TECH OFFERS

Coronary artery disease (CAD) is the leading cause of death worldwide. Computed Tomography Coronary Angiography (CTCA), as a non-invasive alternative to invasive catheterized coronary angiography, has emerged as a recommended first-line investigation for CAD. However, the current practice of generating reports involves a time-intensive process, with CT specialists spending 3-6 hours annotating scans. Furthermore, there is a lack of effective tools for analysing coronary calcium scores, stenosis severity, and plaque characterization. This AI driven platform is for CT data processing that provides a streamlined 'one-stop' solution spanning from diagnosis to clinical management and prognosis. Its key features include: AI-driven platform for CTCA, catering to clinical, research, and industrial applications. Large, shareable, de-identified, Personal Data Protection Act-compliant real-world CT data. Precision toolkits for anonymization, coronary calcium scoring, epicardial adipose tissue (EAT), stenosis severity assessment, plaque quantification, CT fractional flow reserve (FFR), and reporting. The platform’s highly automated features assist physicians in interpreting and synthesizing large volumes of CT data, while minimizing bias, increasing reproducibility, and providing numerical insights in a graphical manner. It offers a comprehensive ‘one-stop’ solution for diagnosis and clinical management of CAD. Seamless integration: The DICOM-compliant parser ensures compatibility with diverse CT scanners without interfering with hospitals’ original workflow processes. AI-driven workflow: It supports fully automated analysis, including deep learning-based segmentation of the coronary artery tree, extraction of artery centrelines, tracking and acquisition of cross-section lumen images, artery labelling, stenosis and plaque detection, and quantification with high accuracy within minutes.  Comprehensive modules for CAD assessment: The technology offers a comprehensive assessment of coronary calcium score, EAT, stenosis, and plaque phonotypes. Mixed Asian registry database: It houses a vast repository of multi-ethnic imaging and non-imaging data, serving as a valuable resource for research and analysis. Annotation by SCCT-certified experts: All annotations are performed and quality-checked by experts certified by the Society of Cardiovascular Computed Tomography (SCCT). Secure and reliable data platform: The data platform is certified by the Ministry of Health Singapore, ensuring the safety and reliability of data access. The technology can be applied across various industries: Software as a clinical service for healthcare institutions: It provides comprehensive CAD assessment and personalized treatment as a software-as-a-service (SaaS) solution for healthcare institutions. Pharmaceuticals: It enables objective and quantitative measurement of the effectiveness of treatments. MedTech and digital health industry: By harnessing state-of-the-art technology and big data capabilities, it provides the development of customized foreground intellectual property, addressing the specific needs of individual companies. Local MedTech industry development: It offers tailored solutions designed specifically for small and medium-sized enterprises (SMEs) and startups, empowering them to compete globally, foster innovation in product development and services that align with market demands, and enhance patient care. It provides a thorough evaluation of the coronary arteries using deep learning algorithms and patented post-processing technologies. It serves as a ‘one stop’ platform that spans from diagnosis to clinical management and prognosis, and aiding in predicting therapy response in the pharmaceutical industry. Superior diagnostic performance: The AI toolkits deliver exceptional accuracy, surpassing 90%, while processing the data within minutes. This remarkable speed is 20 times faster than the standard diagnostic and reporting process, enabling efficient and timely decision-making. Unparalleled big data repository: The platform houses the largest mixed Asian CAD registry, comprising 5,000 patients (n=3 million images). This vast collection contains a wealth of real-world imaging and non-imaging data, representing a unique and invaluable resource that is unmatched elsewhere. Trusted ground truth: Every CT scan has been meticulously annotated and quality-checked by SCCT-certified experts. This rigorous process ensures the accuracy and reliability of the data, establishing a safe and dependable foundation for clinical decision-making. Healthcare, Telehealth, Medical Software & Imaging

Radiation therapy is a cornerstone of clinical cancer treatment. However, high doses often result in unavoidable damage to healthy tissues, as well as tumour resistance and metastasis, which limit its broader clinical application. Clinical imaging techniques have limitations in detecting very small tumours (< 5 mm) located deep within tissues, hindering early diagnosis and timely medical intervention. This technology introduces a next-generation theranostic platform for cancer imaging and therapy based on Organic Radio-Afterglow Nanoprobes (RANPs) designed for ultrasensitive deep-tissue cancer imaging with long afterglow signals and biomarker activation, enabling early detection and surgical precision/treatment. RANPs integrate three functional components: Radioabsorber – converts X-ray energy into radioluminescence. Radiosensitizer – activated by radioluminescence to generate singlet oxygen (1O2). Radioafterglow substrate – reacts with 1O2 to form intermediates that emit persistent afterglow. This platform also introduces a tumour-specific biomarker-activatable nanoprobe (tRANP) that allows for highly specific tumour detection and potential surgical removal of minute tumours (as small as 1 mm³) at an X-ray dose comparable to a single CT scan. The highly reactive oxygen species (1O2) generated from low-dose X-ray irradiation enables Radiodynamic Therapy (RDT) that can eradicate tumours and reduce metastasis demonstrating its potential for cancer treatment. This technology poses a strong fit to address personalized medicine. The technology owner is seeking to collaborate with Clinical and medical partners specializing in early detection, surgical and radiation oncology. Partners with experience translating nanomedicine or theranostic agents into clinical trials. Companies working on nanoparticle radiosensitizers, imaging agents, or radiotherapy platforms. Cascade X-ray energy transfer by organic molecules: By fine-tuning radioluminescence and 1O2 transfer among key nanoparticle components, this technology first demonstrated the mechanism of efficient conversion of X-ray energy into optical afterglow signals and 1O2 generation, enabling tumour theranostics in murine models.   Modular and customizable design: The modular composition and well-defined mechanism of RANPs allow the loading of various optical agents, enabling tunable emission wavelengths, radio afterglow brightness, and ROS generation efficiency to meet different cancer theranostic needs. Ultrasensitive cancer detection at incipient stage: Imaging and surgical removal of tiny tumours (below 1 mm³) can be achieved at an X-ray dose comparable to a clinical CT scan (mGy level) and 20 times lower than that required for inorganic materials. Precision cancer therapy with minimal X-ray dosages: The efficient radiodynamic 1O2 generation by tRANPs enables complete tumour eradication at X-ray doses lower than clinical radiotherapy and with drug doses one to two orders of magnitude lower than those required for most inorganic agents, thereby prolonging survival while minimizing radiation-related side effects. Oncology Diagnostics: Addresses the unmet need for early-stage tumour detection, especially in deep-seated tissues where existing imaging (MRI, CT, PET) has limitations. RANPs can be tailored to respond to specific disease biomarkers, facilitating the detection of other cancers and diseases (e.g., infectious diseases, diabetes). Tumour Staging: RANP signals correlate with increasing biomarker levels and tumour size. Cancer Therapeutics: Provides a safer, more effective alternative or complement to radiation therapy by lowering dosage and enhancing treatment outcomes. Due to their high X-ray sensitivity, RANPs can generate ROS for Radiodynamic Therapy (RDT) of cancer and potentially infectious diseases at any tissue depth reachable by X-rays, delivering precise and safe treatment of deep-seated diseases at a minimal dosage. Surgical Applications: Enables real-time intraoperative guidance for precise tumour removal and reduces recurrence rates. Bimodal Imaging Probes: The similarity in X-ray settings of computed tomography scanners and RANPs allows for the simultaneous acquisition of both anatomical and molecular information of diseases in a single computed tomography scan. Combined with whole-body CT scanning, low-dose X-rays can activate RANPs that have accumulated in potential metastatic sites, assisting in metastasis screening. Dual-Functionality Theranostics: This study developed an integrated organic nanoplatform for simultaneous cancer diagnosis and therapy. By adjusting the radiation dose from mGy to Gy levels, it enables rapid switching between imaging and treatment, achieving both imaging and therapy after a single injection of a single probe.   Minimized Side Effects: In contrast to traditional radiotherapy, which typically requires prolonged treatment cycles, high radiation doses, and causes notable side effects, RANP-mediated tumour therapy operates at radiation doses ~10 times lower than conventional radiotherapy, reducing collateral damage to healthy tissues and demonstrating substantial clinical potential, especially for X-ray-sensitive organs (e.g., liver). Tumour-Specific Targeting: RANPs offer exceptional sensitivity for tumour detection, capable of identifying tumours as small as 1 mm³— a level of precision that many current clinical imaging modalities cannot reach. When combined with standard hospital CT scanners, this technology can significantly enhance diagnostic sensitivity and accuracy, holding great promise for early cancer screening. Persistent Signal Advantage: Long signal half-lives improve imaging resolution, reduce background noise compared to real-time fluorescence imaging, and enable functionality at tissue depths of up to 15 cm. Biocompatible: Compared to inorganic materials, which often pose challenges in metabolism and potential toxicity, the components of the organic nanoparticles in this system exhibit excellent biocompatibility and safety, and they can be efficiently metabolized and cleared from the body. Cancer, Imaging, Diagnosis, Radiotherapy, Nanomedicine Healthcare, Diagnostics, Telehealth, Medical Software & Imaging

Bioplastics have emerged as a sustainable alternative to conventional petroleum-based plastics, offering biodegradability and reduced carbon footprint. However, their use in high-performance applications remains limited because of inherent material weaknesses. A key challenge is their poor barrier properties, particularly against water vapour and gases such as oxygen and carbon dioxide. This limitation prevents bioplastics from being widely adopted in packaging applications that demand strong protective qualities, such as food products, pharmaceuticals, and sensitive electronic components. In most cases, bioplastics are restricted to low-demand items like disposable bags or cutlery, where barrier performance is not critical. This technology addresses the key challenge of poor barrier properties by introducing a plant-waste-derived additive that enhances barrier properties of bioplastics. Incorporated directly during melt processing, the additive reduces the water vapour transmission rate (WVTR), enabling bioplastics to provide effective moisture protection. Because the additive is derived from upcycling of plant waste, it reinforces the sustainability narrative while aligning with circular economy principles. This technology also functions as a drop-in solution compatible with existing manufacturing processes, allowing packaging producers to adopt the technology without costly modifications. The technology owner is interested in co-development R&D opportunities and out-licensing of the developed IP with companies developing sustainable bioplastic products with enhanced barrier properties. This technology is an eco-friendly additive that enhances barrier performance in bioplastics. Key features of this additive include: Made from recycled plant waste Improves bioplastics’ ability to block water vapour without compromising on mechanical strength (tested according to ASTM F 1249-20) Drop-in solution – no changes required to current bioplastic manufacturing process The additive has been successfully tested with PBAT to decrease its WVTR. Food packaging: Sustainable packaging with effective moisture barrier properties is ideal for products like bakery items, cereals, snacks etc, catering to diverse shelf-life requirements. Medical and pharmaceutical packaging: Bioplastics with enhanced barrier properties can be used for packaging sensitive medical devices and pharmaceuticals that require protection from moisture or oxygen. Personal care and cosmetics: Sustainable packaging solutions cater to moisture-sensitive personal care products like lotions, creams, or shampoos. Agricultural: Biodegradable mulch films with improved water vapor control for agriculture. Offers a sustainable bioplastic additive as it is derived from plant waste Improves barrier protective properties of bioplastic by 25% Seamless integration with existing bioplastic manufacturing processes Plant Waste Valorisation, Bioplastic, Packaging, plant based, barrier, additive, water vapour transmission rate, WVTR, valorisation, processing Chemicals, Additives, Waste Management & Recycling, Food & Agriculture Waste Management, Sustainability, Circular Economy

In today’s rapidly evolving business landscape, digital transformation has become a strategic imperative for companies across industries. At the core of this transformation lies Artificial Intelligence (AI)—a technology that is increasingly recognized as a key enabler of innovation, operational efficiency, and competitive advantage. However, despite its transformative potential, AI adoption remains a challenge for many organizations. High development costs, specialized expertise requirements, and complex deployment pipelines often limit AI accessibility to large enterprises with dedicated AI engineering teams. Vision-based AI models, in particular, require extensive training, fine-tuning, and maintenance. Even after initial deployment, continuous retraining are necessary to ensure consistent performance, resulting in substantial costs and resource demands. To overcome these challenges, the technology owner has developed a suite of pre-trained, customisable, and continuously learning AI models that enable rapid deployment for automated visual inspection. Delivered through a modular AI platform, the solution empowers customers to build, customise, deploy and scale AI inspection solutions cost-effectively, without requiring deep AI expertise. The AI models can process both video footage and static images from conventional camera systems, transforming them into intelligent, AI-powered inspection tools adaptable to diverse use cases. The technology is available for R&D collaboration, licensing, and test-bedding with industry partners, including system integrators, manufacturers, and inspection service providers. Automated Visual Inspection Capabilities Pre-trained, state-of-the-art vision-based AI models with high accuracy Automated report generation powered by AI Continuous learning capability to ensure high accuracy and consistent performance Rapid and customizable deployment to meet diverse inspection needs Integration with Conventional Camera Systems Converts conventional cameras into smart inspection systems Compatible with different types of cameras and applications Local deployment services to ensure data security and privacy On-premise or cloud-based deployment available Data stored locally to support continuous learning and performance optimisation Ready-to-deploy vision-based AI models for inspection and safety This technology offer comprises a suite of visual AI models applicable to various types of visual inspection tasks, including but not limited to: Building façade inspection with BCA compliance Production line inspection Safety monitoring through CCTV Construction inspection (i.e. personal safety) Interior inspection Prohibited zone and compliance checks Vehicle Speed Detection Wellbeing and behaviour recognition Cost-efficient pre-trained AI model with high accuracy Rapid deployment and scalability across multiple use cases Customisable solutions tailored to different camera systems Cloud-based or on-premises deployment for flexibility and data sovereignty Continuous learning ensures sustained accuracy and adaptability over time Accelerates digital transformation by lowering the barrier to AI adoption AI, Smart Camera, Machine Vision, Visual Inspection, Safety Monitoring, Smart Factory, Product Inspection, Blockchain, Computer Vision, Video/Image Analysis Infocomm, Video/Image Analysis & Computer Vision, Video/Image Processing, Artificial Intelligence

The global push for sustainability is driving demand for innovative solutions to reduce waste and conserve resources. While the focus has often been on synthetic materials like plastics, millions of tons of agricultural waste remain underutilized. Instead of being landfilled or incinerated, this renewable feedstock offers a major opportunity to support a circular economy and lessen dependence on virgin resources. This technology is a proprietary, chemical-free process that converts agricultural by-products into durable, eco-friendly materials. By harnessing diverse agricultural waste streams, this process yields thin plates and modular elements that can replace conventional raw materials in applications such as roofing, flooring, furniture surfaces, and wall furnishings. Designed for circularity, these materials can be broken down and reintroduced as feedstock at the end of their lifecycle, minimising waste and maximising resource efficiency. The technology owner is actively seeking R&D co-development and out-licensing of the developed IP to companies intersted in advancing sustainable materials and scaling this circular economy solution.  The technology offers an innovative approach to material science, converting diverse agricultural waste, e.g. palm fronds, coconut husk, into high-performance alternative materials through a chemical-free, direct conversion process. Key features of this process technology include: Eliminates the need for harsh chemical pre-treatments common in other bio-composite methods Produces new materials with immeasurable recyclability as a primary feedstock Offers broad feedstock versatility, creating materials of superior functional properties Adaptable to allow seamless integration into various product forms e.g., flat panels, intricate moulded components etc The technology's primary application is in the building and construction industry, where it offers a much-needed sustainable alternative to conventional materials. This versatile technology supports a wide range of products, including but not limited to: Non-structural panels - engineered panels for walls, subflooring, floor tiles, providing sustainable alternatives to traditional plywood, particle board, and plasterboard. Insulation materials - this process yields potentially effective thermal and acoustic insulation boards or loose-fill materials for walls, and floors. Interior finishings – for aesthetics and decorative purposes e.g. wall panels, floor tiles, and surface coverings. Moulded components - the technology allows for the creation of custom-moulded elements and therefore offers design flexibility. Sustainable packaging – able to develop sustainable and biodegradable packaging solutions. Other material alternatives - includes sustainable substitutes like recycled plastic lumber and pavers, broadening the scope of eco-friendly construction possibilities. Recycled plastic composite materials alternatives - create advanced composite materials by blending agricultural waste with recycled plastics, enhancing properties and opening new avenues for product development. Offers sustainable impact and circularity – transforms agricultural waste into durable, recyclable materials through a green, chemical-free process, reducing landfill waste and carbon emissions. Cost-effective and scalable – utilises abundant, low-cost feedstock to deliver competitively priced, high-quality alternatives that reduce dependence on virgin raw materials. Versatile applications – provides customizable, high-performance materials suitable for diverse building and construction uses, enhancing both design flexibility and functionality. green building, materials, sustainable, chemical free, composite, agricultural valorisation, valorisation, circular economy, sustainability, eco-friendly, building materials, recycled material Materials, Composites, Sustainability, Circular Economy

Rising energy consumption and electricity costs pose significant challenges for businesses across all sectors, from light commercial operations to heavy industries. Moreover, sustainability has become a crucial component of corporate strategy. Electrical energy optimisation is not only about cost savings but also about resource conservation, power stability, equipment protection, and long-term sustainable development. The technology owner has developed a transformer-based voltage optimisation solution to reduce energy consumption and billing costs, optimise electrical power supply, extend equipment lifespan, and lower carbon emissions. This technology allows electrical equipment to run at an optimal voltage level while keeping the current within the optimum range for best efficiency, providing an immediate and practical way to reduce consumption and delivering energy savings. Industrial Internet of Things (IIoT) is integrated within the equipment to capture data and users have 24/7 access to a cloud-based platform to monitor, evaluate and make informed decisions on their power and energy usage as well as perform carbon reporting. The technology owner is keen to collaborate with industrial partners such as building management, property owners, industrial facility management in manufacturing sectors, equipment builders, energy consultants etc. The technology is also available for licensing to OEM partners to further co-develop by integrating into building management systems (BMS) and other solutions. Key features of this solution include: High efficiency of over 99% with minimal inherent consumption and losses 6–12% reduction in power consumption and electricity bill Improve the quality of overall electrical power supply IIoT-enabled, with integrated smart sensors and cloud-based data communication Real-time remote energy monitoring, analysis, and evaluation via a 24/7 on-demand platform Compact design with a less than 0.72m2 footprint (space-saving) Easy to install Customisable capacity Low maintenance requirements The digital voltage optimisation system is applicable for both commercial and industrial applications, especially industrial sectors with energy intensive equipment like motors, heating and cooling apparatus. The potential applications include but are not limited to: Commercial buildings (hotels, shopping malls, supermarkets, office buildings, restaurants, etc) Industrial facilities (factories, warehouses, chemical plants, fabrication plants, cleanrooms, etc.) Other infrastructure (airports, hospitals, MRT train stations, sports complexes, institutes, etc.) The patented technology offers the following unique features: Delivers power metrics to a dedicated platform for monitoring and reporting Short ROI period of 18–24 months Improves overall electrical system efficiency Increases electrical equipment lifespan Reduces electrical bills without affecting operations Lowers carbon footprint towards Net-Zero target Energy efficiency, Reduce energy consumption, Lower carbon emissions, Sustainability, Voltage optimization Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Electronics, Power Management, Sustainability, Low Carbon Economy

With the rapid growth of electric vehicles, renewable energy storage, and high-power electronics, the demand for reliable battery thermal management systems (BTMS) is surging. Increasing energy densities in lithium-ion batteries intensify risks of overheating, safety hazards, and reduced lifespan, underscoring the need for advanced cooling solutions. To address these challenges, a novel fabrication technique has been developed to produce a flexible, leak-proof, thermally conductive, and electrically insulating composite. This material combines a polymer matrix, phase change material (PCM), and thermally conductive fillers. Unlike conventional approaches and passive cooling methods, the technology employs a low-temperature solvent evaporation process using styrene-butadiene-styrene (SBS), paraffin (PA), and expanded graphite (EG), resulting a thermally enhanced flexible composite phase change material (FPCM) designed for external thermal management of Li-ion batteries. This process enables improved dispersion, strong interfacial compatibility, and structural integrity while significantly reducing energy consumption during fabrication. The optimized FPCMs demonstrate enhanced thermal conductivity (up to 1.38 W/m·K), robust flexibility under mechanical deformation and excellent phase change stability. Thermal performance tests on lithium-ion batteries under various charge–discharge conditions showed up to 17 °C reductions in peak battery temperature and improved capacity retention at high C-rates. It proved the FPCM’s reliability, scalability, and energy efficiency for advanced BTMS applications, particularly in environments demanding mechanical adaptability and high safety standards. The technology is available for R&D collaboration, licensing, and test-bedding with industry partners such as battery manufacturers, suppliers, and BTMS system integrators. First-of-its-kind fabrication of flexible, leak-proof, and thermally conductive composites by integrating polymer matrices, PCMs, and thermal conductive fillers Solvent-based mixing and evaporation process ensures uniform component dispersion, optimized thermal conductivity, and electrical insulation properties Encapsulation of PCMs within flexible polymer matrix with thermally conductive fillers, achieve leak-proof functionality even during phase transitions Scalable method to produce thin-film composites with superior thermal performance, durability, and flexibility, offering a versatile thermal management solution The technology can be applied to a wide range of thermal management systems, including: Energy storage and Li-ion battery cooling for electric vehicles (EVs) and hybrid vehicles High-power semiconductor devices (e.g. motor controllers, motor housings, power electronics) Consumer electronics and avionics requiring compact, safe thermal solutions Data centres for high-performance / AI servers Fuel cells and other advanced energy systems requiring indirect cooling methods Developing PCMs that are simultaneously leak-proof, flexible, and highly thermally conductive has long been a challenge. Conventional approaches typically focus on either encapsulation to prevent leakage or additives to improve conductivity but seldom succeed in combining both in one system. This innovation addresses the gap by delivering: Leak-proof encapsulation within a flexible polymer matrix, maintaining structural integrity during phase transitions and under mechanical stress Improved thermal conductivity gradients vis thermally conductive fillers, overcoming the inherent low conductivity of PCMs A unique combination of flexibility, leakage prevention, and high thermal efficiency, making it ideal for demanding applications Li-ion batteries, Battery thermal management, Flexible Phase change materials, External thermoregulation, Passive cooling Materials, Composites, Energy, Battery & SuperCapacitor, Electronics, Power Management

Enterprises today face mounting challenges from legacy systems, fragmented data silos, and complex integration issues that slow down digital and AI initiatives. This AI-powered automation platform transforms integration from a technical bottleneck into a strategic accelerator, enabling organizations to unlock trapped data assets worth billions. By automating up to 70% of manual coding, the platform accelerates processing speeds by up to 10x while reducing operational costs. Its visual drag-and-drop interface democratizes data access, addressing the $5.5 trillion global skills gap by removing the need for specialized coding expertise. Enterprises can cut data preparation efforts from 80% to 20% of project cycles, connecting legacy mainframes seamlessly with modern cloud applications. The urgency is clear: the data integration market is projected to reach $47.6 billion by 2034, yet 95% of IT leaders cite integration as the main barrier to AI adoption. Meanwhile, silos cost enterprises hundreds of thousands annually, and up to 80% of data projects fail due to poor preparation. This platform empowers organizations to process millions of records in minutes across hybrid, cloud, and on-premises environments. Early adopters already report 171–295% ROI within three years, six-month payback periods, and over $2.4 million in productivity gains. With 70% of new applications expected to leverage low-code/no-code by 2026, this solution positions enterprises to lead the next wave of intelligent automation. 1. Low-code visual interface — drag-and-drop workflow designer for ETL (Extract, Transform, Load) without heavy coding. 2. Broad connectivity — supports diverse data formats and protocols for integration with: Legacy mainframe systems (IBM IMS, DB2, VSAM, CICS) Modern databases Cloud services APIs IoT devices 3. Flexible deployment options — on-premises, private cloud, public cloud, or hybrid; containerized on Kubernetes for easy scaling and management. 4. Unified real-time computing architecture — includes: Event message storage Operational logic management Built-in data monitoring Real-time statistical computation 5. Processing modes — supports both batch and streaming data processing for near real-time synchronization. 6. No-code API generation — instantly create RESTful APIs without microservices coding. 7. Multi-API integration — combine outputs from multiple third-party APIs in a single workflow. 8. Automated data format conversion — convert JSON, XML, CSV, and other formats without custom scripts. 9. Built-in debugging console — instant result checks and error tracking to speed up development. 10.Centralized monitoring & alerting — end-to-end oversight of integration pipelines, infrastructure, and app performance. 11. Lightweight, high-throughput — typical unit requires 2 vCPU + 4GB RAM, capable of processing millions of records in minutes. 12. Enterprise-grade resilience — scalable, secure, and compliant with regulatory and operational requirements. The technology provider is seeking partners with multinational corporations, enterprises, and system integrators to transform integration from a technical bottleneck into a strategic enabler, delivering scalable, secure, and compliant solutions that accelerate digital transformation and data-driven decision-making. 1. Banking & Financial Services Modernises legacy core banking systems by integrating mainframe and cloud data. Automates ETL workflows for compliance, reporting, and AI-driven fraud detection. Reduces operational costs and shortens reporting cycles. 2. Healthcare Unifies patient, lab, and imaging data from multiple systems for holistic care. Enables real-time alerts and analytics for faster clinical decisions. Supports paperless workflows for patient onboarding and records management. 3. Telecommunications Connects customer, billing, and network data from disparate platforms. Enables real-time service monitoring and customer experience optimisation. Reduces integration time for mergers, acquisitions, or system upgrades. 4. Manufacturing Integrates shop-floor IoT, supply chain, and ERP systems. Enables predictive maintenance, quality control analytics, and production optimisation. 5. Government & Public Sector Consolidates siloed departmental databases for unified citizen services. Automates reporting for compliance, ESG initiatives, and budget monitoring. 6. Cross-Industry Applications Real-time data synchronisation between legacy and modern systems. Low-code API generation to quickly integrate new applications. Hybrid cloud deployment for flexible, secure data operations. 7. Agritech / Smart Farming Automates data collection from IoT sensors (soil moisture, weather, crop health). Processes and integrates sensor, drone, and satellite data in real time. Enables precision agriculture—optimised irrigation, fertiliser use, and pest control. Supports predictive analytics for yield forecasting and early issue detection. Rising Digital Transformation Demand – Enterprises urgently need agile, low-code data platforms to modernize infrastructure and accelerate innovation. Hybrid Cloud & Legacy Integration Gap – Strong demand for solutions bridging mainframes, cloud, APIs, and IoT in a seamless, cost-effective way. AI & Analytics Growth – Timely, integrated data is now a critical enabler for AI adoption and real-time decision-making across industries. Talent Shortage in Legacy Systems – Scarcity of mainframe/ETL specialists drives adoption of low-code tools that reduce technical dependency. Cost & Efficiency Pressures – Enterprises seek platforms that cut IT spend while delivering faster deployment and operational savings. A versatile solution that powers AI, advanced analytics, and digital transformation across diverse sectors, including finance, healthcare, telecom, manufacturing, agritech, and beyond with many UVPs; here are the top five: Significant Cost Savings – Reduces total cost of ownership by up to 90% compared to traditional ETL/data tools. Unified Data Access – Connects legacy mainframes, modern databases, cloud apps, APIs, and IoT into one seamless platform. Low-Code Speed – Drag-and-drop workflows cut development effort by up to 80% and deliver deployment in days. High Performance, Low Resource – Processes millions of records in minutes with minimal hardware (2 vCPU, 4GB RAM per unit). Near Real-Time Insights – Enables faster, data-driven decisions with clean, integrated data for AI and analytics. Low-Code ELT, Data Processing & Integration, Visual Workflow Automation, Legacy System Modernization, Hybrid Cloud Deployment Infocomm, Enterprise & Productivity, Internet of Things, Healthcare ICT, Logistics, Value-Added Services

Encapsulation of live cells involves enclosing them within a semi-permeable barrier that protects against immune attack and mechanical stress while allowing the exchange of nutrients and signaling molecules. This approach is widely used in biomedical research, diagnostics, and cell therapy manufacturing. Conventional methods typically suspend cells in polymer solutions that are cross-linked into beads or gels, sometimes preceded by microwell aggregation. While established, these approaches often suffer from limited adaptability, inconsistent sample sizes, and labor-intensive retrieval processes. This technology introduces an adaptive elastomeric microwell platform that enables adjustable dimensions and high-throughput encapsulation of biological samples. It can accommodate a wide range of sample sizes, from single cells to complex multicellular aggregates such as tumor spheroids and organoids. The platform supports physiologically relevant growth and proliferation, and importantly, allows encapsulated samples to be released intact without enzymatic or harsh mechanical disruption. By combining flexibility, secure encapsulation, and gentle retrieval, this solution addresses a clear market need for customizable and cost-efficient live cell handling. It holds strong potential for research institutions and Institutes of Higher Learning engaged in cell biology, organoid research, and advanced drug screening; for pharmaceutical and biotechnology companies seeking scalable, contamination-free sample preparation for R&D and clinical use; and for clinical laboratories and hospitals requiring standardized, zero-loss handling of rare or patient-derived samples. In addition, laboratory equipment and consumables manufacturers may benefit from integrating this platform into existing product lines or automation systems, extending its impact across the broader life sciences and healthcare ecosystem. Mechanically tunable microwell size via controlled stretching, allowing both capture and release of samples.  Zero chemical additives required for encapsulation, ensuring compatibility with sensitive assays and cell systems.  Size-based classification capability to separate samples by dimension prior to downstream processing.  3D confinement similar in scale to the captured sample, promoting physiologically relevant growth patterns such as organoid or spheroid formation.  High-throughput array format, supporting simultaneous processing of multiple samples.  Supports growth-based trapping, where small aggregates proliferate into encapsulated multicellular structures.  Reusable and compatible with standard laboratory handling equipment (e.g., pipettes).    This technology has broad applicability across pharmaceuticals, biotechnology, life sciences, clinical diagnostics, and research tool manufacturing. It is particularly valuable for organizations engaged in live cell handling, organoid development, precision medicine, and advanced drug screening. Key applications include high-throughput drug uptake and penetration studies with controlled sample sizes; organoid and tumor spheroid culture for disease modeling and therapeutic testing; preservation and zero-loss handling of rare or patient-derived samples in both clinical and research workflows; and sample encapsulation for transport, enabling long-distance or cross-border delivery of live cells without cryopreservation. The platform also supports size-based sorting of cell aggregates to improve assay reproducibility, as well as personalized medicine workflows such as patient-specific testing and screening. Potential marketable products include consumable elastomeric microwell plates with adjustable well sizes, modular encapsulation (release units compatible with automated liquid handling systems), and fully integrated sample preparation platforms for laboratory and clinical environments. These product formats allow seamless adoption into existing workflows, delivering scalable, contamination-free, and loss-preventing solutions for modern cell-based research and therapeutic applications. This technology is the first elastomeric microwell platform to enable fully reversible sample encapsulation and release without chemical additives. Its purely mechanical operation integrates seamlessly into existing laboratory workflows, eliminating chemical exposure, reducing processing steps, and minimizing contamination risks. Unlike conventional methods, the platform ensures zero sample loss, making it especially valuable for rare or low-quantity samples. It uniquely combines adjustable well dimensions, high-throughput capacity, and individual sample release within a single system. By providing a three-dimensional microenvironment that reflects the natural scale of biological samples, the platform supports physiologically relevant growth of advanced models such as organoids and tumor spheroids. It delivers a versatile, contamination-free, and loss-preventing solution tailored to the needs of modern cell biology, pharmaceutical research, and clinical applications. Microwell Array, Encapsulation, Organoid Culture, Size Control, Live-cell sample preparation Materials, Plastics & Elastomers, Healthcare, Pharmaceuticals & Therapeutics, Life Sciences, Biotech Research Reagents & Tools