TECH OFFERS

With the global trend of industrial automation, robotic arm technology is being developed and integrated to existing business workflow, increasing labour productivity and operational efficiency. However, current end effectors attached to robotic arm excels in automation tasks of handling homogeneous robust objects but fall short in handling irregular, fragile objects. Current robotic grippers (end effector) lack the finesse and limberness required, limiting their usage in particular areas such as agriculture, F&B, pharmaceutical and logistics. The technology solution developed is a smart soft robotic gripper as a modular end effector that addresses the challenge of handling objects with varying sizes, shapes, and weights, an issue unsolved by traditional robotic grippers. This innovative gripper tool mimics the flexibility and versatility of biological structures like tendrils, enabling an extra dimension of growth and twining capabilities. By wrapping itself securely around objects, the gripper manipulates items gently, minimizing the risk of crushing or damaging them. Its integrated sensors provide real-time contact feedback capabilities, enabling precise monitoring and adaptive control by the robotic system. The technology owner is seeking collaborative partners, such as system integrators or end-users, who are in need and keen to integrate a versatile, adaptive, and gentle handling solution that can operate efficiently in environments where object fragility or irregularity is a key concern. The smart soft robotic gripper module comprises of three key components: flexible fingers, actuation system and sensor integration. A novel concept is introduced for a flexible finger, utilizing a single tendon within a flexible body to perform three-dimensional bending and twisting motions. This design enhances the gripper’s adaptability, allowing it to handle objects with various shapes, sizes, and weights, with current payload exceeding 10kg. The integration of vision and haptic sensors further refines its capabilities to provide gentle and precise manipulation of delicate items. Additionally, the sensor integration supports potential applications in sensor fusion and IoT systems, expanding its utility across advanced automation environments like smart farms and smart factories. With its modular design, it enables customisation and scalability to integrate into existing robotic systems. Handling of Food (urban farming, food and beverages) The gripper solution can gently handle delicate crops like bunches of vegetables and irregularly shaped fruits, which can facilitate automated harvesting or processing with minimal damage. Its adaptability makes it potentially suitable for smart farms where precision and adaptability are essential. A pilot test for harvesting automation is currently being conducted in an urban farming application. Smart Factories (warehousing, manufacturing) The gripper solution is able to handle a variety of fragile and odd-shaped product, providing flexibility to environments of heterogenous items. The technology also enables safe handling of items, promoting industrial automation of delicate assemblies and improving assembly precision. Pharmaceuticals (medical device, procedures) The gripper tool can handle sensitive medical devices and products to minimise or prevent damaging during handling. The tool is able to provide additional assistance to medical personnel for more delicate medical procedures, reducing discomfort while increasing precision. The smart soft robotic gripper is bio-inspired and mimics natural organism, like octopus arms, to enhance navigation and interaction with their surroundings. This results in an extra dimension of flexibility and versatility to handle intrinsic nonlinearity of soft, delicate, heterogenous materials. The integrated sensors enable situational awareness capabilities, providing adaptability and enhancing precision. Lastly, the modular design provides customisability to specific use-cases, with the gripper being able to be scaled to suit the operational needs. Soft Gripper, Smart Gripper, End Effector, Soft Robotic Gripper Electronics, Actuators, Manufacturing, Assembly, Automation & Robotics, Foods, Processes

In a more globalized and interconnected world, logistical management becomes more complex with more demand for real-time tracking of products within the supply chain. With global events potentially disrupting any section of the supply chain, companies within are now required to efficiently provide visibility of the orders while building up resiliency to ensure smooth operation of their services. The technology solution addresses the complexities of modern supply chains by providing a unified solution that integrates multiple products & tools for efficiently managing the logistics and warehouse. The platform uses AI and IoT to deliver real-time visibility, predictive analytics, and automated workflows. This innovation aims to improve efficiency, reduce costs, and enhance sustainability for enterprises within the logistics and warehouse sectors. The technology owner is looking for collaboration partners, who wish to leverage on their data and AI solutions to automate logistical workflow operations and enable data-driven decisions for supply chain optimisation. The solution suite encompasses a suite of modules including a warehouse management system (WMS), labor management system (LMS), transportation management system (TMS), and shipping solutions. The key features of this technology include AI-driven predictive analytics, real-time tracking, automated inventory management, and comprehensive API integrations with e-commerce platforms and carriers. The platform’s comprehensive and scalable solution accommodates to the growth plan of any business while providing smooth operation, improved operational efficiency and cost savings. The digital platform is a versatile solution improving supply chain processes across various industries such as Warehouse Automation: Enables streamline inventory tracking, order picking and shipment processing Inventory Management: Optimise inventory stock and prevents stockouts or overstock situations Logistics Management: Leverages on AI to optimise transportation route planning, shipment tracking and carrier management Supply Chain Processes: Provides real-time visibility and analytics while integrating seamlessly with existing system Retail Management: Enables management of omnichannel inventory, automating order fulfilment and ensuring timely deliveries The global logistics automation market is projected to reach USD 100 billion by 2025. The end-to-end platform solution provides workflow automation from the first mile to the last mile for any logistics operation needs. Its modular design offers customization while ensuring scalability, catering to the unique needs of both small businesses and large enterprises. This AI-powered solution provides AI-driven insights via forward technology integrations and seamless 3rd party system integration, enabling a high level of connectivity and accessibility. Logistics Automation, Warehouse Management, Supply Chain Visibility, Predictive Analytics, API Integration, Shipping, Freight Forwarding, Artificial Intelligence Logistics, Planning & Order Processing, Inventory Management, Delivery & Distribution, Value-Added Services

Cancer is one of the most deadly diseases worldwide, requiring pathological testing to confirm the diagnosis. With recent advancements in digital pathology, there is a growing demand for AI-based digital pathology diagnostic products to manage and shorten diagnosis time for accurate and targeted treatments. Thyroid cancer is a relatively common type of cancer. The malignancy of thyroid nodules is determined through the pathological examination of cells obtained via Fine Needle Aspiration (FNA) or Core Needle Biopsy (CNB). However, due to the complexities of thyroid nodule pathology, over 30% of patients' biopsy samples are classified as indeterminate, meaning they cannot be definitively diagnosed as benign or malignant. Additional testing, such as Next-Generation Sequencing (NGS) molecular tests are required to provide further clarification. However, the high cost of testing limits patient accessibility. This technology is an AI-powered solution that analyze pathology images obtained through Core Needle Biopsy (CNB), providing diagnostic results for benign or malignant nodules. It offers interpretation and visualization of AI analysis results. This allows for accurate diagnosis of not only the benign(C2) and malignant(C6) cases traditionally identified by pathologists but also indeterminate(C3,C4,C5) cases that were previously challenging to diagnose. This approach ultimately reduces unnecessary surgeries, thereby improving the quality of life for patients. It offers a cost-effective alternative to expensive and less accessible NGS testing, delivering similar diagnostic accuracy without the need for additional tests. The technology owner is seeking partnerships with medical institutions specializing in oncology, including major hospitals and clinical laboratories, pharmceutical and biotechnology companies.  AI-based Pathology Image Analysis Solution: This technology leverages AI to analyze CNB thyroid nodule tissue images stained with H&E. This process involves a highly complex series of steps distinct from typical natural image analysis. These steps include tissue detection within the image, patching of tissue images, feature extraction from these patches, and the classification of malignant and benign nodules. This AI solution provides an optimized technology pipeline for such analysis and incorporates state-of-the-art pathology image analysis AI system. This system is capable of diagnosing areas that human pathologists may not be able to detect visually, offering revolutionary diagnostic capabilities. AI Interpretation and Visualization: The solution provides a quantified score indicating the malignancy level of the thyroid nodule. It also highlights key areas within the tissue slide where the tumor is located using a localized heatmap, identifying major regions that affect malignancy. Optimal User Convenience: This solution offers a web-based service to ensure accessibility and user convenience, allowing medical professionals to access diagnostic tools and results from any location with internet connectivity. It supports hybrid deployment in both on-premise and cloud environments, providing flexibility to optimize user settings and service provision based on institutional needs. Additionally, this solution includes a custom-developed pathology image viewer and management system that supports various formats, enabling users to explore, manage, and review image information efficiently. Clinical Unmet Need: This technology addresses significant clinical unmet needs by providing accurate and timely diagnosis of thyroid nodules, reducing the number of indeterminate cases and minimizing the need for unnecessary surgeries. This improves patient outcomes and reduce healthcare costs. Personalized Cancer Treatment: This solution can be instrumental in the development of personalized cancer treatment plans. By accurately diagnosing the malignancy of thyroid nodules, healthcare providers can tailor treatment plans to the individual patient's condition, optimizing therapeutic efficacy and minimizing side effects. Cancer Metastasis Risk Prediction: By analyzing biopsy images and identifying malignant characteristics, this technology can help predict the risk of cancer metastasis. This early detection capability enables proactive management and monitoring of patients at high risk of cancer spread. Telepathology and Remote Diagnostics: The web-based and cloud-supported nature of the solution makes it ideal for telepathology applications. Pathologists can remotely analyze biopsy images and provide consultations, expanding access to expert diagnostics in underserved areas. Integrated Diagnostic Platforms: The solution can be integrated into comprehensive diagnostic platforms that combine imaging, molecular testing, and AI analysis. These platforms can offer a holistic view of a patient's condition enabling more accurate and comprehensive diagnosis. The technology targets a rapidly growing medical device market, particularly within the AI segment. The Singapore medical device market, recognized as a healthcare hub in the APAC region with world-class medical standards and infrastructure, is projected to reach $1.2 billion by 2028, with a compound annual growth rate (CAGR) of 6.3%. Additionally, the AI medical device segment is expected to achieve a remarkable CAGR of 45.8% by 2030, indicating the increasing integration and utilization of AI technology in the healthcare sector. Cost-Effectiveness: The significant cost savings compared to traditional molecular diagnostic test make this technology financially advantageous for both patients and healthcare providers. Integration and Usability: The ease of integration into existing systems and the support for remote diagnostics address practical implementation challenges, making the solution highly usable and scalable. Comprehensive Coverage: The ability to diagnose indeterminate cases and support remote diagnostics extends the reach and impact of the solution, offering substantial improvements over current methods. Digital Pathology, Thyroid Nodule Diagnosis, Thyroid Cancer, Clinical Decision Support System (CDSS), AI-Powered Infocomm, Artificial Intelligence, Healthcare, Diagnostics, Medical Devices, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

Maintaining clean air on ships is crucial for the health and well-being of passengers and crew, as well as for the proper functioning of sensitive equipment. Due to the structural specificity of ships and higher reliance on mechanical air conditioning than natural ventilation, addressing indoor air quality issues is particularly important. Advanced air purification solutions would be able to effectively address a range of airborne contaminants, including particulate matter, volatile organic compounds (VOCs), and biological pollutants, ensuring a safer and more pleasant environment on board. A Korean startup has developed an air sterilisation and purification system tailored specifically to the challenges of maritime environments that excels in delivering clean, safe, and compliant air quality solutions. They enhance health and safety, optimise operational efficiency, and contribute to a better overall experience for passengers and crew, while also meeting regulatory requirements and supporting environmental sustainability. The company is seeking collaborators from the maritime and built environment sectors, as well as HVAC and IoT companies, to expand their applications and explore integration of their technologies into existing HVAC systems. The technology consists of the following key features: A seamless three-step purification and sterilisation process using UV-C lamp, carbon filter, and HEPA filter Engineered housing design that increases air’s retention time, providing a wider and denser air distribution compared to a stand-type air purifier Utilises UV-C rays at a wavelength of 254 nm, ideal for disrupting the DNA and RNA of bacteria, without generating ozone Strong sterilisation capability through uniform dispersion of UV-C rays and a direct contact sterilisation method to maximise the effectiveness, achieving up to 99.8% removal of airborne viruses and bacteria Double filters remove up to 96.3% of major hazardous substance, including ammonia, acetic acid, acetaldehyde, toluene and formaldehyde  Can be retrofitted to existing diffusers The solutions have been successfully implemented on various types of ships and can also be applied to buildings, healthcare facilities or public areas on land where large gatherings occur. Potential applications include, but not limited to, the following: At sea: Ships (Existing / New) On land:  Healthcare facilities Educational facilities Commercial real estate Residential real estate Tailored for effective operations under the unique conditions found at sea Engineered housing design for enhanced air distribution and extended exposure time, allowing more thorough sterilisation of airborne particles  Enhanced health and safety contributing to the well-being and safety of passengers and crew Optimised operational efficiency leading to cost savings and improved reliability of critical ship systems Enhanced passenger experience by providing a more comfortable and pleasant on board environment Environment, Clean Air & Water, Sanitisation, Mechanical Systems, Sustainability, Sustainable Living

A smart manufacturing and supply chain platform has been developed, enabling seafood processors to automate and digitize their production, quality control, costing, traceability, cold chain, and inventory workflows using tablet computers, sensors, and IoT devices in real-time on the factory floor. This software is a “low-code” web app that can be easily configured for both simple and complex workflows, suitable for small or large production facilities, and adaptable to the wide variety of seafood processes, including live shellfish, fresh and frozen fish, smokehouses, and industrial-scale canneries. The workflow platform includes advanced modules for IoT hardware integration, artificial intelligence, advanced analytics and reporting, a wireless cold-chain sensor, a consumer tracing app, and computer vision for automated inspection. Generative AI is also integrated into the platform, allowing users to “talk to their data” and upload documents to train the large language model. The platform provides value to customers in three core areas: First, the software and AI reduce labor costs by making data collection, management, and reporting more efficient. Second, the software enables real-time process and inventory control, replacing outdated analog paper record-keeping. Third, the software reduces data errors and strengthens traceability, improving compliance with third-party certifications and food safety regulations. Additionally, it includes AI algorithms for yield prediction, anomaly detection, demand forecasting, and drain weight prediction in the fish canning sector. The software includes a core low-code workflow platform that can be configured for many different types of workflows and processes. The platform can be hosted on the cloud or on premise and includes features such as image and document uploading, inventory and logistics management, cost accounting, email and SMS notifications, data validations and real-time calculations, software integrations, and more. The core platform also includes several operational modules, such as: An advanced analytics module for data visualization and reporting. A generative AI module for exploring data and documents uploaded to the platform, enabling users to “talk to their data”. An interoperability module built on the standards of the Global Dialogue for Seafood Traceability and EPCIS supply chain protocols. An IoT connectivity module for label printers, weigh scales, scanners, and other devices A cold chain module with a remote, wireless temperature sensor communicating via LoRaWAN. A smart camera module programmed with computer vision models for automated visual inspection. An AI-enabled digital helper module programmed with machine learning algorithms for yield prediction, anomaly detection, demand forecasting, drain weight prediction (in tuna canneries), and more. A consumer tracing app that enables seafood businesses to share supply chain and food provenance information with consumers who can trace a QR code. The technology ideal collaborators are seafood manufacturers and supply chain operators. The software and AI platform and optional modules have the following potential digitization applications: Fishing vessel unloading Seafood Production and Quality Control Inventory and Warehousing Sales Orders, Fulfilment and Shipping Laboratory sampling and testing Compliance, ESG and Traceability Reporting Cold chain monitoring Cost accounting (manufacturing) Asset management The technology owner is seeking collaboration with seafood industry stakeholders, including manufacturers, suppliers, and distributors in Singapore and Southeast Asia, who are interested in improving efficiency, traceability, and compliance within the supply chain. Seafood is the most globally traded protein with a trade value of some $194 billion dollars, representing almost half of all seafood production in the world. Approximately 75% of seafood processors and supply chain operators manage their core operations with paper records and Microsoft Excel, lacking real-time business insights and struggling with process and inventory control. The technology offers the following: The platform offers easy and flexible configuration through low-code schemas, providing a user-friendly alternative to the extensive customization required by legacy software solutions. A complete all-in-one solution that includes core workflow digitization and inventory management, advanced analytics, computer vision for automated inspection, process automation, predictive analytics, generative AI, hardware integration, cold-chain monitoring, and consumer marketing and supply chain transparency. Expertise in seafood processing and supply chains is leveraged to enhance data collection and optimization, specifically addressing the needs of seafood companies. Applies artificial intelligence to seafood processing, utilizing advanced machine learning, computer vision, and generative AI technologies. Seafood, Fisheries, Supply Chain, Smart Manufacturing, Software, AI, ML, Computer Vision, Generative AI, Traceability Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence, Internet of Things, Foods, Processes, Sustainability, Food Security

Plastic recycling plays a crucial role in achieving a sustainable future. Proper sorting of waste plastics is essential, especially in mixed waste streams where various materials are combined. Some types of plastic are not recyclable, and even recyclable ones can be difficult to separate efficiently. Sorting mixed waste streams into different recyclable categories can be time-consuming and labour-intensive, especially for materials with similar appearances, such as different types of plastic. To address these challenges, this technology aims to automate and accurately sort plastic waste, reducing the reliance on manual processing and improving overall plastic recycling efficiency. The technology on offer is a patented artificial intelligence (AI) based material sorting robot that sorts plastic waste accurately. Comprising of a camera, recognition unit and analysis unit, each unit of this system can continuously identify and sort waste plastics and generate information in real time. Blower vacuum adsorption devices are placed within each unit to pick waste in a speedy and accurate manner. This technology effectively reduces the issue of labour shortage in the waste sector, lowers operating costs and contamination rates that hinders recycling efforts. Currently, the technology has been deployed successfully in South Korea to sort polyethylene terephthalate (PET), polyethylene (PE) and polypropylene (PP). The technology owner is interested to work with Singapore waste collection companies on joint development projects to testbed this technology and improve plastic recycling rates. This technology comprises of the following hardware and software components: Camera unit – for real time monitoring Recognition unit – for real time item detection and data collection Analysis unit – for analysis of the type, colour, contamination level, and presence or absence of lids and labels Conversion unit – for item selection and sorting AI-enabled dashboard Key features of this AI-enabled material robot include: Sort rate of 96 pieces per minute 99.3% accuracy 7 types of waste This technology has been validated for plastic waste sorting (PET, PE and PP) and can be expanded into sorting of other types of wastes such as paper, plastic vinyl films, aluminium, iron and textiles. Other potential applications include construction and marine waste. High recognition and sorting accuracy Improves waste sorting efficiency by 240% in terms of speed and 126% in terms of operation time Cost-effective solution for resource efficiency (279% reduction in sorting costs) artificial intelligence, AI, robot, waste, plastic recycling, sorting, smart city, waste management, automation, environment, recycling, resource recycling, circular economy, sustainability Infocomm, Artificial Intelligence, Waste Management & Recycling, Industrial Waste Management, Automation & Productivity Enhancement Systems, Sustainability, Circular Economy

The development of next-generation greenhouses in agriculture is driving a growing demand for innovative systems that can address both energy and food challenges simultaneously. Currently, agriculture heavily relies on fossil fuels, particularly heavy oil, as its primary energy source, new technologies must be explored to significantly reduce greenhouse gas emissions, such as carbon dioxide. Ensuring a stable food supply is crucial for increasing self-sufficiency rates, but the installation of traditional silicon solar cells has presented challenges due to shading effects, leading to reduced crop yields. Consequently, the absence of suitable solar cell technology for greenhouses poses critical problems for both power generation and food supply. Under this situation, green-light wavelength-selective organic solar cells (OSCs) have been developed. In this system, transmitted blue and red light can be effectively used to promote plant growth, while absorbed green light can be effectively utilized as a source of electricity for greenhouses. In addition, near-infrared wavelength-selective OSCs have been developed, which can use the near-infrared light to generate electricity while lowering the temperature inside the greenhouses. This wavelength-selective OSCs can be installed on the entire roof of greenhouses due to the advantages of light weight, flexible, and large area. This technology enables efficient utilization of solar energy for both power generation and agriculture. The active layer of OSCs consists of an intermixed bulk heterojunction structure of a donor and an acceptor. In the green-light wavelength-selective OSCs, the absorption range of both donors and acceptors is specially tuned to be in the green light region at approximately 500–600 nm. For the near-infrared wavelength-selective OSCs, organic semiconductors with the extended pi-conjugation system are used for the absorption in the range of 800-1200 nm. These absorption ranges are complementary to those of chlorophylls a and b, which are essential plant pigments involved in photosynthesis. The technology owner is seeking collaboration partners from chemical companies, OSC manufacturers, greenhouse manufacturers, and agricultural manufacturers. This technology can be developed by the joint implementation of chemical companies, OSC manufactures, greenhouse manufactures, and agricultural manufactures. Due to the advantage of transmitted feature, this technology can be also installed on the windows in buildings. Based on the Report Ocean Co. Ltd, the global market for agricultural greenhouses is projected to reach US $34925 billion in 2030. This OSC technology is designed specifically for agrivoltaics in agriculture. It is different from existing agrivoltaic systems and  uses green-light wavelength selectivity to maximize crop yields while generating electricity. It has higher transmittance properties compared to traditional silicon solar cells. The near-infrared wavelength selectivity can absorb the near-infrared light and lower the temperature inside the greenhouses, which can improve working conditions for farmers. Unlike traditional silicon solar cells, this lightweight, and cost-effective OSCs are ideal for greenhouse applications, reducing the need for frequent roof replacement. The single layer material is flexible and can be fabricated up to 50 meter-scale modules This technology includes the green light wavelength selective factor (SG) and the power conversion efficiency, to quantitatively evaluate the performance of OSCs for agrivoltaics. Agrivoltaics, Organic solar cells, Greenhouse, Wavelength selectivity Materials, Composites, Energy, Solar, Green Building, Façade & Envelope, Chemicals, Organic, Sustainability, Low Carbon Economy

With the increasing complexity and scale of projects, the need for efficient collaboration and information management has become more apparent, especially in large-scale initiatives. In response, many countries have mandated the use of Building Information Modelling (BIM) to enforce stringent construction project management and document control standards. As a result, BIM has been widely adopted across the industry, demonstrating its significant benefits. To better integrate work processes and connect stakeholders throughout the construction and building lifecycle, a Common Data Environment (CDE) is essential. The CDE provides a single source of truth with ISO 19650 full compliance approach to creating, organizing, and communicating information for project collaboration and lifecycle management of facilities. As a key component of digital transformation, the CDE integrates seamlessly with BIM workflows. It is regarded as one of the pillars of construction digitalization, enhancing BIM's effectiveness by serving as a central repository for collaboration throughout the entire project lifecycle. The technology provider seeks collaboration with construction firms, architects, BIM specialists, IT consultants, and facility managers. One of the major deliverables of CDE is the information models, e.g., Project Information Model (PIM) and Asset Information Model (AIM), which contains federated information deliverables produced through the CDE workflow to address the needs of all interested parties. Essentially, CDE is composed of major components: Electronic Document Management System (EDMS): This component ensures secure storage, retrieval, and version control of documents, enabling easy access to project information for all stakeholders. Workflow management: It automates and streamlines project processes, ensuring that tasks are executed in a structured and timely manner, improving efficiency and collaboration across the team. 2D and 3D coordination: This component facilitates the integration and visualization of 2D drawings and 3D models, enhancing design coordination, clash detection, and overall project accuracy. Dashboard, Gantt Charts, Kanban: Visual tools for tracking progress, timelines, and tasks. Dashboards offer real-time data, Gantt charts manage schedules, and Kanban streamlines task flow. Project Management: Facilitates project planning, execution, and monitoring, ensuring efficient resource allocation and goal achievement. Task Management: Organizes, prioritizes, and tracks tasks, ensuring timely completion of project activities. Document Management: Manages creation, storage, and sharing of documents, ensuring access to the latest versions for all stakeholders. 2D/3D BIM Viewer: Enables visualization and interaction with 2D/3D models for better design understanding and decision-making. BIM-GIS-IoT: Integrates BIM with GIS and IoT for enhanced spatial analysis, real-time monitoring, smart building and smart city management. Cloud Options: Provides scalable, accessible platforms for data storage and sharing, facilitating team collaboration. System Integration: Ensures seamless operation and data exchange between different project software and systems. 4D-7D BIM Applications: Extends BIM beyond 3D, adding time (4D), cost (5D), sustainability (6D), and facility management (7D). A.I. BIM Analysis: Uses A.I. to optimize designs, predict outcomes, and identify issues, improving efficiency and reducing risks. The market potential for Common Data Environments (CDE) with ISO 19650 full compliance is strong, driven by the global construction industry's growth, especially in emerging markets. As digital transformation accelerates, there is increasing demand for technologies that enhance project management and construction processes. Rising project complexity and scale necessitate effective collaboration and information management, particularly for large, multidisciplinary projects across borders. Advances in cloud computing and mobile access enable remote work and real-time collaboration, with CDEs integrating smoothly into existing project management systems. Key stakeholders—architects, engineers, contractors, owners, and regulators—benefit from CDE by boosting efficiency, cutting costs, speeding up decision-making, and reducing risks. As sustainability and green building gain focus, CDEs support these goals and, with advanced data analytics, help project teams better predict and manage performance, further increasing their value. Enhance connection between the physical and digital world for sustainable built assets: Reduce Time in Digitalization: Accelerates digital transformation, enabling faster implementation and adoption of digital tools in construction projects. Improve Data Quality: Ensures accurate, consistent, and reliable data throughout the project lifecycle, reducing errors and enhancing decision-making. Enhanced Health & Safety: Promotes safer work environments through real-time data access and better safety management processes. Boost Productivity: Increases efficiency by streamlining workflows and improving collaboration across project teams. Lower Operation Cost: Reduces operational expenses by optimizing resource usage and minimizing waste. Achieve Carbon Neutrality Goals: Supports sustainability initiatives by optimizing processes to reduce carbon emissions and energy consumption.   CDE, BIM, CIM, ESG, Construction Project Management, Informatization, Digitization, Digital Twin Infocomm, Smart Cities

As the customized cosmetics market continues to grow, the demand for cosmetics suitable to an individual's skin condition is increasing. Effective skin diagnosis and management to meet customer needs require total skincare solution products and services that enable continuous and quantitative skin care and management through accurate diagnosis. Currently, customized cosmetics in the market are less accurate in diagnosis and are limited to a small range of formulation permutations. This technology provides a total solution to hyper-personalization of skin care formulations tailored to 40 different skin MBTI conditions from measurement, diagnosis, manufacture, to supply. Based on 98.3% accuracy through a patented skin diagnosis device, a global skin database has been developed which is capable of generating a formulation within 4 minutes. To ensure a complete pipeline solution, the technology extends into manufacturing by having a fully automated patented sterile cosmetic manufacturing equipment and system. The daily production capacity can be supplied in varying quantity of volumes. Through its database and diagnostic technology, it is able to partner ingredient suppliers to formulate sustainable products. The company has also expanded the solution to non-beauty applications including hair care, fragrances and functional foods. The company is looking to partner with B2B customers who is looking to leverage on the various solution packages offered including diagnosis devices, manufacturing automation equipment systems, raw materials and subscription options to begin their journey for a hyper-personalization beauty brand or to further enhance their existing personalization capabilities to establish a stronger brand presence, product differentiation and offerings. The total solution consists of: Fresh Manufacturing: The manufacturing machine maintains a constant temperature and humidity and dispenses fixed amounts. Manufacturing quantity can be suited to volumes ranging from 15 ml to 250 ml with 3 different capacity machine types and size with the smallest one being compact and can be installed in beauty shops and clinics. Fully automated compounding and dispensing by using robotics. Smart Diagnosis: The diagnostic device enables accurate analysis based on big data and algorithms, regardless of gender, age, or race. Up to 25,000 computations possible for skin care products and over 5 ethnic diversities. Personalized Cosmetics: Customized cosmetics are formulated through analysis after diagnosis, tailored to the skin change cycle. The customized cosmetic solutions are exported to the United States and Hong Kong. The company is currently expanding beyond Personalized Beauty Tech to Comprehensive Personalization Tech. In 2023, a customized solution for a liquid e-cigarette company has been developed, and there are plans to develop hyper-personalized solutions in various fields, including perfumes and health supplements. The hyper-personalized beauty market is projected to grow to 125 billion USD, including cosmetics and devices, over the next 5 years, with cosmetics alone reaching 78 billion USD in this hyper-scale market. The technology offer an integrated total solution that connects diagnosis to formulation. The technology components can be categorized into 6 different aspects: A camera diagnostic portable device with 60X Magnification with 98.3% of accuracy assessing redness, sensitivity, moisture, wrinkles, pores and pigmentation. A high accuracy achieved through big data and algorithm (over 140,000 data sets). Simplification of manufacturing system yet equipped with sterilization, disinfection, constant temperature and humidity control facilities, ensuring safety and stability. Starting from skin diagnosis results, the formulation is automatically generated and sent to the manufacturing machine, a fully automated formulation machine. Fresh Manufacturing upon order under hygienic /safe manufacturing system. While other machines are limited to serums, this machine offers a wide range of product formulations, including facial essences, skin toners, lotions, ampoules, as well as shampoos and treatments for the scalp, providing product diversity. 3-types of manufacturing system enables grafting of various business model. One-stop customized subscription service of total cosmetics solution. Hyper-personalised cosmetic solution Personal Care, Cosmetics & Hair, Wellness & Spa, Fragrances, Nutrition & Health Supplements