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This system introduces a high-performance composite industrial 3D printer with a modular print system, enabling users to seamlessly switch between different composite print engines. It uses a unique combination of Fused Filament Fabrication (FFF) and Continuous Fiber Reinforcement (CFR) technology to create high-strength parts with exceptional dimensional accuracy. Designed for industrial-scale production, its expansive print volume accommodates the creation of large, complex parts with ease. This is particularly beneficial for industries like aerospace and automotive, where intricate designs are often required. Additionally, the 3D printing approach significantly reduces production time compared to traditional manufacturing methods, allowing for faster turnaround and increased efficiency.  The technology owner is seeking for industry use cases for co-development.  This technology utilizes Fused Filament Fabrication (FFF) and Continuous Fiber Reinforcement (CFR) technologies to produce high-strength parts with excellent dimensional accuracy. Large-scale prints: 375mm x 300mm x 300mm, suitable for large-scale prints in industrial applications. Fine resolution: Z layer resolution ranges from 125µm to 250µm for composite prints. Wide range of compatible materials: Composite base material - Micro carbon fiber filled nylon with flexural strength of 71 Mpa. Comes with options containing flame retardant properties or static-dissipative properties. It is high strength, toughness, and chemical resistance when printed alone. Composite material - Ultra-high-strength continuous fiber of flexural strength 540 Mpa. When laid into a composite base material, it can yield parts as strong as 6061-T6 Aluminum. Automotive industry: Produce custom parts and components for vehicles, enabling faster development cycles and reducing the need for expensive tooling. Aerospace: Create lightweight, high-strength parts makes it suitable for aerospace applications, where weight reduction and structural integrity are critical. Medical devices: Produce custom medical devices and implants, tailored to the specific needs of patients. Consumer goods and other applications: Create durable and high-quality consumer products, from household items to sports equipment. Hight strength-to-weight ratio: Yield parts as strong as aluminium material. Shorter lead time: Produce customized composite parts on demand, which increases time to market, reduce fabrication and inventory costs compared to traditional composite manufacturing methods. Continuous Fiber 3D Printing, Composite 3D Printing, 3D printing, Additive manufacturing, composite, composite manufacturing Materials, Composites

This technology enhances additive manufacturing (AM) of corrosion-resistant Stainless Steel 254 (SS254), a super austenitic alloy engineered for exceptional durability in harsh and saline environments. Developed through collaborative research supported by national innovation funding, the project optimised key AM parameters to achieve consistent part quality and mechanical performance. Through extensive experimentation, a validated processing window was established to ensure dense microstructure, high mechanical strength, and excellent corrosion resistance. The printed SS254 parts demonstrate a yield strength of approximately 600 MPa and can operate effectively across temperatures from –50 °C to over 250 °C. This advancement enables the production of complex, high-performance components directly through additive manufacturing, eliminating the need for conventional casting or machining. By positioning SS254 as a cost-effective alternative to nickel and titanium alloys, this innovation promotes sustainable, digital manufacturing for corrosion-critical applications across marine, chemical processing, and energy sectors. Material: Super austenitic stainless steel 254 (SS254) Corrosion Resistance: Exceptional resistance to chloride-induced corrosion and stress-corrosion cracking, ideal for marine and offshore exposure Mechanical Strength: Yield strength ~600 MPa, comparable to nickel-based superalloys Temperature Tolerance: Reliable operation from –50°C to 250°C Proven Process Charactherisation: Over five parameter combinations tested to establish an optimised, repeatable processing window ensuring >99.5% density and dimensional stability Surface Finish & Post-Processing: Capable of achieving improved surface roughness after minimal finishing treatments Sustainability: Reduces material wastage, enables digital inventory management, and supports on-demand production of spare parts This parameter-optimised process enables the production of functional SS254 components that meet or exceed international standards (API, ISO) for high-strength, corrosion-resistant materials. The optimised 3D printing process for SS254 opens new opportunities for marine, oil & gas, and offshore engineering sectors that demand durable, corrosion-resistant parts. The technology also supports digital spare-part libraries, enabling remote, on-demand production for maintenance and repair operations (MRO). By reducing logistics dependency and lead time, it supports supply chain resilience in industries operating in remote or high-risk environments. Potential applications include: Subsea and offshore structures such as pump housings, valves, and connector flanges Ship components exposed to seawater, including propeller hubs, brackets, and supports Oilfield and drilling equipment requiring high mechanical integrity and corrosion resistance Heat exchangers and cooling systems in chemical or desalination plants Global demand for corrosion-resistant alloys is steadily increasing across marine, offshore, and energy sectors, driven by the pursuit of longer-lasting and more cost-efficient solutions. The rapidly growing metal additive manufacturing market further enhances these opportunities by enabling decentralised production, faster turnaround times, and reduced inventory costs. This technology offers strong commercial appeal to companies aiming to replace costly nickel or titanium alloys with SS254, achieving comparable mechanical and corrosion performance at a significantly lower material cost. In Singapore and the wider Asia-Pacific region, the innovation aligns with ongoing maritime decarbonisation and sustainability goals, supporting the transition toward localised, digital manufacturing ecosystems within shipyards and maintenance facilities. As industries continue to embrace sustainable and digital production models, this SS254 additive manufacturing process presents substantial market potential for both original equipment manufacturers (OEMs) and aftermarket service providers seeking durable, corrosion-resistant metal solutions. By integrating this technology, industries can digitise spare-part inventories, implement on-demand manufacturing, and strengthen supply chain resilience in corrosion-prone sectors. Cost-effective alternative to nickel and titanium: SS254 uniquely combines high corrosion resistance, mechanical strength, and print reliability. Support fabrication of intricate designs: Additive manufacturing process enables the fabrication of complex geometries without tooling, reducing material waste and lead time. The validated process window ensures consistent part quality and repeatability — critical for industrial adoption.   additive manufacturing, materials engineering, marine, offshore, energy, oilfield Manufacturing, Additive Manufacturing

Buildings and photovoltaic (PV) systems face two major challenges: excessive heat gain and frequent surface soiling. In tropical climates, solar heat through glass façades can account for up to 40% of total cooling demand, while dust accumulation on PV panels can lower efficiency by 5–30% within months. These issues increase energy use, maintenance frequency, and operational costs. This technology introduces a multifunctional multilayer coating that integrates self-cleaning, infrared (IR) heat rejection, and high optical transparency in a single, durable formulation. Unlike conventional coatings that require multiple layers for different functions, this innovation achieves comparable or superior performance in an integrated multilayer design—simplifying application and lowering cost. The photocatalytic self-cleaning surface decomposes organic contaminants and enables natural washing by rain, reducing cleaning needs. Simultaneously, the IR-reflective layer rejects near-infrared heat while maintaining over ~80% visible light transmittance, cutting cooling energy use by ~10–15% without compromising daylight. Compact, scalable, and retrofit-friendly, this coating offers a cost-effective solution for building operators and solar installers aiming to enhance energy efficiency, reduce maintenance, and improve sustainability performance. The technology owner is seeking industry partners in solar panel manufacturing, green building projects, and glass applications for licensing Advanced Sputtering Process: Enables uniform multilayer deposition with high scratch resistance, strong adhesion, and optimized refractive index for superior optical clarity. High Transparency with Heat Rejection: Maintains ~80% visible light transmittance while blocking infrared radiation (700–2500 nm) to reduce solar heat gain. Thermal Regulation: Proven to lower surface and indoor temperatures in both PV applications and buildings respectively.  Multifunctional Design: Integrates self-cleaning, heat reflection, and high transparency into a single coating layer, simplifying fabrication and application. Self-Cleaning Surface: Photocatalytic-hydrophilic layer breaks down contaminants and allows natural rinsing by rain, reducing cleaning frequency. Cost-Competitive Solution: Offers multi-functional performance at comparable cost to conventional single-function coatings, suitable for solar panels, façades, and glass applications. Commercial and Residential Glazing Systems Solar Panel Installations Green Building and Retrofitting Projects Automotive Glass Applications Smart Windows and Energy-Efficient Architecture Single Multifunctional Coating: Integrates self-cleaning, heat reflection, and high transparency in an integrated multilayer design, eliminating the need for multiple single-function coatings. Energy Efficiency: Reduces building cooling energy consumption while maintaining high natural light transmission for occupant comfort and daylighting. Low Maintenance: Decreases cleaning frequency and maintenance costs through its self-cleaning, photocatalytic surface. Urban Heat Mitigation: Contributes to reducing the urban heat island effect by reflecting rather than absorbing solar radiation.  Energy Efficiency, Multifunctional Coatings, Self-cleaning Technology, Solar Panel Efficiency Chemicals, Coatings & Paints, Energy, Solar

Maintaining stable blood glucose levels is central to achieving a healthier lifestyle and preventing metabolic disorders such as diabetes. Even for non-diabetic individuals, daily fluctuations in glucose can affect energy levels, focus, sleep quality, and long-term metabolic health. As awareness grows around personalized health tracking, consumers are increasingly seeking simple, non-invasive ways to understand how diet, exercise, and stress influence their glucose patterns. BGEM meets this need through a smartphone app that estimates blood glucose levels non-invasively using data from smartwatches, fitness trackers, and smart rings. By leveraging the photoplethysmography (PPG) sensors that users already wear, the app provides on-demand insights into glucose fluctuations without the need for finger pricks or patches. Powered by advanced algorithms in the cloud, the system translates wearable sensor data into personalized glucose trend information, allowing users to visualize how daily habits influence their metabolic responses. This empowers individuals to make informed lifestyle adjustments, supporting better nutrition choices, improved fitness outcomes, and early awareness of potential glucose irregularities. Unlike conventional continuous glucose monitors that rely on invasive sensors, this technology is completely non-invasive, affordable, and accessible, making proactive glucose monitoring possible for a broader health-conscious population. This solution is designed for consumers who want to take greater control of their wellness journey through meaningful, data-driven insights. The technology owner is seeking collaborations with hardware manufacturers for integration, wearable brands for product development, distributors and IHLs for expanding research.  The BGEM technology is an end-to-end managed AI platform that leverages Photoplethysmography (PPG) enabled wearable sensors to monitor various tissue biophotonic and hemodynamic features associated with blood glucose fluctuation. The solution comprises the following features: Optimised and validated AI algorithm Mobile Demo App Including UI/UX design guideline User-friendly visualisations SaaS Scalability Security API Integration The BGEM technology offers a cost-effective, non-invasive approach to estimating an individual's blood glucose levels. The applications include: Empowering Consumers with Personalised Insights: The technology leverages the high growth rate of smart wearables and hearables, presenting an opportunity to offer consumers a holistic view of one's wellbeing towards leading a healthier lifestyle. Relieving Diabetic Patients from Painful Monitoring: By enabling regular, cost-free estimation of blood glucose changes, the technology empowers individuals with Type II diabetes to monitor their glucose levels comfortably and painlessly — freeing them from the discomfort of frequent finger pricks. The Diabetes Burden (2024–2025) As of 2024, approximately 589 million adults (aged 20–79) worldwide are living with diabetes. Projections indicate this number could reach 853 million by 2050 if current trends continue (IDF). Over 80% of people with diabetes live in low- and middle-income countries (IDF). Diabetes-related healthcare costs reached USD 966 billion globally in 2021 — a 316% increase over 15 years. The Rise of Wearable Technology The wearable health devices market was valued at approximately USD 44.06 billion in 2024 and is projected to grow at around 11% CAGR, reaching USD 112 billion by 2033. The wearable diabetes devices segment is estimated at USD 12.1 billion in 2025, with forecasts of USD 19.5 billion by 2030 (CAGR >10%). The broader wearable technology market is valued at USD 84.2 billion in 2024, expected to reach USD 186.1 billion by 2030, growing at around 13.6% CAGR. Growing Use of CGMs Among Healthy Individuals Over 1 million healthy individuals now use CGMs to monitor glucose for lifestyle and performance insights. Adoption among athletes and health enthusiasts is rapidly increasing, with expanding interest from the general wellness market. Current blood glucose monitoring technologies typically rely on finger pricks for blood extraction or the insertion of sensors beneath the skin, causing discomfort and inconvenience from wearing adhesive patches for extended periods. Moreover, the high upfront and recurring consumable costs — including sensors, needles, and test strips — continue to limit widespread adoption. Blood Glucose Estimation and Monitoring (BGEM) technology offers a truly non-invasive alternative that can be seamlessly deployed on billions of existing wearable devices already owned by consumers. By eliminating the need for disposable equipment, needles, or test strips, BGEM makes glucose monitoring significantly more convenient, affordable, and accessible than traditional invasive solutions. UVP of BGEM: Market-Ready: A non-invasive, SaaS-based AI solution that leverages consumer-grade wearables to provide on-demand blood glucose estimation. High Performance: Demonstrates strong analytical precision and clinical accuracy. Cloud-Based: Built on a secure, scalable cloud platform for seamless data processing and integration. Third-Party Compatible: Easily integrates with a wide range of existing wearable devices and mobile applications. Sustainable: Reduces biomedical waste by eliminating the need for disposable needles, test strips, and sensor patches. User-Friendly: Completely non-invasive, convenient, and designed for frequent, comfortable monitoring. Non-invasive Glucose Estimation, Photoplethysmography (PPG), Smart Wearables, Software as a Medical Device (SaMD), Software as a Service (SaaS), Healthier Lifestyle Healthcare, Medical Devices, Telehealth, Medical Software & Imaging

AI-assisted Mechanical Computer-Aided Machining (AMCAM) is a hands-on educational platform designed to teach students the principles and real-world applications of AI agentic agency within CNC machining. Built upon an AI agentic agency blueprint, AMCAM provides a new learning environment that integrates CNC milling operations with a suite of intelligent, autonomous AI agents. The system features five specialised AI agents functioning as digital co-workers, modeling collaborative decision-making between humans and AI in modern manufacturing contexts. Through this setup, students not only gain practical CNC machining experience but also engage with a full AI decision loop. They can observe how AI agents communicate, reason, and act both independently and collectively. Beyond education, AMCAM also serves as a sandbox for SMEs and MNCs to co-develop pilot projects, in alignment with Singapore’s Smart Industry Readiness Index (SIRI). It supports the Industry Transformation Maps (ITMs), advancing national strategies to modernise the precision engineering and manufacturing sectors, while driving workforce transformation and enterprise growth. Key focus areas include deploying AI for predictive maintenance, quality control, supply chain optimisation, and energy efficiency. Other applications include digital twins, machine learning algorithms, and smart sensors to accelerate industry transformation. Introduction of AI Agentic Agency for Collaborative Learning: AMCAM uses Agentic AI, where digital agents act as collaborative partners, helping students understand AI-driven decision-making and preparing them for future human–AI collaboration in smart manufacturing environments. Augmenting Experiential Learning: AMCAM enhances traditional CNC milling training by introducing interactive systems that deepen engagement with the machining process, enabling students to gain both theoretical knowledge and practical, real-world experience. Addressing the Complexity of Machining Parameters: AMCAM helps learners master key maachining variables such as speed, feed rate, and tool condition by providing instant, intelligent feedback to guide effective parameter balancing and improve machining outcomes. Digitalisation of Legacy Machines : AMCAM upgrades legacy CNC machines with AI integration, enabling real-time diagnostics and performance monitoring to enhance learning and extend the usefulness of existing equipment. Real-Time Feedback: AMCAM uses a Simple Reflex Agent that adjusts machining parameters in real time based on vibration patterns, classifying performance into green, amber, and red alerts to enhance safety, minimize downtime, and ensure precise, responsive machining. Green Alert (Safe Cut): Steady-cutting conditions, no action. Amber Alert (Warning Cut): Medium instability, tool inspection performed. Red Alert (Danger Cut): Severe instability, emergency stop initiated.   Applicable in Education and Industry: AMCAM enhances education by visualizing complex machining concepts and supports industry by improving quality, productivity, and sustainability in large-scale manufacturing. AMCAM reduces machine downtime through predictive alerts, enhances product quality with AI-driven reliability, and optimizes material and energy use for more efficient and sustainable operations. AMCAM is suitable for a wide range of industries, including Precision Engineering, Manufacturing, Aerospace, and Marine & Offshore, where complex machining plays a critical role. It can also be applied as an educational tool for hands on learning in machining. Core functionalities include: Real-Time Monitoring: Continuous data collection through IIoT sensors. AI-Driven Anomaly Detection: Rapid identification and response to performance irregularities. Automated Remediation: Autonomous execution of corrective actions without human input. Collectively, these capabilities minimise machine downtime, reduce maintenance frequency, and lower dependency on highly specialised technicians. Innovative Learning Pedagogy: The educational model employs a deeper learning approach that merges explicit technical knowledge with dual heuristic inputs. Interdisciplinary and Future-Ready Learning: AMCAM promotes interdisciplinary education by combining machining fundamentals with AI and manufacturing. Learners engage with digital-twin environments, intelligent CNC programming, and predictive maintenance, aligning their skills with Industry 4.0 and 5.0 workforce needs. AI-Assisted Manufacturing: AMCAM empowers both learners and professionals with AI-assisted manufacturing capabilities, emphasizing system-level thinking, anomaly detection, and operations optimisation. This allows users to conduct predictive diagnostics and make data-informed decisions. Infocomm, Artificial Intelligence, Manufacturing, Subtractive Machining

Falls are a leading cause of injury and hospitalization among the elderly, often resulting in loss of independence and increased healthcare costs. Traditional walking aids provide basic support but lack the capability to proactively detect and prevent falls. This AI-Assisted Walking Cane is an innovative mobility aid developed to improve the safety and independence of elderly users and individuals with mobility challenges. By enabling real-time monitoring and intervention, it effectively bridges a critical gap in traditional walking aids and helps reduce the risk of falls. The primary target users are elderly individuals, patients undergoing physical rehabilitation, and people with neurological or musculoskeletal conditions that impact mobility. The technology owner seeks collaboration with partners across the healthcare, technology, and manufacturing sectors to support the product’s development, testing, and commercialization. Ideal partners include medical institutions and rehabilitation centres to provide clinical validation, user trials, and professional feedback; deep-tech companies with AI and data analytics expertise to develop and optimize algorithms for gait analysis and fall detection; assistive device manufacturers for prototyping, large-scale production, and quality assurance; institutes of higher learning for joint research in biomechanics, sensor technologies, and future applications; and eldercare service providers or community health organizations to facilitate pilot testing and deployment in real-world care settings. The AI-Assisted Walking Cane combines advanced hardware and software components, integrating sensors and artificial intelligence to monitor the user’s gait, detect abnormal walking patterns, and provide intelligent mobility support with proactive fall risk detection. Advanced Hardware Integration - The device features an embedded microcontroller, tilt sensor, accelerometer, gyroscope, and vibration motors that work together to continuously monitor the user’s gait, posture, and cane tilt during movement. Intelligent Fall Detection and Alerts - The device integrates an advanced algorithm that continuously analyses the user’s gait patterns and posture in real time. By detecting abnormal movements or signs of instability that may indicate a potential fall, the device provides immediate alerts through vibration or audio signals to prompt corrective action or notify caregivers. Connectivity and Data Insights - The device transmits collected data via Bluetooth or Wi-Fi to a companion mobile application, allowing users, caregivers, and healthcare professionals to track mobility trends and monitor progress.  User-Centric Design - The device is powered by a rechargeable, energy-efficient battery that supports extended use, and its lightweight, ergonomic design ensures comfort and ease of use for everyday mobility support. The AI-Assisted Walking Cane has broad potential across healthcare, rehabilitation, and assistive technology sectors, with applications in both clinical settings and home-based care to enhance mobility, safety, and independence for individuals with gait or balance challenges. Primary applications include real-time fall detection and prevention, gait monitoring to track rehabilitation progress, and early identification of mobility decline in elderly users or individuals with neurological or musculoskeletal conditions. The data collected also supports healthcare professionals in developing personalized therapy plans and targeted intervention strategies. This technology can serve as a foundation for a range of marketable products beyond the walking cane, including AI-enabled crutches, walkers, and wearable gait monitors. It also supports the development of companion mobile apps and cloud-based platforms for remote monitoring, caregiver alerts, and long-term mobility data analysis. This technology addresses the growing demand for intelligent assistive devices that enhance quality of life and reduce caregiver burden, offering a practical, scalable solution for improving mobility and safety in eldercare and rehabilitation settings. Unlike traditional walking canes that provide only basic physical support, the AI-Assisted Walking Cane incorporates sensors and AI algorithms to continuously analyse gait and detect instability in real time, offering proactive alerts and enhanced safety for users. Unlike existing smart canes that focus mainly on location tracking or emergency alerts, this technology emphasizes preventive care through real-time gait analysis and predictive fall detection, setting it apart from current state-of-the-art solutions. It also provides personalized alerts for users, promoting independence while ensuring safety. Furthermore, the system’s integration with mobile applications and healthcare platforms enables remote monitoring and data-driven decision-making—features not commonly found in basic mobility aids. Its affordability, ergonomic design, and low maintenance further enhance its market appeal. AI-assisted mobility aid, smart walking cane, fall detection, gait analysis, fall prevention, assistive device, rehabilitation, IoT, eldercare Electronics, Sensors & Instrumentation, Healthcare, Medical Devices

This technology leveraged multiple advanced components to deliver an immersive, data-driven BI (Business Intelligence) dashboard for smart building management. 3D visualization and integration formed the dashboard’s intuitive interface, utilizing a photorealistic 3D-scanned building. Technologies such as laser scanning and photogrammetry were used to create the digital twin. This 3D model was then integrated with real-time IoT data using Building Information Modeling (BIM) principles, enabling visualization of sensor data directly within the digital replica of the building. An IoT sensor network and data acquisition system played a crucial role, with various sensors deployed to monitor building performance, energy usage (including non-invasive water and power monitoring), and environmental conditions. These sensors transmitted data wirelessly,  using protocols such as MQTT and LoRaWAN to an IoT platform. For data processing and storage, an edge IoT platform served as the backbone for collecting, processing, and managing large volumes of real-time sensor data. Built-in rule engines enabled data enrichment and automated alerting. Finally, immersive dashboard development frameworks were pivotal in creating interactive user experience. Web-based 3D visualization libraries rendered the building model and integrated dynamic data overlays. While BI tools such as Tableau or Power BI may have supported traditional dashboard components, custom immersive development provided a more intuitive 3D environment for navigation and data exploration. The dashboard’s technical architecture adopted a multi-layered approach. The data acquisition layer leveraged diverse IoT sensors (e.g., environmental sensors and smart meters) communicating via protocols such as Modbus and LoRaWAN, connected through industrial IoT gateways. For non-invasive water and power measurements, ultrasonic or electromagnetic flow sensors and current transducers were integrated to minimize installation disruption. The data processing and storage layer utilized an edge-based IoT platform for secure data ingestion, real-time stream processing, and scalable storage. The visualization and interaction layer was built on a web-based Unity framework to render a photo-realistic 3D building model. This enabled immersive navigation and direct interaction with virtual representations of sensor locations. Drill-down capabilities supported granular data exploration from floor-level summaries to individual sensor readings, ensuring a comprehensive, data-driven operational overview.  The technology provider seeks partnerships with real estate developers, facility management firms, and building technology providers focused on smart, sustainable infrastructure. Collaboration may also involve hotel chains, mall operators, and data centre owners aiming to enhance operational efficiency and ESG performance. Real Estate & Facility Management Precision Utility Management: Real-time data from smart power and water meters enables precise consumption control. Facility managers can detect leaks or identify energy-intensive equipment instantly, reducing utility costs, an important factor in Singapore’s dense urban environment. Resource Efficiency & Compliance: The dashboard supports Singapore’s Green Mark certification and national water conservation initiatives by providing verifiable data on consumption reduction, efficiency performance, and improvement opportunities. Predictive Maintenance: Continuous monitoring of flow rates, pressure, and power quality allows early detection of potential plumbing or electrical issues, enabling proactive maintenance that minimizes costly outages. Occupant Engagement: Personalized dashboards within the immersive 3D model display each tenant’s consumption, fostering awareness and encouraging sustainable behavior aligned with national conservation drives. Commercial & Hospitality Operational Efficiency & Cost Savings: Hotels, shopping malls, and data centres can cut utility expenditures by identifying inefficiencies in real time, improving profitability and operational performance. ESG Reporting & Branding: Detailed utility data strengthens Environmental, Social, and Governance (ESG) reporting and highlights a reduced environmental footprint, enhancing brand reputation and appeal among sustainability-minded customers and investors. Enhanced Guest Experience (Hospitality): Optimised utility systems ensure stable comfort conditions, such as consistent air conditioning and water pressure, while supporting eco-friendly operations that resonate with modern travellers. The technology lies in its unprecedented integration of photorealistic 3D building visualization with granular, real-time IoT data on environmental conditions, power, and water utilities. It specifically leverages non-invasive measurement techniques, all delivered through an immersive and highly interactive dashboard. Unlike traditional BI dashboards that present data in flat, abstract formats, or existing BIM solutions that lack real-time sensor integration, this project provides an intuitive, spatial understanding of utility consumption. Stakeholders can virtually “walk through” a digital twin of their building to pinpoint locations of high-power draw or water leakage through visual data overlays. A key differentiator is the emphasis on non-invasive measurement, which enables seamless retrofitting into existing buildings with minimal disruption, significantly reducing adoption barriers for facility managers seeking immediate, data-driven insights into their utility footprint within Singapore’s dense built environment. This immersive experience transforms abstract data into actionable intelligence, fostering a deeper understanding of building performance. It drives resource conservation, enables rapid anomaly detection, and empowers more effective, data-driven decision-making for sustainability and operational efficiency, directly supporting Singapore’s Smart Nation and environmental objectives. Immersive, IoT, Dashboard, Sustainability, ESG, Green Mark Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Smart Cities, Sustainability, Sustainable Living

This AI-driven platform revolutionizes how construction and infrastructure projects are managed by transforming vast, unstructured project data into actionable intelligence. Built upon a large language model (LLM) trained on domain-specific data including regulatory requirements, contract documents, project schedules, communication logs, digital drawings, and specifications, the technology provides real-time insights and foresight across project lifecycles. It detects risks, predicts cost and schedule deviations, and highlights potential regulatory non-compliance before they escalate into major issues. By integrating across existing tools and data sources such as Microsoft Teams, WhatsApp, SharePoint, and email systems, the AI engine enables project stakeholders to make informed decisions through a single intelligent interface. Ideal collaboration partners include real estate developers, construction contractors, architecture and engineering consultants, and AI software integrators seeking to augment project performance through predictive analytics and knowledge automation. The platform combines AI-powered analytics, retrieval-augmented generation (RAG), and multi-source data integration to deliver deep insights across complex construction environments. Key components include: Data Ingestion Engine: Connects to structured and unstructured data sources (contracts, drawings, communications, etc.) for comprehensive knowledge assimilation. Construction LLM Core: Continuously trained on industry-specific datasets to identify risk factors, cost trends, and schedule slippage patterns. Risk and Compliance Module: Detects potential regulatory breaches, project scope deviations, and cost anomalies through automated reasoning. Search & Advisory Interface: Enables natural language queries for retrieving contextual project information, insights, and recommendations. It acts as an intelligent co-pilot for construction decision-making. Construction Project Management: Real-time detection of risks, non-compliance, and cost anomalies across multiple projects. Smart Infrastructure Development: Predictive analytics for large-scale public and private infrastructure programs. Software Integration for Built Environment: Embedding AI insights into existing ERP and workflow systems for developers and contractors. Complex Project Coordination: Enabling consultants and architects to query and visualize project intelligence across large digital datasets. This technology can be deployed by companies in construction, real estate development to improve efficiency, compliance, and profitability across the project lifecycle. This AI platform provides interpretive and predictive intelligence. Its unique strength lies in synthesizing information across disconnected systems. from contracts to chat messages, and generating foresight into cost overruns, schedule delays, and regulatory risks. By acting as a “digital advisor” that understands construction semantics, it helps project teams anticipate challenges, optimize resources, and make timely, data-driven decisions. This transforms reactive project management into proactive and predictive project governance. Construction, Cost Optimization, Risk Identification, Regulatory Compliance, AI, Analytics, Insights Infocomm, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence

Speech and voice disorders can significantly affect a person’s ability to communicate and engage with others, especially during childhood development. While special education schools provide valuable support within their premises, there remains a critical need for tools that empower individuals to communicate more confidently in everyday environments. This assistive communication technology bridges that gap. It combines both hardware and software to help users, primarily children under 12, though suitable for anyone who requires speech assistance to express themselves more clearly. Importantly, the device is not meant to replace natural speech but to supplement it, providing users with an additional way to articulate words or phrases that may be difficult to pronounce. In doing so, it supports inclusive communication and helps individuals build confidence in social interactions. This technology can be deployed in collaboration with special education institutions, medical device manufacturers, and software developers focusing on speech therapy and assistive technologies. The solution comprises both hardware and software components integrated into a mobile application compatible with most smartphones. For children under 12, the system is paired with a small, lightweight device sourced from a non-conventional mobile phone maker to ensure portability and ease of use. A unique feature of the system is its “focus lock” mode: once the application is activated, it cannot be exited without caregiver intervention, preventing distraction and ensuring the child remains engaged with the communication task. Parents or caregivers can remotely upload new words or phrases, allowing the vocabulary database to grow in tandem with the user’s progress and learning needs. The solution has already been implemented at a special-needs school in Singapore. It holds strong potential for broader use across early childhood care, special education, and speech therapy centers both locally and globally. By listing the app on mainstream mobile app stores, it can reach families and caregivers worldwide seeking cost-effective, user-friendly communication support tools. Many current communication apps fail to sustain engagement because children can easily exit the application and become distracted by other phone functions. This solution eliminates that challenge through its “lock-in” mode, which keeps users focused on communication activities. Additionally, the system is designed to work on most existing mobile devices, reducing hardware costs. Caregivers benefit from the ability to customize vocabulary remotely, ensuring the tool evolves with each child’s development. The combination of affordability, flexibility, and sustained engagement makes this solution a practical and inclusive advancement over existing options in the market. Assitive Communication Device Healthcare, Telehealth, Medical Software & Imaging, Sustainability, Sustainable Living