TECH OFFERS

The field of medical aesthetics has witnessed remarkable growth, driven by the increasing demand for non-surgical cosmetic treatments. Patients are increasingly seeking minimally invasive procedures that provide effective results with minimal discomfort, reduced downtime, and fewer side effects. This has spurred the development of advanced technologies such as dermal fillers, botulinum toxin injections, and various energy-based devices to address common concerns like wrinkles, skin laxity, and volume loss. Despite these advancements, traditional needle-based injection methods still present challenges. They can cause discomfort, bruising, and anxiety, which often deter patients from seeking treatment or lead to suboptimal results due to patient hesitation. Additionally, needle-based procedures carry inherent risks, such as infection, uneven distribution of the injected substance, and potential damage to surrounding tissues. To overcome these issues, a laser-guided, needleless drug injection device has been developed. This technology utilizes a 2940nm Er:YAG laser that interacts with water to create internal explosions, generating strong pressure. This pressure converts the drug, sprayed from a nozzle, into a jet form, allowing it to be delivered precisely and evenly into the desired skin layer. The technology enables the rapid injection of large quantities of medication, offering a pain-free, controlled, and efficient alternative to traditional needle-based injections. The technology owner is seeking collaboration with partners in the aesthetics, pharmaceutical, medical laser device manufacturers, and professional medical institutions. The goal is to expand the application of this technology beyond aesthetics, into areas such as drug delivery for vaccines and other therapeutic uses. The technology consists of a 2940nm Er:Yag laser body, a dedicated handpiece, and a nozzle. It is an innovative technology that allows safe and uniform delivery of drugs in microliter units. It is approved by CE to be used in the EU as a laser-based needle-free injector for drug delivery The drug can be injected at a rate of 0.3 microliters per injection Fast speed of up to 40 times per second Inject repeatedly and uniformly in the very shallow upper dermal layer (1-2mm) Minimal pain and minimal downtime to patient Dual effect of solution and micro-jet Micro-Jet nozzle is a disposable consumable The technology, currently utilized in the medical aesthetics industry, holds significant potential for broader applications. By diversifying energy sources and adjusting energy intensity based on the core intellectual property, this technology could be adapted and customized for various applications such as cosmetic general medical care vaccine delivery with a potential for targeting different depths of the skin (subcutaneous or intramuscular) in a compact version. Precise Micro-Injection: Delivers drugs at a controlled rate of 0.3 microliters per injection into the shallow upper dermal layer, ensuring accurate placement. High-Speed Delivery: Capable of up to 40 injections per second, allowing for a full facial treatment in approximately 5 minutes. Versatile Application: Suitable for a wide range of aesthetic solutions, including PRP, vitamins, glucose, hyaluronic acid, botulinum toxin, and PDLLA. Enhanced Control: Offers superior precision in targeting specific skin layers and controlling the exact amount of drug delivered compared to traditional methods. Minimized Discomfort: Needle-free technology ensures minimal pain, with fast recovery times and reduced downtime. Needle-free, Laser Injector, Asthetic, Drug Delivery System Personal Care, Cosmetics & Hair, Wellness & Spa, Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

Pollution in oceans and rivers is a global concern due to contaminants like oil spills and microplastics, which harm biodiversity. In response to marine pollutions, extensive human and technological resources are typically deployed to mitigate the situation, this includes absorbent, oil skimmer machineries, drones or vessels depending on the complexity of required clean-ups, resulting it being costly and time consuming. Designed and developed by a Korea-based startup, the technology proposed herein is a robot deployed onto the water surface to efficiently recovers pollutants autonomously with minimum human intervention. Unlike conventional pollution recovery equipment that uses additional devices connected by hoses, the robot combines the recovery of pollutant, transportation and storage of pollutants into a single robot device that can travel up to 1000 m range. The robot is equipped with a proprietary hydrophilic ratchet-based contaminant recovery technology, which generates a flow that sucks water through the movement of a hydrophilic material and controls the attachment and detachment of contaminants on the surface of the material by capillary force. This proprietary recover technology enables the robot to recover bunker fuel spills including high viscosity low sulfur fuel oil (LSFO), low viscosity heavy fuel oil (HFO), diesel, as well as microplastics in an efficient manner. The technology owner is seeking to collaborate with companies that provides marine pollution control/recycling service and government agencies to conduct a pilot trial in Singapore, with an option to further co-develop and integrate technologies that enhances the capabilities of the robot, such as identification of marine pollutants. Two solutions were offered: Oil skimming robot: 100 kg remote controlled robot of up to 1000 m operating range. About 1.0 ton of recovered oil/contaminant storage tank and process up to 26.6 kL/h. Capable of unmanned/autonomous/remote operation with minimum supervision. Field demonstration performed in river, harbour, and open sea in Asia and Middle East. Ocean cleaner robot: 45 kg remote controlled robot of up to 1000 m operating range. About 0.2 ton of contaminant storage tank and process up to 2 ton/h. Both solutions work in tandem with an air drone that pins a GPS location where pollutants are found. The information is then relayed to the robot for its autonomous navigation to its target location for its operation. The robots can be deployed for floating pollutants recovery from the surface of the water, such as rivers, beams, dams, and oceans. Pollutants that can be recovered include high viscosity low sulfur fuel oil (LSFO), low viscosity heavy fuel oil (HFO), diesel, microplastics of 0.001-5 mm, etc. A ratchet-shaped material that enhances the effect of attracting water to hydrophilic porous materials to optimise the recovery of marine pollutants in an autonomous robot. Marine Waste Management, Marine Pollutants, Marine Pollutant Recovery Robot Environment, Clean Air & Water, Mechanical Systems

Vision-based Artificial Intelligence (AI) models require substantial time to train, fine-tune and deploy in production. After production, this process is still required when performance degrades and re-training on a new dataset becomes necessary; this maintenance process exists throughout the model's lifetime to ensure optimal performance. Rather than embarking on the time-consuming and painful process of collecting/acquiring data to train and tune the AI model, many organisations have turned to the use of pre-trained models to accelerate the AI model development process. This technology consists of a suite of pre-trained models that are intended to detect food, human behaviours, facial features and count people. These AI models are operable on video footage and static images obtained from cameras. Models are tuned and trained on various use-cases and are accessible via API calls or embedded within software as a Software Development Kit (SDK) library. These models can be deployed as AI as a Service on Microservices platform providing customer data protection with blockchain technology. With customer protection enhanced with blockchain technology, AI Model performance can further be enhanced to meet customer requirement.   The technology consists of a suite of pre-trained AI models that provide high accuracy (over 80%) and can be further customised to improve accuracy and adapted to different use-case scenarios. Models can be integrated in the following ways:  Installed library package embedded within software on-device/on-premise HTTP-based Application Programming Interface (API) calls with video/image data to cloud-installed library package The following are the features for various AI models: Abnormal Behaviour Recognition Continuous monitoring and detection of abnormal human behaviours e.g. fighting, loitering Event Detection Recognises a variety of subjects and events e.g. sports day, graduation, wedding, festival, Christmas, from video footage Optimised for lightweight compute capability (Intel OpenVino) Food (Fresh and Packaged) Recognition Real-time detection of fresh and packaged foods Detects abnormal fresh food or defective packaged food Classifies food types e.g. lotus, spinach, cucumber, radish etc. Optimised for low compute capability Privacy-Preserving Person Recognition Privacy preserved people detection, counting and human activity recognition Images are blurred to preserve private information that can lead to personal identification (irreversible) Optimised for lightweight edge computing Free (Empty) Space Recognition Semantic segmentation to identify empty spaces Customisable for any free-space detection scenario High accuracy in night scenes Safety Monitoring Object detection with prohibited and allowed zones (e.g. person or forklift) Detects and identifies safety risks associated with safety distances Enables audible alarm systems of abnormal situations Wellbeing and Safety Detection Automatically detects and classifies nudity images from images  Enables alerts to be delivered to parent/caregiver's device Customisable to detect new categories of inappropriate content This technology offer comprises a suite of AI models for the following applications: Abnormal Behaviour Recognition Public areas or areas where social order needs to be maintained e.g. food & beverage, entertainment establishments Event Detection Automatic creation and/or organisation of media content i.e. photo classification Automated adjustment of device hardware parameters e.g. audio, colour, brightness when displaying specific types of content e.g. sports Food (Fresh and Packaged) Recognition Food stock level detection, food inventory management Automatic detection of fresh/packaged goods within a constrained area Privacy-Preserving Person Recognition Privacy protection of visual information, in high traffic areas, without deterioration of video quality Free (Empty) Space Recognition Vehicle position localisation on roads Navigation (free-space localisation) in partial/fully self-driving automotive vehicles Identification of free storage spaces in the logistics industry Safety Monitoring Automated compliance checks Workplace safety analysis and tracking Wellbeing and Safety Detection  Parental control in browsers, smartphones or other image storage devices e.g. Network Attached Storage (NAS), Solid State Drives (SSD) AI Models were rigorously tested in the fields of different scenarios. The microservice platform where AI Model ingest the visual data streams offers a secure customer data protection and privacy using blockchain technology. Making this Microservice platform capable of tracking customer’s data usage and thus ensure privacy when AI model operating on the platform are simultaneously improved using unique customer data captured on customer’s premise. Accelerate AI development - eliminate the need for dataset creation, annotation, tuning and testing Customisable AI models - fine-tuned to environment and condition Operational support to continuously improve AI accuracy from newly collected data   event detection, abnormal human behaviour recognition, safety monitoring, food package detection, food freshness, nudity detection, empty space Infocomm, Video/Image Analysis & Computer Vision, Video/Image Processing, Artificial Intelligence

Eldercare centres have a unique structure due to the several variables & constraints regarding the elder and service type. Unlike the other item or passenger transportation problems, the eldercare industry does not have a standard approach to match the number of elders and vehicle capacity because some elders are transported by a wheelchair which covers approximately two seats, whereas the others may be ambulant. In addition, for some cases, such as an elder with dementia, a caregiver may accompany the elder, making the capacity-elder match more complicated & dynamic per vehicle trip. Considering this capacity utilization problem in the eldercare & healthcare industry, this technology was developed, which is a routing algorithm that optimally matches the number of elders and vehicle capacity to minimize the number of vehicles deployed per trip while maximizing vehicle utilization by providing the minimum travel distance and travel time. As a result, eldercare service providers will provide faster services to customers and reduce their outsourced vehicle costs. The routing optimization model was designed to improve the transportation service quality eldercare centers by focusing on: Optimal elder routing & sequence per vehicle trip Database structure to eliminate manual workload Optimal vehicle scheduling Operational KPIs structuring The algorithm is able to be integrated as a microservice under a platform interface whereby all applications are accessed & monitored by the end-user. The capacitated vehicle routing problem with time windows (CVRPTW) has a wide range of applications where each customer service should start at a specified time window. In this technology,  CVRPTW was adapted into eldercare transportation cases considering the particular specifications such as elder type as ambulant, with wheelchair, service type as daycare or rehab and caregiver accompaniment. As a result of the model, approximately a 20% improvement was observed in travel distance and travel time per vehicle trip for some centers. Routing optimization of elderly to and from eldercare homes. Data Bridge Market Research analyses that the elderly care market which was USD$832.8 billion in 2021, would rocket up to USD$1,268.43 billion by 2029, and is expected to undergo a CAGR of 5.40% during the forecast period 2022 to 2029. High customization for the eldercare sector: No requirement for further customization, time and resource-saving Niche product: Low level of competition, similar algorithms need to be customized first for the specific considerations of the eldercare industry Optimal output: Proof of the model reliability, safe to implement Integrability: Flexible to interact with other applications Infocomm, Artificial Intelligence

Businesses generate and store large amounts of data daily, typically from multiple systems and sources. These data are only accessible within respective systems with most stored and not fully utilised to improve business productivity. The technology is developed to introduce an AI-based solution to help enterprises digitalise, automate their workflow and utilise their available digital data. This empowers businesses to gain actionable data insights in minutes, allowing your organization to make informed, data-driven decisions. This AI technology solution enables companies to harness the benefits of AI without the need for costly and specialised developers or data scientist. The company is looking for collaborative partners across various industries looking to explore AI solutions for digital data consolidation, workflow automation and full utilisation of internal digital datasets for business optimisation. The technical specifications and features of this SaaS AI solution are as follows: Built-in automated machine learning (AutoML) AI algorithm that automatically constructs and generate the suitable AI model based on the available datasets Enable real-time data processing, predictitive analytics, and tailored insights to empower organisations to make informed, data-driven decisions quickly and efficiently User-friendly design that does not require personnel with AI expertise to use the platform Large Language Model (LLM) agent chat for pulling up relevant contextualised information Visualisation tools to represent data, such as charts, tables, dashboard and reports Autoscaling for future expansion with secure data storage The company currently have tested their technology solution across various industries (healthcare, supply chain, life sciences, manufacturing and finance). This technology solution can be utilised in industries such as: Retail and consumer goods Insurance Energy & utilities Agriculture & food production Automotive, transport & supply chain The technology solution provides users with valuable data-backed insights using automated AI Machine Learning (AutoML) models without needing expensive consultants, developers or a team of data scientists. It can consume any data source, deploy an optimised data model in minutes, vectorize with nearest-neighbour algorithms, and then allow the user to build analytics and chat with the data with LLM, AI fine-tuning and AI-specific agents in minutes, all with secure data management, and a high performance, highly scalable trusted cloud offering. Data Management, LLM, Data Insights, AI Agents, Machine Learning, Auto Analytics Infocomm, Artificial Intelligence, Enterprise & Productivity, Data Processing

A Digital Twin is a digital representation of a physical object or system, often used in various industries for simulation, analysis, and monitoring. In the built environment, which encompasses everything from buildings and infrastructure to urban planning, Digital Twins have a wide range of potential applications that can significantly enhance efficiency, sustainability, and overall quality of life. Digital twins have emerged as a transformative concept in the built environment, revolutionizing how buildings, infrastructure, and cities are designed, constructed, and managed. This innovative technology leverages the power of digital simulations and real-time data to create virtual replicas of physical assets, offering numerous benefits across various sectors within the built environment. The technology owner is seeking co-development partnerships with building owners, facity management companies, smart city or urban planners to adopt their digital twin technology in achieving their sustainability objectives. Digital twin model development & data gap report This stage involves the creation of a baseline digital twin of the proposed facility. Measured performance data input This involves gathering measured data from various sources. This would be the building BMS system and/or any other source of live or streaming operation data. Model calibration This includes the testing of the model with logic checks and balances to verify the basic inputs. Actual building experience and monitored data will be used to make any final adjustments and calibration so that the virtual model outputs align closely to reality. Analysis & diagnosis Once the baseline model is complete and confidence exists as to its validity from the calibration accuracy (over 95% accuracy), the model can be used to run “what-if” scenarios for the future. Retro commissioning (RCx) i.e. change in operations without any additional investment options will be analysed. Corrective action The team will develop a set of bespoke/customized alarms, alerts and control rules to continuously optimize building energy performance using real-time data. Deployment A workshop will be conducted to make the participating stakeholders aware of the digital twin process. Required software access as well as the user guides will be shared during the deployment. Monitoring The final stage will be the monitoring of the digital twin post-implementation. Some key potential applications for Digital Twins in the built environment: Architectural and Urban Planning: Digital Twins can be used to create virtual models of cities, allowing urban planners and architects to simulate and visualize different design scenarios. Energy Efficiency and Sustainability: Digital Twins can be used to model and simulate a building's energy consumption and environmental impact. Facility Management: Once a building is operational, Digital Twins can be used for ongoing facility management. Smart Cities: Digital Twins can serve as the backbone of smart city initiatives. By creating digital replicas of urban infrastructure and systems, city authorities can monitor traffic flow, manage waste collection, and respond to emergencies more effectively. Real Estate Development: Developers can use Digital Twins to create virtual walkthroughs of properties, allowing potential buyers or tenants to explore spaces before they are built. The Digital Twin industry is growing phenomenally, the Digital Twin Market size is expected to reach 63.5 Bil USD by 2027. The number of cases using digital twins for implementation is likely to go up to 23% in 2024 from 10% in 2021. The opportunities to use a digital twin in a built environment are quite a few: Building Performance Optimization: Digital Twins allow for continuous monitoring of a building's performance, including energy consumption, HVAC systems, and structural integrity. Sustainable Building Practices: With increasing emphasis on sustainability, Digital Twins can facilitate the design and monitoring of green and sustainable buildings. Urban Planning and Smart Cities: Digital Twins extend beyond individual buildings to entire urban environments. Cities can create virtual replicas of their infrastructure to optimize traffic flow, manage resources efficiently, and improve the overall quality of life for residents. Real Estate and Property Management: Property owners and managers can use Digital Twins to enhance tenant experiences, monitor building health, and predict maintenance needs. Facility Maintenance and Operations: Digital Twins provide real-time insights into the condition of assets within a facility. Data-Driven Decision-Making: The wealth of data generated by Digital Twins allows for data-driven decision-making at all stages of a building's lifecycle. Integration with IoT and AI: The combination of Digital Twins with the Internet of Things (IoT) and Artificial Intelligence (AI) technologies further enhances their capabilities. Improved Design and Simulation: Architects and engineers can use Digital Twins to experiment with different design concepts and test how they perform in various conditions. This allows for better optimization of building systems, materials, and energy usage, resulting in structures that are more sustainable and resilient. Real-Time Monitoring and Maintenance: Once a building is operational, the Digital Twin continues to add value by collecting and analyzing real-time data from sensors and IoT devices. Energy Efficiency: Digital Twins can optimize energy usage by analyzing data from sensors that monitor temperature, humidity, occupancy, and more. Cost Savings: By preventing errors, reducing downtime, and improving energy efficiency, Digital Twins can generate substantial cost savings over the entire lifecycle of a building or infrastructure project. Sustainability: Digital Twins enable sustainable design and operation by allowing architects and engineers to assess the environmental impact of their decisions. Risk Management: By simulating different scenarios and continuously monitoring a building's performance, Digital Twins can help identify potential risks and vulnerabilities, allowing for proactive risk management and disaster preparedness. Remote Collaboration: In an increasingly globalized world, Digital Twins facilitate collaboration among teams located in different parts of the world. Data-Driven Insights: Digital Twins generate vast amounts of data, which can be leveraged for data-driven insights and machine learning applications. Green Building, Sensor, Network, Building Control & Optimisation

In modern healthcare, remote patient monitoring is increasingly important, offering significant advantages in patient care and accessibility. Non-contact monitoring reduces the need for physical interaction, crucial during infectious disease outbreaks or in intensive care units. It also allows for discomfort-free monitoring, making it ideal for vulnerable populations like the elderly, infants, and critically ill patients. This technology is particularly valuable in settings where traditional contact-based methods are impractical, such as in telemedicine and home care. Additionally, it reduces the need for multiple devices to measure various bio-signals, streamlining processes and cutting costs. The technology utilises remote photoplethysmography (rPPG) to measure bio-signals without attaching any sensors. rPPG technology works by analyzing subtle changes in the light reflected from a person's skin, which are correlated with underlying physiological signals. By utilizing standard cameras and sophisticated signal processing algorithms, rPPG can accurately capture and interpret these bio-signals from a distance, offering a convenient and reliable alternative to conventional methods. This technology can measure pulse, oxygen saturation, and blood pressure as raw data and analyze it to measure stress index, drowsiness index. The technology owner is seeking collaborators in: Transportation Companies or Automotive Manufacturers: To enhance mobility services by integrating driver bio-signal and drowsiness monitoring, providing a safer and more innovative driving experience. Healthcare and Telemedicine Providers: To improve the quality of remote healthcare services through continuous biometric signal monitoring and non-face-to-face consultations, particularly for home care and telemedicine. Insurance Providers, Daycare Centers, and Health & Wellness/Fitness Apps: To expand current health and wellness offerings by incorporating bio-signal measurement technology into fitness apps, smart appliances. Measures pulse, oxygen saturation, blood pressure, temperature, as raw data and analyze it to measure stress index, drowsiness index. [Accuracy] pulse: 99%; oxygen saturation: 99.5%; blood pressure: 95%. The same software can also be used for in bio-signal based security and attendance management technology in the prevention of face forgery and alteration, security access control. The measurement speed for one-time measurement is less than 4seconds (excluding blood pressure) but for real-time measurements, it is within 10seconds (including blood pressure). Able to work in low lighting conditions (night), using both RGB and IR cameras and compatible with low-spec hardware such as inside a car. Compatible with various operating system such as Andriod, iOS, windows and Linux. A breathalyzer can be incorporated into the system. This technology enables non-contact, remote, unobtrusive monitoring in both clinical and non-clinical environments that is able to work reliably in poor external conditions (variation in light and movement). 1) Transportation Companies or Automotive Industry The technology can be integrated into vehicles to monitor the driver’s health and alertness. By measuring bio-signals and potentially incorporating add-on modules like breathalyzer, it helps prevent safety accidents caused by fatigue or impaired driving. This application holds significant potential for expansion in the era of autonomous driving, where continuous monitoring could enhance both safety and user experience. 2) General Health, Wellness, and Sports This technology can be embedded into smart appliances (mirrors), health & wellness app. By monitoring vital signs, it can provide personalized services such as tailored exercise routines or cooking recipes based on an individual’s health conditions. This approach enhances daily health management and contributes to overall wellness. 3) Child Development and Elderly Monitoring For child development, the technology can be integrated into various video content, enabling the measurement of vital signs while children watch or play, thereby assessing their growth, nutrition, and mental state. Similarly, it can be used for elderly monitoring, particularly for those who might be in the blind spots of healthcare, ensuring their well-being and providing timely health interventions. 4) Remote Health Monitoring and Telemedicine Medical facilities can employ this technology for remote patient monitoring and telemedicine. By establishing continuous health monitoring capabilities, it supports the development of smart medical systems that facilitate non-face-to-face medical treatment and contactless measurement of vital signs. This not only reduces the workload on medical personnel but also offers patients a more convenient and efficient way to manage their health remotely. Fast measurement speed in less than 10 seconds, pulse and oxygen saturation can be measured within 4 seconds Able to measure even in low light conditions (night) and can be extended to security solution Compatible with most operating system and able to utilize cameras/ hardware on existing smart phones Able to measure in real time The collected raw data collected can be used to analyze and give information on BMI and blood sugar (still in development)   Health and Wellness, Non-sontact, rPPG, Telemedicine, Automotive, Health monitoring, Stress, Blood pressure Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence, Healthcare, Telehealth, Medical Software & Imaging, Healthcare ICT

This technology provides simple, practical, and reliable IoT solutions designed for seamless integration and easy deployment across various industries, including Facility Management, Smart Cities, Asset Tracking, and Digital Healthcare. The solutions are designed for high reliability and low total cost of ownership, featuring easy deployment that requires minimal technical expertise. The technology is built with a carrier-grade design approach, ensuring robust performance and exceptional system longevity. It supports extensive scalability and security features, making it ideal for both public and private network operators. The flexible architecture allows for integration with existing digital infrastructures, facilitating improved operational efficiency and data-driven decision-making, and driving forward the digital transformation agenda This offering is particularly suitable for enterprises seeking to implement smart technologies in utilities, facility management, healthcare systems, and industrial IoT environments. The technology consists of IoT gateways and sensors leveraging LoRaWAN technology, known for its low power consumption and long-range connectivity advantages. The system features include Carrier-Grade design, advanced data analytics, and extensive scalability. It is secured with strong protocols, ensuring data integrity and privacy. Ideal collaboration partners are telecommunications operators, urban planners for smart city initiatives, healthcare institutions advancing in digital solutions, and enterprises looking to deploy their own private IoT networks. These partners will gain from the technology’s low-power, long-range capabilities, allowing them to deploy low-maintenance solutions over large areas. This IoT technology, utilizing LoRaWAN’s capabilities, is versatile enough for deployment across multiple sectors. Key industries include: Smart Cities: Enhancing urban infrastructure through applications like smart utilities, traffic management, environmental monitoring, and public safety systems. Facility Management: Optimizing operations in commercial and residential buildings through energy management, predictive maintenance, property protection (ie. leak monitoring) and security systems. Healthcare: Deploying digital healthcare solutions such as remote patient monitoring, medical asset tracking and environment monitoring Utilities: Facilitating smart grid technologies, water management solutions, and utility usage monitoring to improve efficiency and reduce operational costs. Agriculture: Supporting precision agriculture techniques with soil monitoring, crop health tracking, and automated irrigation systems. The technology owner is seeking collaboration with deep-tech companies specialising in AI development for IoT applications to enhance the value of their solutions. Specifically, they aim to partner with experts in on-device or edge AI for low-power operations, focusing on areas such as anomaly detection, predictive maintenance, and sensor data analysis. Additionally, they are looking for partners with expertise in cloud-based AI to improve data processing, model training, and analytics capabilities. The technology owner is focused on expanding into new markets, particularly in the ASEAN region, and is seeking local collaborators with strong R&D capabilities, deep market knowledge, and a proven track record of success. By working together, they aim to tailor solutions that meet the specific needs of these markets, driving innovation and ensuring a competitive edge. This technology significantly advances the state-of-the-art in IoT solutions through its use of LoRaWAN technology, which provides unique benefits over traditional IoT systems: Extended Range and Penetration: Unlike conventional Wi-Fi or cellular-based IoT systems, LoRaWAN offers a far reaching signal that can penetrate dense urban infrastructures and reach rural areas without requiring extensive power or infrastructure, making it ideal for wide-area IoT applications. Low Power Consumption: The technology is designed for minimal energy use, enabling devices to operate for years on a single battery charge. This is a critical advantage for IoT applications where frequent battery changes are impractical, such as in environmental sensors or remote locations. High Network Capacity: It supports thousands of nodes over a single network without significant loss of performance, catering to the growing demands of urban developments and large-scale industrial deployments. Cost-Effectiveness: The setup and operational costs are significantly lower than those of traditional cellular networks, providing a more affordable solution for businesses and municipalities looking to implement IoT solutions. IoT, IIoT, Wireless Technology, Facility Management, Assest Tracking, Smart Buildings, Smart Cities, Digital Medicine, Digital Healthcare Green Building, Sensor, Network, Building Control & Optimisation, Indoor Environment Quality, Infocomm, Internet of Things, Smart Cities, Logistics, Inventory Management

Root rot diseases in food crops are devastating diseases currently without solution. Examples of such diseases are the Basal Stem Rot in oil palms, Fusarium Wilt in bananas, and Phytophthora Root Rot in citrus.  While fungicides have in vitro efficacy, most do not possess phloem mobility and therefore cannot reach the roots to effect treatment. Thus, despite widespread usage of fungicides, root rot diseases are still inadequately treated or are not treated at all. This Nano Delivery Technology imparts phloem mobility to fungicides, allowing them to reach the roots from the application site to treat and protect the crops. The technology is designed as a ready-to-use adjuvant that works with commercialised fungicides. Growers can independently and safely nano encapsulate the fungicides with basic mixing equipment and a simple, one-step mixing process. This technology is patent-pending and ready to market. Imparts phloem mobility to fungicides  Enables fungicides to effectively reach roots from the application site Sustains a residual effect for up to 12 months per treatment Encapsulation material is naturally derived and biodegradable Works with commercialised fungicides such as Hexaconazole 75% WG, Dimethomorph 80% WG and Tricyclazole 75% WDG Simple, one-step mixing process can be handled independently by growers Proven effective in treating root rot disease in oil palms  Helps growers cut losses by 75% The technology can be easily scaled to treat other phloem restricted diseases such as Citrus Greening and address problem statements such as weeds and nutrient deficiencies in food crops. Climate change that results in extreme weather conditions such as heat waves and floods exacerbates the spread and intensity of root rot diseases in food crops. At this time, there is also no known or effective treatment for such devastating diseases. The combined global economic losses from root rot diseases in oil palms, bananas, and citrus alone are more than US$ 5 billion per year. Treats root rot diseases that are currently without solution Works with commercialised fungicides Reduces reapplication frequencies hence labour requirements Accelerates ESG compliance through reduced usage of fungicides Increases growers' climate change resilience Patent pending Ready to market agriculture, agritech, agrifood tech, agrifoodtech, food security, nanotechnology, nano, nano materials, nano encapsulation, agrochemical, crop care, crop protection, herbicide, fertiliser, fertilizer, pesticide, fungicide, root rot, phytophthora, basal stem rot, fusarium wilt, panama, huanglongbing, hlb, citrus greening, delivery technology, precision delivery, delivery, encapsulation, oil palm, HLB, nano delivery, ganoderma, adjuvant, nano particles Materials, Nano Materials, Chemicals, Agrochemicals, Life Sciences, Agriculture & Aquaculture, Additives, Sustainability, Food Security