TECH OFFERS

The lithium-ion battery industry has long relied on cobalt-based cathode materials such as NCM (nickel–cobalt–manganese) and NCA (nickel–cobalt–aluminum) to achieve high energy density and stable performance. However, cobalt is expensive, environmentally unsustainable, and often associated with ethical issues in mining. As global demand for batteries continues to rise, there is an urgent need for cobalt-free alternatives that offer similar or better performance at lower cost. This technology introduces a new class of cobalt-free, high-nickel layered cathode materials designed for next-generation lithium-ion batteries. With a nickel content above 90%, it achieves both high energy density and long cycle life through improved control of material composition and surface stability during synthesis. The optimized process ensures high structural integrity, stable performance, and scalability for mass production—addressing key challenges in commercializing cobalt-free, nickel-rich cathodes. This innovation offers a sustainable, cost-effective, and high-performance solution that supports the battery industry’s shift toward cleaner and more responsible manufacturing. The technology owner is looking for R&D  and licensing collaborations with battery material manufacturers, EV battery producers, and energy storage system companies seeking cobalt-free and high-performance cathode solutions. Material composition: Li(Ni, Mn, M)O₂ (M = Ti, Nb, Ta, W, Mo etc.) Structure: Layered Co-free oxide with superlattice ordering (c/a > 1.6459) Grain morphology: Uniform 40–60 nm rod-type particles with surface-enriched layers Dopant control: Temperature-feedback DB ensures reproducible sintering between 700–900 °C for each dopant type Surface chemistry: Mn oxidation and diffusion suppressed via controlled precursor oxidation (Mn³⁺ → Mn⁴⁺) Electrochemical performance: Initial capacity > 200 mAh/g 80 % capacity retention after 500 cycles Enhanced interface stability (TOF-SIMS verified) Electric vehicles (EVs): High-energy, long-life batteries without cobalt dependency. Grid-scale energy storage: Stable, sustainable cathodes for long-cycle performance. Portable electronics: Lightweight, eco-friendly power sources with superior thermal stability. This Co-free high-nickel cathode platform can be adapted for both coin-cell and pouch-type battery systems, supporting scalability for mass production. Cobalt-free & sustainable: Eliminates cobalt without sacrificing stability or capacity. Reproducible process: Database-driven temperature calibration minimizes variation in large-scale synthesis. Superior interface stability: Mn diffusion control maintains gradient structure and prevents electrolyte decomposition. High crystallinity & lifetime: Optimized c/a ratio > 1.6459 ensures lattice stability even after long cycles. Scalable manufacturing: Simplified co-precipitation and solid-state lithiation processes support industrial adoption. Together, these advances enable high-energy, long-life, and eco-friendly batteries, ideal for both EV and stationary applications. Energy, Battery & SuperCapacitor

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

Wound healing is a complex process and is associated with multi-stage cell/tissue transformations. The entire wound healing process is generally complete around 20 days after skin injuries. Unfortunately, impaired wound healing, which usually occurs as a result of infection or the pathological status of the patients, i.e., diabetes, obesity, cancer, and in particular, severe inflammation, leads to excess exudate production and tissue ulcers, causing prolonged health problems and economic burdens for patients. This technology introduces a sterilized nanoemulgels xanthones (XTs-NE-Gs) which are compounds from mangosteen peel dispersed in a gel base. The methodology involves using a high pressure homogenization technique without the addition of organic solvents in the formulation to produce sterilized XTs-nanoemulsion (NE) concentrate. After blending sterilized XTs-NE concentrate and the sterilized gel, a sterilized XTs-NE-G was obtained.   The concentrate has proven effective enhancement activities on the proliferation and migration rates of skin cells. It also promoted re-epithelialization, collagen deposition and inflammation suppression in mice models. Xanthones has proven strong anti-oxidant, anti-inflammatory and anti-bacterial properties. The nanoemulgel technology can overcome the typical problems from the addition of some solubilizers to enhance solubility of XTs in the products, in particular, alcohol that cause burn sensation on the open wounds.  Importantly, the obtained product from this technology could be sterilized and thus safe for wound healing purpose. The technology owner is seeking collaborations for clinical trials to obtain information for supporting product safety and efficacy and manufacturers for scale up.  The study developed and optimized xanthones-loaded nanoemulgels (XTs-NE-Gs) for wound healing applications, focusing on formulation, physicochemical properties, and sterilization. Xanthones, primarily α-mangostin and γ-mangostin, were incorporated into an oil-in-water nanoemulsion using caprylic/capric triglyceride, oleic acid, and surfactants (polysorbate 80, sorbitan oleate 80). Droplet sizes in the nanometer range of 113–123 nm with narrow distribution (PDI 0.20–0.37) and negative zeta potential ( –7 to –8 mV), ensuring stability. Entrapment efficiency of 93–94%, loading capacity of around 1.2%. To improve viscosity and retention on wounds, gels with sodium alginate (Alg) and Pluronic F127 (F127) were added. Suitable viscosity of 2300 mPa·s while enhancing fibroblast proliferation and migration. Sterilization was achieved by 0.22 μm membrane filtration of nanoemulsion and autoclaving the gel, later combined aseptically. Stability studies showed no significant physicochemical changes over 90 days at 27 °C. Transmission electron microscopy confirmed spherical oil droplets embedded in gel matrices. In vitro release studies revealed controlled, sustained drug release consistent with Higuchi’s model, while ex vivo skin permeation indicated slower release from the gel compared to nanoemulsion.  The system offers a portable, safe, affordable wound care, with key technical features including adjustable viscosity, controlled drug release, sterility, compatibility, stability, and ability to stimulate fibroblast growth factors (bFGF, KGF/FGF-7), accelerating wound healing. The sterilized xanthones-loaded nanoemulgel (XTs-NE-G) represents a versatile wound care innovation with broad clinical and consumer applications. Designed to enhance fibroblast proliferation, collagen deposition, and re-epithelialization, it offers significant potential in acute wound management including: Surgical incisions, traumatic injuries, and burn care. Chronic and hard-to-heal wounds, such as diabetic foot ulcers, venous leg ulcers, and pressure sores, where infection control and accelerated healing are critical. Outpatient and home healthcare, providing patients with an affordable, portable, and easy-to-use treatment option. Natural compound base and sterilized preparation aligns with growing demand for safe, clean-label therapeutic products. Commercial wound dressings, gels, sprays, or patches. The technology’s modular design—allowing viscosity adjustment and controlled release enables adaptation for cosmeceutical and dermatological applications, such as scar reduction creams, anti-aging formulations, or products targeting skin barrier repair. Additionally, its nanoemulsion delivery platform may be extended to other lipophilic bioactives, making it valuable for broader pharmaceutical and nutraceutical industries. Due to its small droplets based on nanotechnology, it has promising activities for wound healing.  It enhances wound healing rate via accelerating skin cells proliferation, reducing inflammation, absorbs secretions from wounds and inhibits the growth of bacteria. This technology reduces production costs by using agricultural and industrial waste materials.    Xanthones, Nanoemulsions, Nanoemulgel, Sterilization, Wound Healing Personal Care, Cosmetics & Hair, Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

​The global silica market exceeds US$70 billion annually and grows over 7% each year, driven by demand from the semiconductor, tire, and green construction sectors. Despite this growth, conventional silica production relies on mined quartz, harsh chemicals, and energy-intensive processes, creating high costs and environmental burdens. There is an urgent need for sustainable, low-carbon alternatives that deliver industrial performance without a “green premium.” This patented technology converts agricultural residues such as rice husks into two high-value products: ultra-pure amorphous silica and biomass-derived carbon through a single, chemical-free process. It eliminates chemical waste, reduces CO₂ emissions, and can be implemented locally, turning waste into valuable materials. The technology provider is seeking rice producers, companies, and institutions globally interested in sustainable silica and carbon, as well as R&D organizations and universities advancing green materials and biomass utilization.  ​This technology employs a proprietary single-firing process to directly convert agricultural residues into two high-value products: ultra-pure silica (≈99.7%) and carbon. The process requires no harsh chemicals, making it safe, sustainable, and simple to operate. Compared with conventional alternatives, this process significantly reduces CO₂ emissions and maintains an exceptionally low environmental footprint. Designed for decentralized use at the source of agricultural waste, the system is well suited for small- to medium-scale facilities and can be seamlessly integrated into existing industrial processes. However, the performance of the carbon product has not yet been proven in actual operational environments and has only been demonstrated at the pilot level.  ​The technology can be applied across industries requiring high-purity silica or functional carbon materials, including:  ​Cosmetics: eco-friendly white silica for skincare and powder formulations  ​Tires: reinforcing filler for sustainable rubber compounds  ​Concrete and Construction: strength-enhancing additive with carbon credit benefits  ​Semiconductors and Glass: high-purity amorphous silica feedstock  ​Energy Storage: conductive carbon for lithium-ion and sodium-ion batteries  ​Achieves high purity and cost efficiency in a single clean process  ​Produces silica with an amorphous structure and ultra-white color, outperforming typical biomass-derived materials  ​Bridges industrial performance and sustainability, enabling partners to meet ESG goals while maintaining profitability  Rice Husk, Biomass Silica, Green Technology, Circular Economy, Carbon Materials, Sustainable Materials, Biomass Carbon Materials, Plastics & Elastomers, Chemicals, Inorganic, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy, Low Carbon Economy

Lignin polymer composites represent a class of sustainable materials that combine eco-friendliness, cost-effectiveness, mechanical reinforcement, with intrinsic functional properties such as UV protection, antioxidant activity, barrier performance, and antimicrobial effects. While conventional production methods often rely on solvents or require separate lignin modification steps—leading to higher costs and loss of functionalities—this technology introduces a one-step process to efficiently produce lignin biopolymer composites by efficiently blending lignin and essential oils into a polymer. The technology works by directly dissolving lignin in essential oils and then feeding this solution, along with a biopolymer like PLA, PBS, PBAT, or PP, into a twin-screw extruder. This method ensures an even dispersion of the mixture throughout the material without the need for additional solvents or complex pre-processing. The resulting material has enhanced properties, including antimicrobial, UV-resistant, and antioxidant capabilities, as well as controlled release of active ingredients. The final materials can be manufactured into various products, including 3D printing filaments, films, or molded items. The technology owner is seeking collaborations with partners in Singapore, particularly those involved in medical materials (e.g., wound dressings), active food packaging, biodegradable agricultural films, and 3D printing materials, to co-develop innovative solutions that support a circular economy. The technology is a single-step process to efficiently produce lignin biopolymer composites by efficiently blending lignin and essential oils into a polymer. Key features of the lignin biopolymer include: Manufacturing One-step solvent-free process using a twin-screw extruder Direct dissolution of lignin in essential oils prior to compounding with biopolymers, eliminating the need for separate lignin preparation or additional solvents Compatible with standard industrial extrusion machinery, enabling continuous and scalable production. Suitable for blending with a range of biopolymers such as PLA, PBAT, or PBS Exhibits antimicrobial, UV-resistant, and antioxidant properties Preserves essential oil functionality for controlled prolonged effectiveness Can be manufactured into various products, including 3D printing filaments, films, or molded items Potential applications include (but not limited to): Bio-based food films or bags with antimicrobial properties to prevent contamination Medical materials or devices, such as antiseptic wound dressings 3D printing filaments for producing safe, functional components Biodegradable agricultural films, like mulch films that protect against soil pathogens One-step, solvent-free production process – eliminates the need for lignin pre-treatment or additional solvents, enabling cost-efficient, continuous manufacturing on existing industrial machinery. Enhanced functional performance – biocomposites retain lignin’s natural UV and antioxidant properties while integrating essential oils for antimicrobial activity and controlled release of active agents. Sustainable and versatile materials – transforms low-value lignin into high-performance biocomposites for various applications essential oils, biodegradable materials, UV-resistant, biocomposites, eco-friendly, antimicrobial, polymers, lignin, composites, 3D printing filaments, moulded, plastic Materials, Composites, Bio Materials, Manufacturing, Chemical Processes, Foods, Packaging & Storage

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