TECH OFFERS

The growing challenge of plastic waste and non-biodegradable absorbent materials is driving demand for bio-based alternatives that deliver performance without utilisation of petrochemicals. Poly-γ-L-glutamic acid (L-PGA) stands out as a biodegradable, biocompatible biopolymer with exceptional water retention and film-forming properties, making it highly relevant to applications requiring such functionalities. Commercial adoption has been limited as most commercial PGA is DL-PGA (a racemic polymer with lower stereoregularity and less predictable chemistry) while the preferred L-PGA grade remains scarce and costly under the single supplier archaea-based production route. This technology offers a cost-efficient and scalable platform for L-PGA production. Using proprietary microbial strains, it can produce consistent, ultra-high molecular weight L-PGA with stable quality and stereoregular purity. The resulting stereoregular L isomer material enables early adoption in cosmetics/personal care and medical materials, with the potential to expand into bio-based superabsorbent polymers (SAPs) and bioplastics as production capacity increases. To accelerate market adoption and tailor application-specific L-PGA grades, the technology owner seeks co-development and scale-up partners for this L-PGA technology (current readiness is at bench-scale, with next steps focused on jar-bioreactor scale-up and standardized testing). Strain engineering (plasmid‑free): Genome‑integrated L‑PGA pathway in GRAS Bacillus subtilis, with targeted metabolic/regulatory edits for robustness and titer Delivers ultra‑high‑molecular‑weight L‑PGA and supporting long‑run stability. Cost‑optimised synthetic medium: Chemically defined, low‑cost medium that maintains product purity and simplifies downstream processing Achieves a material reduction in cultivation‑medium cost versus archaea‑based production Product format & suitability: Homochiral L‑isomer polymer supplied as water‑clear solutions; suited to hydrogels/adhesives, cosmetic ingredients, and bioplastics/coatings. Samples and prototypes can be co‑developed with partners for grade‑specific validation Scale‑up and process development are advancing through two complementary approaches. Conventional liquid culture is advancing toward pilot for process and product validation. In parallel, an energy‑efficient route—engineered filamentous cells immobilised on a thin‑filter carrier—is under R&D. This design aims to overcome viscosity limits, improve oxygen transfer, and support high-density continuous production with reduced aeration and agitation energy requirements. Cosmetics and Personal Care As a biodegradable, biocompatible moisturising/film‑forming ingredient, L‑PGA can be used in serums, creams, sheet masks and hair/scalp care. Medical materials Serves as a platform for wound‑healing hydrogels and tissue adhesives/surgical glues, as well as drug‑delivery or regenerative scaffolds.  Hygiene products L-PGA can be used as bio‑based SAP grades for diapers and feminine/personal hygiene, offering high water uptake and salt‑tolerant absorbency with the added advantage of biodegradability. Bioplastics & coatings/films L‑isomer stereoregularity supports tougher, more predictable networks for bioplastic resins, barrier coatings, and flexible films that can reduce reliance on petroleum‑derived additives. High quality L-PGA – consistently produces the all-L isomer with predictable chemistry and superior performance Cost-competitive – the proprietary microbial platform lowers production costs significantly Scalable and industrially ready – this technology is compatible with standard bioprocesses, advancing to pilot scale with parallel R&D in continuous, energy-efficient cultivation. biopolymer, polyglutamic acid, PGA, bio-based, biotechnology, cosmetics, personal care, medical, hydrogels, superabsorbent polymer, biodegradable, materials, cost-efficient, strain engineering, stereochemistry Personal Care, Cosmetics & Hair, Materials, Bio Materials, Chemicals, Polymers, Life Sciences, Industrial Biotech Methods & Processes, Bio-based

Social issues such as labor shortages are becoming more apparent, making it urgent to utilize digital technology to transform workflows and work styles. In particular, there has been increasing demand for spatial digitalization to streamline renovation processes across various fields. When renovating offices, houses, factories, and other spaces, it is necessary to measure dimensions and create floor plans, which often involves manual work. However, measuring all dimensions and generating floor plans or 3D models manually takes a significant amount of time. Moreover, overlooked measurements often require additional site visits, further delaying the process. Recently, spatial digitalization using sensors such as cameras has been introduced to address these challenges. By sensing spaces and generating point clouds, which are then converted into 3D models, efficiency can be improved. However, existing methods still present issues. Creating point clouds with desktop devices is costly and time-consuming. When using general mobile devices, the accuracy is low and results depend heavily on the operator. Furthermore, transforming point clouds into 3D models often requires extensive manual work and considerable time. This method addresses these challenges. Using low-cost mobile devices, anyone can quickly and accurately acquire point clouds, which can then be automatically transformed into 3D models within just a few hours. Assistance System – Data capture is completed in a single scan with the assistance system, which enables even beginners to obtain high-precision point clouds. This eliminates the need for repeated measurements and significantly improves workflow efficiency. Automatic BIM Transformation – Point clouds are automatically converted into BIM models on the spot, allowing immediate sharing of results. This not only reduces processing time but also makes it easier to provide customers with quick estimates and proposals. Realistic 3D Representation – High-accuracy point clouds combined with realistic 3D visualization enable remote space inspection. This simplifies spatial review, accelerates consensus-building, and reduces travel costs. The technology owner is seeking collaboration with IT system providers, IoT solution providers, BIM/CAD 3D platformers, system integrators, and IT consultants who can co-develop the technology to enhance functionality and differentiation, as well as develop and implement systems that support commercialization and market deployment. Spatial information with high speed and high accuracy during renovation can reduce costs, enable high-quality proposals, and be applied across various use cases: Factory optimisation: Optimize work processes through simulation. Renovation renovation: Quickly propose the optimal plan to customers. Office reform: Design comfortable spaces for office workers. Retail design: Create retail layouts optimized for attracting customers. Reducing cost Labor costs can be reduced since all spatial information can be captured in a single day (approximately one-tenth the usual time). The assistance function and automatic 3D model transformation eliminate the need for specialists and extensive worker training. Realistic 3D representation of spaces shortens consensus-building time and reduces travel costs. Quick and High-Quality Proposals Rapid 3D model generation allows delivery of quick, high-quality proposals to customers. Proposals can be prepared within 2–3 days, helping maintain customer engagement and motivation. Simultaneous Localization and Mapping (SLAM), 3D Reconstruction, Modelling, Sound, Lighting, and Airflow Simulation, Digitalisation Electronics, Sensors & Instrumentation, Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

This IoT and AI-driven solution directly addresses critical logistics challenges, including product spoilage, quality degradation, and compliance failures, particularly in cold-chain and high-value supply chain environments. Given that product spoilage alone costs companies 3–7% of their annual revenue, the technology’s core value lies in its ability to transform logistics management from a reactive process into a proactive and intelligent operation. The solution’s robust platform is built on three key technological pillars: An IoT sensor device for real-time data collection. An AI-driven predictive model for deep analysis. An integrated data management platform that unifies insights. This system leverages domain-specific data management to handle complex knowledge, ensures quick and accurate forecasts through advanced modeling, and dynamically adjusts risk thresholds in real time using AI-based risk management. By integrating these elements, the technology provides comprehensive visibility and enables timely intervention, preventing minor issues from escalating into major disruptions. Ultimately, this solution is ideally suited for sectors such as biopharmaceuticals, fresh food, and high-value asset transportation, where its accuracy and speed can significantly reduce operational losses. This solution integrates a suite of advanced hardware and software components to deliver comprehensive supply chain visibility. The technology consists of IoT-enabled multi-sensor devices that capture critical data on temperature (–30°C to +70°C), humidity (20–90% RH), shock (±16 g), light, and location (GPS). These devices feature onboard Edge AI for intelligent data filtering, a robust battery life of up to 90 days, and versatile connectivity options including LTE-M, NB-IoT, and BLE. An operating app enables users to upload and manage data from the sensor devices, and a gateway can be connected for more effective condition monitoring. The data is processed by a powerful cloud-based SaaS platform powered by machine learning models. This platform delivers predictive analytics on transport routes and environmental variables, and offers a user-friendly interface with real-time dashboards, automated alerts, and customizable reports. The system supports seamless API integration with existing enterprise systems such as ERP and WMS, while ensuring compliance with standards including HACCP (Hazard Analysis and Critical Control Points) and GDP (Good Distribution Practice). This technology provides a scalable, compliance-ready visibility solution that transforms logistics management from reactive to proactive. This technology can be deployed in biopharmaceutical cold-chain logistics, food cold-chain, fresh produce supply, electronics, and warehouse operations, where quality and compliance are critical. The technology also underpins marketable products such as IoT multi-sensor trackers, SaaS monitoring platforms, compliance reporting tools, and risk analytics services, enabling end-to-end supply chain visibility and resilience. Ideal Collaboration Partners include: Pharmaceutical and Biopharma Companies – Vaccine and drug cold chain transport. Cold Chain Logistics Providers – Shipping lines, freight forwarders, 3PLs. Warehouse Operators – Cold storage and bonded warehouses handling items and goods requiring sensitive care. Adjacency Partners – Transport container manufacturers, IT integrators, and digital supply chain platforms. Institutes of Higher Learning (IHLs) and Research Centres – Compliance validation and applied R&D Strategic Consulting Firms – partners with deep insight into vertical industry trends and regulatory frameworks, enabling joint PoCs and BETA trials with leading service providers in the market.   The Singapore cold chain market was valued at USD 5.09 billion in 2024 and is forecast to grow at a CAGR of 23.2%, reaching around USD 32.45 billion by 2033. (source: Grandviewresearch.com) This AIoT solution is uniquely positioned to capitalize on this significant market growth by transforming traditional cold chain monitoring into an intelligent, data-driven system. While many competitors offer basic sensor-based tracking, this platform utilizes advanced AI and Machine Learning models to process vast amounts of multi-sensor data in real time. This allows the system to analyse historical patterns and external variables to generate highly accurate predictive risk alerts, enabling proactive issue resolution before product loss or compliance failures occur. This intelligent approach, combined with unified device-platform delivery, customizable reporting, and seamless API integration, provides a comprehensive solution that far surpasses the capabilities of traditional sensor-only solutions. The technology provides a significant improvement over the current state of the art by leveraging an intelligent AIoT platform. It features: Multi-sensor precision devices that capture temperature, humidity, shock, light, and location data in real time. These smart devices utilise Edge AI for efficient on-device data processing, which then feeds into a cloud platform. The cloud platform goes beyond simple monitoring, alerts, and reporting, it employs advanced machine learning models to transform raw sensor data into actionable insights and proactive risk predictions. Users gain a unique competitive advantage through customised alerts and reports aligned with their standard operating procedures (SOPs). This solution has proven reliability with major enterprises in South-Korea and offers flexible adoption through single-use or multi-use devices with API integration, making it a scalable and highly intelligent solution for modern logistics. IoT, AIoT, Real-Time Tracking, Data & Predictive Risk Analytics, Cold Chain Monitoring, Regulatory Compliance Infocomm, Artificial Intelligence, Internet of Things, Foods, Quality & Safety, Logistics, Transportation, Value-Added Services

The foveal machine vision method is a well-established human-eye-inspired technology that mimics the way our eyes focus on details in the centre of vision (the fovea) while keeping peripheral areas in lower resolution. The current invention applies this mature principle to capsule endoscopy, and by integrating attention-driven imaging, adaptive radios, and visual–inertial fusion, it delivers a uniquely efficient and clinically relevant solution for fewer missed diagnoses and improved patient outcomes. For clinicians: The system integrates seamlessly with existing PACS (Picture Archiving and Communication System) and EMR (Electronic Medical Record), requires minimal onboarding, and mirrors current reading habits. It streamlines the review process while ensuring clinicians retain full control by accepting or editing findings before making the final decision. For patients: The exam remains outpatient and sedation-free, with no disruption to daily activity, while improved targeting and localization help reduce the need for repeat procedures. This technology overcomes key limitations of current capsule endoscopy in gastrointestinal (GI) diagnostics — namely low image resolution (~500 X 500 pixels), slow frame rates (<5 frames per second), and excessive energy use — that can compromise lesion detection and often necessitate repeat procedures. Ideal collaborators include R&D partners to advance development, gastroenterology departments for clinical validation, device manufacturers for capsule integration and scaling, and telemedicine providers to enable remote diagnostic deployment. The system is a swallowable capsule endoscope with a high-resolution imaging sensor, real-time AI inference engine, and wireless transmission module. It operates in a continuous loop in two modes mimicking human visual attention: A routine low-power full-field scanning mode An intelligent focus mode: high-resolution, high-frame-rate, activated upon the detection of suspected abnormalities. The adaptive radio then transmits the additional data efficiently, while the server integrates video and inertial cues to estimate position, performs multi-class diagnosis, and generates a structured report with linked evidence. The technology has already achieved successful laboratory validation of its key modules, including fast-switching imaging from full field to region of interest, robust wireless link and power control in benchtop and tank models, offline lesion detection on curated datasets, and visual–inertial localization on recorded trajectories. The next step is to bring these proven capabilities together into a unified capsule form factor, advancing through ex vivo and simulated validation toward clinical translation. With a strategy that prioritizes high sensitivity for clinically relevant lesion classes, while ensuring acceptable precision and clear evidence trails, the platform is well-positioned to progress rapidly toward higher TRLs in collaboration with clinical partners. This technology can be deployed in the healthcare diagnostics industry, particularly for gastrointestinal (GI) disease screening and monitoring. It is suitable for hospitals, endoscopy centres, and telemedicine services that require non-invasive and accurate diagnostic tools. Foreseeable applications include the early detection of obscure GI bleeding, polyps, and cancers. The global capsule endoscopy market was valued at approximately USD 570 million in 2024 and is expected to reach USD 1.1 billion by 2032, growing at a CAGR of 8–9%. Growth is driven by the rising burden of gastrointestinal (GI) diseases and the demand for non-invasive, patient-friendly diagnostics. North America leads the market due to its advanced healthcare infrastructure, while Asia-Pacific — particularly China, India, and Singapore — is the fastest-growing region, supported by increasing healthcare investment and awareness. Key users include hospitals with GI departments, screening clinics, and telemedicine providers. The market favours solutions that deliver high image quality, AI-assisted analysis, and streamlined clinical integration — all of which align directly with this technology’s strengths. The innovativeness of this technology lies in two areas: Advancing the traditional foveal machine vision method and system through both hardware and software improvements: Hardware: The imaging and compute path is designed to switch seamlessly between wide view and high detail while efficiently managing power and bandwidth within the capsule. Software: The system provides on-capsule detection and tracking, server-based triage and diagnosis, and a localization engine that fuses vision and inertial data into a reliable clinical map. Extending the established approach into capsule endoscopy, a field with limited prior use, by addressing existing limitations: Clinicians worry that selective imaging could miss important peripheral details. The system addresses this by continuously capturing full-field frames without turning the background off, while enhancing only clinically relevant regions. Sensitivity thresholds are set high, with every escalation logged for full auditability and reader confidence. Reviewing capsule endoscopy today requires clinicians to sift through tens of thousands of images, making the process slow and labour-intensive. The current system streamlines this by highlighting prioritized findings with key frames, confidence scores, timeline, and an auto-generated structured report. Early internal studies show it reduces review time significantly without sacrificing sensitivity. Unlike fixed-resolution capsules, the current approach focuses high-resolution imaging where it matters, delivering up to tenfold greater lesion detail with efficient power use, plus precise localization, intelligent triage, and adaptive data transmission. AI, Capsule Endoscopy, Robotics, Wireless Communication, Electronics Healthcare, Telehealth, Medical Software & Imaging

Modern buildings consume significant amounts of electricity through air conditioning systems. However, many conventional setups rely on static schedules or simple rule-based controls that do not adapt to dynamic factors such as external weather, occupancy, or usage patterns. This often results in higher energy costs, reduced occupant comfort, and unnecessary wear on air conditioning equipment. To address these challenges, the technology owner has developed an advanced air-conditioning optimisation system that leverages real-time sensor data, weather forecasts, and machine learning to dynamically regulate operations. The system features intelligent temperature detection that maintains an optimal balance, neither too cold nor too hot, while automatically controlling air-conditioning and heating in real time, thereby improving energy efficiency, supporting ESG practices, and ensuring a consistently comfortable indoor environment. Designed for seamless installation and operation via a user-friendly interface, the solution is suitable for both small-scale users and large facilities managing multiple air conditioning systems. When integrated with central air control systems, it reduces manual workload for operators while optimising energy use across entire buildings. Successfully deployed in retail stores, offices, and warehouses in Korea, the technology has demonstrated proven value across diverse environments. The technology owner is seeking industrial partners for test-bedding and adoption of their AIoT solution. They are also keen to collaborate with HVAC companies and air handling unit (AHU) manufacturers to co-develop integrated solutions that create win-win opportunities and drive sustainable growth. Key technical features of this solution include: Integrated Hardware and Software: Consists of a hub, controller, and sensors, powered by an AI engine and operating system that enable intelligent management of air-conditioning units Human-Centric Sensing: Unlike conventional systems, the sensor captures temperature and humidity data directly around occupants, ensuring comfort is monitored and managed where it matters most Comprehensive Data Inputs: Integrates both indoor sensor data and external weather forecasts, referencing inputs from the nearest outdoor weather station Predictive, Data-Driven Control: Utilises machine learning to predict changes in indoor temperature, humidity, and heat load. The system determines the optimal operation strategy of air conditioners, such as which units to activate, set-point temperatures, modes, and wind speeds, to maintain stable indoor comfort Government and commercial office buildings Retail centres and shopping malls Healthcare facilities (e.g., public / private hospitals, clinics) Hotels, cinema and theatres Education Institutions (e.g., schools, university campus) Data centres Industrial facilities (e.g., factories, warehouses) Optimised Comfort with Efficiency: Continuously maintains indoor temperature, balancing thermal comfort with energy savings AI-Driven Adaptability: Learns from environmental changes and usage patterns, going beyond conventional control systems Economic Benefits: Delivers tangible energy savings of 10–30%, reducing both operational costs and carbon footprint Ease of Deployment: Enables quick installation without power disruption and requires minimal maintenance Automated Operation, Optimization, Improving System, Intelligence, Decision Making, Energy Saving, Digitalization, Management Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Electronics, Power Management, Green Building, Heating, Ventilation & Air-conditioning, Sustainability, Sustainable Living

Reliable cold storage is critical for preserving food and pharmaceutical products, yet conventional refrigeration requires a stable electricity supply that is often unavailable in underdeveloped regions. Traditional passive evaporative cooling methods, while centuries old, are highly dependent on ambient humidity and temperature and lack consistent performance. This technology introduces a Portable Electrostatic Cooling Enhancer that enhances evaporative cooling using a low-power electrostatic generator. By generating a gentle ionic wind directed at an evaporating medium such as a hydrogel, the device significantly accelerates evaporation and boosts cooling power with minimal energy input. The cooling strength can be adjusted easily by tuning the electrostatic generator, allowing goods to be maintained at desirable sub-ambient temperatures even under fluctuating environmental conditions. Compact and energy-efficient, this innovation has the potential to support cold-chain logistics operators, food and grocery delivery platforms, and pharmaceutical distributors, particularly in regions with limited infrastructure. Its portability also makes it suitable for widespread adoption across supply chains, ensuring reliable access to fresh produce, medicines, and vaccines. The cooling enhancer consists of microelectrodes arranged with a grounded electrode, powered by a portable, battery-driven electrostatic generator. As the generator is switched on, air molecules in the vicinity of the microelectrodes are ionized and attracted towards the ground electrode. As they travel across the air gap, an ionic wind that blows towards the cooling medium accelerates the removal of water vapor molecules from an evaporating surface such as a hydrogel or water-rich medium.  By adjusting electrode spacing and voltage, users can tune both wind speed and cooling intensity, achieving portable, scalable, and ultra-efficient sub-ambient cooling Laboratory results demonstrated: Cooling power enhancements of up to 88% at low voltages (~5 kV). Coefficient of Performance (COP) > 1000, far surpassing conventional evaporative coolers (COP 10–80). Hydrogel media outperform liquid water in maintaining colder surface temperatures due to reduced convection losses, offering safe, spill-free cooling adaptable to irregular or vertical surfaces.   This cooling enhancer is ideal for passive sub-ambient cooling applications where energy availability is constrained but reliable cold storage is essential. Cold-chain logistics: Ensuring stable sub-ambient storage for vaccines, biologics, and fresh produce during transport, particularly in off-grid or resource-limited regions. Rural and humanitarian aid: Portable coolers for food and medicine distribution in underdeveloped regions without consistent refrigeration. Consumer and commercial cooling: Integration into food delivery platforms or last-mile distribution boxes to reduce reliance on ice or bulky powered refrigeration. Building and infrastructure cooling: Scalable hydrogel coatings or panels for passive temperature regulation on walls, rooftops, and solar farms. Specialized electronics and data centers: Supplementing convective cooling with ionic wind-driven evaporative mechanisms for localized, energy-efficient heat management.   This technology combines ionic wind generation with passive evaporative cooling to deliver ultra-efficient, tunable sub-ambient cooling. Unlike conventional evaporative cooling, which is heavily constrained by ambient temperature and humidity, the electrostatic enhancer actively boosts the evaporation process in two ways: Ionic Wind Effect (Electrohydrodynamic Flow): High-voltage microelectrodes generate localized ionic wind, which accelerates air movement across the evaporating surface, significantly increasing the evaporation rate. Molecular-Level Cooling Enhancement: The applied electrostatic field alters the arrangement of water molecules in hydrogels, lowering the enthalpy of vaporization and allowing water molecules to escape more easily. This dual mechanism achieves substantial cooling power improvements at extremely low energy cost. For example, operating near the corona onset voltage (~5 kV) can yield up to 88% higher cooling power with only ~3% additional energy input, achieving a Coefficient of Performance (COP) more than 30–50 times higher than conventional evaporative coolers. Evaporative Cooling, Sub-ambient Food Storage, Portable Energy-Efficient Cooler Logistics, Transportation, Sustainability, Low Carbon Economy

Conventional stirred-tank bioreactors (STRs) often expose cells to high shear stress from impellers, which can damage sensitive cell types like mammalian or stem cells and reduce viability by up to 20–30%. Their complex internal structures with baffles, probes, and impellers also make cleaning and sterilization challenging, with cleaning-related downtime reported to account for as much as 30–40% of overall operation time. This technology offers a novel bladeless bioreactor that achieves homogeneous, gentle mixing without impellers, supported by a simple geometry that enhances cleanability. It enables the scalable and hygienic cultivation of sensitive cells, addressing critical bottlenecks in regenerative medicine and sustainable food production. This technology consists of a bladeless bioreactor (hardware) and a proprietary fluid simulator (software) used to optimize mixing conditions in advance. The innovative, blade-free system generates self-sustained vortices via the controlled rotation of a partially filled container, achieving homogeneous, low-shear mixing without internal mechanical parts. This unique design provides exceptionally low shear stress, protecting fragile cells, while the simple geometry ensures enhanced cleaning efficiency and reduced contamination risk.  Regenerative Medicine: Enables the scalable, GMP-compliant production of therapeutic cells like pluripotent and mesenchymal stem cells under low-shear conditions, preserving viability and functionality for clinical therapies, drug discovery, and toxicity testing. Cellular Agriculture: Supports the large-scale, sanitary cultivation of muscle and fat cells for cultivated meat, ensuring safety, consistency, and sensory quality while reducing environmental impact and ethical concerns. Low shear stress: Minimizes damage to sensitive cells compared to conventional turbine-blade methods.  High cleaning efficiency and contamination control: Simple internal structure reduces cleaning complexity and risk of contamination.  Excellent scalability: Maintains consistent gentle mixing performance from 1L to 150L, enabling reliable scale-up from lab to industrial production.  Bioreactor, Cell Culture, Low Shear Stress, Regenerative Medicine, Cultivated Meat, iPS Cells, Bladeless Mixer Life Sciences, Industrial Biotech Methods & Processes, Foods, Processes

Feedback Driven Manufacturing (FDM) is a methodology that integrates real-time data collection, analysis, and automated feedback loops directly into the manufacturing process.   Traditional factories often struggle with fragmented data, delayed quality checks, and reliance on human intervention, leading to inefficiencies, scrap, and rework. This technology addresses these pain points by continuously monitoring work-in-progress through sensors, RFID, and machine connectivity, and feeding insights back into operations at the point of production.  This innovation is particularly valuable for aerospace, oil & gas, medical devices, and other precision-driven sectors that require stringent tolerances and rapid response to deviations. Adopters of this technology are manufacturers seeking to transition toward Industry 4.0 and digital transformation without the cost and complexity of traditional MES/ERP systems. By embedding intelligence and visibility into the factory floor, FDM bridges the gap between raw data and actionable decision-making, creating a scalable, sustainable foundation for smart manufacturing. The system is modular and can be scaled by either adding shelves, sensors, or connectivity nodes, making it suitable for both SMEs and large enterprises. Key features include: RFID Smart Shelves: Real-time WIP, tool, raw material tracking.  Process Monitoring: Live quality deviation against control limits and with real time alerts for corrective action.  Monitoring of operational effiency: Collection of machine usage data, operator actions and material inventory.  Real Time Data: Inspection results will be presented on visual dashboards and alerted through mobile app based notifications.  This technology serves as a a lightweight alternative to conventional MES. Its adaptability allows manufacturers to adopt the system in stages, starting from shopfloor visibility and scaling toward full autonomous process feedback. It can be deployed across multiple industries where precision, traceability, and productivity are critical. This helps to reduce reliance on manpower for manual decision-making. It also reduces scrap and rework through early detection of deviations, saving material and labour costs, improving workforce efficiency and consistency.  Aerospace and Defense: Supports compliance with stringent quality standards by ensuring process stability and early detection of deviations. Oil & Gas and Energy Equipment Manufacturing: Minimizes downtime and rework caused by tool or material inconsistencies. Manufacturing of Medical Devices: Ensures tight tolerance control and reduces the risk of defective products reaching the market.  Other High-Mix, Low-Volume Environments: High-precision industries, electronics, automotive, and contract manufacturing. Global smart manufacturing and Industry 4.0 markets are projected to exceed USD 500 billion within the next decade, with growing emphasis on real-time monitoring, predictive quality, and data-driven decision-making. Current solutions often focus on either hardware tracking or software analytics, but few integrate both into a seamless feedback loop. This technology’s uniqueness lies in its ability to convert fragmented factory-floor data into real-time process intelligence without requiring complex ERP/MES integrations.  Opportunities exist in markets where governments are funding digital transformation, such as Southeast Asia, China, and Europe. Companies face increasing pressure to reduce waste, improve sustainability, and meet compliance requirements — making feedback-driven systems particularly attractive. By bridging the gap between IoT hardware and process-level optimization, this technology positions itself as a differentiated offering compared to conventional MES platforms and standalone IoT solutions.  Lightweight solution: Customers gain the ability to adjust production quickly in high-mix, low-volume scenarios without incurring significant setup costs. Unlike large MES or ERP systems, this solution is modular and cost-effective, enabling SMEs to adopt Industry 4.0 capabilities with lower upfront investment.  Quick deployment: Sensors and system can potentially be deployed within a day.  Customisable implementation: RFID tracking solution can be scaled up or down specific to use cases. Modules can be selected and plugged together specific to use cases and needs.  Process to quality linkage: System enhances compliance and traceability by creating a continuous digital record of production events. plug and play, modular, RFID, RFID tracking, RFID WIP Tracking, Quality improvement, optimisation Manufacturing, Assembly, Automation & Robotics, Infocomm, Data Processing, Logistics, Planning & Order Processing

The technology is an advanced Clinical Decision Support System (CDSS) designed to streamline and enhance the process of medication review, with a strong focus on safe deprescribing practices. Built on evidence-based guidelines and best clinical practices, the application provides healthcare professionals (doctors, pharmacists, and nurses) with reliable recommendations to optimize medication regimens, particularly for older adults who are at higher risk of polypharmacy and adverse drug events. This team-care deprescribing application can be seamlessly launched across various points of care: hospitals, clinics, nursing homes, or community health settings. This enables clinicians to work collaboratively in reducing medication burden while safeguarding patient safety. By integrating into existing workflows, it not only improves efficiency and decision-making but also supports higher standards of clinical care, leading to better health outcomes and quality of life for patients. App Features Highlights drugs that should be discontinued, supported by clear clinical explanations. Provides guideline-based recommendations on drugs requiring special monitoring. Identifies and alerts clinicians to potential harmful interactions across the patient’s medication list. Offers context-specific guidance, such as patient comorbidities, age-related risks, or monitoring needs. Optional Patient Management System module for managing individual patient profiles, history, and follow-up care. Optional Gen-AI Chatbot module for conversational assistant to support quick queries, medication guidance, and clinician education. System Capabilities: Cross-Platform Availability: Accessible as a secure web application and mobile apps on both Android and iOS, ensuring usability across care settings. Two-Factor Authentication (2FA): Provides robust data protection and compliance with healthcare security standards. API Integration: Enables seamless interoperability with existing EHRs, pharmacy systems, and clinical workflows. Advantages: Proven Accuracy and Efficiency: In pilot testing, the application doubled the accuracy to conventional manual lookup, while also significantly reducing decision-making time. Sustainable Healthcare Impact: By digitizing guidelines and optimizing workflows, the app reduces reliance on printed materials and manual processes, helping to lower carbon footprints in healthcare environments. Improved Clinical Care: Supports evidence-based, safer, and faster medication review, empowering healthcare teams to deliver higher-quality patient outcomes.   This technology has wide-ranging applications across multiple healthcare settings, particularly in addressing the challenges of polypharmacy and medication optimization for the growing ageing population. Potential use cases include: Healthcare Institutions, Hospitals & Clinics Seamlessly integrate the application with existing Electronic Health Records (EHR) or patient management systems via secure API connectivity. For organizations without a current platform, a fully compatible patient management add-on is available, enabling streamlined workflows and coordinated team-based care. Medical Information & Health IT Solution Provider Incorporate the deprescribing application into your existing digital health or clinical information platforms to strengthen your product portfolio and deliver added value to healthcare professionals. Extended Clinical Applications Beyond deprescribing, the application can be adapted to support other evidence-based clinical guidelines (e.g., chronic disease management, geriatric care pathways) and extended to long-term care facilities, community healthcare providers, and telemedicine platforms. This pioneering deprescribing application is one of the most comprehensive digital solutions designed to support healthcare professionals in reducing inappropriate medications for older patients. Available as a web app and on both Android and iOS platforms, it offers greater flexibility and accessibility compared to many existing tools. Built on the latest evidence-based clinical guidelines, the solution delivers accurate, guideline-driven recommendations that enable doctors, pharmacists, and nurses to make better-informed decisions. By streamlining medication reviews and supporting safe deprescribing, it empowers healthcare providers to reduce medication burden and enhance patient safety and outcomes. Health, Medical, Clinical, Informatics Healthcare, Telehealth, Medical Software & Imaging