TECH OFFERS

Artificial Intelligence/Machine Learning (AI/ML) performance is predicated on training with good quality data. However, such data is often difficult to acquire due to ethical concerns, logistic problems, high cost, data bias, and inherent poor data quality. Privacy restrictions and data regulations further compound the problem of data acquisition, restricting many organisations long-term access to valuable historical data. Ultimately, this creates the problem of incomplete or biased data which degrade the overall performance of trained AI/ML models.   This technology offer is a controlled synthetic data generation with differential privacy capability for structured (tabular) data. Its synthetic data engine utilizes conditional GANs (cGANs) coupled with optional differential privacy to synthesize data with similar properties as real data without the associated privacy risks. The core technology is a synthetic data engine that learns the distribution of the input data and selects the column to generate based on this distribution. Gaussian noise is further added to the gradients to protect the privacy of the data. The technology can generate data quickly: 10,000 rows, 8 columns in 8 minutes (evaluated on Nvidia GTX1080) and is mainly intended to generate synthetic datasets to address data scarcity, data privacy, and data augmentation. This generative process involves the following features: Conditional Generative Adversarial Networks (cGANS) generate synthetic data that mimic real data Sensitive data is obfuscated with statistical noise and randomization Definable privacy levels allowing adjustability between utility and data privacy (Differential privacy allows Machine Learning models to be trained on synthetic tabular data and achieve similar results as models trained on real data) Quality Assurance (QA) component generates reports to aid the assessment of data quality and risk metrics APIs for rapid integration, with full customisability This technology can be used for the following types of structured data: non-time series time series multi-tables free-text fields It can be applied in the following use-cases: Data Augmentation Increase the size of your datasets without wasting time to procure new data Data Extrapolation Extrapolate known data to generate unavailable or unknown data points Bias Correction De-bias or equalize the distribution of datasets Targeted Generation Generate rich data, including infrequent scenarios This synthetic data generation with differential privacy technology provides accessible privacy by design - adding privacy-preserving techniques before, during or after AI training, together with the following benefits: Synthetic data does not require further data sanitization, providing a safe data sandbox environment Reduces the need to pay for additional datasets by generating missing data or de-biasing existing datasets Overcomes the challenges of data acquisition by enriching real data with synthetic data through controlled generation Synthetically generated data become your data assets, with potential for monetization as new revenue streams Protect real data by combining made up data points to make it harder to distinguish what is real even if data is compromised Indefinite retention time without associated compliance risks and full accessibility to rich statistical data to provide a boost to AI/ML model resilience and performance The technology owner is looking to collaborate with technology partners in the field of AI/ML to co-develop new products/services, and for collaborators to test-bed in pilot projects. data, generation, privacy preserving, definable privacy, machine learning, synthetic data Infocomm, Security & Privacy, Data Processing

The exponential growth of electronic waste (E-waste) generation is proliferating due to the ever-increasing demand for electrical and electronic equipment (EEE) driven by industrial revolution and development. The COVID-19 crisis has further accelerated the shift towards digital transformation, contributing to an upsurge in E-waste generation. To-date, the industrial practices of extracting palladium (Pd) from electronic waste and mining ores rely on hydrometallurgy techniques using highly corrosive acids, typically aqua regia at elevated temperature. The process poses severe hazards to workers and lead to environmental pollution. Aqua regia’s capability to dissolve many various metals results in low selectivity for Pd. Despite ongoing efforts to develop alternative methods, these methods often prove impractical for industrial adoption. The technology provider has developed a proprietary lixiviant capable of extracting palladium up to 4,000 ppm at saturation with high extraction efficiency and selectivity within 12 hours. This lixiviant is facile, cost-effective, and significantly less corrosive and hazardous compared to current industrial practices. Substituting fuming aqua regia with this lixiviant could enhance the protection of workers and environmental safety. Importantly, the proposed technology is highly compatible with existing hydrometallurgy processes, eliminating the need for companies to change their current infrastructure. An E-waste industry partner has successfully conducted a pilot-scale (5-Litre scale) evaluation, validating the effectiveness and applicability of the lixiviant on their Pd-coated samples. The technology provider is actively seeking industry partners interested in test-bedding and licensing of this technology. Low cyanide concentration (< 50 ppm) stabilized in alkaline solution Optimal operating temperature of 90°C High selectivity (> 86%) and high extraction rate (> 86%) of palladium Cost-effective at ≤ USD 2.12/L extracting up to 4,000 ppm palladium at saturation within 12 hours Easy adoption and high compatibility with existing industrial hydrometallurgy systems Improve workplace safety and health which better protects workers and the environment Electronic wastes, such as Pd-coated connectors, Pd-coated wire bonding, etc. Pd-coated industrial wastes Recovered palladium can be further refined for resale and reuse In recent years, many countries have mandated environmental responsibilities to electronic manufacturers to establish producer recycling programs and ban E-waste disposal into landfills. E-waste contains precious metals, such as palladium, gold and silver that are highly sought-after by E-waste recycling companies due to their scarcity, high value and demand, and are actively traded as commodities over the last decades. The extraction of precious metals from E-waste is not only commercially attractive but also aligns with Corporate Social Responsibility and Environmental, Social, and Governance goals for resource recovery and environmental protection. The global E-waste market size was valued at USD 52.6 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 12.1% from 2022 to 2032, to reach USD 160.2 billion (Market.us, 2023). The proposed technology features a proprietary lixiviant capable of extracting palladium up to 4,000 ppm at saturation with a high extraction efficiency (≥ 89%) and high purity (≥ 92%). This cost-effective lixiviant is significantly less hazardous as compared to current industrial practices, thus better protecting workplace safety and health. Notably, the technology is compatible with existing hydrometallurgy processes and has been successfully verified at pilot-scale (5-Litre) in collaborating with an industry partner. Hydrometallurgy, palladium recovery, palladium extraction, palladium recycling, precious metal recovery, precious metal extraction, precious metal recycling, electronic waste (E-waste) recycling, electronic waste treatment Chemicals, Catalysts, Waste Management & Recycling, Industrial Waste Management

Electrolysis has diverse applications across various sectors, such as household and industrial electrolyzed water treatment, soda electrolysis, electrolytic plating, electrodeposition, and hydrogen generation. In electrolysis using insoluble electrodes, the electrocatalyst acting as the reaction field for the electrode reaction undergoes gradual abrasion. Given the high cost of precious metals (i.e., platinum group compounds) used as catalysts, protecting the catalyst and reducing the wear rate are crucial for extending the lifetime of electrodes and reducing the maintenance cost. Current technologies include multilayer electrodes that have a surface layer of noble metal oxide on the electrocatalyst to reduce catalyst wear. However, this method proves more expensive than ordinary insoluble electrodes. Additionally, the surface layer cannot be recoated. To address the challenge, the technology owner has developed a proprietary protective coating that effectively protects the catalyst on the surface of existing insoluble electrodes. This solution enables effective electrode protection through an inexpensive coating, reducing catalyst consumption and electrode replacement frequency. The coating can be reused by recoating the electrode, also contributing to the perspective of “Circular Economy”. The technology owner is seeking R&D collaboration with industrial partners such as electrode manufacturers, coating manufacturers, and companies utilising insoluble electrodes in electrolysis, especially electrolytic plating and metal recovery.  This unique coating, made of special silicone and conductive particles, can be applied to the catalyst surface and cured to reduce catalyst wear. Key features of this technology include: Improved electrode durability: double the replacement interval Excellent chemical resistance: capability to withstand harsh liquids such as strong acids and strong alkalis Optimal performance: good heat resistance, conductivity, and adhesion to the base material Efficient development: shorter development time and lower implementation cost compared to alternative methods such as electrolytic control and diamond coating Cost-effective solution: reduce maintenance cost and utilisation loss in the upstream process of electrolysis Circular economy contribution: reusable by recoating the electrode This technology can be used in handling harsh liquids such as strong acids and strong alkalis, addressing the challenge of electrode durability. It is mainly intended for the recovery of metals through electrolysis, especially targeting aqueous solutions containing metal ions. This is particularly useful for processes such as electrolytic plating and etching effluents in semiconductor manufacturing. In the future, the technology owner is also exploring the potential applications of this technology in water electrolysis electrodes and the use of conductive coatings beyond electrodes. Double the lifetime of the electrode using an inexpensive coating Can be reused by recoating the electrode Reduce the replacement frequency and maintenance cost Adaptable to existing coating (painting) facilities without modification Coatings, Electrode Catalyst, Electrolysis, Metal Recovery, electrolytic plating, recoating, reused Chemicals, Coatings & Paints, Manufacturing, Chemical Processes, Sustainability, Circular Economy

Today, the cost of energy generated by renewable sources is less than conventional energy. However, current energy storage solutions (e.g. Lithium-ion battery etc.) used to harness energy from renewables are expensive, unsafe and unreliable which has severely impeded the adoption and development of such renewable sources. Hence, there is a need for a cost efficient, safe, environmentally friendly and reliable energy storage system (ESS) to address these existing issues. This technology offer is a vanadium redox flow battery (VRFB) as a promising ESS. Unlike lithium-ion and lead acid batteries, VRFB has the flexibility to design and customise its power and energy density independently. This results in enhanced performance in terms of round-trip efficiency, energy density and thermal window as well as lowered levelised cost of storage when benchmarket against lithium-ion battery based ESS for long discharge duration. The VRFB also uses a unique stack design and an organic additive mixture on the electrolyte that improves the thermal stability and allows for 25% increase in energy efficiency when compared to other VRFB solutions.It also reduces safety risks related to over-charging, discharging and thermal runaways. This VRFB ESS is stable for up to 25 years with no electrolyte degradation and is made with environemtally friendly materials. The technology owner is seeking partner and collaborators especially those in renewable energy, large scale utility and microgrid projects to test bed their technology. This technology offer is a vanadium redox flow battery as an energy storage system. The features and specifications of the technology are as follows: Long lifetime: Performance guarantee on the daily energy output for 25 years with no degradation issues. Enhanced temperature operation: Innovative stack design allows up to 10% higher round trip efficiency which further helps in cost reduction and organic chemical additive allows higher operating temperature (-10°C to 55°C). Fire-safe and reliable technology: No leakage, smoke or fire occurring under several realistic scenarios. The system is equipped with advanced sensors to prevent any possible leakage of electrolyte. Recyclability and sustainability: Components of the VRFB are environmentally friendly and 100% recyclable. Energy density and low maintenance: Highest density in its segment and hassle-free maintenance. In-house system monitoring platform (BMS/EMS): Custom-built real-time monitoring platform for batteries’ performance monitoring. Enhanced digital platform for predictive analytics and supply demand management monitoring. The use of this technology is for industries that are interested in renewables and energy storage systems. The potential applications includes (but are not limited to): Renewables: VFRB as a cost efficient, reliable and environmentally friendly ESS to store energy from renewables. Microgrid: Complete replacement of diesel genset through the low-cost VRFB ESS coupled with solar. Economical and more reliable for applications that require back up power for more than 3 hours. Green charging station: Using VRFB as a reliable battery solution to mititgate the stress on the power grid by EV-charging stations. Powering building, telecom tower and data center: VRFB are designed for long hour back-ups with renewables. Grid stabilisation and renewable peak shifting: Peak-load demand, frequency regulation and solving intermittency problem with renewable integration by using VRFB ESS. Can be left completely discharged for long periods with no negative effects or degradation. Easy to scale as power stack and electrolyte (energy) can be decoupled. Long lifespan with no performance degradation (25 years) Intrinsically non-flammable Energy Storage, Renewable, BESS, ESS, Vanadium, Solar Energy, Battery & SuperCapacitor, Sensor, Network, Power Conversion, Power Quality & Energy Management, Solar, Fuel Cells, Sustainability, Low Carbon Economy

Enterprises are constantly looking for ways to improve operational efficiency and reduce costs. Traditional automation has limitations, especially when it comes to tasks requiring creativity or complex decision-making. Generative AI has emerged as a transformative technology that addresses a variety of pain-points faced by enterprises across industries. This technology solution offers a seamless integration of large language models (LLMs) and Generative AI fuctions with existing infrastructure, enhancing AI's impact by automating the flow of information and standardizing AI usage within your enterprise. This empowers customer support and operations teams to provide quick and accurate responses, significantly improving service delivery and operational efficiency.     This Generative AI technology solution is powered by a combination of technologies and methodologies to ensure a high level of customer engagement, personalization, and efficiency. Here's a breakdown of the key technology components and how they work together: 1. Natural Language Processing (NLP) and Understanding (NLU) Functionality: These AI components are the core of the chatbot's ability to understand human language. NLP breaks down and interprets the user's input (text or voice), while NLU comprehends the intent behind the input. How It Works: When a customer sends a message, NLP and NLU analyze the text to grasp the query's context and intent. This understanding allows the chatbot to generate an appropriate response. 2. Machine Learning (ML) Functionality: ML algorithms enable the chatbot to learn from interactions and improve responses over time. It analyzes patterns in data to predict and enhance future conversations. How It Works: Through continuous training on customer interactions, the chatbot becomes better at predicting user needs and personalizing responses, thereby improving engagement and satisfaction. 3. Integration APIs Functionality: APIs allow the chatbot to interact with external systems and databases, enabling it to retrieve and update information in real-time. How It Works: When a customer asks a question requiring specific data (e.g., account balance), the chatbot uses APIs to fetch the relevant information from the backend systems and deliver it to the user. 4. Sentiment Analysis Functionality: Sentiment analysis technology assesses the emotional tone behind a user's message, helping the chatbot to tailor its responses more empathetically. How It Works: By analyzing the sentiment of the user's text, the chatbot can adjust its tone and responses to better align with the user's emotional state, enhancing the engagement quality.         The technology can be applied across various domains such as customer service, HR recruitment, and internal operations efficiency. Its applications include: enhancing customer interaction through WhatsApp and omnichannel chatbots, supporting staff with AI-driven tools for operational efficiency, tailoring GPT models for industry-specific needs and customized requirements, automating email categorization, deriving insights from data analytics and customer feedback. These applications aim to streamline processes, personalize customer engagement, and optimize decision-making through data-driven insights. The unique value proposition lies in its comprehensive suite of AI-driven solutions designed to automate and enhance both customer engagement and internal operations. Their offerings range from WhatsApp messaging for improved customer interaction to omnichannel AI chatbots, specialized AI for HR and staff support, to industry-specific GPT models. They focus on personalizing customer experiences, streamlining recruitment processes, and delivering actionable insights through data analytics, positioning themselves as a versatile AI partner for businesses looking to leverage advanced technologies for operational efficiency and customer satisfaction. Infocomm, Artificial Intelligence

Issues associated with odor generation present significant challenges in various aspects of daily life, encompassing unpleasant smells from various sources such as toilets, kitchens, pets, tobacco, hospitals, and transportation. These unwanted odors have a detrimental impact on individual well-being, social interactions, and overall environmental quality. Deodorants play a crucial role in addressing these challenges, fostering a more comfortable and hygiene environment. However, conventional deodorants primarily rely on masking the unwanted odors with a strong fragrance, resulting in a slow and ineffective deodorization process, particularly against strong smells. The technology owner has developed a proprietary formulation that offers an effective deodorization approach. Unlike common deodorants, the unique deodorant using the proprietary formulation can remove the sources of unpleasant smells through chemical reactions. It demonstrates remarkable efficiency against a broad spectrum of odors, including those from rotting fish and meat, rotting eggs and milk, rotting vegetable waste, ammonia in toilets, sweat, and body odor. This innovative solution has the potential to revolutionise odor control across diverse scenarios. The technology owner is seeking R&D collaboration with industrial partners who are interested in incorporating this deodorant into their products and applications. Compared to conventional deodorants, this deodorant quickly interacts with unpleasant odor molecules and immediately envelops, degrades, and neutralizes the molecule, eliminating the unpleasant odor around it. Key features of this technology are: Universally against the four major malodors (i.e., ammonia, trimethylamine, methyl mercaptan, and hydrogen sulphide) Distinctive technique utilising zinc ions to decompose hydrogen sulfide, the source of putrefaction and fecal odor Effectively decompose human body odor and pet odor by using inorganic salts Reliable and efficient deodorization with a high deodorizing rate This innovative deodorant can be used in many situations since it is universally effective against the major odors in daily life. Potential scenarios include (but are not limited to): Transportation: public transportation or private cars. It effectively neutralises unpleasant odors during long trips, ensuring a comfortable space for passengers. Medical institutions: hospitals and clinics. It eliminates various odors occur in health care facilities, maintaining a comfortable environment for patients and staff. Hotels and accommodation: hotel rooms, shared spaces, and the entire accommodation. It provides a clean and comfortable environment, accommodating different guest preferences. Educational institutions: school and university classrooms, libraries, and common areas. It delivers safe and effective deodorizing effects for diverse population, including youth. Event Venue: indoor and outdoor events, concerts, and sporting occasions. It is particularly useful for odor control in places where many people gather. Effective deodorization against four major odors Enhance high safety in human health Low price despite its high effectiveness Customisable to meet different specifications Deodorization, Environment, Housing, Public, Odor Materials, Composites, Chemicals, Additives, Sustainability, Sustainable Living

The human skin is the largest organ of the body, capable of extremely sensitive sensing ability and functional characteristics including elasticity, mechanical resistance and self-healing due to different mechano-receptors and sensory nerves. Electronic skin (e-skin) or synthetic skin, is a thin electronic material that stimulate the characteristics of the skin, making it possible for applications in prosthetics, robotics, wearables devices and percutaneous drug delivery systems. This patented technology is an e-skin with tactile, pain and temperature sensing, capable of differentiating various mechanical forces, sensory heat or moisture concurrently. It is a promising technology for healthcare applications. Currently, majority of the sensors in the market for healthcare are in rigid forms and for small application areas, which make it difficult for portable and wearable applications in large surface areas. This thin film flexible electronic skin can detect applied pressure and temperature on it. The skin’s electrical resistance varies with applied pressure and temperature. By measuring the skin’s electrical resistance, the applied pressure and temperature can be derived. The skin can be made stretchable to be covered on irregular curved surfaces. These features complement the drawbacks of rigid sensors for healthcare applications. The technology owner is looking for collaborators in the medical and robotics sectors and potential opportunities outside of healthcare such as beauty and cosmetics. Skin size, shape, density: customizable Pressure and temperature detection ranges: customizable (up to 5000KPa and 120°C) Single sensor repeatability: less than 10% Thickness: less than 1mm Communication port: via digital IO, UART, USB, Bluetooth, and Wi-Fi Data storage: SD card or other storage media Working voltage: DC 3-5V, or customizable The electronic skin can be: Embedded in insole for fall risk warning, fall detection, gait analysis, foot, and leg abnormality detection. Embedded in rehabilitation glove for finger gripping strength assessment. Embedded in surgical glove, robot end-effector and body for tactile sensing and force feedback control. Embedded in bed for bed sore prevention. Covered on artificial limb for pressure, temperature, and collision sensing. Deployed at shower room or bed side for fall detection. Used for teeth alignment and tongue muscle strength measurement. Used for training of doctor to operate surgical robot, under AR, MR, metaverse environment. Wearable electronic devices with skin-like properties will provide various applications for monitoring of human physiological signals such as body pressure, temperature, motion, and disease-related signals.  Low cost.  Customizable and durable electronic skins based on requirements. Compared with rigid sensors, these electronic skins have soft surfaces, can be made in large size, and covered on various flat and curved surfaces.  Possible to develop an interface to connect the e-skin to human neural brain or spinal cord. API under Windows, Linux, Android, and iOS to facilitate development of various applications.  Electronic skin, Tactile sensing, Pressure mapping, Temperature mapping Electronics, Sensors & Instrumentation, Personal Care, Cosmetics & Hair, Healthcare, Medical Devices, Infocomm, Internet of Things

The proprietary solution is a data acquisition and analytics system that employs non-intrusive clip-on current transformers which are easily installed at electrical distribution boards. This enables AI algorithms to detect subtle changes and patterns in the electrical signature of each connected asset or device. Monitoring electrical assets has traditionally been complex and costly, requiring multiple sensors and expensive systems. This has led to widespread under-monitoring,  resulting in expensive maintenance and significant energy inefficiencies. The solution extracts a proprietary set of deep energy data from electrical devices, assets, and machines, and can be easily installed on both new and existing electrical assets or building infrastructure. It offers real-time monitoring and reporting on important metrics such as real-time power usage effectiveness (PUE) and enables automation of sustainability reporting. The technology offers an industry-changing solution: a non-intrusive cost efficient AI-powered monitoring system that is easy to install. It generates a proprietary data set that fuels machine learning algorithms, enhancing efficiency and reducing total cost of ownership for all connected assets. The technology owner is seeking test-bedding partnerships with real estate businesses, data centre companies or service providers, facility management businesses. Only a current transformer is required for each device, greatly reducing cost and increasing reliability. The proprietary current transformers are easily clipped onto electrical circuitry. The system can be installed into new or retrofitted into existing buildings and operates from its own independent network. Installation can be done by a locally qualified electrician. High-frequency electrical signature collection. The circuit transformer sensors are tethered to electrical circuits. These sensors acquire high-frequency electrical data, and the data is then fed into the intelligent monitoring system. The system has specialised machine learning algorithms specifically designed to provide valuable insight into the unique challenges of the built environment. Proprietary hardware/software platform to make data acquisition and installation as un-intrusive, easy and cost-effective as possible. Web console for easy data visualization and open API for integration with other systems. Growing knowledge base and algorithm library to add value to the unique building environment. Dedicated in-house data solutions team with exceptional data science expertise that can understand and solve the bepsoke challenges of specific buildings and assets. All data is also made available for direct download and local processing via a comprehensive Application Programming Interface (API). Opportunities provided by the system Electrical device condition monitoring for predictive maintenance Fault prediction and detection for maximising availability Energy optimisation, cost savings and carbon footprint reduction Arc detection capabilities for identification of fire hazards Power quality monitoring Real-time warning and notifications The system can be deployed in many different sectors and locations where electrical assets and infrastructure are not comprehensively monitored or understood. It has been deployed in sectors including data centres, key infrastructure such as wastewater, mining, manufacturing, leisure and office environments. Typically the system is best suited for real estate companies, companies with facility management responsibilities, building management businesses, carbon reduction companies or building owners who have reasonably sized property portfolios and require a proper insight into their electrical infrastructure. The solution gathers an unprecedented level of data, simultaneously monitoring thousands of different data points at any one time. The level of granularity provides a rich level of insight hitherto deployed at scale in most sectors. Typically alternative technologies, such as sensors can be costly, require regular configuration, and are not always part of a scalable solution where things such as condition-based monitoring have to be done on a site-by-site basis as opposed to a learn and deploy model. Net Zero, Condition-Based Monitoring, Carbon Reduction Technology, Digital Transformation, Data Acquisition Platform, Data Analysis Platform, Machine Learning Algorithms, AI technology, Digital Insights, Fault Prediction, Power Factor, ESG Reporting, Energy Optimisation, Power Quality Green Building, Sensor, Network, Building Control & Optimisation

Collagen is a structural protein prevalent in the connective tissues of all organisms, and is the building block of biomaterial that is essential in wound healing and tissue regeneration. Through a patented extraction method, a novel Type I Amphibian collagen has been valorised from discarded skins, an agrifood waste stream and processed into a medical grade collagen biomaterial. The extracted pristine native amphibian collagen possesses unique properties, combining attributes associated with aquatic and land-based collagen sources, giving the extracted collagen more versatility than conventional sources of collagen. The Type I Amphibian collagen possesses a higher biocompatibility and water solubility as compared to mammalian sources of collagen, with a better thermostability profile, than marine sources of collagen. The technology provider has demonstrated the medical application of this extracted collagen by developing a range of specialised wound dressings, specifically designed for the management of chronic wounds. These dressing will significantly improve clinical outcomes and increase the rate of chronic wound closure.  The technology provider is looking for partnerships or collaborations to transform this pristine collagen into medical products. Additionally, with a pristine collagen extract, hydrolysing them into smaller fragments (collagen peptides) that can be customised to the needs of the partnership or collaboration, for the medical/cosmeceutical/nutraceutical industry.  A unique pristine Type 1 collagen of amphibian origin, in its native triple helix form. Relatively high denaturation temperature of ~43°C, to withstand the average human body temperature of 37°C, thus retaining its functionality better in human body as compared to marine collagen. Can serve as a matrix or carrier for bioactives such as anti-microbials or anti-inflammatory drugs or compounds that confer additional specific therapeutic benefits. Reduced risk of adverse reactions or rejection compared to traditional biomolecules, thereby increasing clinical safety. Can be easily chemically cross-linked to form a microporous scaffold that facilitates tissue regeneration and accelerates the rate of re-epithelialization. Proven to inhibit/deactivate matrix metalloproteinase (MMPs), producing an optimal healing environment for the wound. Exists as Nano Fibres that are 20–25 nm in diameter with a length of 200–400 nm, enhancing cell-material interactions and better supporting fundamental cellular processes. Highly absorbable and thus able to remove wound exudate, allowing for a reduction in inflammation and oedema at the wound site.  Amphibian collagen can be used widely for biomedical applications, nutraceutical products, as well as cosmetics. Well known for its biocompatibility in human tissue, collagen is widely used in clinical practice for accelerated wound healing, post debridement. The main clinical usage of this technology allows collagen to act as support matrices for the repair of matrix-rich tissues that have been damaged and replacing scaffolds for tissue filling.  In the cosmetic front, collagen is extremely suitable for the care of dry, UV-exposed, and environmentally stressed skin as well as ageing skin. It is one of the main constituents of cosmetic formulations due to its moisturising, regenerating, and film-forming properties. However, the technology provider is also keen to collaborate with partners to explore beyond the applications stated above. With increasing consumer awareness of skincare and beauty products, the collagen market is expected to have a continued upward trend. Due to a greater emphasis being placed on developing products that are environmentally friendly and sustainable, the approach of upcycling amphibian skins that would otherwise be discarded as waste, will be embraced by the consumer fraternity. The global collagen market was valued at USD 9.66 billion in 2022 and is expected to expand to USD 19.98 billion in 2030 at a CAGR of 9.36 % during the forecast period of 2023-2030. Though intense competition, with many established brands and new entrants in the extraction of collagen, this technology is unique in the resources used – amphibians. There is no commercial available amphibian collagen in the market and the technology provider is the first to have demonstrated the use of this in wound dressing and cosmetics. Amphibian collagen is expected to be widely embraced as there are no religious restrictions, unlike other traditional sources of collagen.  A medical grade collagen with intact native triple helix structure. A special mechano-chemical method of extraction that form a sustainable waste valorisation process. Maintains unique properties of both aquatic and land-based collagen, unlike current sources of collagen. Nano-collagen fibres that are of 175-187% thinner than those of mammalian collagen. Is easily processed into gelatin and easily hydrolysed to form collagen peptides. Collaborations can be medical or cosmetic related. White labeling options available. All products conform to ISO10993 and can be ETO sterilized. Amphibian Collagen, Wound Healing, Cosmetic, Environmental Sustainability, Biocompatibility Personal Care, Cosmetics & Hair, Healthcare, Medical Devices, Pharmaceuticals & Therapeutics, Waste Management & Recycling, Food & Agriculture Waste Management