TECH OFFERS

Industrial wastewater treatment faces persistent hurdles, especially in oil and gas, petrochemical, metal finishing, and food processing industries. Conventional membranes suffer from rapid fouling when exposed to high oil and grease loads, degrade under extreme chemical cleaning, and struggle to maintain flux recovery. This often results in frequent downtime, costly replacements, and an inability to consistently meet discharge compliance. The technology is a next-generation ultrafiltration (UF) membrane engineered for highly aggressive industrial environments. Built from military-grade, chemical-resistant polymers, the hollow fiber design achieves high flux with low fouling, even under extreme conditions such as pH 1–14, temperatures up to 80 °C, high salinity, and oily streams containing up to 5% oil. For advanced industrial wastewater treatment applications, the system ensures reliable and consistent performance across challenging effluent streams. Unlike conventional polymer membranes, this solution maintains long-term performance through repeated high-caustic (pH 14+) and chlorine (10,000+ ppm) cleanings. It consistently delivers over 95% flux recovery after aggressive NaOH and NaOCl cleaning, preventing irreversible fouling and reducing replacement frequency. Optimized porosity and geometry allow the membranes to handle heavy oil loads while validated cleaning protocols ensure rapid regeneration and stable long-term operation.The proprietary polymer chemistry and crosslinking techniques that form the basis of the membrane provide a competitive edge and ensure consistent performance. The technology owner seeks collaboration with Institutes of Higher Learning, large industrial players with ongoing water reuse, wastewater, or zero-liquid-discharge initiatives, and engineering, and construction firms with opportunities for R&D collaboration, test-bedding, and licensing. The ultrafiltration membranes are engineered for superior performance in chemically aggressive and high-fouling industrial environments. Constructed from military-grade, chemically inert polymers, the membranes withstand extreme cleaning cycles and deliver long-term operational stability. Chemical Resistance: Compatible with pH ranges from 1 to 14, including exposure to high-concentration cleaning agents such as NaOH (caustic soda) and NaOCl (sodium hypochlorite) at levels exceeding 10,000 ppm chlorine. Flux Recovery: Regular chemical cleaning restores more than 95% of original flux, ensuring sustained throughput and reduced downtime. Oil Handling Capacity: Effectively processes feed streams with up to 5% oil content without pore blinding or irreversible fouling. Thermal Tolerance: Operates reliably at temperatures up to 80°C, making it suitable for high-temperature effluents. Salinity Resistance: Designed to handle high total dissolved solids (TDS) in brines, leachates, and process waters. Energy and Petrochemicals: Refinery effluent treatment and reuse, oil and gas produced water management. Heavy Industry: Metal finishing, electroplating wastewater recovery, and chemical recovery/concentration processes. High-Salinity Waste Streams: Landfill leachate treatment and high-TDS brine management for water reuse. Food and Agriculture: Wastewater from food and rendering (blood, fats, oils) and vegetable oil separation/recovery. Built for extreme wastewater conditions: high oil, salinity, and chemical loads Cuts operating costs with longer membrane life and optimized cleaning Boosts plant efficiency and reliability Offered as standalone membranes or complete systems Environment, Clean Air & Water, Filter Membrane & Absorption Material

The widespread adoption of CO₂ capture has been constrained by three major barriers: bulky and costly equipment footprints, the high energy demand of solvent regeneration, and overall cost inefficiencies that render conventional systems commercially unattractive. These challenges are especially acute in space- and utility-constrained environments such as offshore platforms, marine vessels, and brownfield industrial facilities, where compact, efficient solutions are essential.  The proposed technology is a compact, high-efficiency CO₂ capture process that integrates first-generation solvent absorption with second-generation membrane separation in a single intensified system. In this design, CO₂ transfers from flue gas through a membrane and is absorbed into a solvent within the same modular unit. By eliminating the need for gas compression required in stand-alone membrane systems, the process operates effectively at normal flue gas pressures of around one bar. The membrane barrier further prevents direct gas–liquid contact, reducing solvent degradation from impurities and extending solvent life.  This hybrid approach delivers 25–40% lower capture costs compared to conventional systems, offering both CAPEX and OPEX savings. Its compact footprint enables deployment in space-limited sites, including offshore and marine applications. Moreover, the system produces high-purity CO₂ suitable for industrial and food-grade markets, opening new revenue streams and enhancing economic viability.  The technology owner seeks collaboration with companies aiming to reduce CO₂ emissions, research organisations, and EPC firms through R&D partnerships, licensing, and test-bedding opportunities.  The technology is a modular CO₂ capture system that integrates solvent absorption and membrane separation into a single intensified unit. It consists of: Membrane modules: Enabling selective CO₂ transfer from flue gas into the solvent without direct gas–liquid contact. Chemical solvent system: Chosen for high CO₂ selectivity and stability at regeneration temperatures. Low-temperature, low-pressure regeneration unit: Designed to operate on waste steam or low-grade heat to minimise energy consumption. Compact and integrated auxiliary systems: Lower number of auxiliary equipment like pumps, heat exchangers reduces overall footprint and simplify operation.  This integrated design reduces CAPEX and OPEX including solvent degradation, reduces steam consumption, and delivers high-purity CO₂ in a footprint significantly smaller than conventional systems. Our breakthrough technology captures CO₂ efficiently and cost-effectively from flue gases with CO₂ concentrations above 3%. Designed for real-world impact, it reduces emissions for: Power Generation: Gas turbine and coal-fired plants Hard-to-Abate Industries: Steel, cement, refineries, ammonia production Offshore & Marine: Oil and gas platforms, FPSOs, and ships Renewable Combustion: Biomass and biogas facilities Industrial Sites Without Steam Access: Biogas upgrading, diesel generators, and more With a modular, compact design and low capital cost, it’s ideal for both retrofit (brownfield) and new-build (greenfield) projects. Beyond cutting emissions, the system produces high-purity CO₂ suitable for industrial or food-grade markets with minimal further processing — providing a potential revenue opportunity. This technology is the first step in achieving the emission reduction targets. According to the Intergovernmental Panel on Climate Change (IPCC), meeting the 1.5°C climate goal will require the removal of approximately 6 billion tonnes of CO₂ annually by 2050. McKinsey & Company estimates that achieving net zero will require global CO₂ capture capacity to grow over 100 times. This represents a market opportunity of US$175 billion per year in CCUS investment by 2035, with a cumulative US$3.5 trillion required by 2050. Around 60% of this investment will be on CO₂ capture, directly aligning with our technology’s capabilities. Membrane/solvent hybrid capture: Unlike conventional solvent systems, where gas and liquid are in direct contact (leading to solvent degradation from flue gas impurities), our process keeps the phases separated by a membrane wall. This minimises solvent degradation and extends solvent life. Low-temperature, low-pressure regeneration: The process operates at low temperature and pressure and can utilise waste steam. This reduces steam consumption, energy use, and OPEX. Low-temperature operation also keeps the solvent below its thermal degradation point, further lowering solvent loss. Compact, modular design: Major equipment is compact, with fewer auxiliary systems required. This reduces CAPEX and plant footprint, making it ideal for space-constrained or offshore applications. Operational reliability: The design avoids common problems in conventional solvent systems such as channelling and flooding, improving process stability and uptime. Compactness, modularity, low temperature/low-pressure operation, and lower OPEX and CAPEX collectively deliver a significant reduction in the cost of CO₂ abatement while improving operational reliability and deployment flexibility. Sustainability, Sustainable Living, Low Carbon Economy

Traditional membrane technologies used in the food industry (e.g., diatomaceous earth or plate-and-frame systems) often face limitations such as significant waste, limited reusability, inconsistent quality, and labor-intensive maintenance. This advanced food-grade membrane technology overcomes these challenges by utilising hollow fibre filtration systems engineered for high flux, strong chemical resistance and long operational life. As a next-generation food filtration membrane solution, it enables precise separation, clarification, and concentration of food and beverage products while eliminating the need for filter aids and significantly reducing water, energy, and waste usage. Fully compatible with clean-in-place (CIP) systems, the technology supports automated, hygienic, and sustainable production workflows. Designed as a versatile food filtration membrane option, its adaptability across various applications – including beer clarification, soy sauce concentration, dairy processing, and plant extract purification – makes it a scalable solution that aligns with industry demand for efficient, low-waste, and high-quality food processing. These advanced food-grade hollow fibre membranes are designed for efficient, high-performance filtration across various food and beverage applications. Featuring robust polyethersulfone (PES) or polyvinylidene fluoride (PVDF) materials, the membranes are resistant to harsh cleaning chemicals and support clean-in-place (CIP) processes, significantly reducing maintenance downtime. Key specifications include: Pore sizes: Microfiltration (MF) 0.1–0.5 μm and Ultrafiltration (UF) 5–100 kDa High flux rates up to 80 LMH depending on feed characteristics Operating temperature range: 5°C to 80°C pH tolerance: 2–14 (short-term up to 13) Compatible with high-salinity and protein-rich feeds Pressure rating: up to 4 bar (60 psi) Breweries seeking sustainable and efficient beer clarification systems Soy sauce and condiment manufacturers needing salt-tolerant concentration systems Juice and plant extract producers looking for clear, pure outputs Dairy processors requiring high-performance separation for proteins or lactose Food manufacturers aiming to meet stricter hygiene and sustainability standards Plant-based proteins production aiming  for precise separation and concentration of proteins without the need for filter aids, thereby reducing waste and improving yield Zero waste Zero liquid discharge Only multiple use polymeric membranes that can be CIP ed in process Reduces OPEX costs Improves plant efficiency Provide membrane and complete systems Food, Oil Filtration, High Suspended Solids, Emulsified Oil, High Performance Membrane Systems Environment, Clean Air & Water, Filter Membrane & Absorption Material, Foods, Quality & Safety, Processes

Reconfigurable meta-surfaces have emerged as a game-changing technology for next-generation wireless networks. Unlike traditional phased-array antennas, meta-surfaces manipulate electromagnetic waves through sub-wavelength elements to steer, focus, and reflect signals with very low power consumption. This technology aims to address the critical issue of unsatisfactory outdoor-to-indoor reception quality in 5G networks. To tackle this challenge, a brand-new smart wireless repeater featuring power-active, high-selectivity, and low-cost characteristics has been developed. It is capable of redirecting and focusing outdoor 5G signals into buildings or basement car parks, thereby enhancing signal coverage, enabling high-quality outdoor-to-indoor 5G communications. Global meta-surface hardware revenue was approximately US$1.2 billion in 2024 and is projected to exceed US$6 billion by 2033, with annual growth rates above 23.5%. However, commercial products remain limited. Current solutions are either passive, offering limited control over frequency and angle, or active but bulky and energy-hungry. There is a clear need for high-selectivity, active reconfigurable meta-surfaces that can amplify and direct specific bands or angles for demanding users, alongside passive, low-cost meta-surfaces for power-constrained scenarios. By combining active gain with high selectivity and offering a complementary passive product line, this technology can deliver differentiated value and capture multiple segments of the growing meta-surface market.  The technology provider is seeking collaborators among telcos, building owners or facility managers, and communications equipment vendors. Reconfigurable meta-surface can guide electromagnetic waves to designated indoor zones by shaping their wavefronts, which is suitable for complex and infrastructure-constrained scenarios. However, traditional Reconfigurable Intelligent Surfaces (RISs) typically suffer from two key limitations: (i) signal attenuation resulting from inherent losses introduced by active components and control circuit, and (ii) broadband low-selectivity frequency response, which leads to undesired interaction with adjacent frequencies, thereby degrading signal-to-noise ratio (SNR) and reducing channel capacity. A novel meta-surface architecture has been proposed that integrates high-selectivity frequency/angle response with signal amplification, featuring: Signal-amplified beam steering – Integrated Power Amplifiers (PAs) enable the RIS to redirect weak 5G signals with enhanced amplitude, compensating for losses caused by propagation and control circuitry. High-selectivity frequency response – High-selectivity resonators restrict the RIS’s frequency response to match only the target 5G band, suppressing out-of-band signals and noise, minimizing interference from adjacent channels, and improving channel capacity. Joint frequency–direction beam control – By combining frequency reconfigurability and phase coding, the RIS achieves synchronized control over both beam direction and frequency filtering. Low-power, regulation-compliant deployment – With milliwatt-level power consumption (or even zero power) and a compact, surface-mounted design, the RIS system can be flexibly installed in any building. These capabilities fill a critical gap in current wireless infrastructure deployment strategies and unlock substantial engineering, societal, and commercial value. Major communication service providers, as well as households seeking to enhance communication quality, can become potential users. Mobile network operators (MNOs), enterprises (e.g., smart factories, warehouses), automotive radar suppliers, satellite service providers, and IoT solution integrators are primary target markets. Secondary segments include defense/aerospace for stealth or conformal antennas, and healthcare for low-power connectivity. Collaboration is planned with a competitive local exchange carrier, who expressed interest in testing RIS panels for indoor 5G coverage. A prototype will be provided by the technology provider, demonstrating >20 dB reflection gain and remote configurability. Enhancing wireless signal coverage in basements is another key application scenario, particularly for enabling reliable mobile payment of parking and charging fees. In such cases, the demand for high-quality communication is especially urgent. Consequently, electric vehicle manufacturers also represent a potential user group. Market Size & Growth: Verified Market Reports values the global RIS hardware market at US$1.2 billion in 2024, expecting it to reach US$6.5 billion by 2033, with a CAGR of 23.5%. Reports by Market Research Intellect project a similar trajectory, estimating US$1.5 billion in 2024 and US$7.8 billion by 2031. The metamaterial antenna market is also growing, from US$1.2 billion in 2024 to US$3.5 billion by 2033. 5G and emerging 6G networks require energy-efficient beam steering to overcome millimeter-wave losses. Smart cities, autonomous vehicles, and Industry 4.0 applications demand adaptive surfaces for connectivity and sensing. Regulatory bodies such as ETSI are developing RIS standards. Self-assembly and nanoimprint manufacturing are maturing, promising large-area, low-cost production. Impact on Industry Needs: Active RIS offer enhanced coverage, capacity, and reliability for MNOs and enterprises, reducing the number of base stations and lowering energy consumption. Passive versions extend connectivity to devices and locations without a power supply. Combined, they enable green communications and support new services (e.g., indoor navigation, integrated sensing & communication). Production Costs & Adoption: Passive RIS costs are estimated at SGD 100–200 per square metre, while active RIS, including amplifiers, may cost SGD 800–1,000 per square metre. Adoption costs include integration into existing networks and software upgrades but avoid the need for expensive phased arrays or additional base stations. The return on investment comes from energy savings and improved service quality. High-Selectivity Active RIS: Each unit cell combines a tunable resonator with a power amplifier and digital control, enabling continuous 0–360° phase control, frequency band filtering, and adjustable gain. An embedded AI controller optimizes patterns in real time for specific user beams and frequency channels. Passive/Low-Cost Meta-Surface: Utilizes PCB fabrication or 3D printing technologies; panels require no external power. Large-area fabrication via self-assembly reduces cost while maintaining >90% reflection efficiency. Meta-Surface, Signal Coverage Gaps, Wireless Communication, High‑Selectivity, Power-Active Materials, Composites, Electronics, Printed Electronics, Infocomm, Wireless Technology, Smart Cities

Ready-mix concrete suppliers, precasters, and cement manufacturers are increasingly seeking sustainable alternatives to traditional cement due to the material’s significant carbon footprint. Cement alone contributes to approximately 8% of global CO2 emission. This innovation focuses on developing a low-carbon, cost-effective concrete by incorporating spent graphite, GGBS (Ground Granulated Blast-furnace Slag), and manufactured sand (M-sand)—all of which are by-products or waste materials, positioning it as a leading sustainable green concrete solution for the industry. Spent graphite (supplied from used electric vehicle (EV) batteries) Ground Granulated Blast-furnace (GGBS - supplied from iron and steel production) Manufactured Sand (supplied by crushed granite, which is a more sustainable alternative to natural river sand) This innovation delivers an optimal concrete mix that achieves the ideal balance of performance, cost efficiency, and environmental sustainability. Rigorously tested to meet Singapore’s building standards, the formulation is specifically engineered for the nation’s climate, durability demands, and construction norms—ensuring reliable performance while advancing sustainable green concrete adoption in the built environment. The technology owner is seeking collaboration with ready-mix concrete suppliers, precast manufacturers, and cement producers for R&D collaboration and test-bedding. The technical advantages over similar existing methods are: Cost-efficient performance upgrade – Achieves cost reduction for Grade 30 concrete while improving key material properties such as strength and durability. Low-carbon formulation – Incorporates spent graphite, GGBS, and manufactured sand to significantly lower embodied carbon while enhancing mechanical and durability characteristics. Optimised for demanding applications – Mixes can be tailored for large pours, delivering enhanced long-term strength and durability through GGBS integration. Customisable to project needs – Concrete mix designs can be adjusted to meet specific workability ranges, cost targets, carbon reduction goals, and performance requirements across various use cases. Cement industry as a cementitious replacement material to reduce the product carbon footprint Concrete industry for cement replacement Precast construction industry Contractors using site mortar mix for precast and concrete joint applications Significant CO₂ reduction – Lowers A1–A3 (cradle-to-gate) CO₂ emissions by up to 55%, supporting decarbonisation goals. High cost savings – Achieves up to 66% cost reduction compared to conventional concrete. Use of alternative materials – Incorporates three sustainable by-products: Spent graphite from used EV batteries GGBS from steel production Manufactured sand from crushed granite Versatile formulation – Materials can be used individually or together to customise mixes for different performance, cost, and sustainability targets. Sustainable materials, green concrete, construction technology, low carbon, waste recycling Waste Management & Recycling, Industrial Waste Management

A next-generation, fully synthetic keratoprosthesis (KPro) has been developed to address severe corneal blindness in patients unsuitable for conventional corneal transplantation or existing KPros. Traditional osteo-odonto-keratoprosthesis (OOKP, “tooth-in-eye”) remains effective but is surgically complex, costly, and requires removal of a healthy tooth. This innovation replaces autologous tissue with a 3D-printed Ti6Al4V titanium lattice skirt engineered for optimal biointegration, paired with a polymethylmethacrylate (PMMA) optical cylinder secured by a proprietary mechanical locking system. The device is off-the-shelf, sterilised, and designed for single-stage implantation beneath a buccal mucosa graft, significantly reducing patient burden and simplifying logistics. Preclinical rabbit studies demonstrated excellent biocompatibility and stable tissue integration. The procedure eliminates the need for dental/maxillofacial surgeons and long waiting periods, making it particularly valuable in low-resource settings. The ideal partners for this technology include medical device companies specialising in ophthalmology or surgical implants, contract manufacturers with ISO 13485 certification, and 3D printing companies experienced in producing medical-grade titanium components. Collaboration with such partners will support further development, regulatory approval, and commercial scaling of this next-generation keratoprosthesis for global deployment. 3D-Printed Ti6Al4V Titanium Skirt Porous lattice design for fibrovascular ingrowth and secure ocular fixation. PMMA Optical Cylinder High-clarity visual channel with a proprietary locking mechanism—no adhesives required. Surgical Advantages One-stage procedure, no tooth harvesting, reduced operative time, and improved reproducibility. Manufacturing & Deployment Additive manufacturing enables consistent quality and scalability. Supplied sterilised and ready for implantation. Primary Use: Treatment of severe corneal blindness due to multiple graft failures, trachoma, chemical burns, cicatricial conjunctivitis, and ocular graft-versus-host disease Replacement For: OOKP, Boston KPro Type II, and MICOF devices in patients with poor dental health or limited donor cornea availability. Cross-Disciplinary Potential: Platform technology for other 3D-printed implants in orthopaedics and craniofacial reconstruction. First fully synthetic KPro designed to replace OOKP. Eliminates need for donor or autologous tissue, avoiding tooth resorption and immune rejection risks. Single-stage surgery reduces patient morbidity, cost, and recovery time. High reproducibility and global accessibility through additive manufacturing. Off-the-shelf availability supports rapid deployment, including in resource-limited settings. This innovation offers a synthetic, cost-effective, accessible alternative optimised for extreme ocular surface disease. Medical device, End-stage corneal blindness, Keratoprosthesis, 3D Printing, Titanium alloy, OOKP Healthcare, Medical Devices

Effective tracking and management of Work-In-Progress (WIP) and inventory across a manufacturing facility are key to maintaining productivity and operational efficiency. Despite this, misplaced inventory and inefficient tracking remain common problems within the sector, leading to time wasted on locating items, losses due to unaccounted inventory, and ultimately, a reduction in productivity.  To tackle these challenges, an innovative solution has been developed that integrates advanced technologies, sophisticated hardware, and robust software features to optimize manufacturing operations. This solution provides real-time traceability of WIP and inventory throughout a factory, thereby reducing time wasted in locating items and preventing losses due to unaccounted inventory.  The solution seamlessly integrates with various systems including Manufacturing Execution Systems (MES), Preventive Maintenance (PM) systems, and Enterprise Resource Planning (ERP) systems. This integration capability allows it to trigger alerts, visualize processes, and reduce waste, thereby streamlining operations and minimizing inefficiencies.  The track and trace solution are an amalgamation of sophisticated state of the art hardware and software components – Hardware: Custom made racks and retrofits. LF/HF/UHF RFID for tagging and tracking. Barcode scanners for identification. Pick-to-Light systems for order picking. Weight sensors for inventory measurement. AI driven video analysis for surveillance and tracking. Software: Work in progress (WIP) tracking. Inventory management. Preventive maintenance (PM) material tracking. In line material ordering. Data analytics. The ideal collaboration partners for this solution would be manufacturing firms looking to optimize their operations, manufacturing execution system (MES) providers for system integration, hardware manufacturers for creating customized racks and hardware components, and technology companies focusing on RFID, AI, and data analytics. These partners would collectively contribute to the development, implementation, and continual enhancement of the track and trace solution. The track and trace solution has wide applicability across a multitude of manufacturing industries where tracking and managing of tools, parts, and Work-In-Progress (WIP) items is crucial. Key industries include semiconductor manufacturing, automotive production, aerospace manufacturing, and other large-scale industrial setups. In semiconductor manufacturing, it can be used to monitor the movement of sensitive materials like wafers and reticle masks. For the automotive and aerospace industries, it could be used to track the assembly of complex components, ensuring that all parts are accounted for and in the correct location. The system's flexibility allows it to be applied on both large and small scales, catering to a vast range of operational needs. Its potential applications aren't limited to the tracking of physical items; the data it gathers can also be used for predictive analytics, proactive replenishment of inventory, and enhanced forecasting, among others. Consequently, products that can be marketed based on this technology range from inventory management systems and predictive maintenance solutions to data analytics software. The complexity of manufacturing processes continues to rise, fuelling the need for innovative and advanced tracking and traceability solutions. The increasing emphasis on lean manufacturing, cost-cutting, and waste reduction are some of the driving forces behind this demand. Given these factors, the global market for such solutions is on an upward trajectory. As industries become more technologically reliant and digitized, the emphasis on precise, real-time tracking and traceability will only amplify. The market size, already sizable, is projected to witness substantial growth in the coming decade. This technology is particularly attractive to the market due to its multi-faceted benefits - it does not merely track and trace, but also integrates with existing systems, enhances forecasting, and significantly improves operational efficiency. It's robust set of features and the capability to address multiple pain points make it an appealing choice for businesses across the manufacturing sector. The track and trace solution provides a significant advancement over the current "State-of-the-Art". While traditional systems offer tracking and traceability, they often fall short when it comes to real-time data, seamless integration with existing systems, and the use of advanced technologies. This solution addresses these gaps by providing real-time tracking and traceability across the entire manufacturing process. This significantly reduces waste, enhances productivity, and improves operational efficiency.  In addition to superior tracking, this solution incorporates technologies like RFID and AI-based Video Analytics, providing unprecedented levels of precision and data insights. This also facilitates enhanced forecasting and inventory management capabilities, enabling businesses to better predict and meet their needs. The solution seamlessly integrates with existing Manufacturing Execution Systems (MES), Preventive Maintenance (PM) systems, and Enterprise Resource Planning (ERP) systems. This feature ensures that businesses can implement the solution without significant disruption and harness their current platforms to achieve better efficiency. Equipment, WIP, Material Control Infocomm, Video/Image Analysis & Computer Vision, Manufacturing, Assembly, Automation & Robotics, Robotics & Automation, Logistics, Inventory Management

Conventional computing environments often struggle with solving complex, computationally intensive problems, particularly in the realm of combinatorial optimisation. Quantum computing was developed to address these challenges by enabling the simultaneous exploration of multiple solution paths. However, full-scale quantum computing remains prohibitively expensive and technically challenging to implement. This technology presents a quantum-inspired alternative that leverages high-speed computing based on FPGA (Field-Programmable Gate Array) architecture. It enables parallel exploration of multiple potential solutions—without relying on the principles of quantum mechanics. By integrating an FPGA board preloaded with a custom optimisation algorithm (implemented in firmware and/or software) into a standard desktop PC, users can efficiently tackle complex optimisation problems using conventional IT infrastructure. Combinatorial optimisation involves identifying the optimal combination of variables that maximises or minimises a particular objective function under a set of constraints. This platform enables practical and scalable solutions across a wide range of applications, offering quantum-like performance without the operational burdens of quantum computing. The technology provider’s ideal collaboration partners include systems integrators to co-develop solutions and Institutes of Higher Learning (IHLs) to advance research in key application areas such as logistics and shipping, transportation operations, smart city initiatives, and industrial automation and operations research. The technology combined hardware (FPGA board) with embedded firmware and host software—that implements quantum inspired optimisation using classical algorithms. It occupies a niche between specialised hardware and middleware/software, enabling fast combinatorial optimisation without requiring full-scale quantum computers. The technology offers several key advantages: Operates on general-purpose desktop PCs—eliminating the need for specialized environments or significant capital investment. Performs all computations/ calculations locally, without requiring a network connection—removing concerns about network load, latency, or data privacy. Utilises the QUBO (Quadratic Unconstrained Binary Optimization) format, allowing reuse of existing design assets and optimization models Achieves high-speed performance comparable to quantum-like solution searches, enabled by FPGA-based hardware acceleration. The platform is ideal for solving combinatorial optimization problems, where the number of potential combinations grows exponentially and quickly becomes intractable for traditional algorithms. Real-world applications include: Traffic Congestion Management (Vehicle Routing Problem – VRP) Optimizes delivery routes and scheduling for logistics operations—reducing travel time and operational costs while meeting maintenance, labor, and routing constraints. Optimized Cargo Loading and Sequencing (Logistic): Determines the most efficient method to load goods of varying sizes, weights, and destinations—maximizing vehicle utilization and minimizing fleet requirements. Optimized Visiting Order for Time and Cost Savings (Travelling): Finds the shortest route to visit multiple locations and return to the starting point—reducing travel distance, time, and fuel consumption. Personnel Assignment Optimization (Shift Scheduling): Optimizes staff schedules in sectors such as retail and healthcare—ensuring adequate staffing while accommodating employee preferences and complying with labor regulations. Aircraft or Crew Scheduling (Airlines and Transport): Determines optimal aircraft or crew assignments while adhering to constraints such as maintenance windows, labor regulations, and flight coverage—reducing costs and improving operational reliability.                                                                                                                                                           Operating Room and Equipment Scheduling (Healthcare): Coordinates operating room use, equipment, and personnel to maximize efficiency, reduce patient wait times, and avoid scheduling conflicts. Other applications span telecom and IT, energy and smart grids, port logistics, car sharing, and more—enhancing operational efficiency and productivity. In the current landscape, while gate-model quantum computers remain focused on achieving technological breakthroughs for fundamental research and large-scale problem-solving, this high-speed combinatorial optimisation platform offers a significant advantage as a realistic and practical solution—efficiently and reliably addressing specific optimisation problems using classical computing infrastructure.   Quantum Annealing, FPGA (Field-Programmable Gate Array) Infocomm, High Performance Computing, Quantum Computing

Global plastic production now exceeds 350 million tonnes per year, yet less than 15% is recycled. At the same time, regulators and end-users across automotive, electronics, packaging and infrastructure sectors are demanding higher-quality recycled materials and longer service time for plastic-based products. Traditional evaluation methods—relying on elapsed time or destructive testing—cannot accurately capture the complex, use-dependent degradation patterns of plastic materials caused by varying usage environments and environmental stresses. To bridge this gap, the technology owner has developed a novel non-destructive diagnostic platform that combines wide-band optical spectroscopy with a proprietary AI deterioration-diagnosis engine, which is trained on accelerated-aging protocols and real-world usage histories. In just minutes, and without damaging samples or interrupting production, the system delivers high-precision assessment of plastic degradation levels, remaining-life prediction, and key material property characterization. This rapid, on-site solution provides critical insights for recycling, refurbishment and preventive maintenance—driving down costs through extended, reliable plastic use and contributes meaningfully to sustainability goals and circular economy initiatives. The technology owner is seeking industrial & business partners in plastic recycling, consumer electronics refurbishment, recycled-plastic manufacturing, and infrastructure maintenance to pilot and co-develop real-world applications. Accelerated-Testing Know-How for AI Training Proprietary protocols reproduce a wide range of plastics & deterioration states Generates high-fidelity spectral and physical-property datasets for AI model training Advanced Lifetime-Prediction Models Integrates actual plastic usage data (thermal, fatigue, creep) into theoretical formular for lifespan prediction Achieve high accuracy in predicting remaining plastic lifetime under real-life conditions AI-Based Model Selection Algorithm Extracts plastic type, degradation stress and environmental conditions directly from optical spectra data Dynamically assigns the optimal AI model to accurate lifetime prediction Hyperspectral Imaging Platform Wide-band camera captures molecular-scale structural changes Produces quantitative “health maps” that visualize the distribution of degradation This diagnostic solution can be deployed across various industries and use-cases: Recycling: Sorting and grading of post-consumer and industrial plastic waste to improve recycled-plastic quality Refurbishment: Inspecting and qualifying plastic components during repair or reuse processes Infrastructure Preventive Maintenance: Condition assessment of plastic-based assets such as enclosures, tanks, and pipings Manufacturing Quality Control: In-line or post-production quality assurance of plastic components Customer can reduce inspection time, minimize unnecessary part replacements, and extend service life. It leads to maintaining global competitiveness and creating environmental value. Rapid, Non-Destructive Diagnostics: On-site and damage-free evaluation within minutes—no sampling, no downtime Scalable to Multiple Materials: Designed for plastics today, with planned extensions to metals and wood in future Quantitative Degradation Mapping: Visual health maps pinpoint both overall and localised deterioration Actionable Lifetime Predictions: Outputs include strength and color‐change metrics as well as residual life estimates Resin, Lifetime, Material Properties, Deterioration, Long-term use of products, Recycled resin, AI model, Optical spectrum, Deterioration diagnosis, Non-destructive testing, Prediction, Refurbishment, Maintenance, Diagnosis Materials, Plastics & Elastomers, Infocomm, Artificial Intelligence, Chemicals, Polymers, Waste Management & Recycling, Industrial Waste Management, Sustainability, Circular Economy