents are online.  The technology solution has been piloted and successfully deployed within notable semiconductor manufacturers. The technology owner is seeking collaboration opportunities with other advanced manufacturing industries, such as aerospace or medical devices, looking to leverage on smarter autonomous manufacturing and OEM equipment manufacturers looking to explore leveraging on AI capabilities into their existing and future equipment for a more competitive edge.

AI has the potential to significantly enhance diagnostic efficiency, allowing healthcare providers to quickly analyze medical images (e.g., X-Ray, MRI, CT, PET) and generate preliminary diagnostics for further review. This is achieved through a comprehensive workflow that involves: 1. Leveraging the deep expertise of medical professionals to accurately annotate medical images, creating a robust training dataset for the AI model. 2. Training computer vision models based on these datasets to achieve target performance levels. 3. Continuously refining these models over time through the incorporation of new data. Traditionally, this process demands a team of engineers to set up and maintain multiple tools, making it resource-intensive and costly. The technology offered here is a no-code, end-to-end platform that revolutionizes this process by enabling healthcare professionals to directly contribute their expertise through an AI-assisted image labeling tool. This tool allows technical teams to collaboratively and efficiently label large datasets with pixel-level accuracy. Model training and fine-tuning can then be managed by a single individual, significantly reducing the time from concept to deployment - from months to weeks - while also cutting costs associated with hiring specialized machine learning engineers. The technology owner has worked with universities, hospitals, and MedTech start-ups to develop unique computer vision solutions in the healthcare space. The technology owner is seeking collaborations with healthcare organizations aiming to harness computer vision to enhance operational efficiency and quality of care. Alongside the platform, professional services are available to support development, customize necessary integrations, and ensure the success of client projects.

This technology is a neurointerventional procedure, focusing on transradial access for acute ischemic and hemorrhagic stroke treatment. Traditionally, neurointerventions utilize transfemoral access, but this solution leverages the radial artery for access, providing a safer and more comfortable alternative. By reducing complications and shortening recovery times, the transradial approach significantly enhances patient experience.  The transradial access system comprises three components: a radial access sheath, a selective catheter, and a guiding catheter. Each component is designed to work in harmony, ensuring the system’s compatibility and optimal performance. The radial sheath maintains high structural integrity while reducing radial artery spasm and occlusion. The selective catheter offers multiple proprietary tip shapes for improved access to neuro arteries. The guiding catheter combines distal flexibility and proximal stiffness to ensure smooth catheter pushability and trackability, providing surgeons with an efficient and seamless experience. The trans-radial access catheters for neurosurgery are developed for Asian population whom have narrow arteries.  The technology owner is interested in joint R&D projects to co-develop the technology.

In the wake of the COVID-19 pandemic, people have developed new expectations for indoor air quality. It is no longer just about ventilation and purification, but also about providing clean and safe air for a healthier environment. Traditional UVC technology (254 nm) has been widely used in HVAC systems and air purifiers to disinfect airborne pathogens. To ensure its effectiveness, sufficient contact time is required, hence it is often used in unoccupied spaces due to safety concerns.  This solution utilises human-safe 222 nm far-UVC technology which has been shown to be able to effectively inactivate airborne pathogens while maintaining safety since it does not penetrate the outer layer of human skin or eyes. This allows for continuous disinfection of air in occupied spaces. By integrating 222 nm far-UVC technology into HVAC system, including air purification, air monitoring and IoT management platforms, the company offers a complete solution for clean and safe air. With integrated capabilities in both R&D and manufacturing, the company can provide tailor-made solutions for different industry applications. They are seeking collaborations with real estate developers, chain restaurant operators and pathogenic air sampling technology experts to further develop and commercialise this solution.

The company is a global FMCG manufacturer with a wide variety of products and brands in their portfolio. There is a shift in how consumers are engaging with brands with a growing focus on the overall experience rather than just the products. In one aspect, consumers are looking for multi-sensory experiences, and in another aspect, consumers are changing the way they choose to socialise, increasingly relying on online and immersive technologies for those experiential moments with friends and family located apart. As a result, the company is looking to develop innovative technological solutions that will enhance consumers’ experience of consumption and provide consumers with deeper, more memorable brand connections. This will help enhance interaction and engagement with their target audience while offering their consumers emotional and psychological benefits thus encouraging purchase.

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.