TECH OFFERS

All-solid-state lithium batteries are emerging as the next frontier in energy storage, offering higher safety and energy density than conventional lithium-ion systems. A key challenge in their development lies in producing high-purity lithium sulfide (Li₂S)—a critical precursor for sulfide solid electrolytes such as Li₁₀GeP₂S₁₂. Conventional synthesis methods typically require high temperatures and complex purification, resulting in high costs and limited scalability. This technology presents a novel low-temperature chemical synthesis process for producing battery-grade Li₂S under mild reaction conditions (below 100 °C). Using a solution-based approach with organic solvents, surfactants, and catalysts, the process achieves precise control over Li₂S particle size (50 nm–1 µm) and crystallinity. The resulting material exhibits high purity (up to 99.5% - 99.9%), high yield (85% - 90%) and improved ionic conductivity when incorporated into solid electrolytes. The simplified synthesis eliminates post-annealing and purification steps, reducing production cost and energy use while enabling scalable mass production. There is also no need for dry-room or toxic-gas facility, drastically reducing costs for CAPEX and OPEX.  The technology owner is looking for R&D collaboration with battery manufacturers, material suppliers, and R&D institutions who are developing next-generation all-solid-state batteries. Synthesis method Low-temperature, solution-based chemical synthesis operating below 100 °C, enabling energy-efficient production of high-purity lithium sulfide (Li₂S). Process characteristics Conducted under mild reaction conditions (1–4 hours) in a controlled solvent environment. Achieves uniform particle formation with precise control of particle size (50 nm – 1 µm) and crystallinity. Eliminates post-annealing and complex purification, simplifying downstream processing. Suitable for continuous or batch-type scale-up, compatible with industrial chemical reactors. Product properties: High-crystallinity, high-purity Li₂S with minimal oxide or carbonate impurities. Stable morphology supporting homogeneous mixing with sulfide glass or crystalline precursors. Demonstrated high ionic conductivity and enhanced coulombic efficiency when used in solid electrolytes (e.g., Li₁₀GeP₂S₁₂-type systems).– Improved capacity retention and cycling stability in all-solid-state lithium cells. Integration: The Li₂S material can be readily combined with GeS₂ and P₂S₅ or other sulfide formers through standard ball-milling and pellet-sintering techniques to fabricate dense, high-performance solid electrolytes. All-Solid-State Lithium-Ion Batteries (ASSBs): Li₂S serves as a core raw material for sulfide-based solid electrolytes. Advanced Energy Storage Devices: Applicable to high-energy, safe, nonflammable storage systems for EVs, portable electronics, and grid energy storage. Material Supply Chain Innovation: Can be integrated into Li₂S powder manufacturing for solid-state electrolyte production lines. R&D Platforms: Useful for developing new sulfide-based composite electrolytes and interface-stabilized cathodes. Unlike conventional Li₂S synthesis methods that rely on high-temperature processes (>400 °C) or hazardous gas precursors (H₂S), this technology employs a low-temperature wet-chemistry approach using readily available, safer precursors. It offers: High crystallinity and purity without the need for annealing Controlled particle morphology (flake or spherical) to enhance electrolyte dispersion Shorter reaction time (1–4 hours versus >10 hours) Simplified, scalable process suitable for mass production and industrial implementation This combination of process efficiency and material quality results in higher ionic conductivity and greater performance stability in solid-state batteries—delivering a strong competitive advantage for next-generation energy storage manufacturing. Chemicals, Catalysts

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

The Integrated Smart Infrastructure Management Platform is an AI-powered software solution that functions as the digital command center for smart buildings and large-scale facilities. It connects and manages diverse IoT devices and subsystems, including HVAC, lighting, security, and energy, within a unified digital environment. Through real-time data integration, AI-driven predictive analytics, and cross-system automation, the platform enables seamless monitoring and intelligent control of infrastructure operations. It addresses key challenges such as data silos, delayed responses, high energy consumption, and inefficient maintenance, helping organizations enhance operational resilience and sustainability. Designed for complex operational environments such as campuses, data centers, hospitals, and industrial parks, the platform transforms fragmented systems into a cohesive, adaptive, and energy-efficient ecosystem that empowers facility managers to make faster, data-driven decisions. Ideal collaboration partners include property developers, public infrastructure operators, system integrators, and smart building solution providers who are seeking to localize or enhance their digital operations capabilities.  Built on a cloud-native microservices architecture, the platform is scalable, secure, and suitable for hybrid or multi-cloud deployment. Key features include: AI-based Predictive Maintenance: Detects and resolves equipment anomalies before failures occur. Unified Data Layer: Collects, fuses, and visualizes real-time data from multiple systems and IoT devices. Open API Ecosystem: Integrates seamlessly with third-party platforms, sensors, and legacy equipment. Low-Code Automation Tools: Enables intuitive workflow orchestration without extensive programming. Energy Intelligence Suite: Monitors and forecasts energy usage while recommending optimization strategies. Secure & Reliable Operation: Includes fine-grained access control, multi-level alerts, and hot-upgrade capability for continuous service. By consolidating operational data and control logic, the platform delivers a unified digital environment for intelligent facility management and decision-making. The platform is ideal for organizations pursuing digital transformation, energy efficiency, and operational excellence in infrastructure management. Key application areas include: Green Data Centers: Optimize power efficiency (PUE) and ensure predictive maintenance. Smart Hospitals: Manage environmental safety, equipment reliability, and energy consumption. Industrial Facilities: Support production reliability, predictive maintenance, and carbon reduction. Urban Infrastructure: Enable city-level collaboration and integrated asset management. Retail & Hospitality Chains: Standardize and centralize multi-site operational management. Across these domains, the solution provides the foundation for sustainable, intelligent, and cost-effective operations. The Integrated Smart Infrastructure Management Platform transforms facility operations from reactive maintenance to proactive intelligence. Unlike conventional systems that monitor each subsystem independently, it unifies all assets and data under one AI-enabled management layer. Its unique strengths include: Real-Time Situational Awareness: Continuous data collection and visualization across all subsystems. Predictive Intelligence: AI algorithms forecast faults and optimize performance. Cross-System Collaboration: Automated responses that link previously siloed systems. Energy & Cost Optimization: Smart control logic reduces resource waste and operating expenses. Open & Scalable Architecture: Supports extensive customization and partner ecosystem growth. This comprehensive, future-ready solution helps organizations achieve greater reliability, sustainability, and operational efficiency, while creating opportunities for new service and technology partnerships. Building Operations Platform, Predictive Maintainence, Energy Optimization, Intelligent Facility Management, Data Fusion, Green Building Technology Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Operating Systems, Smart Cities, Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems

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

While split-thickness autograft (STSG) combined with dermal substitutes remains the conventional procedure for burn wounds, evolving advancement in technologies have provided alternatives and multi-model treatment for deep burns which includes mechanisms such as dermal scaffolds, cellular therapies, anti-microbial dressings and regenerative adjuncts. This technology introduces a topical burn treatment formulated with Transition Metal Dichalcogenide (TMD), WS2 (tungsten disulfide) nanosheets as the key active ingredient. TMDs are a class of two-dimensional (2D) layered materials combining tunable electronic, optical, and catalytic properties with excellent mechanical flexibility and chemical stability. Traditional burn therapies mainly focus on anti-bacterial activity but often delay healing due to strong cytotoxicity. The TMD nanosheet formulation shows powerful anti-oxidant, anti-inflammatory, and anti-bacterial effects simultaneously. It efficiently scavenges reactive oxygen and nitrogen species (ROS/RNS), suppresses inflammatory cytokines, and reduces cell apoptosis—ultimately minimizing tissue damage and promoting faster wound recovery. These attributes make TMDs promising for next-generation biomedical materials, particularly in antibacterial coatings, wound dressings, and photothermal therapy—offering multi-functionality beyond traditional metallic or polymeric materials. Laboratory and animal studies have verified its efficacy and safety, suggesting strong potential for clinical translation once large-scale synthesis and formulation optimization are completed. The technology owner is seeking collaboration partners with:  Pharmaceutical and skincare companies Medical material manufacturers Clinical research institutions interested in nanomaterial-based drug delivery systems and topical wound-care products. The technology patent comprises formulating the pharmaceutical composition for treating burns and adding TMD to a polymer solution.  The TMD nanosheets are synthesized through a simple, low-cost, and scalable process that yields highly stable, biocompatible nanosheets. Demonstrate low cytotoxicity of active oxygen species/nitrogen species even at high concentrations, superior anti-oxidant capacity, and broad-spectrum anti-microbial activity. Key mechanisms include reduction of oxidative stress, inhibition of inflammatory mediator release, and enhancement of antimicrobial peptide secretion. Form-factor flexibility (can conform to irregular, exudative, or graft-adjacent areas). Likely ambient-stable polymer composites. Potential to reduce antibiotic use.   This technology can be applied in healthcare and dermatological industries, particularly for: Burn and wound-healing creams, sprayable/injectable hydrogels, or patches/ films Anti-inflammatory and skin-regeneration products Chronic wound care for diabetic foot ulcers or other skin disorders It can also extend to cosmeceutical or dermatology platforms requiring oxidative stress control and anti-aging functions. The global burn-care market exceeds USD 2 billion annually and continues to grow due to increasing industrial and household burn injuries.  Because the TMD nanosheet formulation provides broad-spectrum, low-toxicity, and multifunctional benefits, it offers a compelling alternative to existing silver-based or iodine-based treatments, which often cause cytotoxicity or delayed recovery. Unlike existing treatments such as silver sulfadiazine (SSD) or povidone-iodine, which mainly target infection control, this technology offers comprehensive tissue protection and regeneration via a single nanomaterial platform. It combines anti-oxidation, anti-inflammation, anti-bacterial, and anti-apoptotic mechanisms—delivering synergistic healing effects with minimal side effects. It provides an anti-bacterial effect through expression of an anti-bacterial peptide. Its scalable synthesis, high stability, and strong biocompatibility also make it ideal for cost-effective production and long-term storage. TMD Nanosheets, Burn Therapy, Wound Healing, Antioxidant, Anti-inflammatory, Nanomedicine Materials, Nano Materials, Personal Care, Cosmetics & Hair, Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

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

Conventional lightweighting materials often face an inherent trade-off between structural integrity, weight reduction, and multifunctionality. Common composites and polymer foams achieve lower weight but typically compromise on mechanical robustness, acoustic absorption, or electromagnetic compatibility—limitations that constrain energy efficiency, payload optimization, and system reliability in next-generation aerospace and urban air mobility platforms. This technology introduces a new class of ultra-lightweight functional materials with densities below 10 mg/cm³, offering a combination of extreme lightness, tuneable multifunctionality, and structural stability. By combining extreme lightness with multifunctionality, it addresses critical challenges in industries such as aerospace, urban air mobility, and advanced electronics. Key applications of these materials include noise reduction through sound-absorbing materials for drones, eVTOLs, and aircraft; lightweight electromagnetic shielding and wave absorption for aerospace and communication systems; and thermal management solutions, including insulation materials for aircraft, that enhance energy efficiency and operational safety. The technology owner is interested to work with aerospace, mobility, or electronics manufacturers on joint R&D projects, prototyping and test-bedding opportunities to commercialise the next-generation of lightweight materials. The ultra lightweight and multifunctional materials exhibit the following features: Ultra lightweight sound absorption - significantly lighter than conventional insulation or acoustic foams, enabling weight reduction without compromising performance. Broadband electromagnetic shielding - capable of shielding electromagnetic waves across a wide frequency spectrum, suitable for aerospace and advanced communication systems GHz-range absorption - has absorption properties in the GHz range, addressing critical needs for drones, eVTOLs, and satellite systems Thermal management performance - the materials have thermal insulation and management capabilities, applicable to aircraft cabin insulation and other high-demand environments Buoyant functionality - the material is lighter than air that naturally levitates in the atmosphere, unlocking opportunities for novel applications in aerospace, robotics, and energy systems. Ultra-lightweight materials can be used in drones, eVTOLs, aircraft, and spacecraft applications to address the following challenges: Suppressing electromagnetic noise Enhancing communication quality in communication devices Noise reduction for drones and eVTOLs Thermal and acoustic insulation requirements Extremely low density (<10 mg/cm³) – provides significant weight savings compared to conventional materials Multifunctional - combines sound absorption, EM shielding, and thermal management into a single tunable material Lighter-than-air capability - offers a paradigm shift in aerospace materials design, enabling lightweight, high-performance, and energy-efficient components that meet stringent performance demands ultra lightweight, materials, sound absorbing, electromagnetic wave shielding, electromagnetic wave absorbing, thermal management, aerospace, urban air mobility, mobility, lightness, multifunctional, advanced electronics Materials, Composites