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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. The ecosystem comprises five integrated technology layers including: An immersive environment engine renders photorealistic clinical settings across multiple care contexts—including hospital wards, emergency departments, critical care units, and outpatient clinics—running on standalone VR headsets equipped with high-resolution displays (up to 4.5× standard resolution), full-colour passthrough, and advanced motion tracking. No external computing infrastructure beyond a standard laptop and stable Wi-Fi connection is required. AI-enabled patient engine drives dynamic, context-aware interactions through natural language processing, real-time physiological modelling, and adaptive behavioural responses that evolve based on learner decisions, treatment choices, and communication approaches. Haptic integration layer provides tactile feedback for procedural training, including CPR compression depth sensing, pulse detection, and procedural tactile responses for muscle memory development. Automated assessment engine applies standardised rubrics to objectively score learner performance, record decision pathways, and generate real-time feedback, eliminating instructor-dependent variability. Analytics and review platform captures complete session recordings for playback, reflective learning, and longitudinal performance tracking through an integrated electronic medical record system. The primary application is clinical education for healthcare professionals—nursing, medicine, allied health, and paramedicine—spanning basic foundational skills to advanced critical care. The platform’s scenario library covers patient assessment (dehydration, respiratory distress, angina), emergency care (stroke recognition, hypertensive crisis, diabetic emergencies), critical care (ventilated patient management, advanced clinical decision-making), medication administration (IV pump programming, dosage calculations), and communication skills (psychological first aid, end-of-life conversations, delivering bad news). Beyond its core educational deployment, the underlying technology platform is extensible to several adjacent industries. In defence and military medicine, immersive field trauma simulation provides realistic casualty care training without live exercise risks. In corporate healthcare compliance, the platform delivers standardised mandatory training for pharmaceutical companies, insurers, and hospital networks. The AI patient engine and communication training modules are directly applicable to mental health and behavioural therapy training, patient rehabilitation, and telemedicine skills development. Industrial safety sectors—including oil and gas, mining, aviation, and maritime—can leverage the simulation framework for emergency medical response training in hazardous environments. The technology can also be deployed for public health crisis preparedness, mass casualty triage training, and community first responder certification programmes globally. Key demand drivers include the World Health Organization (WHO) -projected global shortfall of 10 million health workers by 2030, increasing regulatory emphasis on competency-based training and standardised clinical assessment, patient safety imperatives (medical simulation can reduce clinical errors by up to 50% per the Agency for Healthcare Research and Quality- AHRQ). Current state-of-the-art healthcare training relies on three separate, disconnected modalities: physical simulation laboratories with high-fidelity mannequins for procedural practice, standardised patients (trained actors) for communication skills, and instructor-led observation with manual rubric scoring for assessment. Each modality operates independently, is resource-intensive, produces inconsistent outcomes dependent on instructor variability, and scales poorly. High-fidelity mannequins alone cost USD 50,000–100,000 per unit and require dedicated facilities, consumable materials, and ongoing maintenance. This technology converges all three modalities into a single, integrated platform. The AI-enabled patient engine replaces both physical mannequins and standardised patients by delivering dynamic physiological responses and natural language communication within the same immersive encounter. The automated assessment engine replaces manual instructor scoring with objective, rubric-based evaluation that is fully standardised and immediately available. Session recording with playback replaces post-hoc debriefing with evidence-based reflective learning. The result is a system that demonstrably improves learning outcomes (up to 275% improvement in performance metrics, 9X reduction in errors) while reducing operational costs, eliminating instructor dependency for assessment, and enabling unlimited practice repetition—all deployable with minimal infrastructure: a VR headset, laptop, and Wi-Fi connection. No competing platform offers this level of integration between immersive AI-driven clinical encounters and automated competency assessment in a single, infrastructure-light ecosystem.  Different clinical and situational scenarios can be customised according to training needs and addressing specific gaps in the real world environment. Medical Education, Clinical Training, Haptic Feedback, Healthcare Stimulation, Extended Virtual Reality-XRVR, Competency-Based Education Healthcare, Medical Devices, Infocomm, Healthcare ICT

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.  The system comprises of the key core technology components including:  1. Sensing Mechanism: Special optical fibers with core diameter approximately 1/10th of human hair thickness that detects minute deformations from respiratory motion, heartbeat, body movements, and positional changes. Light propagation changes captured through photodetector arrays transmit to the signal processing unit with two-stage amplification circuitry which digitizes signals and uploads to the cloud platform for analysis. 2. Backend Platform Architecture: The cloud infrastructure processes raw sensor data through graphic recognition technology and machine learning models trained on validated clinical datasets. Automated algorithms extract respiratory rate (±1 breath/minute accuracy), heart rate (±2 beats/minute accuracy), sleep states, bed occupancy status, and movement patterns. The platform generates automated reports in multiple formats (PDF, Excel), maintains personalized health profiles, provides medication reminders, and triggers emergency alerts based on configurable thresholds. Smartphone applications deliver real-time monitoring dashboards and historical trend analysis. Technical Specifications: Sensor dimensions: 61-81cm length, 1.5-1.8cm thickness, 1-2kg weight. Optical wavelength: typically 645nm. Bandwidth: >10Hz. Force sensitivity: 2.2-4.5%/N resolution. Compatible with mattress thickness: 5-40cm. Data transmission: Wi-Fi/cellular connectivity. Platform features: cloud data storage, multi-user access controls, API integration for electronic health records, configurable alert systems. Primary Industry Deployment: Healthcare and medical device sectors, specifically sleep medicine, respiratory care, geriatrics, cardiology, preventive medicine, long-term care facilities, and rehabilitation services. The contact-free nature suits pediatric, dementia, and non-compliant patient populations where sensor cooperation poses challenges. Applications: Nursing Home Monitoring Systems: Comprehensive vital signs surveillance detecting respiratory distress, cardiac irregularities, fall events, and bed exit attempts without requiring staff intervention or patient cooperation. Automated alerts enable rapid response to emergencies, reducing adverse event rates and liability exposure. Elderly Care Safety Solutions: Continuous monitoring in assisted living facilities and private homes, tracking sleep quality deterioration, nocturnal wandering patterns, and physiological decline indicators for early intervention. Disability Care Facilities: Non-intrusive monitoring for residents unable to use wearable devices or communicate distress, providing caregivers real-time vital signs data and activity status. Hospital Patient Monitoring: Supplemental surveillance in general wards, post-surgical recovery units, and rehabilitation departments, reducing nurse workload while maintaining continuous patient observation. Particularly valuable for fall-risk patients and those requiring respiratory monitoring. Home Sleep Apnea Testing Devices: Consumer-grade diagnostic systems enabling clinically-validated sleep studies at home, generating comprehensive reports via smartphone applications.  Chronic Disease Management Platforms: Long-term monitoring for patients with hypertension, diabetes, cardiovascular disease, COPD, and conditions where respiratory or cardiac status requires surveillance. Remote Patient Monitoring Services: Telehealth-integrated systems enabling physicians to track treatment compliance, disease progression, and intervention effectiveness based on real-time home data. Globally, 936 million adults have obstructive sleep apnea with 80-90% undiagnosed (Lancet Respiratory Medicine, 2019). The aging population reaches 1.4 billion aged 60+ by 2030 (WHO, 2025), with 80% residing in low- and middle-income countries requiring cost-effective monitoring. Healthcare facilities worldwide face chronic staffing shortages, making automated multi-parameter surveillance essential. Remote patient monitoring reduces hospital admissions by 25% with $2,000/patient/year savings (U.S. Department of Veterans Affairs, 2023). Rising chronic disease prevalence (diabetes, cardiovascular disease, COPD) drives continuous monitoring demand across all regions. Current State-of-the-Art Limitations: Polysomnography (PSG) requires 7+ hours hospital monitoring with 20+ wearable sensors, costing $1,000-3,000 per study while disrupting sleep quality. Results require manual analysis by sleep technicians, creating delays and interpretation variability. Continuous vital signs monitoring in hospitals and nursing homes relies on wearable devices requiring patient cooperation, regular charging, and skin contact which can be problematic for elderly, disabled, or cognitively impaired populations. Electromagnetic scanning faces environmental interference; pressure sensors require complex amplification with poor accuracy. UVP:  Intelligent Automation: Deep learning algorithms automatically identify clinically significant events, generate diagnostic reports, enables predictive deterioration warnings and trigger alerts—eliminating manual data review and enabling immediate clinical decision-making. Multi-parameter surveillance from single sensor infrastructure: Simultaneously monitors respiratory rate, heart rate, sleep quality, bed occupancy, and fall/exit events with cloud-based analytics consolidating data from multiple sensors across facilities. Healthcare Efficiency: Reduces staff workload and zero patient contact eliminating compliance barriers across all vulnerable populations.  Scalability: Cloud architecture enables facility-wide deployment with centralized monitoring dashboards, multi-site management, and seamless electronic health record integration. Safety Profile: Zero electromagnetic radiation, electrical isolation, heat resistance, waterproof operation—essential for 24/7 deployment with intelligent software safeguards preventing data loss. Fiber Optic Sensors, Micro-bending, Sleep Apnea, Vital Signs Monitoring, Ballistocardiography, Under-mattress sensors, Contactless health monitoring, Apnea-Hypopnea Index (AHI), Disability Care Systems, Elderly Care Monitoring Healthcare, Telehealth, Medical Software & Imaging, Infocomm, Healthcare ICT

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. The technology consists of: ALCOA+ handwriting recognition engine (for paper-based records) Document format detection and template intelligence Calculation detection and cross-page verification module Data limits detection and verification Missing entry detection Transcription verification across sections and documents Time and date validation with duration calculations Signature and initials verification Damaged, missing page, and documentation stream detection Structured QA/QP audit-ready reporting engine Optional advanced data extraction, trending, and correlation module API integration layer for DMS, EBR, ERP, EQMS, and LIMS systems Secure cloud or hybrid deployment architecture with encryption and role-based access controls The platform processes scanned documents (recommended 600dpi) or electronic batch records, applies configurable logic aligned to company SOPs, and generates deterministic compliance reports. It supports hybrid environments transitioning from paper to full electronic systems. This technology can be deployed across GMP-regulated industries including: Pharmaceutical manufacturing Biologics and vaccine production Cell and gene therapy manufacturing Contract manufacturing organisations (CMOs) Nutraceutical and regulated healthcare manufacturing Pharmaceutical distribution  Products and solutions enabled by this technology include: Automated batch record review systems GMP documentation compliance platforms QA/QP review acceleration tools Data integrity monitoring systems Manufacturing analytics and trending dashboards Hybrid paper-to-digital transition support tools It can be embedded within existing quality systems to enhance structured review, deviation reduction, audit readiness, and operational excellence initiatives. The technology can also be adopted by other industries that requires reviewing documentation against any set parameters as a quality check e.g. cosmetics, FMCG, aerospace, or use cases outside of manufacturing e.g. distributors in supply chains for reviewal of Certification of Analysis (COAs).  Global pharmaceutical and biologics manufacturing continues to grow, driven by advanced therapies, stricter regulatory enforcement, and increasing data integrity requirements. Regulatory bodies are placing greater emphasis on ALCOA+ principles, data traceability, and inspection readiness. Simultaneously, manufacturers face pressure to reduce operational expenditure while increasing throughput. Manual documentation review remains a bottleneck even in facilities using electronic batch record systems, as many platforms capture data but do not deterministically validate compliance. The market opportunity lies in augmenting existing systems with automated verification and analytics. Independent industry research indicates that digitised, compliant workflows can reduce operational expenditure by up to 30% and increase yield by approximately 10%.  This technology significantly improves upon the current state-of-the-art by introducing automated, deterministic quality checks into documentation workflows that are traditionally manual or semi-manual. It is comparatively easier to implement than a full-fledged Electronic Batch Record System (EBMR), as the document control and data analytics components can be integrated with existing entry processes. Key value propositions include: Reduction in batch review time from days/weeks to minutes, with past use case of up to 99% productivity gains (4000h to 3h of documentation review) Hybrid paper–electronic compatibility, enabling digital control while preserving professional judgement and human oversight; this reduces human error and deviation rates without displacing QA/QP accountability. Audit-ready, fully traceable outputs aligned with Annex 11, 21 CFR Part 11, and GAMP 5, strengthening data integrity and ALCOA+ compliance. Structured and traceable QA/QP review outputs with cross-batch data correlation and optional advanced trending capabilities to support process optimisation. Lower compliance risk during regulatory inspections through built-in controls, traceability, and validated system logic. Manufacturing, Assembly, Automation & Robotics, Infocomm, Data Processing

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. The comprehensive solution comprises various hardware IoT devices and an AI-based software platform to enable users to monitor and quantify energy consumptions to reduce EUI. The key features of the solution’s hardware IoT devices include: Various form factors, such as smart plug-load and smart miniature circuit breaker (MCB) sensors, for non-invasive last-mile/ upstream energy consumption monitoring Simple plug-and-play installation and setup Integration of proprietary enterprise-grade security protocol and wireless chip design for secure communications Wireless communications for respective smart IoT sensors to cloud platform Safety certifications and SAFETY mark certified for local deployment Real-time power monitoring parameters and remote actuation capabilities at load based on AI-based software platform Coupled with the deployed hardware, the key features of the solution’s SaaS AI-based software platform include: Smooth integration of proprietary smart IoT devices and/ or 3rd party IoT sensors for visibility at one location. Cloud-based platform for ease of viewing and measurable insights anywhere Proprietary AI models for orchestration, smart monitoring and suggested actuations of respective IoT devices Self-learning capabilities to cater to occupancy centric infrastructure Data logging functionalities with report generation The owner is seeking collaboration partners, such as manufacturers and end-users, looking to gain visibility of their energy consumption and actively reduce EUI within infrastructures, such as: Residential: Hotels, hostels and apartments with changing occupancy and power profile throughout the year  Commercial/ Mixed Use: School campus, F&B outlets with different power profile but have routine occupancy profile Industrial: Banks, data centres, offices with varying energy-intensive appliances with some equipment requiring prioritisation This comprehensive solution comprising both IoT hardware sensors and AI-native software platform enables reduction in both energy consumption and energy use intensity (EUI) for building infrastructure in a non-invasive, end-to-end approach. The plug-and-play IoT sensors provide last-mile monitoring and actuations securely via their proprietary enterprise-grade security protocol. The cloud-based software platform provides visibility of quantifiable reductions at a glance remotely while providing capabilities to orchestrate and integrate existing 3rd party sensors into the platform. The proprietary AI models are empowered by self-learning capabilities to translate measured power and occupancy profile patterns to actionable insights, via remote actuations, thereby resulting in tangible cost reductions and improved operational efficiency. Smart Facilities Management (FM), Smart Utilities Management, AI Native BMS, Self-Learning, Smart Plug-Load, Smart MCB, IOT Sensor, Occupancy Centric Electronics, Sensors & Instrumentation, Infocomm, Artificial Intelligence, Green Building, Sensor, Network, Building Control & Optimisation, Internet of Things, Smart Cities

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. This technology enables in-process formation and dispersion of silver nanoparticles within thermoplastic resin, such as polypropylene (PP), polyethylene (PE) and polystyrene (PS), ensuring consistent antimicrobial efficacy without compromising processability and final product quality in terms of transparency and mechanical performance. Key technical features include: Nanoparticle size: several tens of nanometres, enabling preservation of material properties Low active silver loading: effective at ~0.01 wt% without performance loss Antibacterial performance: verified in accordance with ISO 20743 and 22196, effective against a broad spectrum of bacteria, including both Gram-positive and Gram-negative species (e.g., Staphylococcus aureus and Escherichia coli) Process compatibility: compatible with standard extrusion and injection moulding processes Optical clarity: high transparency retained even in thin films and fibres, without haze or whitening Safety validation: confirmed through acute oral toxicity, skin irritation, mutagenicity, and skin sensitisation tests Adaptability: available as an antimicrobial masterbatch with industrial supply capability; solvent-based dispersions under development for coating applications This technology enables antimicrobial functionality across a wide range of polymer-based products and multiple industries, including but not limited to:   Hygiene & Personal Care: antibacterial seals, labels, hygiene items Home Care & Household Goods: garbage bags, antibacterial packaging, kitchen products Textiles & Apparel: masks, underwear, towels, sheets, medical linens, gowns Healthcare & Medical: medical gowns, bed linens, instrument covers, antimicrobial components Commercial & Institutional Coatings: high-touch surfaces such as handrails and doorknobs Consumer Electronics & Accessories: phone cases, remotes, keyboards Building Materials & Interiors: panels, wall and floor coverings, furniture surfaces Industrial Applications: antibacterial packaging, workwear, industrial components The technology is particularly suitable for moulded parts, thin films and coated surfaces where both antimicrobial performance and visual quality are critical. Achieve high antimicrobial efficacy with very low silver content, reducing material usage and cost while maintaining consistent performance In-process formation of silver nanoparticle ensures uniform dispersion, preserving transparency and mechanical integrity Integrate seamlessly into polymer processing workflows, eliminating nanoparticle handling and reducing operational complexity, safety risks, and regulatory burden Masterbatch format enables easy, reproducible and industrial-scale deployment without major equipment modifications In-situ formatio, Silver nanoparticles, Uniform dispersion, High transparency, Antimicrobial performance Materials, Plastics & Elastomers, Chemicals, Polymers, Environment, Clean Air & Water, Sanitisation, Manufacturing, Chemical Processes, Additives

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. This technology is a polymeric passive radiative cooling film material designed for outdoor thermal management. Key technical features include: Enhanced solar reflectivity through integration of silver within the reflective layer to maximise near-infrared solar reflection High solar heat reflectance, with measured solar heat reflection in the range of approximately 88–95% Designed for long-term outdoor use, with durability under continuous exposure to direct sunlight for up to 7 years through an internal evaluation method on accelerated weathering test. Substrate compatibility with common materials such as steel and resin-based surfaces Flexible supply formats, available in sheet or roll form with an adhesive layer for ease of installation, with options for basic surface customisation e.g., markings or text on the top layer Performance validation:The film has been evaluated through pilot deployments in Japan. When applied to the external façade of a residential building, the film demonstrated surface temperature reductions of up to 25°C under summer conditions, alongside energy savings of up to 40%. In a separate pilot involving application on a refrigerated truck, the film achieved approximately 20% reduction in fuel consumption over a two-month summer period compared to the previous year. The radiative cooling film can be applied across a wide range of heat-exposed surfaces and assets where passive temperature reduction can improve energy efficiency, operational reliability, and user comfort. Potential applications of the film include (but not limited to): Built environment e.g., roofs, façades, and external walls of buildings Logistics, transportation and storage e.g., shipping containers, reefer trucks, storage facilities for temperature-sensitive goods Public infrastructure and urban assets e.g., outdoor public facilities and urban installations Energy-free heat mitigation – provides passive cooling without electricity or active systems, helping to reduce energy consumption, operating costs, and carbon emissions in heat-exposed environments. Simple retrofit for existing assets – film-based form factor enables easy integration onto existing buildings, equipment, and infrastructure without major redesign or disruption. Designed for outdoor and tropical conditions – Engineered for continuous exposure to direct sunlight, supporting improved thermal stability and asset protection in hot and humid climates such as Singapore. passive, cooling, radiative, film, silver, heat reflective, heat resilience, surface reduction, thermal emission, thermal management, solar reflectivity, sustainability, sustainable living, urban heat island effect, global warming Materials, Composites, Green Building, Façade & Envelope, Logistics, Transportation, Sustainability, Sustainable Living

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. Assistance System – Data capture is completed in a single scan with the assistance system, which enables even beginners to obtain high-precision point clouds. This eliminates the need for repeated measurements and significantly improves workflow efficiency. Automatic BIM Transformation – Point clouds are automatically converted into BIM models on the spot, allowing immediate sharing of results. This not only reduces processing time but also accelerates decision-making by enabling discussion on building management at an early stage. Realistic 3D Representation – High-accuracy point clouds combined with realistic 3D visualization enable remote space inspection. This simplifies spatial review, accelerates consensus-building, and reduces travel costs. The technology owner is seeking collaboration with Digital Twin developers, BIM/CAD 3D platformers, IoT solution providers, system integrators, and IT consultants who can co-develop the technology to enhance functionality and differentiation, as well as develop and implement systems that support commercialization and market deployment. Spatial information with high speed and high accuracy during renovation can reduce costs, enable high-quality proposals, and be applied across various use cases: Digital Twin Building management: Manage energy and facilities through a unified digital model. Construction inspection: Inspect by comparing the digital twin with actual construction progress. Design & Planning Office renovation: Design comfortable and productive office environments. Store design: Create retail layouts optimized to attract customers. Digital Twin Reduces digitization time and accelerates the realization of digital building management Streamlined spatial digitization leads to lower labor costs and facilitates scalable deployment across multiple locations Provides real-time visibility into physical spaces for better operational control. Design & Planning Immediate spatial digitalization allows execution without interrupting on-site operations Accelerates decision-making through clear, shared spatial understanding. Enhances collaboration among stakeholders with a common digital reference. Simultaneous Localization and Mapping (SLAM), 3D Reconstruction, Modelling, Digitalizing Buildings, CAD, BIM Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

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. Print performance specifications: Smallest feature that can be printed - 50um Highly dense structure <= 0.5% porosity Surface finish of Ra <4 μm Complex structures with overhangs Powder free, enables fully-enclosed spaces and channels without need to powder removal Printer specifications:  Build Area – 125 mm x 125 mm Desktop printer to plug-and-play Compact footprint of 1m x 1m x 1m  Energy deposition module that is based on commercially available laser source In-house proprietary slicer software and printer controller software  In-house developed precursor material handling module Heat exchangers – micro cooling channels   Semiconductor equipment Dental/bone implants; prosthetics; surgical tools Aerospace parts Automobile parts Mobile Device parts (e.g. Smartphone, laptop, smartwatch shells and casings) Unlike powder bed system, there is no need for expensive environment controlled chambers Safer and cheaper precursors (sheets and foils vs powder and filaments) Printed parts are higher strength (Example – Stainless Steel SS304L, up to 1 GPa yield strength) Printed parts are fully dense (<= 0.5% porosity) Lead time is significantly reduced for fully solid designs Can fabricate enclosed channels Surface roughness is 3 times smoother than powder bed techniques Minimal post-processing (e.g. sand-blasting) is necessary Compatible with different material classes (composites, metals, polymers, ceramics)   3D printing, Additive manufacturing, Subtractive manufacturing, Laser, Laser system, Powder bed, Low volume manufacturing Manufacturing, Additive Manufacturing, Subtractive Machining

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. End-to-End Contract Lifecycle Management Enables organisations to manage each phase of the contract lifecycle — template creation, clause libraries, drafting, negotiation, approvals, signing, performance tracking, renewals and expirations — within a unified environment. Workflow Automation & Approval Routing Customisable no-code workflow builder that automates contract review and approval processes, reducing bottlenecks and ensuring compliance with internal policies. Secure Centralised Repository A searchable, cloud-based document vault with access control, version history, and audit trails to maintain transparency and facilitate secure collaboration. Collaboration & Negotiation Tools In-platform communication, real-time versioning, automated redlining, and task assignment streamline cross-team and external stakeholder interactions. eSignature & Compliance Built-in electronic signatures and compliance-oriented workflows eliminate the need for third-party tools and help meet regulatory standards across multiple jurisdictions.   Legal & Compliance Accelerate legal review and negotiation Maintain audit-ready records of contract changes and approvals Reduce compliance risk through automated checks Procurement & Vendor Management Streamlined procurement contracts and vendor agreements Real-time visibility into vendor obligations and performance Sales & Revenue Teams Faster contract drafting and approval processes Built-in eSignature to accelerate deal closures HR & Admin Functions Standardise employment contracts, NDAs and internal policies Centralised storage with access control and versioning Enterprise Governance & Risk Analytics and obligation tracking to mitigate organisational risk Cross-departmental insights into contractual bottlenecks This technology consolidates disparate contract and document processes into a single, secure, AI-enhanced platform tailored for enterprise needs. By automating repetitive tasks (e.g., drafting, approvals, tracking) and centralising documentation and workflows, the platform delivers clear productivity gains, enhanced compliance posture, reduced cycle times, and deeper visibility into contractual performance — unlocking significant operational and financial value. Infocomm, Artificial Intelligence