Healthcare education globally faces a compounding crisis: growing demand for trained professionals, limited clinical placement capacity, inconsistent assessment standards, and patient safety risks during early-stage practice. Studies indicate that approximately 90% of clinical mistakes occur within a practitioner’s first 30 cases. This technology is an integrated Extended Reality (XR) simulation ecosystem delivered through lightweight, wireless head-mounted display devices. Wearing these headsets, learners are visually and spatially immersed in computer-generated three-dimensional clinical environments—hospital wards, emergency rooms, paediatric units, outpatient clinics—that respond to their gaze, movement, and hand gestures in real-time. Within these environments, learners interact with artificial intelligence-driven virtual patients that converse naturally, exhibit realistic body language, and present evolving physiological conditions based on the learner’s clinical decisions. Handheld controllers and haptic devices provide tactile feedback, enabling learners to physically practise procedures such as chest compressions and pulse detection with sensory realism. The platform integrates automated assessment tools that objectively score performance against standardised clinical rubrics, replacing instructor-dependent evaluation. It delivers measurable outcomes: up to a 9-fold reduction in clinical errors, 75% improvement in learning retention, and 275% improvement in performance metrics. The technology owner is seeking collaborations with medical colleges, nursing schools, allied health institutions and defence medical training organisations worldwide.

Sleep-disordered breathing, particularly Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS), affects millions globally and increases mortality risk by 26.2%. Simultaneously, vulnerable populations in nursing homes, assisted living facilities, and hospitals require continuous vital signs monitoring to prevent adverse events. Current solutions demand either expensive hospital-based Polysomnography (PSG) with multiple wearable sensors that disturb sleep quality, or continuous monitoring systems requiring patient cooperation and regular charging. This technology solves multiple critical healthcare monitoring challenges through an integrated system combining innovative micro-bending loss enhanced optical fiber sensors with intelligent cloud-based data analytics. The hardware component employs specially designed optical fibers placed under standard mattresses where micro-vibrations from respiratory activity, cardiac function, and body movements cause intentional light attenuation. The backend platform processes these signals through deep learning algorithms and big data analytics, automatically identifying apnea/hypopnea events, extracting vital signs, detecting falls, and generating comprehensive health reports accessible via smartphone applications. The integrated platform addresses urgent clinical needs with clinical validation demonstrating 95% specificity and 93% sensitivity for OSAHS diagnosis compared to PSG, with strong correlation for vital signs measurements. The technology owner is seeking collaborations with Medical Device Manufacturers, Hospital systems seeking automated patient monitoring with electronic health record integration, Elderly Care Facility Operators, Disability Care Centers, AI/data analytics deep-tech companies,Telehealth platforms and Insurance companies seeking reduction in acute event costs through predictive analytics and early intervention. 

Manufacturing organisations operating under GMP regulations face significant delays and compliance risks due to manual or semi-manual documentation review processes. Batch records, whether paper-based or electronic, require extensive checking for calculation errors, missing entries, transcription mistakes, and regulatory non-compliance. These processes are time-consuming, error-prone, and resource-intensive. This technology provides a controlled and structured automated documentation review and data verification platform designed to quality check batch records against ALCOA+ principles and GMP requirements. It detects calculation discrepancies, missing data, data limit breaches, transcription errors, time/date inconsistencies, and compliance gaps within a second per page or less. The system works with both paper-based and electronic batch records and produces structured, audit-ready outputs to aid manufacturing teams giving them time back to make more product and it supports QA and QP oversight. Potential collaborators are pharmaceutical, biotech, cell and gene therapy, and other GMP-regulated manufacturers (cosmetics, FMCG, medtech / device etc) seeking to accelerate batch release, reduce deviations, and improve compliance reliability. The technology addresses a critical market need by reducing review time from days or weeks to minutes, strengthening regulatory compliance, and enabling advanced data trending for continuous process improvement.

Operational energy use in buildings is a major emissions driver, accounting for about 27.3% of energy-related global emissions in 2022. With the Singapore Green Plan 2030 and Mandatory Energy Improvement (MEI) regime to target 80% of new buildings to be Super Low Energy buildings from 2030 and enhance energy performance of existing buildings respectively, various assets (residential, commercial and mixed-use) are actively integrating and retrofitting solutions to support a low-carbon built environment. The technology owner has developed a comprehensive solution comprising both hardware IoT devices and an AI-native software platform aimed to reduce energy consumption and energy use intensity (EUI) for both new and existing building infrastructure. This end-to-end technology solution provides monitoring, down to the last-mile energy consumption portfolio, from respective plug-loads to rooms and floors, to enable quantifiable reductions. With the proprietary AI model, the solution aims to provide self-management capabilities for daily operations while having self-learning capabilities to cater to respective infrastructures. This results in an increased operational efficiency and measurable cost savings, in addition to aligning with ESG-related guidelines. The technology owner has successfully conducted deployments on existing building infrastructures, with one pilot exhibiting up to 30% energy savings during the period. The owner is seeking industrial collaboration partners, such as data centers, hospitals and manufacturers, looking to gain visibility of their energy consumption and actively reduce EUI within infrastructures.

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 streamline renovation processes across various fields, supported by the growing adoption of spatial sensing tools and intelligent modelling technology to improve site accuracy and speed. When renovating offices, houses, 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 — a challenge that highlights why professionals increasingly rely on spatial sensing capabilities integrated into modern devices and software. 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, even with existing modelling technology. 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.

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.