TECH OFFERS

Conventional solar monitoring at the inverter level is reactive and labour-intensive, with issues like shading, soiling, mismatch, or degrdation often detected only after energy losses occur. Troubleshooting requires manual checks, slowing response times and driving up costs.  This technonlogy provides a digital O&M control plane that delivers real-time, module-level visibility and control. Coupling module-level power electronics with advanced software, it captures second-by-second data on voltage, current, temperature, and faults from each module. The platform integrates with existing inverter and SCADA systems, is inverter- agnostic, and can be retrofitted selectively where risks or losses are the highest.  By detecting anomalies early, quantifying avoided losses, and prioritizing interventions by ROI, the technology turns monitoring into proactive operations. Operators can execute remote module-level actions, such as isolating or restoring modules - before sending crews, reducing downtime and cost. Built-in safety features also meet rapid shutdown requirements and generate auditable compliance records.  By closing the loop from sensing to analytics to remote action, this technology maximizes energy yield, accelerates response, and lowers the total cost of solarplant operations. In real-world deployments, the system has achieved up to a 50% reduction in management and O&M costs, and a 4–15% increase in overall power generation efficiency, while significantly strengthening fire-safety assurance through rapid isolation of faulty panels or hotspots. The technology owner is seeking collaborations with asset owners, O&M service providers, and EPCs/developers for test-bedding and licensing.  Smart Module devices: Real-time module data capture, per-module optimization, and rapid shutdown for safety and efficiency. Connected edge network: Low-power mesh links modules to an on-site gateway, which securely aggregates and normalizes data. The gateway supports Ethernet/LTE backhaul for reliable connectivity, enables remote diagnostics, and delivers over-the-air firmware updates. Digital O&M platform: Module-level visualization, anomaly detection, automated workflows, remote control, and audit-ready logs—transforming monitoring into proactive operations. Solar EPCs & Developers: Improve system bankability at shade-affected or complex sites and reduce post-commissioning performance risk. O&M Service Providers: Enable ROI-based task prioritization, remote interventions, and verifiable reporting while reducing on-site maintenance visits. Insurers: Leverage verified performance and fault data to support cleaner claims, lower loss severity, and enable risk-based premiums. Asset Owners & Investors: Strengthen yield reliability, reduce operational risk, and enhance long-term asset value and investor confidence. Closed-Loop Digital O&M: Transforms intelligent electronics—whether proprietary or third-party—into a unified control plane to sense, analyse, act, and verify in real time. Automated, ROI-Driven Operations: Executes predefined O&M workflows (thresholds, triage, remote actions, dispatch, escalation) and prioritizes tasks by avoided energy loss or financial impact. Remote Optimization & Control: Enables operators to isolate or restore affected zones, apply targeted performance tuning, and verify fixes remotely, minimizing site visits and downtime. Continuous Learning & Improvement: Built-in measurement and verification (M&V) tools learn across sites and auto-refine O&M rules for sustained yield enhancement. Hardware-Agnostic & Scalable: Integrates with existing inverters and SCADA systems, supporting selective retrofit deployment where justified. Quantified Impact: Proven to achieve 4–15% higher power generation, up to 50% reduction in O&M costs, and enhanced fire safety through rapid fault isolation and compliance-ready shutdowns. Energy, Solar, Sustainability, Low Carbon Economy

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

This innovative technology addresses the critical challenge of complex medical information interpretation that patients face daily. The solution transforms healthcare delivery through artificial intelligence by providing hyper-personalized, patient-friendly care that makes medical data accessible and meaningful to patients. The platform empowers patients with AI agents that organize and decode complex medical information, delivering instant personalized answers through enterprise-grade medical chatbots and tailored tools with expert insights. The technology bridges the gap between complex medical terminology and patient comprehension, significantly reducing the time required to interpret and understand medical information. With over 600,000 patient-uploaded medical documents and 120,000 registered patients (70%+ cancer patients) and caregivers, the platform has demonstrated substantial market adoption. This solution provides comprehensive end-to-end healthcare support, seamlessly connecting the entire patient journey from screening to follow-up care through integrated data synchronization and HIPAA-compliant infrastructure. The technology owner is seeking collaborations with: Hospital systems (EMR, HER vendors) for integrated deployment. Telemedicine platforms requiring AI-powered patient support. Pharmaceutical companies developing digital therapeutics. Medical device manufacturers seeking patient education integration. Healthcare insurance providers implementing value-based care programs. Healthcare technology accelerators and innovation hub. The platform architecture consists of three integrated components: an AI-powered patient application, an Enterprise medical documentation system, and a Comprehensive analytics platform. Core technical specifications include: AI Processing Engine: Advanced natural language processing algorithms specifically trained on medical terminology and clinical protocols, enabling accurate interpretation of complex medical document including lab reports, imaging results, and treatment plans. Enterprise Integration Suite: HIPAA-compliant API framework supporting seamless integration with Electronic Health Record (EHR) systems, hospital information systems, and clinical workflow management platforms. Automated Documentation System: Machine learning-powered transcription and summarization capabilities that generate structured medical reports from clinical interactions, reducing documentation burden on healthcare providers. Personalization Engine: Adaptive algorithms that learn individual patient preferences and medical histories to deliver tailored health recommendations, medication reminders and treatment guidance. Multi-Platform Deployment: Cloud-native architecture supporting web, mobile, and tablet interfaces with off-line capability for areas with limited connectivity.  Hospital Systems: Enterprise deployment for patient education, discharge planning, and follow-up care coordination. Integration with existing clinical workflows to enhance patient satisfaction scores and reduce readmission rates. Chronic Disease Management: Specialized applications for oncology, diabetes, cardiovascular disease, and other chronic conditions requiring ongoing patient education and monitoring. Telemedicine Platforms: AI-powered patient preparation and post-consultation support, enhancing remote care delivery effectiveness. Pharmaceutical Industry: Full-cycle patient journey analysis, Patient engagement tools for clinical trials, medication adherence programs, and post-market surveillance studies. Insurance Healthcare: Population health management solutions, preventive care programs, and risk stratification tools for value-based care models. Global Health Application: Scalable solutions for underserved markets where healthcare provider access is limited, enabling patients to better understand and manage their health conditions independently. The global AI in healthcare market is projected to reach USD 102 billon by 2028, with patient engagement solutions representing a rapidly growing segment. Increasing healthcare consumerization, regulatory support for digital therapeutics, and growing emphasis on patient-centered care models create substantial market opportunities. Clinical-Grade Accuracy: Unlike general health applications, the platform provides medical domain-optimized AI with clinical data organization capabilities, ensuring accurate interpretation of complex medical information. Proven Market Adoption: Demonstrated user base of over 120,000 patients with substantial document processing volume validates real-world effectiveness and user acceptance. Comprehensive Patient Journey Coverage: End-to-end solution spanning screening, diagnosis, treatment, and follow-up care through integrated data synchronization across healthcare providers. Enterprise-Ready Integration: HIPPAA-compliant infrastructure with proven deployment in major healthcare systems, addressing security and regulatory requirements essential for healthcare adoption. Specialized Medical Focus: Domain-specific optimization for healthcare applications, contrasting with generic AI assistants that lack medical terminology understanding and clinical workflow integration. Scalable Global Deployment: Cloud-native architecture supporting international expansion with localization capabilities for different healthcare systems and regulatory environments. AI Healthcare, Medical Chatbot, Patient Engagement, Medical Data Interpretation, Personalized Medicine, Digital Health, Patient Assistant, Clinical Decision Support, Health AI Infocomm, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence, Healthcare, Telehealth, Medical Software & Imaging, Pharmaceuticals & Therapeutics

When companies engage in large-scale physical operations, various work processes and system are required to scale up to ensure the smooth operation while maintaining its expected performance. However, due to various systems (e.g., CCTV, IoT sensors, BIM models, manual checklists) being in respective disconnected data silos, this leads to reactive decision-making, operational inefficiencies, and compliance gaps, which is definitely less than ideal. The technology solution addresses this critical pain point by providing an AI digital platform unifying fragmented data into a single, actionable source of operational intelligence, eliminating reliance on error-prone paper-based processes and disjointed tools. This platform leverages on a digital twin infrastructure to consolidate all data silos into a single point of truth for various business unit’s operation, maintaining operational efficiencies and compliance. By leveraging on their Generative AI (Gen-AI) module to generate predictive insights, it enables proactive management (e.g., pre-empting safety hazards, forecasting maintenance needs) instead of post-incident responses, directly addressing the market need for cost-effective, scalable operational excellence. The technology owner is currently seeking industrial collaborators with complex physical assets (e.g. construction, manufacturing, FM, smart cities and healthcare) looking to streamline operational workflow, enhance safety and optimise resource utilisation. The comprehensive solution, in a digital platform formfactor, comprises of six core interconnected modules that provides its capabilities and functionalities. They are: Digital Twin Foundation: A live 3D + time replica of physical assets (e.g., buildings, factories, city blocks) that integrates GIS and BIM models (up to LOD 500) as the visual/data backbone of the operation. 3-Tier AI CCTV Hub: Infrastructure-free retrofit of existing cameras into platform (Tier 1) while leveraging on 100+ pre-built AI models for safety/ hazard detection (Tier 2) and GenAI capabilities for contextual progress tracking and automated compliance (Tier 3). Tamper-Proof Photo Analytics: GPS/time-stamped imagery from various sources, such as drones and bodycams, with GenAI auto-tagging, defect detection, and spatial mapping to the Digital Twin. Digital Workflow & Supervision System (DWSS): Generation of digital checklists, real-time issue ticketing, live KPI dashboards, and automated audit trails. One-Click Smart Reporting: Auto-generates compliance, handover, and analysis reports for visibility and follow-up action. On-Demand App Marketplace: Tailored tools for asset management, ESG monitoring, etc. which also serves as a platform for co-development of customised industry-specific tools. The technology solution has been validated in real-world use-cases and have been noted to result in reducing construction non-conformance rates by 28% and FM maintenance costs by 22%. This technology is deployable across several key industries below, with potential applications such as: Construction: Real-time progress tracking against BIM schedules, automated QC (e.g., rebar/concrete checks), and safety hazard alerts. Facility Management (FM): Predictive maintenance for HVAC/equipment, energy (ESG) monitoring, and tenant request ticketing. Smart Cities: Unified oversight of traffic, public safety (crowd density, abandoned objects), and infrastructure (pothole/streetlight repairs). Manufacturing: Assembly line SOP compliance, visual defect detection, and material flow tracking. Healthcare: Patient fall monitoring, pharmacy access control, and sterilization checklist compliance. Retail (e.g. Malls): Footfall heatmaps, queue management, and common-area maintenance tracking. Property/Real Estate: Asset inventory management and space utilization optimization. The global market for this technology is substantial, driven by demand for smart infrastructure: Smart Building Market: Projected to reach $109.48 billion by 2030 (Grand View Research), with 11.6% CAGR. Smart City Market: Expected to hit $820.7 billion by 2030 (Allied Market Research), growing at 14.9% CAGR. Industrial Digital Twin Market: Forecasted to reach $110.1 billion by 2029 (Fortune Business Insights). This comprehensive solution provides a single source of truth, addressing the gap of current siloed tools, to ensure all stakeholders (e.g. engineers, FM, regulators, managers) within a company are able to work from consistent, synchronised data. Unlike current “state-of-the-art” solution which are often industry-specific, require expensive hardware upgrades, or offer reactive monitoring, this platform delivers three unmatched benefits: Industry-Agnostic Flexibility: Works across construction, healthcare, smart cities, etc., without reconfiguration, thanks to its open integration with any BIM/GIS/IoT system. No Hardware Overhead: Retrofits existing cameras/sensors, eliminating the need for costly new equipment or proprietary hardware. Proactive Intelligence: Moves beyond “alert-only” systems to GenAI-driven prediction (e.g., forecasting equipment failure, identifying high-risk safety zones) and automated action (e.g., auto-assigning maintenance tickets), reducing incident response time by 50%+ in real-world use. Digital Twin, AI Operational Intelligence, Data Silo Integration, Predictive Maintenance, Cross-Industry Workflow Automation, Compliance Tracking, Real-Time Asset Monitoring Infocomm, Artificial Intelligence, Green Building, Sensor, Network, Building Control & Optimisation, Smart Cities

This technology presents a regenerative medicine approach for treating fingertip loss by using nail stem cells derived from human induced pluripotent stem (iPS) cells. The loss of fingertip can arise from burns, trauma accidents, crush injuries due to heavey machineries and tools. Fingertip amputations are currently managed with conservative treatments that often result in shortening and deformation, with limited options for restoring full form and function. By leveraging the regenerative potential of nail stem cells, this therapy aims to achieve structural and functional regeneration of the fingertip, including nail reconstruction. A patent has been filed for the method of generating nail tissues and nail stem cells from human iPS cells, supporting future clinical translation and application. Ideal Collaboration Partner: Pharmaceutical and biotechnology companies with an interest in advancing cell-based regenerative medicine therapies, particularly those with expertise in clinical development and commercialization. Core Technology: Differentiation of human iPS cells into Lgr6-positive nail stem cells, which contribute to nail formation and guide fingertip regeneration. Lgr6-positive marks a population of stem cells in the skin that can give rise to epidermis, sebaceous glands, hair follicles and reside in the nail matrix. Lgr6-positive nail stem cells support both nail regrowth and provide the epithelial signals needed to form a blastema for bone and soft tissue regeneration. Mechanism of Action: Nail stem cells serve as the source cells for nail tissue. Nail tissue indirectly stimulates fingertip granulation (blastema formation). Nail structures provide a biological scaffold to support proper fingertip regrowth. Preclinical Validation: In mouse models, transplanted nail stem cells formed keratinized structures supported by host vasculature. Transplanted cells migrated to the native nail stem cell niche and successfully integrated. Platform Advantage: Use of HLA knockout iPS cells reduces the risk of immune rejection and supports allogeneic application.  Medical/Clinical: Treatment of fingertip loss resulting from trauma such as burns, crush injuries, and accidents. Pediatric use where surgical reattachment is not feasible. Cosmetic/Restorative: Nail reconstruction after injury or congenital conditions. Future Directions: Foundation for broader regenerative medicine applications in nail and skin tissue repair. The technology enables fingertip regeneration by reactivating natural regenerative pathways through iPS cell–derived nail stem cells. Unlike existing treatments that primarily preserve residual tissue, this approach aims to restore both form and function. The application of HLA knockout iPS cell lines makes the therapy more widely applicable by minimizing immune compatibility concerns, supporting development toward scalable clinical solutions in regenerative medicine. Human iPS cells, Nail Stem Cells, HLA knockout iPS Healthcare, Pharmaceuticals & Therapeutics

In Singapore, where workplace safety is of paramount concern, the Ministry of Manpower (MOM) have always been actively monitoring with compliance and enforcement to meet their objective of less than one workplace fatality per 100,000 workers by 2028. Unfortunately, workplace deaths have been steadily increasing, with falling from height being the highest cause of incident within the construction industry in 2024 with inadequate Workplace Safety and Health (WSH) management, non-compliance and unsafe behaviour being common root causes. With potential loss of man-day and even life, companies are actively looking for solutions which ensure workers working-at-height are safe and compliant. The technology owner has developed an innovative safety solution designed to enhance safety for workers operating at heights. It provides relevant stakeholders with real-time information about the usage of safety harnesses, as well as the precise or general positioning of the worker before, during and after work-at-height (WAH) activities. This capability enables effective monitoring of compliance of workers in high-risk areas and facilitates the implementation of follow-up training and safety improvements. The technology solution has been successfully tested and deployed in various construction sites in Hong Kong. The owner is currently looking for industrial players, such as contractors, and facility management teams, who will find this solution valuable for reinforcing compliance and reducing WAH risk across various operations. This comprehensive technology solution, comprising of devices attached on the fall protection equipment, various anchor base stations and location tags, helps monitor the compliance of WAH work before, during and after activities with additional functionalities benefiting companies, such as: Being able to retrofit into existing fall arrest system while ensuring full operation and compliance of such fall protection equipment Robust, compact and IP65 for daily rugged use (e.g. construction site) Digital cloud platform for monitoring real-time 3D positioning information of worker accurately  Detects proper wearing of harness and anchoring of harness hook to anchorage point with alarms if non-compliance Built-in RFID scanners for identification of workers for effective remote monitoring Manual emergency rescue request by workers during WAH activities Generation of daily warning records and automatic reports for recordkeeping and follow-up action Possible addition of other IOT sensors for monitoring and integration to existing monitoring system Able to be scaled for large deployment sites With this innovative safety solution designed to enhance safety for workers operating at heights, this enables WAH work to be conducted safely in various use-cases, such as: Construction Industry such as monitoring of workers on scaffolding, rooftops, elevated platforms, etc. Facility Management (FM) and maintenance such as building inspection, façade cleaning Oil & Gas Industry such as work on elevated platform and structures Other industrial WAH work requiring fall protection system for safety and compliance  Within the Workplace Safety and Health Report 2024 by MOM Singapore, the workplace fatal injury rate has increased from 0.9 to 1.2 per 100,000 workers from 2023 to 2024 respectively. For workplace major injuries, “fall from height” is highlighted to be the 3rd most common incident causes. Specific to the Construction Industry, “fall from height” is the most common cause for fatal and major injuries in 2024 with 44 incidents. From January to June 2024, more than 1,000 inspections were conducted by MOM, resulting in a total of 9 stop-works orders and fines totalling $452,600 given by MOM to companies flouting rules that protect workers carrying out work at high places. This technology solution enhances the safety and compliance of any WAH work through a smart safety harness system with the ability to retrofit into existing fall arrest system while ensuring full operation, compliance and certification of such system. The compact, IP65-rated form factor makes it ideal for rugged environments while ensuring continuous monitoring of proper anchorage, improper harness use and emergency distress signals. The solution can be integrated with RFID-enabled individual identification for tracking and recordkeeping. With automated report generation, seamless IOT sensor integration, it enables scalability while maintaining performance in eliminating fall from height fatalities at workplace. Safety Harness, IOT, PPE, Personal Protection Equipment, Fall Arrest System, Fall Protection, Lifeline Electronics, Sensors & Instrumentation, Infocomm, Smart Cities

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

Food waste streams are frequently contaminated by packaging, utensils, and other non-food items, undermining efficient downstream treatment and resource recovery. Contamination drives multiple pain points for food operators, premise owners and municipalities such as rejected loads and surcharges, lower conversion yields at valorisation facilities, equipment fouling and downtime, higher manual-sorting labour, and unnecessary transport emissions when contaminated loads are hauled before being discarded. This technology aims to address the issues with food contamination by delivering continuous, at-source contamination auditing and monitoring. The technology on offer is a smart food‑waste monitoring and profiling platform designed to bridge the gap between regulatory requirements and on‑site practices. By integrating AI‑enabled image analysis, weight measurement and a waste taxonomy, the system delivers real‑time contamination detection and detailed waste profiling. Together, these elements form a scalable, cost‑efficient solution that empowers food operators and premise owners to improve segregation quality, comply with evolving regulations and enhance the feedstock quality for downstream resource recovery.          The technology owner would like to collaborate with operators of multi-user food environments—such as hawker centres, food courts, and shopping malls—where at-source contamination is a primary challenge, to pilot the system, improve segregation, reduce contamination, and demonstrate measurable progress toward sustainability goals. The technology is a smart food waste monitoring and profiling system that uses AI-enabled image analysis and a centralized informatics platform. Key features of the solution include: Enables real-time monitoring of segregation quality across multiple sites Taxonomy system to standardise classification of food waste across diverse commercial operations, developed specifically to address the operational diversity of Singapore’s food sector Real-time user interface that provides on-site feedback to corporate user, encouraging compliance and accountability Centralised backend dashboard that aggregates waste data, generates performance insights, and supports regulatory reporting An NFC scanning feature that allow tenants to tag their waste before disposal, enabling tenant-level tracking and accountability for more detailed performance insights Multiple source specific tracking and placement of small footprint machine to acquire tenant-level real-time data Potential applications include (but are not limited to): Public and community food centres (e.g., hawker centres, markets, canteens) — At-source auditing at dish-return/disposal points to improve segregation and reduce contamination Central kitchens and catering — Back-of-house monitoring to separate packaging from prep waste and reduce contamination Property owners, malls and mixed-use developments — Tenant-level tracking and scorecards to drive green-lease KPIs and reduce rejected loads Valorisation plants — Inbound feedstock quality assurance to improve conversion efficiency and minimise rejects Global and local regulations—including Singapore’s Resource Sustainability Act—are accelerating demand for effective food-waste segregation. In parallel, operators are adopting digital tools to meet ESG reporting and circular-economy goals. While AI solutions are mature in single-operator hospitality settings (e.g., restaurants, hotels), a gap persists in multi-user environments—such as hawker centres and food courts—where at-source contamination is the primary barrier to recovery and tenant-level accountability is essential. This technology closes that gap by enabling accurate segregation, compliance, and performance tracking in complex, shared spaces. It supports Singapore’s Zero Waste Masterplan and creates opportunities to scale across urban food ecosystems in Asia facing similar regulatory and operational pressures.   Combines real-time contamination detection, a standardised food-waste taxonomy, and tenant-level accountability in a single platform Profiles food waste at the point of disposal and tracks and logs performance for tenants and operators, using classifications tuned to Singapore’s food sector Improves segregation and reduces contamination, demonstrating measurable progress toward sustainability and compliance goals. IoT, Internet of Things, Artificial Intelligence, Waste management, Productivity, Productivity improvement, Circular Economy, Decarbonisation, Waste reduction, Recyclability, Software, Environmental Sustainability, A.I., AI, food waste, waste audit, waste monitoring, segregation, data, contamination, detection, waste profile, sustainability Infocomm, Artificial Intelligence, Internet of Things, Waste Management & Recycling, Food & Agriculture Waste Management, Automation & Productivity Enhancement Systems, Sustainability, Circular Economy

The technology is an AI-enabled, media-driven, and community-integrated digital health platform designed to empower seniors to live healthier, more engaged, and more independent lives. For seniors:  accessible, engaging, and personalised health and wellness guidance, inclusive of those who are wheelchair-bound. For families & caregivers: real-time progress monitoring and encouragement tools. For community organisations: scalable and customisable platform to run wellness programmes. For healthcare & policy stakeholders: data-driven insights into preventive health, functional decline, and community engagement impact. The platform is supported by industry and academic partners and has received encouraging initial feedback from community and hospital proof-of-concept trials. The technology owner seeks licensing opportunities with community care organisations or tech companies, partnerships with healthcare providers, government agencies, and insurers, as well as scaling partners for secure cloud deployment of AI models and applications. They are also looking for collaborators to co-develop new media IPs and gamified challenges for regional markets. This AI-powered digital health platform has three key functionalities: Evaluate: The platform leverages AI-enabled technologies and computer vision to conduct a range of senior-focused assessments, including baseline fitness tests with real-time performance feedback, cognitive evaluations using the digital Mini-Mental State Examination (MMSE), emotional health screening via the Geriatric Depression Scale (GDS), and fall-risk home scans that apply object recognition to detect environmental hazards. Enhance: The platform offers a diverse range of celebrity-led wellness programmes for seniors, including personalized, science-based exercise plans, interactive vocal training, creative art therapy sessions, guided dance routines to enhance mobility and enjoyment, photography activities for self-expression and memory stimulation, interactive music engagement, and home-based safety practices for fall prevention. Engage: The platform features an interactive media library with flagship content such as variety shows, short films, and music videos, complemented by post-media activities like quizzes, challenges, and interactive discussions. Built on gamification principles—including points, badges, rewards, leaderboards, and community challenges—it fosters engagement across families, neighbours, and communities. By encouraging intergenerational participation, it enables seniors to enjoy meaningful content, stay socially connected, and lead a more fulfilling life. Moreover, the platform is tailored for Singapore’s local community, offering multilingual support in English, Mandarin, Cantonese, Malay, and Hokkien. It also provides senior-friendly functionalities, including a health dashboard displaying key indicators (steps, exercise minutes, average heart rate, SpO₂, etc.), a smart calendar to track upcoming activities such as exercise, dance, art, and music, as well as reminders through push notifications for medication and programme adherence. This technology suite supports diverse applications across sectors, delivering primary benefits in senior care (e.g., active ageing centres and nursing homes) and extended use in hospitals and clinics for digital baseline testing and remote patient monitoring. It is also applicable in educational institutions and media platforms such as intergenerational programmes that blend arts, music, and health, as well as in corporate wellness and CSR initiatives. The system’s main differentiation lies in its software application, which can be adapted for compatibility with wearable watches that emit photoplethysmography (PPG) signals. Powered by an AI-driven computer vision engine and advanced machine learning models, it employs proprietary models to conduct senior-friendly functional tests, predict vital health indicators, and detect fall risks—eliminating the need for a physical coach. It offers a validated digital version of the Mini-Mental State Examination (MMSE), along with exclusive programmes and proprietary in-house media content. Aging-in-Place, Senior Health Monitoring, Personalised Health Interventions, Machine Learning, Computer Vision, Wearable Technology, Digital Health, Health Data Analytics, Telehealth, Preventive Healthcare Healthcare, Telehealth, Medical Software & Imaging