Antimicrobial plastic products are in increasing demand across healthcare, consumer products, and industrial sectors to reduce the spread of harmful microbes while maintaining material performance. However, conventional antimicrobial additives often rely on pre-formed nanoparticles, which are prone to aggregation and can complicate handling and processing, particularly in thin films, fibres, and transparent components. This technology enables the in-process formation and uniform dispersion of silver (Ag) nanoparticles within thermoplastic resins during standard polymer processing, such as extrusion and injection moulding. By incorporating silver fatty acid salts into the resin formulation, nanosized silver particles are generated during thermal processing and stabilised within the polymer matrix, ensuring consistent dispersion under typical shear and thermal conditions. The resulting silver nanoparticles, with sizes on the order of several tens of nanometres, deliver reliable antimicrobial performance at very low additive loadings (as low as 0.01 wt%), while preserving optical clarity and mechanical properties. Accordingly, this technology is particularly well suited for incorporating antimicrobial agents into thin films and fibres, where optical clarity and defect-free moulding are critical. When used in fibres, it helps prevent filament breakage during melt spinning. A resin-compounded antimicrobial masterbatch based on this technology has already been commercialised in products such as face masks and waste bags, demonstrating scalability and real-world applicability. The technology owner is seeking test bedding and pilot deployment partners in resin processing, polymer manufacturing, and end-product sectors to validate performance, scale production, ensure regulatory compliance, and expand application portfolios. In parallel, dispersion methods for solvent-based systems are under development, and partners in surface coatings and film manufacturing are welcomed for co-development and scale-up opportunities.

With global warming intensifying, cooling demands for buildings, equipment, vehicles, and outdoor infrastructure are rising rapidly. Conventional cooling solutions—such as air conditioning, mechanical ventilation, and electrically powered thermal management—are energy-intensive and contribute significantly to operational costs and greenhouse gas emissions.  As countries seek to reduce energy consumption while maintaining thermal comfort and system reliability, passive radiative cooling solutions are gaining traction to lower operational energy use while improving thermal stability in heat-exposed environments. This technology is a film-based radiative cooling material with a reflective layer engineered for passive outdoor thermal management.  Designed with high solar reflectivity and efficient thermal emission, the film incorporates silver within the reflective layer to maximise reflection of near-infrared solar radiation, thereby reducing heat absorption. At the same time, it enables effective radiation of infrared heat through the atmospheric window to the environment, allowing the applied surfaces to remain cooler than the surrounding air even under direct sunlight. The combined effect is a reduction of temperature rise on applied surfaces, lowering heat stress for buildings, machinery, and cargo spaces. The film is applicable across different sectors, including the built environment, industrial facilities, logistics and transportation, and public infrastructure. The technology owner is seeking co-development and pilot collaboration partners to conduct test-bedding and performance optimisation in tropical operating environments such as Singapore, supporting energy efficiency, heat resilience, and decarbonisation objectives across diverse sectors.  Partners with film manufacturing capabilities are also welcomed for joint development and scale-up opportunities.

Social issues such as labor shortages are becoming more apparent, making it urgent to utilize digital technology to transform workflows and work styles. In particular, there has been increasing demand for spatial digitalization to manage buildings and streamline renovation processes across various fields. When digitalizing buildings, offices, factories, and other spaces, it is necessary to measure dimensions and create floor plans, which often involves manual work. However, measuring all dimensions and generating floor plans or 3D models manually takes a significant amount of time. Moreover, overlooked measurements often require additional site visits, further delaying the process. Recently, spatial digitalization using sensors such as cameras has been introduced to address these challenges. By sensing spaces and generating point clouds, which are then converted into 3D models, efficiency can be improved. However, existing methods still present issues. Creating point clouds with desktop devices is costly and time-consuming. When using general mobile devices, the accuracy is low and results depend heavily on the operator. Furthermore, transforming point clouds into 3D models often requires extensive manual work and considerable time. This method addresses these challenges. Using low-cost mobile devices, anyone can quickly and accurately acquire point clouds, which can then be automatically transformed into 3D models within just a few hours.

In manufacturing there are many instances where there is a need for low production runs of parts. These could be for parts of an equipment, tools, small volume runs for trials or customised parts. However, traditional manufacturing techniques are usually not cost-effective for such low volume runs, while current additive manufacturing suffers from low strength, long print times and poor surface finish needing post-processing. Additionally, for techniques using powder and filaments, considerations have to be given to the storage and operational set-up due to oxidation, degradation, flammability and toxicity of these precursor materials. The tech owner has developed a hybrid manufacturing technique that involves both additive and subtractive manufacturing methods. Instead of powder or filaments, sheets and foils are used as precursor materials, thereby alleviating cost, safety and performance concerns that were outlined. A laser is used to cut and fuse the different layers of the build.   Numerous tests conducted by the team have consistently yielded parts that are dense and displayed high strength. The system is able to work with different materials, including highly reflective ones such as stainless steel, aluminium, copper. Based on initial estimates, this technique offers up to 30% - 50% cost advantage over powder bed systems. The tech owner is seeking partners to collaborate in test bedding the system for manufacturing of complex, customised and/or high strength / high thermal conductivity parts for applications in the healthcare, semiconductor, aerospace, automotive, telecoms or marine & offshore sectors.

Managing contracts and legal documents efficiently remains a core challenge for enterprises across functions including legal, procurement, sales, HR, finance, and compliance. Manual processes, fragmented tools, and siloed teams often lead to delays, compliance gaps, and unnecessary operational costs. This technology is a comprehensive AI-powered contract lifecycle management (CLM) and document management platform that automates and centralises all stages of contract handling — from creation, collaboration and negotiation to approvals, execution, storage, tracking, analytics, and renewals. By combining workflow automation, secure repositories, analytics and collaboration features in a single user-centric platform, organisations can achieve higher productivity, stronger governance, and reduced legal and operational risk. With multi-jurisdictional support, multi-language interfaces, and a suite of secure cloud-based tools, this platform delivers enterprise-grade contract management that is scalable across teams and regions while ensuring compliance with regulatory requirements.

While generative AI presents significant opportunities for productivity gains and innovation, many organisations face challenges in adoption due to limited AI expertise, complex system integration requirements, and concerns around security and governance. This technology is an enterprise-grade, low-code/no-code generative AI application platform that enables organisations to rapidly design, deploy, and manage customised AI-powered applications without extensive software development or machine learning expertise. The platform supports multi-agent AI orchestration, integrates with a wide range of pretrained and proprietary models, and offers flexible deployment options including secure cloud, private cloud, and on-premise environments. By abstracting the complexity of AI development and providing built-in governance, monitoring, and workflow orchestration capabilities, the platform allows organisations to accelerate AI adoption while maintaining control, security, and compliance.

Concrete production is a major contributor to carbon emissions due to its high cement content and intensive resource use. In Singapore, the challenge is amplified by reliance on imported materials and increasing pressure to meet Green Mark and national decarbonisation targets, while maintaining cost and performance requirements. Biochar Concrete integrates biochar, a carbon-negative material derived from biomass into conventional concrete mixes. Biochar permanently sequesters carbon and enhances the concrete’s microstructure, while remaining compatible with existing batching and construction processes. By reducing embodied carbon and reliance on high-carbon cement, Biochar Concrete enables more resource-efficient and sustainable construction without compromising durability or performance. This scalable solution supports Singapore’s Green Building goals and advances the transition towards a low-carbon built environment. The technology is suitable for collaboration with concrete producers, precast manufacturers, construction and engineering firms, property developers, research institutions, biomass suppliers, and government for R&D collaboration, licensing, IP acquisition and test-bedding. 

Modern robots are highly capable in structured environments but struggle to handle unstructured tasks that require delicate touch, such as grasping irregular objects or performing fine manipulations. Traditional robotic grippers rely primarily on vision, which are insufficient for dynamic or contact-rich interactions. This technology introduces an AI-driven tactile intelligence platform coupled with tactile-sensing robotic fingers that can perceive and interpret contact pressure, texture, and shape in real time. By integrating advanced tactile sensors with a foundation model trained on tactile data, the platform enables robots to feel and adapt their actions with human-like precision. The technology owner is seeking adopters and collaborators such as robotics OEMs, automation system integrators, healthcare robotics developers, and deep-tech companies working on sensors, embedded systems, or AI analytics. Institutes of Higher Learning and research centres specializing in robotics or tactile perception are also key partners. These groups can leverage the platform to enhance robotic dexterity, precision, and safety across industrial, service, assistive, and manufacturing applications—particularly where delicate handling and high-fidelity tactile sensing are critical.

Stress, fatigue, and cognitive decline are growing concerns in Singapore. Younger adults often experience anxiety, insomnia, and difficulty focusing, while older adults face a higher risk of memory loss and cognitive decline. By 2030, one in four Singaporeans will be aged 65 or above, highlighting the need for accessible ways to support cognitive health. Many adults rely on supplements to maintain cognitive performance, but these are often perceived as medicinal and unnatural. With 60% of consumers in the Asia Pacific region viewing mental well-being as central to health, the market for brain health foods and beverages is expanding rapidly, projected to reach USD 40.34 billion by 2030 with a CAGR of 10.5%, highlighting a significant opportunity for enjoyable and familiar cognitive-supporting food products. This technology call therefore seeks proven cognitive ingredients and enabling technologies that improve ingredient stability, efficacy, and incorporation into foods and beverages.