TECH OFFERS

With the maritime industry responsible for 2–3% of global CO₂ emissions, the need for practical, safe, and affordable low-carbon fuel solutions has become increasingly urgent. While alternatives like hydrogen and ammonia show potential, they face major barriers in safety, cost, and infrastructure—particularly for long-haul shipping routes. Bio-methanol is considered a strong alternative fuel for the maritime sector, offering a practical, scalable, and safer pathway for transitioning to low-carbon marine fuels. The technology on offer features a proprietary catalyst that simplifies the bio-methanol production process, enabling up to 50% reduction in capital and operating expenses compared to conventional methods. This approach allows renewable methanol to be produced at costs approaching that of fossil-based methanol or diesel, especially when normalized by energy density and inclusive of carbon pricing. The process also supports circular economy goals by valorising waste into energy, further enhancing its environmental and societal impact. By enabling affordable, scalable production of renewable methanol, this technology fills a critical gap in the clean energy supply chain, facilitating a just and profitable transition to greener shipping. It also directly addresses the maritime industry’s growing demand for sustainable fuels that align with international climate targets, such as the International Maritime Organization’s (IMO) net-zero emissions goal. The technology owner is seeking for co-development and test-bedding opportunities with end-users in the maritime sector i.e., shipping companies, fuel distributors, port operators, and clean energy developers and waste biomass producers i.e., palm oil, bagasse, animal manures, municipal sewage waste. This technology includes a proprietary catalyst and an optimised process to convert waste biomass into bio-methanol. Its key components include: Biomass-to-Biogas: Converts waste biomass to biogas (Optional) Biogas Conversion Unit: Transforms biogas into useful building block chemicals, H2 and CO Bio-methanol Synthesizer: Production of green methanol from H2 and CO Some features of the bio-methanol process: Simplified process, thereby lowering OPEX and CAPEX up to 50% Ensures good quality and consistent methanol production Can be tailored for different waste biomass types Potential applications of this technology include (but not limited to): Biofuel – as a high value bio-methanol Biogas – to improve energy efficiency for power generation Maritime - as a clean transportation fuel in shipping to meet IMO’s target and avoid carbon emission penalties Producers of organic waste i.e., agriculture, sewage treatment plants, farming – as a method to transform waste for profit Green chemical feedstocks i.e., downstream processing of bio-methanol for green chemicals and derivatives Simplifies the operational process of converting biogas into green bio-methanol Reduces the cost of bio-methanol product by up to 50% Supports the transition to clean energy by offering good quality bio-methanol sustainability, green fuels, green biomethanol, biofuels, waste biomass, waste to x, green chemicals, catalyst, biogas, methanol, decarbonisation, sustainable fuels, clean energy Energy, Biofuels & Biomass, Chemicals, Catalysts, Organic, Sustainability, Circular Economy, Low Carbon Economy

Traditionally, Design for Manufacturing (DFM) feedback is provided late in the product development cycle, often resulting in costly redesigns, production delays, and missed opportunities for optimization. This invention introduces an AI-powered companion that delivers real-time DFM feedback early in the design and demand fulfillment process. By automatically analyzing CAD models and design parameters, it identifies features that may pose manufacturing challenges and offers actionable suggestions to improve feasibility and reduce costs. The AI companion empowers users to make informed design decisions without waiting for manual reviews or relying solely on in-house manufacturing experts. In additional, traditional quoting methods are labor intensive and inaccurate, requiring engineers to analyze technical drawings, assess material and process requirements, and estimate costs based on historical data or supplier inputs. This delays customer responses and increases operational overhead. The proposed technology leverages AI to automatically interpret design files (e.g., CAD or technical drawings), extract key manufacturing features, and generate instant, data driven price estimates.  The technology owner is looking for partners to codevelop this AI module and customise it to specific industry, application and business process. Target users include precision engineering firms, job shops and manufacturers. The solution can enable businesses to respond faster to customer inquiries, reduce quoting costs, reduce design for manufacturing leadtime and win more business.   AI Companion for DfM Validation: User will load in CAD or drawing. Solution will be based on unique requirements and manufacturing capabilities of customers. It calls out design constrains and offers actionable suggestions to improve feasibility and reduce costs. Automated Instant Pricing for Manufacturing: User will load in CAD or drawing and manufacturing process. Solution will project an estimated quotation with use cases at >80% accuracy. The AI engine calculates pricing by factoring in labor, material costs, machine time, overhead, and historical quotation data to ensure accurate and consistent estimates. Quotation can include estimated raw material cost, cost price and selling price.  Flexible and Integrated Deployment: Used as a plug-in API as part fo a larger internal tool, or a standalone solution with a simple UI developed for customer to upload and view design feedback. A web-based user interface and API allow users to upload design files, receive instant quotes, and seamlessly integrate the system into existing ERP, MRP, or e-commerce platforms. AI Powered: Technology consists of a combination of software algorithms, machine learning models, and integration tools. Supporting this is a robust database that stores material pricing, manufacturing parameters, and user interaction data, enabling continuous model learning and optimization over time. Scalable Implementation with Additional Features: DfM Validation and Instant Pricing solutions can be part of a plug-and-play AI module that cover 50 features across operation efficiency such as production job tracking and inventory management. Target users include precision engineering firms, job shops, manufacturers, online marketplace and any product owners. This includes users employing different manufacturing processes such as CNC machining, 3D printing, and sheet metal fabrication.  Solution is applicable across different industries including consumer, defense, aerospace and semiconductors. It is especially valuable in industries where rapid prototyping, custom part production, or low-volume manufacturing are common to achieve goals below: Real-time DFM feedback early in the design and demand fulfillment process to reduce number of design iterations required, shortens development timelines. Real-time manufacturability and cost feedback during the design phase. Backend engine for procurement automation, enabling sourcing teams to quickly benchmark and compare supplier quotes. The Computer-Aided Manufacturing (CAM) Market is expected to increase from $3.39 billion in 2024 to $5.69 billion by 2030, at a CAGR of 9.0%. This reflects big growth in the manufacturing sector. With so much to manufacture and design, it becomes even more pressing to create more efficient workflows, develop shorter design iteration cycles and get feedback in real time. In addition, the global manufacturing industry is a substantial and growing sector, valued at approximately USD 14.16 trillion in 2024 and projected to reach USD 20.76 trillion by 2031, with a compound annual growth rate (CAGR) of 4.9%. Within this vast landscape, the High-Mix, Low-Volume (HMLV) segment is emerging as a critical area of growth, driven by increasing demand for customisation, rapid prototyping, and shorter product life cycles across industries such as aerospace, medical devices, and electronics. Despite its strategic importance, the HMLV segment remains largely underserved, particularly in the area of pricing automation. Most job shops and small-batch manufacturers still rely on time-consuming, manual quoting processes for each unique part or drawing. This creates a significant bottleneck, limiting responsiveness, efficiency, and scalability. This solution stands out from similar technologies in the market because of the solutions providers strong record in servicing diverse clients. This tool has been verified and trained on real world design files from a variety of clients from different industries and has become a key portion of our optimised workflow. It is customised to customer's problem statement, supporting unique and niche designs for specific markets. The solution offers a powerful combination of CAD feature recognition, AI-driven cost estimation, and seamless ERP/API integration to automate pricing at speed and scale. Unlike existing tools like basic quoting templates, this system intelligently learns from historical data and adapts to new designs, delivering both accuracy and agility. Reduction in number of design iterations: Shortens development timelines, and supports the creation of more practical, production-ready designs. Significant reduction in turnaround time for quotation: Replaces traditional quoting methods are labor intensive and inaccurate, requiring engineers to analyze technical drawings, assess material and process requirements. Shorten quotation timeline from a few days to few seconds.  Auotmates workflow that typically requires profession: Provides analysis of CAD/drawings which is particularly beneficial for product design teams, manufacturing engineers, and procurement professionals who play a role in assessing manufacturability and sourcing.  For small and mid-sized manufacturers, this can lead to a higher quote win rate and better customer service. For larger enterprises, it supports scalability across multiple product lines or factories. manufacturing, operations, efficiency, ai, automation, process Infocomm, Artificial Intelligence, Manufacturing, Assembly, Automation & Robotics

Platinum group metals (PGMs) are critical raw materials essential in diverse industries, including automotive catalytic converters, jewelry, glassware, petrochemical refining, electronics, and healthcare sectors like pharmaceuticals and dental implants. Primarily sourced through the mining of PGM ores, they constitute about 70% of the global PGM supply, with South Africa and Russia accounting for 85% of this production. This concentration in supply can lead to price gouging and market monopoly. Recycling PGMs from waste not only mitigates the supply shortfall but also reduces environmental impacts compared to mining. However, conventional recycling methods are energy-intensive, requiring temperatures around 1500°C, and involve costly downstream processing to treat waste. Furthermore, the high processing temperatures result in high-value raw materials being burnt and releasing harmful toxins. The technology owner has developed a novel biorecovery method that incorporates and modifies a series of biochemical and biological processes into a streamlined 3-stage process as opposed to the multi-tiered stages of current conventional methods used in industry. It offers the following advantages over the competition: Energy Efficiency: consumes 6x less energy than traditional methods Cost Effective: 3x cheaper in operation cost High Yield: capable of recovering multiple PGM simultaneously with high yield even from low-grade waste Sustainability: support company decarbonization goals by offering a truly green and sustainable recycling manner for spent catalyst The core process and specifications of the technology are summarised as follows: Statistically-Optimised Ultrasonication: as a key pretreatment step, this sonication method effectively removes all undesirable metals from waste, isolating PGM-rich materials, called the PGM-preconcentrated stream, enhancing the efficiency of subsequent steps. Bioextraction Technique: secondly, utilise a novel and unique bioextraction technique to extract PGMs from waste with high efficiency (i.e., 99% recycling rate per cycle for rhodium (Rh), 92-95% per cycle recycling rate for platinum (Pt) and palladium (Pd)). It can be employed at a commercial scale without compromising yield. Bioreduction, Bioaccumulation, and Bioprecipitation: a combination of these improved biological processes are used in the third step to produce PGM into powder form which further undergoes separation and purification to produce high-purity PGM products. This technology is ideal for industries that are interested to recycle their spent catalysts. The potential applications are as follows: Catalyst manufacturers Precious metal recycling companies Electronics and lithium ion battery (LIB) manufacturers Waste management companies Modular design: reduced logistics costs and downtime Lower cost (CAPEX & OPEX) compared to existing technologies Superior recovery rate: even for low-grade wastes  Sustainable and efficient recycling: offer significant step towards decarbonisation in industrial practices Biorecycling, Platinum group metals, Low carbon emission, Decarbonisation, Clean technology, Circular economy Chemicals, Catalysts, Environment, Clean Air & Water, Biological & Chemical Treatment, Waste Management & Recycling, Industrial Waste Management, Sustainability, Circular Economy

With the global rise in ageing populations and a declining birth rate, the healthcare sector is increasingly strained, particularly in the provision of therapeutic and rehabilitative services. This humanoid technology has been designed to augment the capabilities of healthcare professionals, especially therapists, by automating repetitive intervention tasks. The humanoid enables frequent and consistent client engagement, thereby promoting inclusivity and solidarity in care settings. It works collaboratively with professionals to deliver curated intervention modules with clinically evident outcomes. By relieving caregivers of routine duties, the humanoid supports a more person-centric model of care and enhances operational efficiency in eldercare environments. Ideal collaboration partners include: Care providers – Community hospitals, eldercare centres, and day-care operators interested in deploying humanoid solutions for therapeutic engagement. Therapy professionals – Clinicians and therapists seeking technology to support non-pharmacological intervention programs. Deep-tech companies – Firms with expertise in data, image, or video analytics for enhancing humanoid capabilities. Institutes of Higher Learning (IHLs) – Academic institutions conducting research in cognitive health, psychosocial screening, or elderly care innovation. The technology combines in-house capabilities in robotic hardware and application/system software development: Hardware: Realistic humanoid form with facial expressiveness and full-body articulation enabled by 50 degrees of freedom. Software: Includes social dialogue engines, animation control, application development, and system integration. Advanced features such as video analytics and IoT edge capabilities can be developed based on partner requirements. Cognitive and physical intervention programs for elderly individuals, including dementia care. Social humanoids for community engagement, outreach, and therapeutic feedback collection. Custom humanoid deployments for enterprise-level media communication and interactive content delivery. Eldercare-focused – Designed for cognitive and therapeutic engagement in ageing populations. Deployment-ready – Proven functionality in real-world care settings. Customisable content – Delivers tailored intervention modules. Care support – Automates routine tasks to free up caregivers. Scalable platform – Built for ongoing enhancement and integration. Humanoid, Robot, LLM, Dementia Care, Eldercare, Dementia, Cognitive Health Sustainability, Sustainable Living

The world faces a mounting challenge in feeding a growing population projected to reach 9.7 billion by 2050 (United Nations). This increase drives demand for high-quality protein, but traditional sources like livestock, poultry, and fish are resource-intensive (e.g., water, land, feed), environmentally harmful (GHG emissions, deforestation) and increasingly unsustainable. With high efficiency, low emissions, and strong nutritional value, insect protein offers a sustainable alternative to conventional meat sources—especially relevant in urbanized, climate-conscious societies seeking innovation in food systems like Singapore. Crickets possess subtle flavours reminiscent of crustaceans, making them an excellent addition to our fried crackers. This familiar taste profile is particularly advantageous in Southeast Asia, where prawn crackers (Keropok) are a beloved snack. By leveraging this familiarity, this technology hopes to achieve greater consumer acceptance and rapid market adoption. These versatile crackers can be savoured as a delightful snack or paired with traditional dishes such as Nasi Lemak. Whether enjoyed as a standalone treat or as an accompaniment to a meal, these cricket-infused fried crackers offer a unique and flavourful experience that bridges the gap between innovative food trends and cultural culinary traditions. The method of processing leverages the equipment available and suitable for all standard commercial kitchens e.g. steams, dehydrators, mixers and fryers, thus allowing for lower set-up costs and being scalable to large production quantities. In addition, the recipe does not use any specialised ingredients such as modified starches, additives, preservatives. Starches used are mostly native which means the cost generally be lower and easier to source for. This makes for a relatively clean-label product. The production steps are shown below: Mixing of ingredients Precooking and drying of mixture The dried pieces are deep-fried in hot oil until crispy and golden brown This product is intended to be a high protein snack, with protein content estimated to be around 12%. It also does not contain trans fats. Sodium content can be adjusted with formulation. This makes it a healthier alternative to conventional snacks like potato chips. The shelf life of this product is estimated to be at least 6 months in proper packaging under ambient and higher if nitrogen flushed. This Cricket Keropok serves as a versatile base snack that can be customized with various ingredients, seasonings, and flavours to cater to different taste preferences and market demands. Flavour Variations with Seasonings & Spices (e.g. Mala / Seaweed) Dipping & Pairing Options (e.g. Served as a dipping snack with sauces like sambal, garlic aioli, or yoghurt-based dips) Functional & Health-Oriented Applications (e.g. High-Protein Snack – Marketed as a nutritious, protein-rich alternative to regular crackers) Innovative Culinary Uses (e.g. Crushed as a topping for salads or soups) Scalable with common kitchen equipment Clean label and free of additives Healthier choice snack Sustainable & eco-friendly protein source Customisable & versatile to cater to diverse consumer preferences Alternative Protein Source, High Protein Snack, Food Sustainability, Circular Economy, Eco-Conscious Eating, Sustainable Living Foods, Ingredients, Sustainability, Circular Economy

Monitoring safety and productivity on industrial sites is traditionally manual, error-prone, and resource-intensive. Supervisors often struggle to monitor multiple CCTV feeds, leading to missed incidents and project delays. This technology leverages AI-powered video analytics to automate the detection of safety violations—such as missing PPE, high-risk behavior, and productivity lapses—without the need for constant human oversight. In Singapore alone, over 3,000 construction-related injuries and 17 fatalities were reported in 2023, underscoring the need for smarter solutions. Beyond real-time alerts, the system delivers actionable insights to support long-term safety improvements and operational efficiency. The technology owner is seeking system integrators and software companies for R&D collaboration and test-bedding. This technology is hardware agnostic and is compatible with any IP camera or network video recorder to retrieve and analyze the video feed in real-time and provide alerts that can be sent to various messaging platforms. A server is deployed to provide the full spectrum of services such as running the software, triggering alerts, as well as the dashboard. This technology is enabled by the large construction datasets that powers object detection and tracking. The current range of detection includes scenarios such as barricade removal, workers working at height or under lifted load, safe distancing, and presence of workers in high-risk zones, PPE and more. Besides the detection of high-risk scenarios, this technology can also track productivity insights such as construction floor progress or precast lifting times. Deployment for existing use-cases can typically be completed within 1 to 3 weeks, allowing for quick integration and value realization. For newer or customized applications, the deployment timeline may vary depending on the complexity of the detection requirements and site-specific conditions. This technology can be applied across multiple industries, offering both safety monitoring and advanced analytics capabilities Construction Detection of missing PPE, unsafe behavior, and high-risk activities Time-lapse services for project progress tracking and reporting Manufacturing Monitoring worker compliance and detecting workflow bottlenecks Enhancing factory floor safety with real-time alerts Maritime & Port Operations Safety surveillance in dockyards and cargo handling zones Monitoring restricted area breaches and operational hazards Oil & Gas Detecting proximity to hazardous zones and PPE compliance Supporting incident analysis in high-risk environments Smart Cities & Facility Management License plate recognition for access control Detection of illegal parking, speeding, and vehicle trespass Medium to large construction projects are often delayed and experience cost overruns, which can be significantly improved through significant productivity gains, cost savings and early risk identification just by enabling end users to have a better understanding of their operations wherever they are which would make this a very attractive solution. Significantly improve safety hazard detection and compliance with automatic 24/7 monitoring Increase in productivity by reducing manual site inspections of up to 50% Early identification of risks to plan for mitigation Reduce human errors and ensure consistency   safety, AI, Analytics, construction Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Artificial Intelligence

With the integration of monitoring electronics into our everyday lifestyle, such as wearables, the utilisation of flexible electronics becomes more apparent as users demand them to not impede into their daily activities while being operational due to their ability to be deployed in areas with mechanical motion. Conventional flexible printed circuits (FPC), due to use of non-stretchable substrates, struggle under various constant deformation, resulting in poor adhesion, poor electrical contact and even pressure points which potentially limits normal operation. With discomfort and limitation on their motions, users are also less inclined to adopt these wearable solutions. The technology owner has leveraged on their expertise in stretchable substrates and conductive ink to develop a stretchable printed circuit (SPC), which have the ability to maintain contact and performance comparable to a rigid printed circuit under repeated deformation, such as stretching and twisting. The developed SPC enables existing electrical and semiconductor components to be mounted, eliminating any need for proprietary electrical components, while fully operational under external environmental conditions. The technology excels in larger surface application with semi-disposability in mind while having good adhesion and comfortable on skin. The technology owner is currently seeking industrial collaborators looking to explore use-cases, such as medical equipment development and diagnostic devices, whereby electrical performance can be maintained while providing mechanical flexibility. The technology solution leverages on the owner’s technical knowhow by integrating stretchable substrate and conductive ink to develop a stretchable circuitry while designed to ensure customisation of wiring and components, much like a printed circuit board (PCB). This eliminates the shortfall of flexible printed circuits while maintaining electrical performance. The key features include: Thickness of each layer is about 100 μm Higher insulation and reliability due to suppression of ion migration occurrence Designed for disposability / semi-disposability Operating temperature and humidity of up of 40 degC and 95%RH respectively Mounting electrodes are designed to accept normal rigid semiconductor and electronic components Possible miniaturisation of existing devices due to higher density of component and wiring (compared to FPC) Coating and encapsulation enable possible laminating of shield layer to reduce signal noise, improving performance Compliance with ANSI / AAMI EC12 and ISO10993 based on in-house testing With the technology solution providing the electrical performance of rigid circuit while eliminating drawbacks of existing flexible printed circuits, there are potential applications that this stretchable printed circuit is able to be deployed, which include: Wearable Biometric Sensors: For continuous monitoring and tracking of vitals, especially for sensitive skins (e.g. young children) Skin Patches: For reliable controlled drug delivery and real-time diagnostics even in emergency situations Smart Wound and Post-Surgery Monitoring: Monitoring and optimisation of wound healing environment The developed stretchable printed circuit is designed to ensure rigid semiconductor and electronic components can be mounted for potential replacement of existing circuitry. In addition, due to its stretchability, it can maintain conductivity while under repeated deformation during operation, highlight its robustness and performance. With the inclusion of the coating layer, the circuitry encapsulated is able to operate in high humidity environment while maintaining insulation, showcasing its high reliability. Stretchable Printed Circuit (SPC), Flexible Printed Circuit (FPC), Biomarker, Sensing, Disposable, Semi-Disposable Electronics, Printed Electronics, Sensors & Instrumentation, Healthcare, Medical Devices

This technology comprises two AI-powered software solutions that automate radiological image analysis to support the diagnosis and evaluation of knee osteoarthritis (OA) and lower limb alignment. One module enhances musculoskeletal diagnostics by detecting radiographic features such as joint space narrowing and osteophytes using criteria like Kellgren & Lawrence grading. It enables standardized, automated evaluations that support radiologists and orthopedic professionals in making accurate assessments. A complementary module focuses on analyzing lower limb alignment by measuring critical anatomical parameters including the Hip-Knee-Ankle angle, Joint Line Convergence Angle, and Mechanical Lateral Distal Femoral Angle. These automated assessments reduce human error and reading time while improving diagnostic accuracy and consistency. Designed for seamless integration with Picture Archiving and Communication Systems (PACS), this system fits effortlessly into existing radiology workflows. Target adopters include hospitals, imaging centers, orthopedic clinics, and telemedicine platforms seeking improved efficiency, diagnostic consistency, and enhanced musculoskeletal healthcare outcomes. The solution functions as Software as a Medical Device (SaMD), capable of receiving, analyzing, and reporting on X-ray images in DICOM format. Key components include: Image Input Module – Processes digital X-ray images using standard DICOM protocols. AI Analysis Engine – Utilizes a deep learning model to identify pathologies and quantify disease progression. Visualization & Reporting Module – Produces intuitive diagnostic visuals to support clinical decision-making. PACS Integration Interface – Ensures seamless integration with hospital IT systems via standardized protocols. By automating diagnostic workflows, the software supports earlier, more accurate diagnoses and helps optimize healthcare operations. Orthopedic & Radiology Departments: Supports image-based OA detection, severity grading, and leg alignment evaluation. Hospitals & Clinics: Enhances diagnostic workflows, reduces inter-reader variability, and facilitates second opinions. Health Screening & Telemedicine Services: Enables AI-assisted remote screening and preventative care programs. Insurance Providers: Supports value-based care through risk stratification and outcome-driven reimbursement frameworks. This technology enhances diagnostic precision, streamlines clinical workflows, and reduces cost and error through AI-powered automation: For Clinicians: Provides reliable, standardized imaging assessments, bridging expertise gaps between junior and senior staff. For Patients: Delivers early diagnosis and accessible insights, improving treatment outcomes and engagement. For Healthcare Systems: Cuts unnecessary procedures, improves resource use, and enhances productivity. By automating and standardizing musculoskeletal imaging analysis, this technology provides a scalable, cost-effective, and clinically validated solution that enhances diagnostic precision, operational efficiency, and patient care. Healthcare, Diagnostics, Medical Devices, Telehealth, Medical Software & Imaging

This non-invasive wearable integrates advanced photoplethysmography (PPG) sensing with a proprietary Pulse Shape Variability (PSV) algorithm to deliver real-time insights into stress levels linked to blood pressure fluctuations. Unlike conventional wearables that rely solely on heart rate or HRV, this technology analyzes the full morphology of the pulse waveform, capturing dynamic changes in amplitude, rise time, and contour that reflect vascular tone modulation caused by psychological stress. The result is a highly responsive and motion-tolerant stress detection platform that functions effectively in real-world conditions. By transforming microvascular signals into actionable insights, the solution enables proactive stress awareness, personalized wellness coaching, and context-aware emotional feedback, unlocking new opportunities in digital health, telemedicine, fitness, and mental wellness ecosystems. The technology owner is primarily seeking industry adopters and solution partners including medical institutions, device manufacturers, software developers, and fitness centers, who can integrate the technology into real-world applications with interest in deploying the system for use cases such as mental wellness, stress monitoring, fitness optimization, and remote healthcare. They also welcome collaboration with subject-matter experts to jointly enhance the algorithm and explore new features or application areas. This wrist-worn wearable captures and processes high-resolution biometric signals using integrated optical and motion sensors, enabling detailed physiological monitoring through advanced signal analysis. Signal Acquisition: Photoplethysmography (PPG) and Accelerometer (ACC) signals Derived Metrics: Heart Rate (HR) Blood Oxygen Saturation (SpO₂) Pulse Shape Variability (PSV) – derived from pulse waveform morphology to assess stress-related vascular responses Sleep Parameters: REM and NREM sleep stages Total Sleep Time (TST) Apnea-Hypopnea Index (AHI)  Activity Data: Step count and movement recognition System Capabilities: Real-Time Stress Detection: Continuous analysis of physiological stress signals with no need for user calibration Operates effectively during both rest and typical daily movement Motion-Tolerant Signal Processing: Proprietary algorithms reduce noise from physical activity, enabling reliable readings in dynamic conditions This wearable stress and health monitoring technology has broad applications across healthcare, wellness, fitness, and cognitive performance domains. Its ability to deliver continuous, non-invasive physiological insights makes it suitable for a wide range of use cases: Healthcare & Telehealth: Continuous patient monitoring, early detection of stress-linked health risks, and remote management of chronic conditions, particularly for mental health, cardiovascular, and sleep-related concerns. Medical Concierge & Premium Wellness Services: Personalized health monitoring for high-net-worth individuals, offering tailored stress and wellness insights, real-time biometric updates, and proactive intervention strategies. Mental Wellness & Stress Counselling: Real-time monitoring of stress indicators to support therapists, coaches, or counselors in delivering timely, personalized stress management interventions. Fitness & Recovery Optimization: Accurate tracking of heart rate and stress levels during and post workouts, enabling intelligent recommendations for training intensity, rest periods, and recovery quality. Workplace Well-being & Performance: Monitor cognitive load and emotional strain in high-performance environments, enabling preventive strategies for burnout and stress-related fatigue. Smart Devices & Platform Integration: Embedding into smartwatches, fitness trackers, or medical-grade wearables, with seamless connectivity to digital health apps, dashboards, and remote care platforms. This wrist-worn device offers a significant advancement over current health monitoring solutions by leveraging advanced photoplethysmography (PPG) technology combined with a proprietary Pulse Shape Variability (PSV) algorithm. It delivers highly accurate and continuous tracking of vital signs, including heart rate, SpO₂, and stress-related biomarkers—with minimal interference from physical movement, making it ideal for real-world, everyday use. Unlike conventional wearables that rely on basic HR or HRV metrics, this solution analyzes the full morphology of the pulse waveform to detect subtle changes in vascular tone associated with psychological stress. This allows users to correlate emotional states with verbal expressions and behavior, enabling more mindful, data-driven self-awareness and health management. The device’s motion-tolerant design, real-time data transmission, and non-invasive operation ensure consistent performance even during physical activity. Its seamless integration with health platforms and apps further enhances usability, positioning it as a versatile tool for individuals, clinicians, and wellness providers. Ultimately, this technology empowers users to make informed decisions about their stress levels, recovery, and overall well-being—bridging the gap between biometric sensing and emotional health insight in a user-friendly wearable format. Photoplethysmography, PPG, Pulse Shape Variability, PSV, Stress Detection, Wearable, Wellness, Non-Invasive Monitoring Healthcare, Diagnostics, Infocomm, Wearable Technology