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Anti-fouling coatings have garnered significant attention due to the increasing demand for durable, low-maintenance, and aesthetically pleasing surfaces in both residential and commercial spaces. These coatings help maintain cleanliness and appearance, reduce cleaning frequency and effort, and offer substantial cost savings in maintenance. However, balancing the performance and cost of anti-fouling coatings, particularly in achieving both oil repellence and dust resistance, remains a challenge. There is also a growing emphasis on developing stain-repellent coatings that provide long-lasting protection against abrasion. The technology offers a special fluororesin-based functional coating with excellent water and oil repellence and dust resistance. This thin, transparent and durable coating can be applied to metals, plastics, ceramics and various other surfaces. It effectively reduces the accumulation of oil and stain build-up on the surface, prolonging the life span of home appliances and reducing maintenance frequency. With these superior properties, such coatings have great potential for applications across electronics, household appliances, and automotive applications, enhancing product performance and durability while improving user convenience and hygiene.  The technology owner is seeking joint R&D collaboration and partnership with companies interested in integrating this coating into their products and applications. The coating formulation is a unique organic-inorganic composite resin that incorporates particle dispersion technology. It is synthesized by copolymerizing acrylic resin with polysiloxane and fluorine units, resulting in a resin with high water and oil repellency and low surface resistance. Key features of the anti-fouling coating include: Balanced performance: effectively repels water, oil stains, and dust Ultra-thin and transparent: preserve the appearance of materials with a 2-5 µm clear coating layer Long-lasting: improved scratch resistance due to the highly durable resin layer Customisable: tailor the coating by adding anti-static, antibacterial and antiviral properties Cost-effective: more affordable than existing PTFE and high fluorine content coatings Versatile application: suitable for a wide range of materials and surfaces Easy application: a simple 3-step process involving surface cleaning, spray coating and low temperature baking (100 °C). Energy saving and environmentally friendly The potential applications of anti-fouling coating include but are not limited to: Households: interior walls, ceilings, kitchen countertops, toilet seats, furniture, etc. Electrical appliances: lighting, ventilation fans, refrigerators, ovens, etc. Electronics: mobile phones, displays, touch panels, printed circuit boards (PCBs), etc. Automotive: windows, dashboards, wheels, fabric seats, etc. Industrial sectors: machinery, equipment, packaging materials, etc. Textiles and fashion: silks, fabrics, wallpapers, etc. Optimal performance: balanced oil repellence and dust resistance Enhanced durability: ensures long-lasting effect Cost-effective: low material cost and simple process (low temperature baking) Anti-fouling, coating, surface durability, water-repellent, oil-repellent, Dust resistence Materials, Composites, Chemicals, Coatings & Paints, Sustainability, Circular Economy

With the spread of smart home appliances, the demand for diverse audio notifications is rising. Traditional dynamic speakers and buzzers in consumer electronics, often built with rigid or bulky frames, are difficult to mount on curved or irregular surfaces and fit into compact spaces, thus reducing design flexibility. These components are also vulnerable to environmental damage such as dust, moisture, and shock, requiring additional protective measures that increase costs. Acoustically, buzzers can only emit single-frequency sounds, while dynamic speakers suffer from sound congestion and rapid frequency attenuation when embedded within devices. Despite offering better sound quality, dynamic speakers are more expensive than buzzers. To address these challenges, the technology owner has developed an ultra-thin, flexible, and cost-effective sheet type speaker that combines the advantages of both dynamic speakers and buzzers. This speaker produces high-quality sound across a broad range of frequencies. Its thin and flexible profile allows for seamless integration into various devices, significantly expanding design possibilities and fostering creative implementations. Additionally, its robust environmental resistance improves durability and reliability for long-term use in smart home appliances. This cost-effective solution also enables manufacturers to incorporate superior audio features without a significant price increase, paving the way for integrating sound as a key value-add in consumer electronics to enhance the user experience (UX). The technology owner is seeking R&D collaboration with industrial partners interested in incorporating this sheet type speaker into their products and applications. Cost Effective: Optimisation of original technology reduces costs Constructed from inexpensive materials such as thin metals, resins, and ceramics Design Flexibility: Ultra-thin and flexible profile: 0.2 mm thick and 20 x 20 mm - 30 x 30 mm square Versatile mounting: it can be mounted on various surfaces, including curved surfaces and narrow bands High Sound Quality: Broad audible range from 500 Hz onwards and wideband sound reproduction Sound pressure level (SPL): 80 – 90 dB at 2 kHz / 0.1 m Good Environmental Resistance: Special protective film: protects against dust, moisture, shock, etc. Water resistance: meets the IP68 waterproofing rating Heat and cold resistance: functions in temperatures ranging from -20 to 85 °C Potential applications include, but are not limited to: Home appliances: vibration detection in washing machines and coffee makers, voice notification in refrigerators and ovens, etc. On-vehicle applications: announcements in public transportation, navigation guidance and battery warnings for e-scooters and e-bikes, etc. Amusement applications: interactive displays for gaming, information signage in museums or galleries, etc. Wearable devices: medical alerts in health-monitoring wristbands, emergency alerts in safety gear, etc. Cost-effective with superior sound quality Ultra-thin design and structural flexibility Good environmental resistance Versatility in design and implementation for various applications speakers, Smart home appliances, voice notifications, Ultra-thin, Flexible, Sheet Type Infocomm, Speech/Audio Processing, Electronics, Interconnects

With rising concerns about carbon emissions, Carbon Capture, Utilization and Storage (CCUS) plays a crucial role in combating climate change. CCUS helps reduce emissions by capturing carbon from flue gas, removing carbon from the atmosphere, and transforming captured carbon into value-added products. However, conventional CCUS technologies often involved high energy consumption and operational expenses. Current carbon mineralization processes face challenges such as slow reaction rates, limited scalability, and high associated costs. To address these challenges, the technology owner has developed an economically viable carbon mineralization technology that integrates carbon fixation and the reuse of industrial solid wastes in an integrated manner. This technology targets both carbon utilization and long-term carbon storage. It focuses on using alkaline industrial solid wastes, such as steel slag, fly ash, and cement waste, which are rich in calcium and magnesium oxides, to efficiently sequester CO2. The process involves leaching calcium and magnesium ions from slag and precipitating them as carbonates for various applications. This modular technology is scalable and adaptable to different waste materials, promising substantial carbon reduction and transforming industrial waste into valuable resources. Implementing this technology allows steel, cement and chemical companies to tackle high carbon emissions and waste disposal issues simultaneously. The final product, with carbon-negative properties, helps downstream clients reduce the carbon footprint of their products, such as plastic, paper, rubber tires, paint and cement.  The technology owner is seeking collaboration with industrial partners, especially industrial waste producers, high carbon emission plants, cement companies using post-carbonation slag, and manufacturers of paper, plastic, and rubber. The technology consists of a carbon mineralization plant with 4-steps facilities: Reaction Facilities: extract calcium ions from industrial solid wastes using CO2 based acid Solid-Liquid Separation Facilities: separate liquid enriched with calcium ions and the post-carbonation slag Precipitation Facilities: produce calcium carbonate Drying Facilities: dry the final product to meet client’s requirement Key features of this technology include: Flexible CO2 Sources: can use ambient air, flue gas from various plants, or any gas mixtures containing CO2 Lower Energy Consumption: utilizes industrial waste, reducing energy-intensive raw material processing Cost-Effective: reagent recycling minimizes material costs, making the process economically viable Scalability: modular and adaptable design allows for easy scaling and application across various industries Environmental Impact: converts waste into valuable products, addressing CO2 emissions and industrial waste Industries for Deployment: Steel plants Cement plants Coal power plants Other industrial sites producing CO2 emissions and solid wastes Marketable Products: High-purity calcium carbonates for various industrial applications such as plastic, paper, paint, rubber tyre, etc. Post-carbonation slag with low iron content can be used as supplementary cementitious materials (SCM) for clinker Post-carbonation slag with high iron content can be recycled to the sinter plant as sinter ore Dual Benefit: combines carbon capture and waste management Economic Viability: generates revenue from products, offsetting costs Flexibility: adaptable to various industries and CO2 sources Sustainability: support a circular economy by turning waste into resources Carbon Capture, Utilization and Storage (CCUS), Carbon Mineralization Technology, Industrial waste Waste Management & Recycling, Industrial Waste Management, Sustainability, Low Carbon Economy

Controlling both outdoor and indoor air pollution is crucial for protecting human health and the environment. Outdoor air pollution from industrial emissions and vehicle exhaust contributes to respiratory and cardiovascular diseases, global warming, and environmental degradation. Indoor air pollution can also cause chronic respiratory conditions and other health issues. According to the World Health Organization (WHO), outdoor air pollution causes approximately 4.2 million premature deaths annually, while indoor air pollution accounts for around 3.8 million premature deaths each year. Traditionally, wet scrubbers are used to reduce air pollution, ensuring regulatory compliance and protecting human health. However, they have drawbacks such as scaling, fouling, inefficient pollutant removal, and generating solid waste. These issues lead to frequent maintenance, high operational costs, and environmental pollution. This technology addresses these pain points by utilizing an array of water jets without the need for packing materials. This innovative solution offers more efficient pollutant removal, reduced maintenance, a compact design, and lower energy consumption, effectively solving the problems associated with traditional wet scrubbers. The technology owner is seeking collaborations with companies in the chemical/ pharmaceutical/ steel manufacturing sector for test-bedding and research and development (R&D) projects that require an eco-friendly scrubber. The advanced scrubber technology features 3000 high-efficiency water jets that maximize contact area and ensure even water distribution, eliminating the need for traditional packing materials. This design addresses issues like scaling, fouling, and corrosion, resulting in lower maintenance and operational costs. The system is compact, enhancing space utilization within facilities. It operates with a compressed spray, effectively capturing pollutants through vertical collision and inertial force. Test results demonstrate a significant reduction in pollutants such as ammonia, formaldehyde, and acetic acid. Additionally, the technology is energy-efficient, reducing power consumption compared to traditional scrubbers, and supports sustainability goals by minimizing solid waste generation.  This technology has the potential to be applied on these areas, harnessing on its ability to remove pollutants effectively using water as a filter: Chemical Manufacturing: Handles a wide range of chemical emissions effectively, ensuring compliance with environmental regulations Steel and Metal Processing: Captures fine particulate matter and metallic dust, improving air quality Food and Beverage Processing: Improves air quality in processing plants, enhances worker safety, and reduces environmental impact Pharmaceutical Manufacturing: Ensures high removal efficiency for specific pollutants such as ammonia and formaldehyde High-Efficiency Water Jets: For maximizing gas-liquid contact, ensuring even water distribution, eliminating issues with uneven waterjet output when compared to traditional systems No Packing Materials: Does not require packing materials, addressing problems like scaling, fouling and corrosion of traditional scrubbers Statistically Proven: 100% reduction in pollutants such as ammonia, formaldehyde and acetic acid Environment, Clean Air & Water, Sanitisation, Mechanical Systems, Sustainability, Sustainable Living

With the introduction of stringent environmental, social and governance (ESG) disclosure requirements such as the Corporate Sustainability Reporting Directive (CSRD) and the Task Force on Nature-related Financial Disclosures (TNFD), there is a heightened focus on transparency and accountability in environmental, social, and governance practices for corporates as well as small and medium-sized enterprises (SMEs). Consumers are also increasingly seeking products and services that align with ethical and sustainable principles. Despite this growing demand, the market has lacked robust solutions for quantifying and certifying ESG impacts throughout the supply chain. The technology proposed herein addresses this gap by providing a comprehensive, quantifiable evaluation of natural capital and social impacts using the inclusive wealth index (a metric for measuring the total wealth of a country, including natural, human, social, and produced capital) and life cycle assessment (LCA) methodologies assigning quantitative values to natural resources, particularly in terms of their flows and stocks. This capability not only meets sustainability disclosure requirements but also supports companies in enhancing their ESG credentials. The assessment framework is developed as an AI-powered software tool for the user to visualise a product’s supply chain map. It could trace back not only direct suppliers but also secondary, tertiary and upstream suppliers to identify hot spots or high-risk areas for ESG indicators, allowing the user to prioritise and plan for the remediation actions to restore natural capital, through a review of supply chains and input goods. The startup team is seeking to partner SMEs that are part of large corporate supply chain, corporations or municipalities that requires comprehensive ESG assessment and natural capital evaluation in reducing supply chain risk for a broader range of ESG indicators beyond carbon emissions. The assessment framework that enables quantitative evaluation of the economic value of natural capital in terms of flows and stocks, with the cost structure data and quantity data as the input data complemented by industry averages using big data/AI. The quantitative values were obtained from in-house research and product/services cost component data gathered by the research and startup team, providing ESG assessment and scoring for close to 16,000 products and services based on about 3,290 ESG indicators ranging from human rights, wages, child labour, gender equality, greenhouse gas emissions to consumption of natural resources before the products are supplied in different geographies. Dashboard enables the users to benchmark their level of achievement in ESG impact relative to the industry average, identify their company's strengths and areas of improvements. Sustainability guidelines considered by the framework include TNFD, TCFD, CDP, GHG Protocol, ISSB, SASB Standards, etc. Validity and reliability of the ESG assessment is verified and certified by a third-party international academic organisation, i.e., The Organisation for Sustainametrics with reference to ISO 14020:2000, ISO 14001:2015, ISO 14075 and SA8000 standards. The supply chain ESG analysis could be applied in various sectors that are becoming essential in major global markets. Quantitative evaluation of the economic value of natural capital in both flows and stocks could be applied in not just corporations and SMEs but for countries and municipalities. Applicable use cases include: ESG management for long term company strategy planning, e.g., new product development. Impact assessment, e.g., analysis prior to development of a new infrastructure project. Investor-oriented integrated reporting vs. industry averages. Supply chain risk assessment, e.g., financial risks attributable to sustainability in food industry. Given the current regulatory landscape and consumer trends, the potential market size for the proposed technology is substantial. Companies across various sectors, including manufacturing, retail, and finance, can leverage on this solution to improve their ESG performance, gain competitive advantage, and meet the rising expectations of stakeholders. The proposed technology offers a unique value proposition by enabling precise, data-driven ESG assessments, making it an attractive and essential tool in the journey towards sustainability. In addition to the Inclusive wealth index for national and local governments, Scope 3 and LCA have already become important among companies, and have been adopted by the TCFD as standard methods for evaluating natural capital. These analyses focus mainly on climate change and measure flows. However, the current situation where companies and national and local governments have different approaches to assessing natural capital not only makes it difficult to share information among stakeholders, but also hinders their participation and goal achievement. Therefore, the development team aims to provide an impact assessment method that covers the impacts of nature, people, and man-made resources by extending the scope of LCA assessment, extending the inclusive wealth index used by national and local governments to corporate organizations, and enabling a PDCA cycle based on cross-referencing. Social impact, Natural capital, Supply chain, Sustainability assessment Infocomm, Big Data, Data Analytics, Data Mining & Data Visualisation

Dementia, particularly Alzheimer's disease, is a significant socioeconomic burden in aging societies. Traditional blood tests are unable to  detect Alzheimer's biomarkers despite that the biomarkers appear 10-20 years before the appearance of cognitive decline symptoms. A groundbreaking ultrasensitive blood biomarker detection technology has been developed to overcome this limitation. This patented technology detects disease biomarkers at femtogram (fg/mL) levels, achieving sensitivity over 10,000 times higher than conventional methods. In addition to advanced biomarker detection, a comprehensive lifelog data collection technology has been integrated. Using smart rings and other wearable devices, extensive lifelog data is gathered, including sleep patterns, activities, and urine test results. This multimodal data collection supports the creation of the world’s largest Asian Senior Cohort, targeting over 30,000 individuals for the next 5 years. A key component of this innovative approach is the AI-based data analysis for the diagnosis and prognosis of dementia and cognitive dysfunction. AI algorithms analyze the comprehensive datasets, providing precise diagnostic insights and predicting disease progression. This AI-driven analysis, combined with ultrasensitive biomarker detection and detailed lifelog data, forms a robust data platform for early diagnosis, continuous monitoring, and personalized healthcare solutions. By focusing on these cutting-edge technologies, this platform offers a holistic and precise approach to managing cognitive health in super-aging societies. This innovative solution supports precision medicine and provides a comprehensive method for the early detection and ongoing management of dementia and other age-related diseases. This technology offers substantial improvements over current cognitive health management practices through several unique features: Ultrasensitive Biomarker Detection: Unlike conventional methods, which often lack sensitivity, this technology detects Alzheimer's biomarkers at femtogram (fg/mL) levels. This capability enables detection up to decades before cognitive symptoms manifest, facilitating early intervention and significantly improving treatment outcomes. Comprehensive Lifelog Data Integration: Utilizing smart rings and wearables, the technology continuously gathers detailed lifelog data such as sleep patterns and physical activities. This holistic monitoring approach provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. AI-Driven Precision Healthcare: Integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Establishment of Large-Scale Research Cohorts: The technology facilitates the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. This integrated technology revolutionizes cognitive health management in aging societies by combining ultrasensitive biomarker detection, comprehensive lifelog data collection, and precise AI-driven analysis for proactive healthcare solutions.  Early Diagnosis: The technology's ultrasensitive biomarker detection enables early identification of Alzheimer's disease, potentially decades before symptoms appear. This early detection supports timely interventions, improving treatment outcomes and quality of life for patients. Continous Monitoring and Personalized Care: Integrating lifelog data from smart devices allows for personalized healthcare strategies tailored to individual health profiles and the continuous monitoring of daily activities, sleep patterns, and vital signs facilitates proactive management and optimization of treatment plans based on real-time data insights.  Tailored Treatment Strategies:  AI-driven analysis of multimodal datasets provides valuable insights into disease progression and treatment efficacy. This capability aids healthcare professionals in monitoring cognitive decline, adjusting therapeutic approaches, and delivering timely interventions to enhance patient care outcomes. Research and Development Platform: The establishment of a large-scale Asian Senior Cohort and extensive lifelog data collection creates opportunities for advanced research in drug discovery, biomarker development, and validation of medical devices. This platform supports longitudinal studies and clinical trials, offering a robust framework for investigating correlations between biomarkers, lifestyle factors, and cognitive health outcomes The market potential for this technology is substantial, driven by the increasing prevalence of dementia and the growing elderly population globally. The Alzheimer's Disease International estimates that over 50 million people worldwide currently live with dementia, with numbers projected to nearly triple by 2050. This demographic shift underscores the urgent need for innovative technologies that can improve early detection, management, and treatment outcomes. This technology's unique value proposition lies in its groundbreaking sensitivity in biomarker detection which allows for early detection of cognitive decline and dementia much earlier than presentation of clinical symptoms. Integrated lifelog allows for a holistic monitoring approach which provides a comprehensive view of an individual's health status, enabling personalized healthcare strategies tailored to specific patient needs. In addition, integrated AI algorithms analyse multimodal datasets with over 90% accuracy for diagnosing and predicting cognitive dysfunction. This AI-driven analysis enhances diagnostic precision, monitors disease progression effectively, and optimizes treatment plans based on real-time data insights. Lastly, the technology provides an opportunity for the creation of extensive Asian Senior Cohorts, supporting longitudinal studies and clinical trials. This infrastructure is pivotal for advancing research in drug discovery, validating biomarkers, and developing innovative medical devices aimed at enhancing dementia management. Dementia, Biomarkers, Alzheimers, Diagnositcs, AI, Precision Health, Personalised Healthcare Healthcare, Diagnostics, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

Singapore is an aged society and is set to be “super-aged” in 2026. This means that 21% of the population are 65 years and above. In a recent study conducted in Singapore, 72% had some form of cognitive impairment. The number of young onset dementia is also on the rise in Singapore. This underscores the critical need for early detection and intervention. However, existing screening tools for dementia have limitations. Their ability to identify Mild Cognitive Impairment (MCI), an early stage of dementia, is limited. Additionally, these tools require specialized instructors for test administration and scoring, which can be inconvenient for seniors who must visit a facility for screening. This innovative app merges mobile technology with artificial intelligence to address these challenges. It outperforms the MMSE (mini-mental state examination), the most widely used dementia screening test, in identifying both Alzheimer’s disease and MCI. Furthermore, the AI-based automatic scoring system provides test results within one minute, eliminating the need for specially trained instructors. This feature makes the app accessible anywhere, including at home. By enhancing the accuracy, accessibility, and usability of dementia screening, the app aims to facilitate equitable access to essential healthcare resources and contribute to the well-being of individuals and communities.     The app screens for Alzheimer's disease and Mild Cognitive Impairment (MCI) early by analyzing the user's speech. First, the application begins by collecting speech data from the users answering 11 questionnaires measuring each cognitive ability such as short-term memory and numeracy. Second, the recorded speech files are converted into images using spectrogram generation. Spectrograms convert audio signals into visual representations that show the frequency and intensity of sound over time. This conversion enables the application to capture intricate details and patterns within the user's voice that indicate cognitive changes. Third, the heart of the application is its proprietary artificial intelligence (AI) algorithm. This algorithm has been trained on a vast dataset of voice recordings from 1,300 patients through 2 years of clinical studies. It uses deep learning neural networks to identify subtle patterns, variations, and anomalies in the generated imag­­es. Fourth, the AI algorithm analyzes the images to detect specific patterns associated with Alzheimer's and MCI. These patterns include irregularities in pitch, tone, rhythm, pauses, and other vocal attributes that reveal cognitive decline. Through voice-to-image conversion and a proprietary AI algorithm, the app offers a promising avenue for early diagnosis and proactive management of cognitive health. The app is tailored for the senior healthcare market with two distinct versions: The first version targets the B2B2C healthcare market, focusing on providers of senior care products and services in both public and private sectors. This version operates independently of medical oversight and does not offer disease diagnosis or numerical health assessments. This will be positioned as a cognitive health monitoring tool to empower care providers to enhance their offerings in the senior care market. The second version is a medical device intended for the B2H channel, including hospitals, clinics, and health check-up centres. This version is currently in the process of obtaining certification from the relevant medical device regulatory authority, such as K-FDA. Once certified, the app can complement or replace existing dementia diagnostic tools such as MMSE and CIST. This capability allows hospitals to expand their range of dementia diagnostic services and generate additional revenue from cognitive health assessments, addressing a gap in the current market offerings. Dementia is not solely a concern in South Korea but a global challenge. The number of global dementia patients is anticipated to rise from 55 million in 2020 to 139 million by 2050. Some studies even suggest that this figure may surpass 152 million, three times the current number, by 2050 (Washington University School of Medicine's Institute for Health Metrics and Evaluation, 2021). The market size is expected to continue growing with an average annual growth rate of 12.8% over the next six years. The app pioneers a meticulous approach to cognitive health assessment through acoustic analysis. Unlike traditional methods that rely solely on user responses, it analyses factors such as word intervals, pauses, and pitch variations. This detailed acoustic perspective enables it to detect early signs of cognitive decline, surpassing the limitations of conventional techniques. Central to innovation is a language-independent algorithm. It effortlessly converts user speech into spectrogram images that vividly depict speech characteristics using colour and brightness variations. This approach breaks down language barriers, adapting seamlessly to diverse linguistic contexts without requiring new algorithms for each language. This adaptability ensures the app serves global communities effectively. Designed for accessibility and convenience, the app completes screening in just 10-15 minutes using a mobile device—no specialised equipment necessary. This simplicity empowers seniors and caregivers, democratizing proactive health management. The app's portability and user-centric design redefine dementia screening, offering innovative features and universal accessibility that set a new standard in cognitive health assessment. Healthcare, Telehealth, Medical Software & Imaging

The company offers a suite of innovative automated liquid handling systems, hardware and software for process automation designed to enhance precision, efficiency, and scalability in biological research. The industry currently faces significant challenges with semi or full automation of laboratory equipment, including high costs, limited flexibility, and manual errors. These bottlenecks hinder the efficiency and reliability of complex laboratory processes. The company's technology addresses these issues with a range of flagship products that provide cutting-edge automation for tasks such as genomic and proteomic analysis, drug discovery, and clinical diagnostics. The systems feature modular assembly, allowing for easy customization and scalability to meet the evolving needs of life science laboratories. This flexibility ensures that the solutions can adapt to various experimental setups and requirements. One of the unique value proposition of the company's technology is its ability to significantly reduce costs up to 90% compared to traditional automation systems. This cost-effectiveness is achieved through innovative mechanical design, advanced software integration, and efficient hardware utilization. Additionally, the systems boast the largest consumables library in the industry, providing researchers with a wide range of options to support their specific needs. The company is actively seeking software and OEM partnerships to further enhance its product offerings and expand its market reach. By collaborating with key partners, it aims to continue driving innovation and providing top-tier solutions to the life sciences industry. The product range includes modular automated liquid handlers, hardware and software engineering that can be customized for a variety of laboratory applications. Key features include: Precision Pipetting: Capable of handling small volumes with high accuracy. User-Friendly Software: The software interface allows for easy programming and integration with existing lab protocols without the need for extensive technical knowledge. Scalable Design: Modular components enable easy expansion and adaptation to changing research needs. Compatibility: Seamless integration with other laboratory instruments and workflows. Industry: Pharmaceuticals, Biotechnology, Clinical Research, Academic Research. Applications: High-throughput Screening, Drug Development, Clinical Diagnostics, Production, Quality Control, PCR Preparation, Protein Purification, Nucleic Acid Extraction, Diagnostic Sample Preparation, NGS Library Preparation, Serial Dilution, Cell-based Assay, ELISA, Aliquoting. Products: Automated liquid handlers, No-code lab automation software, Customizing for OEM/OEM process automation. The global market for liquid handling systems is expected to reach $3.6 billion by 2027, driven by increasing demand for automation in the life sciences sector. Significant growth opportunities exist in North America, Europe, and Asia, with a focus on applications in drug discovery and clinical diagnostics. The lab automation solutions provide unmatched precision, reliability, and flexibility at a competitive price. Lab automation solution minimizes human error, increases experimental reproducibility, and supports scalable research workflows, making it ideal for laboratories looking to enhance their operational efficiency and data integrity. Enhanced Precision: Reduces manual errors by up to 99%, ensuring reliable and reproducible results. Advanced pipetting technology for accurate liquid handling. Increased Throughput: Automates repetitive tasks, allowing for a 50% increase in sample processing rates. Streamlines workflows to reduce manual labor. Cost Efficiency: Reduces costs by up to 90% compared to traditional automation systems. Innovative mechanical design and modular components save an average of $50,000 per year in operational costs. Modular Assembly: Allows for easy customization and scalability to meet specific laboratory needs. Flexible design that can adapt to various experimental setups and requirements, reducing setup time by 70%. User-Friendly Software: Advanced software for intuitive operation, reducing training time by 60%. Drag-and-drop interface for easy protocol setup and modifications, enabling setup changes in under 5 minutes. Collaboration: Consultative lab automation system ODM/OEM partnership from ideation, concept design, product validation and product commercialization. Ability to provide fully automated solutions including consulting, hardware, software and 3rd party integration. Automated Liquid Handling, Laboratory Automation, Clinical Diagnostics, High-Throughput Screening, Automation Robots, Pipetting, Biofoundry, Cell Line Development, Drug Discovery, Genotyping Healthcare, Diagnostics, Pharmaceuticals & Therapeutics, Manufacturing, Assembly, Automation & Robotics, Life Sciences, Industrial Biotech Methods & Processes

Sensor technology for smart homes and smart building services has undergone significant evolution and advancements over time. Initially designed as stand-alone devices without communication capabilities, sensors have advanced to interconnected wireless communication systems with built-in antennas powered by batteries. The latest advancements include next-generation low-power wireless reception technology, enabling the design and manufacture of long-lasting wireless sensors with miniature batteries. These advancements have greatly benefited the development of wireless sensors such as smoke and carbon monoxide detectors, sirens, fire alarms, heat alarms, and more. A Japanese corporation has developed a new low-power wireless technology that significantly enhances synchronization, standby reception, and driver processes during the sensor's wireless communication cycle. This low power wireless reception technology aims to achieve precise time synchronization during communication between the base station and connected devices. In instances of asynchrony, intermittent reception at high frequencies is employed to detect radio waves due to uncertain timing in incoming communication. However, with this new synchronous method, clear timing alignment between the base station and connected devices allows intermittent reception to synchronize with communication timing, thereby reducing the frequency of high-frequency checks. This synchronization is facilitated by several techniques: Synchronization: The software ensures precise timing alignment between communication partners. This approach aligns communication schedules instead of frequently checking for signals. It allows intermittent reception to match communication events, reducing the need for constant high-frequency checks. Standby Reception: Beacon signals are transmitted from the base station for synchronization. By reducing the duration of these signals, power consumption is minimized. The firmware ensures that the connected device waits attentively before and after beacon reception, shortening the base station's transmission time. Driver Management: Control the switching between low-power standby and active reception states. With precise synchronization, the driver accurately predicts when to activate reception circuitry, ensuring readiness without energy wastage on constant checks. The technology can be applied to a wide range of wireless sensing uses for smart buildings and smart homes: Interconnected smoke detectors, fire alarms, and call buttons Sensors for HVAC controls and building management Occupancy sensors for presence detection and people counting Sensors for access and lighting control The technology owner is seeking business collaborations with application developers and product OEMs to manufacture new wireless sensors and enhance existing ones. This low power wireless reception technology is superior to Bluetooth (BLE) in communication range and to ZigBee in power consumption. Reduced need for battery replacement, longer intervals between maintenance for labor savings, and a compact battery for improved design and aesthetics. Reference target for the technology: 10-year battery life based on battery capacity of 1600mAh Communication distance of 100m or more The overall energy savings from implementing this technology compared to conventional methods can be up to 82%. Wireless, Low power, Reception technology Green Building, Sensor, Network, Building Control & Optimisation, Infocomm, Wireless Technology