TECH OFFERS

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 Customizable 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

This technology is an AI-powered logistics orchestration platform designed to optimize warehouse management, order fulfilment, and transportation across distributed networks. It integrates advanced algorithms for demand forecasting, route optimization, and real-time inventory visibility. By connecting multiple warehouse operators and transportation providers into a unified system, the platform enables businesses to access flexible, on-demand logistics capacity without the need for owning physical assets. The system is built with modular APIs, allowing seamless integration with e-commerce platforms, ERP systems, and third-party logistics providers. Its scalable architecture supports rapid deployment in diverse market environments, making it suitable for businesses facing seasonal demand fluctuations or seeking cross-border operational efficiency.  AI-Driven Forecasting: Machine learning models analyze historical sales, promotions, and market trends to predict demand with high accuracy. Dynamic Fulfilment Routing: Automated allocation of orders to optimal fulfilment centers based on location, capacity, and cost parameters. Real-Time Inventory Synchronization: Continuous data updates across multiple warehouses to maintain accurate stock levels. Multi-Modal Transport Coordination: Integration with domestic and cross-border carriers, enabling flexible transport modes (road, air, sea). API-First Architecture: Supports plug-and-play integration with ERP, WMS, OMS, and e-commerce platforms. Scalable Cloud Infrastructure: Handles high transaction volumes with robust uptime and disaster recovery protocols. Analytics Dashboard: Centralized interface for monitoring KPIs, delivery performance, and operational bottlenecks. E-commerce fulfilment for domestic and cross-border markets Omnichannel retail distribution networks 3PL coordination platforms Reverse logistics and returns management SME access to on-demand warehousing capacity This technology delivers asset-light, AI-driven logistics orchestration that enables businesses to flexibly access and optimize warehouse and transportation resources across a distributed network—without owning physical assets. Key differentiators include: Network-Orchestrator Model – Connects multiple independent logistics providers into a unified, real-time network. Dynamic, AI-Powered Allocation – Routes orders to optimal fulfilment centers and transport modes based on cost, location, and capacity. Seamless API Integration – Designed to integrate quickly with ERP, WMS, OMS, and e-commerce platforms, reducing deployment time and IT overhead. Scalable, Pay-Per-Use Structure – Allows businesses to expand or contract logistics capacity instantly, ideal for seasonal demand or market entry strategies. Border Capability – Built for both domestic and cross-border trade, supporting multi-modal transport coordination and customs-ready workflows. Unlike conventional warehouse or transport management systems, this platform acts as a logistics network orchestrator, enabling businesses to dynamically access, allocate, and optimize logistics resources across multiple independent providers. It eliminates the need for fixed contracts or owned facilities, offering a pay-per-use model supported by AI-driven decision-making. This ensures cost efficiency, operational flexibility, and scalability—critical factors for fast-moving consumer industries and global trade players. Infocomm, Artificial Intelligence

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