TECH OFFERS

Manual built environment inspection suffers from multiple issues such as shortage of manpower, human error and miscommunication. To overcome these issues, there is a need for an automated and centralized inspection system capable of detecting multiple defects of interest and presenting the inspection results in an easy to access format. The technology presented uses data acquired from LiDAR and Cameras mounted on an autonomous robot to inspect building interiors and external facades. The system utilizes an AI engine and can accurately detect defects such as cracks, holes, and other built imperfections stated in building quality guidelines such as CONQUAS. Defect reports can be autonomously generated after the acquired image and LiDAR data has been processed by the AI analytics engine.  The system is composed of an autonomous robot with a mounted camera and LiDAR and has the following features - Support for multiple hardware platforms such as wheeled robots and drones to allow the use of most suitable means of inspection. AI based defect detection for cracks, holes, stains, cornerness, and other structural and visual defects at >3mm unevenness. Capability to inspect for air quality, hazard detection and safety monitoring (PPE Detection). Simple and intuitive user interface with customizable repots minimizing possibility of miscommunication. Generation of defect reports compliant to Singapore Building and Construction Authority recommendations for Built Environment - CONQUAS. Defect and user management system. Capability to integrate with external Building Information Management (BIM) systems and third party apps. The system can be used for digitalization and autonomous inspection of built environments. It covers both the indoor and outdoor inspection by allowing use of multiple robot platforms. With the removal of manual inspection requirements, the system helps improve the consistency and objectiveness of inspections and helps in increasing productivity. The technology is applicaple for tasks related to management of a building from construction to maintenance. By automating and centralizing the built environment inspection, the system improves productivity, significantly reduces the time required by the inspection process, and improves the safetly of the personnel involved. The solution is useful during the entire lifecycle from construction to maintainence and provides automated reports compliant to recommendations of the Singapore Building and Construction Authority. The solution can potentially cut down the time required for inspection by several hours per residential or commercial unit. Building Indoor and Facade Inspection, Built Environment Inspection, CONQUAS, CIS-7, Quality Assessment Electronics, Sensors & Instrumentation, Infocomm, Video/Image Analysis & Computer Vision, Artificial Intelligence

Vision-based Artificial Intelligence (AI) models require substantial time to train, fine-tune and deploy in production. After production, this process is still required when performance degrades and re-training on a new dataset becomes necessary; this maintenance process exists throughout the model's lifetime to ensure optimal performance. Rather than embarking on the time-consuming and painful process of collecting/acquiring data to train and tune the AI model, many organisations have turned to the use of pre-trained models to accelerate the AI model development process. This technology consists of a suite of pre-trained models that are intended to detect food, human behaviours, facial features and count people. These AI models are operable on video footage and static images obtained from cameras. Models are tuned and trained on various use-cases and are accessible via API calls or embedded within software as a Software Development Kit (SDK) library. These models can be deployed as AI as a Service on Microservices platform providing customer data protection with blockchain technology. With customer protection enhanced with blockchain technology, AI Model performance can further be enhanced to meet customer requirement.   The technology consists of a suite of pre-trained AI models that provide high accuracy (over 80%) and can be further customised to improve accuracy and adapted to different use-case scenarios. Models can be integrated in the following ways:  Installed library package embedded within software on-device/on-premise HTTP-based Application Programming Interface (API) calls with video/image data to cloud-installed library package The following are the features for various AI models: Abnormal Behaviour Recognition Continuous monitoring and detection of abnormal human behaviours e.g. fighting, loitering Event Detection Recognises a variety of subjects and events e.g. sports day, graduation, wedding, festival, Christmas, from video footage Optimised for lightweight compute capability (Intel OpenVino) Food (Fresh and Packaged) Recognition Real-time detection of fresh and packaged foods Detects abnormal fresh food or defective packaged food Classifies food types e.g. lotus, spinach, cucumber, radish etc. Optimised for low compute capability Privacy-Preserving Person Recognition Privacy preserved people detection, counting and human activity recognition Images are blurred to preserve private information that can lead to personal identification (irreversible) Optimised for lightweight edge computing Free (Empty) Space Recognition Semantic segmentation to identify empty spaces Customisable for any free-space detection scenario High accuracy in night scenes Safety Monitoring Object detection with prohibited and allowed zones (e.g. person or forklift) Detects and identifies safety risks associated with safety distances Enables audible alarm systems of abnormal situations Wellbeing and Safety Detection Automatically detects and classifies nudity images from images  Enables alerts to be delivered to parent/caregiver's device Customisable to detect new categories of inappropriate content This technology offer comprises a suite of AI models for the following applications: Abnormal Behaviour Recognition Public areas or areas where social order needs to be maintained e.g. food & beverage, entertainment establishments Event Detection Automatic creation and/or organisation of media content i.e. photo classification Automated adjustment of device hardware parameters e.g. audio, colour, brightness when displaying specific types of content e.g. sports Food (Fresh and Packaged) Recognition Food stock level detection, food inventory management Automatic detection of fresh/packaged goods within a constrained area Privacy-Preserving Person Recognition Privacy protection of visual information, in high traffic areas, without deterioration of video quality Free (Empty) Space Recognition Vehicle position localisation on roads Navigation (free-space localisation) in partial/fully self-driving automotive vehicles Identification of free storage spaces in the logistics industry Safety Monitoring Automated compliance checks Workplace safety analysis and tracking Wellbeing and Safety Detection  Parental control in browsers, smartphones or other image storage devices e.g. Network Attached Storage (NAS), Solid State Drives (SSD) AI Models were rigorously tested in the fields of different scenarios. The microservice platform where AI Model ingest the visual data streams offers a secure customer data protection and privacy using blockchain technology. Making this Microservice platform capable of tracking customer’s data usage and thus ensure privacy when AI model operating on the platform are simultaneously improved using unique customer data captured on customer’s premise. Accelerate AI development - eliminate the need for dataset creation, annotation, tuning and testing Customisable AI models - fine-tuned to environment and condition Operational support to continuously improve AI accuracy from newly collected data   event detection, abnormal human behaviour recognition, safety monitoring, food package detection, food freshness, nudity detection, empty space Infocomm, Video/Image Analysis & Computer Vision, Video/Image Processing, Artificial Intelligence

The Make Invisible Muscle Visible (MIMV) System is a non-invasive platform designed for full-spectrum muscle activity monitoring with high spatial and temporal precision. At its core lies a 20-channel high-density surface electromyography (HD-EMG) sensor array that wraps around a limb—such as the arm or leg—like a flexible brace, enabling comprehensive capture of both superficial and deep muscle activity. Real-time amplification and analog-to-digital conversion are embedded within the wearable unit, eliminating signal degradation and motion artifacts. This allows dynamic, wireless monitoring via Wi-Fi during actual movement, setting a new benchmark for muscle analytics in both research and applied settings. What sets the MIMV System apart is its ability to estimate deep muscle activation from surface-level data, enabled by a proprietary model-based signal processing algorithm. This makes the technology exceptionally versatile for diverse use cases—from analyzing intricate muscle coordination in elite athletes, to diagnosing and rehabilitating patients with neurological or movement disorders, to preserving and transmitting expert motor skills in traditional craftsmanship and skilled labor training. To maximize its potential impact, the technology owner is actively seeking collaborative partners such as clinical researchers in neurology and rehabilitation, companies developing wearable medical or sports performance technologies, and organizations dedicated to skilled labor education and movement training. These partners will play a critical role in co-developing real-world applications, validating performance in clinical and athletic contexts, and accelerating market deployment across healthcare, sports science, and vocational training sectors. 20-channel EMG sensor array adaptable to limbs (arm, leg, thigh) - enabling the measurement of muscle activity from all directions  Real-time signal amplification and A/D conversion within the wearable device Wireless transmission via Wi-Fi for untethered, high-fidelity monitoring Model-based estimation algorithm reconstructs deep muscle activity Compact, lightweight, and suitable for dynamic use in clinical, athletic, and training environments Sports and Fitness: Integrated into wearable performance tech to optimize elite athletic training and reduce injury risk Healthcare and Rehabilitation: Diagnostic and rehabilitative use for neurological and musculoskeletal conditions such as stroke, dystonia, and Parkinson’s disease Craftsmanship and Skilled Labor: Capture and documentation of expert motor skills for training, simulation, and education The growing global focus on athletic performance, movement disorders, and remote diagnostics is driving demand for intelligent, wearable muscle assessment tools. The MIMV System offers a scalable solution that aligns with healthcare digitalization, the quantified-self movement in sports, and industry 4.0 training platforms. The MIMV System offers a breakthrough in muscle activity monitoring by enabling full-circumference, high-resolution measurement of both superficial and deep muscles in real time. Unlike traditional EMG systems that are limited to surface data and often rely on wired setups, the MIMV System features a 20-channel wearable sensor array with integrated amplification and wireless transmission. This allows it to capture clean, synchronized data even during dynamic movement. Its model-based algorithm reconstructs muscle activation patterns based on anatomical structure, enabling non-invasive estimation of deep muscle activity—something conventional systems cannot achieve. With its compact, user-friendly design and comprehensive data output, the MIMV System is ideally suited for applications in sports science, clinical rehabilitation, diagnostics, and the transfer of skilled motor techniques. Why the MIMV System Stands Out: Captures both surface and deep muscle activity in real time Wearable and wireless, suitable for movement and dynamic use Accurate and clean signals with built-in processing (even during complex motion)  Enables non-invasive insight into deep muscle activation patterns (not achievable with traditional methods) Supports sports training, clinical rehab, diagnostics, and skill learning Muscle activity monitoring, EMG, Noninvasive Full-spectrum Muscle activity monitoring, Neuromuscular disorders, High-density surface electromyography (HD-EMG), Sports Science Energy, Sensor, Network, Power Conversion, Power Quality & Energy Management, Healthcare, Diagnostics

The Internet has become the de-facto medium for many enterprises to carry out their business functions. By relying on public-key encryption to ensure confidentiality and authenticity of data, employees and customers are able to use a variety of public channels via web browsers, emails and mobile apps to send and receive sensitive information securely. However, this promise of confidentiality and authenticity is being compromised with the advent of quantum computers. With the potential rise of exponentially powerful quantum computing, current data encryption algorithms are not resilient enough for such hidden quantum cyberattacks, specifically harvest-now decrypt-later (HNDL) attacks, resulting in data leaks and undermining privacy. The technology owner has leveraged on their proprietary post-quantum cryptography (PQC) implementation to develop a software module to provide and enhance existing end-to-end data encryption, ensuring resilience to quantum cyberattacks while maintaining confidentiality and authenticity of data. By utilising Key Encapsulation Mechanism (KEM) and JavaScript, it is compliant with evolving cybersecurity standards while being lightweight and dynamic enough to be loaded and executed without installation or configuration. This enables the technology solution to be flexible, scalable and user-friendly. The technology owner is currently working with an organisation to further develop industrial applicable solutions. The technology owner is seeking collaboration partners, such as system integrators, independent software vendors, solution providers and end-users, who require an enhanced and compliant data encryption for the finance, government and healthcare industries. The technology solution, in a form of a software module, leverages on their proprietary PQC cryptographic implementation to secure confidentiality and authenticity of data. Some specifications of the module include: Compliance to National Institute of Standards and Technology (NIST) PQC encryption method Utilises combination of ML-KEM-768 (FIPS 203) and AES FIPS 197 algorithms for secure key establishment Client-side JavaScript library with possible enterprise integration with hardware security modules (KSM), e.g. OTP device No installation or configuration required Optimised to run dynamically on devices and platforms With the above specifications, this quantum-resistant software solution has the following features: Supports and enhances existing end-to-end data encryption to be quantum resilient User friendly with processes being executed at backend. Does not require technical expertise to deploy, use and maintain Flexibility in integration to new or existing infrastructures Lightweight and scalable for fast and rapid deployment ith the potential rise of quantum cyberattacks, especially HNDL attacks, private information and data can potentially be vulnerable and compromised. Hence, any application transmitting sensitive data via web browser or mobile applications requiring heightened cybersecurity will greatly benefit from it. Examples of such applications include, but not limited to: Digital interaction and conversations with customers Customer portal for transaction and filing purposes Secure file transfer and email to via internet or intranet Digital entry requiring sensitive information Online transaction requiring private information The software module protects against quantum threats, such as HNDL attacks, by leveraging on their proprietary PQC encryption implementation, ensuring secure end-to-end encryption of data between web browser and organisation. Utilising a hybrid combination of ML-KEM-768 and AES FIPS 197 algorithms, it provides compliance to NIST standards to be quantum resilient. With the solution deployed on JavaScript, it is dynamic and integrates seamlessly with existing infrastructure backend, maintaining existing end-user experience. The software is efficient and resource light while being scalable. With the adoption of such technology solution, it enables organisation to pre-emptively fortify their digital security for an incoming post-quantum world. Post-Quantum Cryptography (PQC), Quantum Cyberattacks, Cyberattacks, Cryptographic Encryption, Web Page Security, Harvest-Now Decrypt-Later (HNDL), Key Encapsulation Mechanism (KEM), JavaScript Infocomm, Security & Privacy

Reimagining how healthcare data is analyzed, this platform enables advanced data science without moving a single byte of patient data. Designed from the ground up to comply with global privacy regulations, it allows hospitals and research institutions to develop powerful AI models using real-world clinical data—while keeping that data entirely on-site under governance. Powered by proprietary federated learning and a modular AI/ML development toolkit, the platform solves one of healthcare’s biggest bottlenecks: secure access to data for innovation. With seamless integration into existing IT systems and end-to-end compliance with GDPR and HIPAA, this is the infrastructure for the future of privacy-first, multi-institutional healthcare data analytics and AI/ML. The technology owner is actively seeking collaboration with healthcare providers, research institutions, clinical research organizations, and data-centric health-tech companies eager to scale innovation—without compromising privacy or control. The platform is an advanced, modular software framework comprising secure data integration pipelines, federated learning capabilities and real-time analytics tools. Its key components include: Federated Learning Infrastructure: Enabling multi-centre data collaboration without transferring sensitive data. AI/ML Model Development Suite: Customizable tools for predictive analytics tailored to healthcare needs. Interoperability APIs: Seamless integration with existing health IT systems. Advanced Security Protocols: End-to-end encryption and compliance with global data protection standards. The platform is a versatile platform purpose-built to power a broad spectrum of data-driven healthcare applications. It supports not only advanced medical research, but also the development of AI/ML solutions for diagnostics and clinical decision support across any medical domain, as well as AI-powered population health management and precision medicine initiatives. Its capabilities extend to clinical trial analytics—such as simulation, and optimization — and the integration of complex healthcare datasets, including genomic and real-world data. With its privacy-first federated learning architecture, the platform enables secure, multi-institutional collaboration without transferring or centralizing sensitive data. This makes it especially valuable for high-impact use cases like rare disease research, where combining insights from multiple centers across the globe can overcome single center data limitations and drive meaningful discoveries. The platform has been successfully deployed at Seoul National University Bundang Hospital (SNUBH) to support the development of real-world clinical AI models—demonstrating its readiness for mission-critical healthcare environments. One key application was in building an AI model to predict comorbidity risks in patients with type 2 diabetes, enabling proactive clinical intervention for conditions such as cardiovascular disease, kidney failure, and diabetic retinopathy. In a separate initiative, the platform powered the development of an AI-based antibiotic stewardship model—replacing what is typically a manual, labor-intensive process. Traditionally, stewardship programs require clinicians to retrospectively review patient records to detect inappropriate antibiotic use. With the platform, diverse clinical datasets were securely integrated and analyzed on-site, allowing the AI to flag high-risk patients in near real time. The result was a significant reduction in manual workload, faster clinical decision-making, and improved program scalability. These real-world deployments underscore the platform’s ability to accelerate healthcare innovation while maintaining full data privacy and governance.   Privacy-Preserving by Design: Enables AI development and collaboration without transferring or centralizing patient data — ensuring full compliance and trust. Built for Real-World Healthcare with Flexibility and Scalability: Deployable on cloud or on-prem, Enobase adapts to diverse data environments and project needs — scaling effortlessly to support anything from single-site pilots to multi-institutional collaborations. Accelerates Scalable Innovation: Powers rapid development and deployment of AI for diagnostics, population health, and clinical decision support — across institutions and borders.     Healthcare Data Science, Federated Learning, AI/ML, Data Privacy, Medical Analytics, Secure Data Infrastructure, Data Platform, Cloud Agnostic Healthcare, Medical Devices, Telehealth, Medical Software & Imaging, Infocomm, Healthcare ICT

Early detection of Mild Cognitive Impairment (MCI), especially the vascular subtype, is becoming increasingly important as populations age and the burden of dementia rises globally. Approximately 12% to 18% of people age 60 or older are living with MCI, and an estimated 10% to 15% of individuals living with MCI develop dementia each year — many of which could benefit from timely intervention to slow or prevent further cognitive decline. This digital solution offers a non-invasive, self-administered cognitive screening tool that can be completed in just 15 minutes via a mobile device or tablet. It uses a series of interactive, neuroscience-informed digital tasks to assess multiple cognitive functions, including working memory, attention, processing speed, and executive function. These areas are particularly relevant in identifying different subtypes of MCI, such as those related to vascular causes. The system’s proprietary algorithm analyzes the user’s performance and has been clinically validated in Southeast Asia, achieving 89% accuracy with strong specificity and sensitivity. Its objective, performance-based design makes it suitable for deployment across various healthcare settings—from hospitals and clinics to insurers and community screening programs. By offering a quick, engaging, and scalable method for cognitive screening, this solution supports earlier identification of cognitive changes and provides actionable insights that can help guide appropriate follow-up care based on the individual’s cognitive profile. At the heart of the solution is a suite of neuroscience-backed digital games, purpose-built to evaluate key cognitive domains—working memory, attention, processing speed, and executive function. These interactive tasks generate performance data processed by a proprietary classification algorithm. Clinically validated in Southeast Asia through a study involving 250 participants, the tool demonstrated a classification accuracy of 89%, with specificity and sensitivity rates of 83% and 85% respectively. This solution can be widely adopted across various healthcare ecosystems, including: Hospitals GP clinics  Healthcare insurance providers Wellness centres  It also opens up opportunities for commercial products such as corporate cognitive wellness programs and dementia-specific insurance plans, enhancing value propositions for insurers and health-focused employers alike. Current MCI detection methods typically rely on MRIs and detailed neuropsychological testing—both of which require trained personnel, extended patient interaction, and significant costs. In contrast, this digital tool provides: A self-administered test No need for specialist oversight Completion in under 15 minutes An engaging, gamified interface The result is a highly scalable and accessible cognitive screening method that maintains clinical rigour while ensuring ease of use and user engagement—crucial for widespread adoption in diverse populations. Dementia, Mild Cognitive Impairment, Cognitive Health Healthcare, Diagnostics, Telehealth, Medical Software & Imaging

In a world where consumers expect fast, intuitive, and personalised interactions, traditional phone-based customer service systems often fall short—plagued by long wait times, clunky menus, and impersonal scripts. This Generative Voice AI technology offers a transformative alternative: highly localised, low-latency AI Voice Agents that communicate with human-like fluency, adapted to regional languages and accents including Singlish, Mandarin, Bahasa, and Malay. Built on a proprietary orchestration layer that integrates multiple advanced AI models—such as speech recognition, large language models, and natural speech synthesis—this solution delivers seamless, real-time voice interactions with remarkable accuracy and responsiveness. Not only can Voice AI Agents reduce call wait times to zero and improve customer satisfaction for companies, it can also do outbound sales and lead qualification to generate higher revenue. Beyond traditional roles, these Voice AI Agents are also redefining interactive experiences across industries. Imagine a multilingual guide replacing static audio tours in museums and travel hotspots, or a virtual assistant enhancing patient navigation in healthcare settings. In gaming, they enable real-time, unscripted conversations with non-player characters (NPCs), adding depth and realism to gameplay and storytelling. These are not just voice interfaces—they're intelligent conversational agents. The tech owner seeks industry partners and system integrators to embed their proprietary technology into pre-existing software to add value and transform customer experience in sectors such as F&B, Healthcare, Marketing, Tourism, E-Commerce, Hospitality, Insurance, Financial Services, Gaming etc. Cascading ASR System: Integrates speech-to-text, LLMs, text-to-speech, and contextual models to simulate intelligent, fluent conversation. Telephony-Optimised: Ensures high call quality and response accuracy over phone lines. Proven Outcomes: Over 60% cost savings over human agents. Average 30% improvement in customer satisfaction. 10x increase in lead qualification and revenue-driving interactions. Customer Support & Sales Across industries such as financial services, insurance, e-commerce, education, BPOs, marketing, and hospitality, the AI Voice Agent automates high-volume interactions with natural, real-time conversations. It handles inbound support, outbound lead qualification, appointment setting, policy inquiries, and product recommendations—reducing manpower cost while improving satisfaction and conversion rates. Interactivity Enhancement The technology also opens up opportunities beyond conventional customer service, enhancing user engagement in more immersive and context-specific environments: Healthcare: Acts as a multilingual virtual assistant for patients—offering appointment reminders, explaining medical procedures in simple terms, guiding post-treatment care, and supporting chronic condition management. In clinical settings, it can function as a digital triage or nurse assistant, freeing up staff for higher-value tasks. Hospitality: Powers smart concierge agents capable of handling guest queries, local recommendations, service requests, and upselling—available 24/7 in the guest’s preferred language. Tourism: Replaces static audio tours with dynamic, conversational voice guides that adapt to visitor interests, languages, and local context. Education: Supports learning through AI-driven teaching assistants that respond to student queries, reinforce concepts, and provide explanations tailored to individual learning styles. Gaming: Enables interactive, unscripted voice conversations with non-player characters (NPCs), making game environments more immersive, responsive, and emotionally resonant. Where many voice bot platforms require deep technical know-how and still deliver robotic-sounding results, this Voice AI Agent flips the script. Its proprietary orchestration layer brings together the best of today’s AI ecosystem—streamlining complexity to deliver a natural-sounding, adaptive voice that feels like a real person on the other end. Unlike process-driven bots, this solution handles unstructured queries with intelligence, personality, and local linguistic flair—whether in Singlish, Mandarin, Bahasa, or beyond. It’s optimised for real-world usage, delivering results not just in ideal lab conditions, but on live phone calls with diverse users. Voice AI, Generative AI, Customer Service, Localised Language, Singlish Infocomm, Artificial Intelligence, Speech/Audio Analysis & Speech Recognition

This novel technology introduces a breakthrough self-assembly porous hydrogel platform that revolutionizes drug delivery, going far beyond the limitations of traditional static creams and non-porous emulsions. The unique porous hydrogel structure demonstrates an 85% increase in drug bioavailability through enhanced penetration and controlled release, compared to traditional formulations that create impermeable barriers. The innovative one-step drug delivery system achieves a 20-fold reduction in manufacturing costs by eliminating multiple complex steps typically required in conventional processes, such as vehicle manufacturing, formulation and purification. Through its distinctive porous architecture, this streamlined approach delivers enhanced therapeutic outcomes while maintaining production efficiency. Especially on eczema, this technology represents a breakthrough in treatment by addressing the multifactorial nature of the disease. Traditional eczema therapies typically target only one or two aspects of the condition, often leading to limited efficacy and undesirable side effects. In contrast, this delivery method enables the simultaneous modulation of several key pathological pathways. It specifically targets inflammation, oxidative stress, proteasome dysfunction, and ferroptosis while also enhancing skin barrier function—critical factors in both the onset and persistence of eczema. This potentially reduces flare-ups and improves overall skin health. This technology is applicable as an over-the-counter advanced topical formulation and as injectables. The technology provider is seeking the following collaborations: Co-development opportunities Patient centric non-profit organisations to support life-changing treatments. Dermatology focused clinics Formulation focused CRO/CDMO working on complex medicines Startup companies working on new modalities or novel API including oligo medicines AI/ML-driven drug discovery firms. Leverage predictive modeling to optimize key properties, such as porosity and drug loading ratios This advanced hydrogel drug delivery system employs an aqueous two-phase system (ATPS) to facilitate concurrent polymer self-assembly and active pharmaceutical ingredient (API) separation. Aqueous two-phase system: ATPS is a well-established method that selectively partitions molecules by mixing specific polymer pairs with target compounds in water, thereby creating two distinct phases. Separation of polymers and API: By carefully selecting the appropriate polymer pair, both the self-assembling polymers and APIs are maintained within the same phase, ensuring a higher localized concentration. Simultaneous self-assembly and encapsulation: This elevated concentration triggers the polymers to undergo self-assembly, effectively encapsulating the API without the need for additional chemical modifications or cross-linkers. Notably, the platform’s versatility lies in its independence from specific chemical interactions, enabling the encapsulation of a broad spectrum of APIs, including peptides, proteins, and small-molecule drugs. This IP meets the growing demand for safer, multifunctional eczema therapies. Key buyers include: Pharmaceutical companies seeking next-generation topical formulations to replace steroids or biologics (high cost, invasive administration). Dermatology-focused biotech firms interested in HA-based drug delivery platforms for inflammatory skin diseases. Consumer health brands aiming to develop over-the-counter skincare products with clinical efficacy. Innovative drug delivery platform addresses a critical unmet need in chronic skin conditions that affect over 355 million people worldwide. Traditional treatments have limited success—only about 30% remission—and come with high costs (£6,000–£14,000 per patient annually), while existing delivery systems offer a modest 5–15% drug bioavailability. The self-assembling porous hydrogel technology achieves three major breakthroughs: an impressive 85% bioavailability through superior drug penetration, a 72-hour sustained release profile, and the capability to deliver multiple therapeutic agents in a single formulation. The global dermatology therapeutics market, particularly for psoriasis and atopic dermatitis, is projected to reach $47 billion by 2027, growing at an 8.2% CAGR. This creates significant opportunities within key segments, such as the 125 million psoriasis patients seeking alternatives to biologics and the 230 million moderate-to-severe atopic dermatitis patients. This proprietary hyaluronic acid-based platform, with its optimized network structure, ensures unmatched drug penetration efficiency and controlled, prolonged release. This dual-action approach, which simultaneously targets inflammation, oxidative stress, and impaired barrier function, positions this technology as a disruptive alternative to current market leaders like biological therapies (45% market share) and topical corticosteroids (30%). This technology represents a paradigm shift in eczema and psorosis treatment by integrating multi-pathway targeting, sustained drug delivery, and biomimetic repair into a single hydrogel platform, overcoming critical limitations of current therapies. By delivering multiple therapeutic agents concurrently, this particular platform effectively addresses the multifaceted nature of conditions such as psoriasis and atopic dermatitis, which involve intertwined pathways like inflammation, oxidative stress, proteasome dysfunction, and barrier impairment. Key innovations include: • Multi-modal Targeting: Simultaneously addressing multiple disease mechanisms reduces the risk of treatment resistance and incomplete responses typical of single-pathway approaches. • Self-Assembling Porous Structure: An innovative, patent-protected two-phase system forms a stable network with uniform, adjustable pore sizes (10 nm to 4 μm). • Enhanced Penetration and Stability: The platform’s interconnected porous architecture creates a continuous gradient that maximizes API absorption while preserving drug stability under controlled conditions, ensuring sustained release (vs. short-acting creams) and reducing application frequency. • Risk Mitigation: Utilizing compounds with proven safety profiles streamlines regulatory approval by focusing innovation on the delivery system itself. By unifying symptom relief, root-cause modulation, and patient-centric design, this hydrogel offers a first-in-class solution for long-term eczema management, positioning it as a safer, more effective alternative to fragmented or invasive state-of-the-art options. Drug Delivery Platform, Hydrogel delivery, Hydrogel Encapsulation, Eczema, Chronic Skin Conditions, Pharmaceutical APIs Healthcare, Medical Devices, Pharmaceuticals & Therapeutics

This technology represents an innovative approach to indoor air quality (IAQ) management, focusing on sustainability and energy efficiency. Leveraging the principle of dilution, outdoor airflow can be adjusted dynamically to balance energy consumption and air quality. The system uses a predefined control algorithm to determine the optimal mix of outdoor and recirculated air based on the concentration of particulate matter or carbon dioxide in the indoor environment. Users can customise the system's operation based on their IAQ requirements, ensuring efficient ventilation while minimising energy usage. This low-cost solution aims to tackle challenges associated with IAQ, energy efficiency, and sustainability that cannot be accomplished by traditional heating, ventilation, and air conditioning (HVAC) systems. Instead, integrating decentralised air purification technologies into building design and urban planning initiatives, indoor pollutants can be removed while minimising operational costs and environmental impact. City planners can now better prioritise IAQ and energy efficiency from the outset, ensuring that future developments contribute to healthier, more livable communities. Public health, well-being, environmental sustainability, and climate resilience can be strengthened. This technology is best suited for retrofitting air conditioning systems in small to medium-sized residential care facilities and commercial buildings. This technology uses IAQ management to maintain consistent air quality, tailored to individual rooms or zones. With customisable airflow rates and purification levels, IAQ can be more effectively managed across the entire building. Additionally, integrating the Dilution Air Processing Unit (DAPU) enhances energy efficiency through process integration, engineered air psychrometry, and real-time monitoring and control. This significantly reduces energy consumption and operational costs compared to conventional HVAC systems. The novelty of this technology lies in its comprehensive approach to IAQ management, integrating engineering principles with advanced technologies to deliver tailored solutions for various building needs. Key features and performance data of DAPS include: Customisable fresh air intake: Gradually adjusts fresh air intake to maintain target PM1.0/PM2.5 levels. Activates 100% fresh air only when PM levels reach user-defined critical thresholds. Improved particle reduction efficiency: At a baseline ventilation requirement of 33% fresh air, DAPS reduces PM2.5 by 33%, compared to only 21% with traditional ACMV systems. At 100% fresh air, DAPS reduces PM2.5 by 79%, whereas traditional ACMV systems achieve only 51%. Better performance compared to air purifiers: Provides 10% higher PM2.5 particle reduction efficiency than standard air purifiers in similar room settings. Air purifiers do not meet SS554 fresh air requirements for buildings. Energy efficiency: When coupled with Dilution Air Processing Unit (DAPU), DAPS consumes 25% to 34% less energy across all fresh air settings than traditional ACMV systems. Critical environments such as hospitals and laboratories Commercial buildings requiring zone-level or room-level IAQ control Healthcare isolation and treatment facilities Hot-desking areas in airport terminals Hot-desking areas in shopping malls     Optimises energy efficiency by identifying the ideal fresh air percentage to achieve the desired air quality, ensuring energy savings and improved IAQ. Adapts purification levels in real-time to minimize unnecessary energy use while maintaining optimal air quality. Mitigates retrofitting issues for existing buildings by setting up easy-to-implement real-world examples. Incorporates advanced dynamic features that meet SS554 standards and outperform existing air cleaning technologies, including air purifiers and HEPA filters. Adopts a pollution-free, environmental-friendly approach for indoor air quality, aligning with global energy and environmental goal. The technology owner seeks to collaborate with: Building and transport system integrators to drive widespread adoption of DAPS. Healthcare institutions looking to upgrade their ventilation systems to reduce respiratory illnesses among vulnerable occupants. AI-based statisticians to analyse correlations among various factors and develop predictive models for reducing the spread of airborne diseases using DAPS data-driven systems. By integrating engineering, health sciences, and data science, the technology owner aims to develop comprehensive healthcare solutions for future advancements. Dilution ventilation, Air purification, Clean air technology, Indoor air quality management, Outdoor/ Fan Environment, Clean Air & Water, Sensor, Network, Monitoring & Quality Control Systems