TECH OFFERS

Automation for advanced manufacturing has reached its limits due to human biological limitations as well as the need for repetitive, standardized workflows. Deep learning AI is necessary to automate dynamic, non-standard workflows so as to enable true autonomous manufacturing. The product owner has developed an AI controller capable of connecting to manufacturing equipment non-intrusively, through low-level hardware interfaces (e.g. VGA, HDMI, USB), without any modifications or software installation to the existing system. Inside the controller is a powerful manufacturing AI agent that emulates both human judgment and behaviour, capable of fully autonomizing all operations as well as forecast equipment health. With incremental learning capabilities, it can generate new insights for equipment as well as process optimization. Factories can also use this product for intelligent remote control and monitoring (RCM) through their command-and-control platform. Unlike other command centers, this platform need not be manned by subject domain experts. Instead, only an engineer is required to ensure all AI agents are online.  The technology solution has been piloted and successfully deployed within notable semiconductor manufacturers. The technology owner is seeking collaboration opportunities with other advanced manufacturing industries, such as aerospace or medical devices, looking to leverage on smarter autonomous manufacturing and OEM equipment manufacturers looking to explore leveraging on AI capabilities into their existing and future equipment for a more competitive edge. This product combines advancements in AI, software, and hardware as illustrated below: AI Agent Vision-Driven Intelligent Process Automation: With a much more advanced version of robotic process automation (RPA), it is capable of interpreting highly complex UI from the equipment to make real-time dynamic decisions. Equipment Health Prediction: The product automatically collects and analyzes all forms of data from the equipment – process logs, UI information, etc. – and provides a health indicator. A decreasing trend in the health indicator or any anomaly is flagged as a potential issue to be investigated. Equipment Parameter Optimization: Some machines require tuning to ensure that it is performing at its most efficient state or can run the process consistent with expectation. The Equipment Parameter Optimization will analyze and determine the most optimum values for these tuning parameters, and with its Vision-Driven Process Automation, the AI agent can automate the tuning process of any machine with these parameter values. Hardware Non-intrusive compact form factor that supports all major equipment types (e.g. Windows, Linux, Unix, DOS, Sun Microsystem) Multiple low-level hardware interfaces connection (e.g. VGA, HDMI, USB, PS/2) for easy plug-and-play Communicates with equipment via numerous industrial protocols (e.g. MODBUS, RJ45, TCP, RS485/232) Software Remote control and monitoring (RCM) GUI no-code programmer to automate simple workflows using RPA The technology solution can be used for any manufacturing processes (e.g. advanced or precision engineering) that benefits from the utilisation of AI capabilities. These applications include: Equipment with Repetitive Workflow: This is for machines that have simple operation function, workflow, or user interface. The operator is expected to perform simple, repetitive tasks such as start process, pause process, select recipe, and clear a fixed set of alarm notifications. These operations can be automated using the AI’s RPA capabilities. Equipment with Dynamic or Recipe-Dependent Workflow: Many machines require operators to carry out actions based on information set in their recipes. In this case, RPA may be inefficient as it requires an automated RPA workflow for each recipe, with a new workflow for each new recipe created. This technology is able to automate any complex workflow processes into a RPA with dynamic logic. Equipment using Vision Processes (e.g. lithography, visual defect detection): Using the AI’s smart vision capability, it enables autonomous intervention or further automation to improve the vision process by analysing the deployed vision sensors to improve accuracy and optimise parameters which previously require manual intervention. Equipment that Requires Tuning: Some machines require constant/routine tuning as part of the preventive maintenance or for recipe creation/optimisation. The tuning process require high level of technical expertise and experience to analyse current performance and to tune accordingly. The AI is able to shorten the tuning downtime while eliminating inconsistencies, resulting in an improved and consistent autonomous tuning process. The further need for improving productivity and development of AI functionalities enable industrial automation to take a further step. More advanced AI models can now enable further emulation of human judgement and processes on the production floor, shifting from repetitive industrial automation to true autonomy. With more complex and faster workflow requiring immediate responses, there is industrial shift from slower cloud computing to faster edge computing execution. Lastly, legacy equipment currently deployed can now leverage on AI functionalities to further enhance operational efficiency, resulting in an improvement in Overall Equipment Effectiveness (OEE). The technology solution achieves true autonomy in dynamic workflows with any equipment through simple plug-and-play form factor, using advanced computer vision, insight generation and deep learning. This eliminates the need for expert human judgement and technical expertise required to operate and manage. The non-intrusive hardware uses low-level interfaces for connectivity, avoiding the need for long and complex downtime for equipment modification and software installation. With edge computing and easy integration to downstream and upstream processes, the AI agent is able to coordinate across workflows, optimising operations to occur seamlessly without expert monitoring. Lastly, it provides reliable machine performance insights based on current operational data, focusing on proactive and positive maintenance strategies rather than historical failures. Autonomous Manufacturing, Robotic Process Automation, RPA, Intelligent Process Automation, Remote Control and Monitoring, Process Automation, AI, RCM Infocomm, Artificial Intelligence, Manufacturing, Assembly, Automation & Robotics, Robotics & Automation, Smart Cities

AI has the potential to significantly enhance diagnostic efficiency, allowing healthcare providers to quickly analyze medical images (e.g., X-Ray, MRI, CT, PET) and generate preliminary diagnostics for further review. This is achieved through a comprehensive workflow that involves: 1. Leveraging the deep expertise of medical professionals to accurately annotate medical images, creating a robust training dataset for the AI model. 2. Training computer vision models based on these datasets to achieve target performance levels. 3. Continuously refining these models over time through the incorporation of new data. Traditionally, this process demands a team of engineers to set up and maintain multiple tools, making it resource-intensive and costly. The technology offered here is a no-code, end-to-end platform that revolutionizes this process by enabling healthcare professionals to directly contribute their expertise through an AI-assisted image labeling tool. This tool allows technical teams to collaboratively and efficiently label large datasets with pixel-level accuracy. Model training and fine-tuning can then be managed by a single individual, significantly reducing the time from concept to deployment - from months to weeks - while also cutting costs associated with hiring specialized machine learning engineers. The technology owner has worked with universities, hospitals, and MedTech start-ups to develop unique computer vision solutions in the healthcare space. The technology owner is seeking collaborations with healthcare organizations aiming to harness computer vision to enhance operational efficiency and quality of care. Alongside the platform, professional services are available to support development, customize necessary integrations, and ensure the success of client projects. This platform includes the following key features: Labeling Tools for Medical Scans - Supports 2D and 3D scans (e.g., NifTi, DICOM, MPR) - AI-assisted labeling for masks, keypoints, or volume - Collaborative working environment enabling labeling tasks to be distributed, with gates for management review and tie-breaking scenarios for data that are harder to assess - Importable / exportable major annotation formats, including COCO JSON, LabelMe, PascalVOC, COCO MASK, and CSV Width-Height AI-Assisted Labeling  Medical datasets are often large and complex. The AI-assisted labeling feature uses advanced contour analysis methods and deep learning to enable precise labeling with minimal user input. Users simply need to identify areas of interest / not of interest, and the platform will automatically generate accurate masks around the targeted regions. General Specifications - HIPPA and SOC II compliant, with ability to deploy on-premise to protect data security - "One-Click Train" for immediate model training leveraging 50+ foundational models - Audit trails to facilitate approvals for medical AI - documenting characteristics like data sets, model parameters, and model performance This platform addresses one of the major challenges faced by researchers, machine learning engineers, and data scientists in healthcare: the tedious and time-consuming task of data labeling. With this automated segmentation algorithms, teams have successfully labeled thousands of medical images in a fraction of the time typically required. Computational Pathology and Medical Imaging Applications: - Disease Detection and Identification (e.g., Tumor Lesions, Fractures, Foreign Objects) from X-Ray, MRI, and other medical imaging technologies - Anomaly Detection in Blood Cell Scans and Pathology Scans This platform enables healthcare teams to label data significantly faster, utilizing an AI-enabled segmentation tool that requires only a few clicks to create pixel-perfect masks. The tool can be used collaboratively, to divide up the workload between medical professionals, with built-in gates for management review. Given the high level of expertise required for medical data labeling, this platform allows professionals such as doctors and researchers to perform this task up to ten times faster. Additional benefits include a minimal learning curve, as the platform does not require mastery of many different tools. Moreover, it supports an end-to-end workflow, allowing teams to quickly transition from labeled images to trained deep-learning models (e.g., FasterRCNN, MaskRCNN, DeepLabV3, YOLO). The platform also supports the generation of labeled files compatible with multiple popular frameworks, streamlining the process of building and deploying powerful AI models in healthcare. Most importantly, all project IP is owned by the client. This allows MedTech companies to protect their core business. For healthcare systems looking to do in-house development, this fundamentally changes the current economics of AI in healthcare. Instead of pay per use, where costs scale with increased usage, the costs are concentrated into development and use of the AI can scale while costs remain relatively flat. AI-Assisted Image Labeling, Medical Images, Computational Pathology, Computer Vision Infocomm, Video/Image Analysis & Computer Vision, Big Data, Data Analytics, Data Mining & Data Visualisation, Healthcare, Telehealth, Medical Software & Imaging, Healthcare ICT

This technology is a neurointerventional procedure, focusing on transradial access for acute ischemic and hemorrhagic stroke treatment. Traditionally, neurointerventions utilize transfemoral access, but this solution leverages the radial artery for access, providing a safer and more comfortable alternative. By reducing complications and shortening recovery times, the transradial approach significantly enhances patient experience.  The transradial access system comprises three components: a radial access sheath, a selective catheter, and a guiding catheter. Each component is designed to work in harmony, ensuring the system’s compatibility and optimal performance. The radial sheath maintains high structural integrity while reducing radial artery spasm and occlusion. The selective catheter offers multiple proprietary tip shapes for improved access to neuro arteries. The guiding catheter combines distal flexibility and proximal stiffness to ensure smooth catheter pushability and trackability, providing surgeons with an efficient and seamless experience. The trans-radial access catheters for neurosurgery are developed for Asian population whom have narrow arteries.  The technology owner is interested in joint R&D projects to co-develop the technology. The neuro transradial access system comprises three core technologies: the radial access sheath, the selective catheter, and the guiding catheter. Radial Access Sheath: Designed with an optimal balance of flexibility and strength to enable precise navigation through the radial artery. Features a low-profile, thin-walled design to minimize radial artery spasm and ensure patient comfort. Coated with a hydrophilic layer to reduce friction, facilitating smoother sheath insertion and advancement. Selective Catheter: Equipped with a proprietary tip shape that enhances access to critical arteries, including the right/left ICA, ECA, and VA. Incorporates a U-shape stiffness for superior anchorage, preventing slippage during procedures and ensuring stability post-subclavian artery access. Guiding Catheter: Optimal balance of distal flexibility and proximal stiffness. Features a multi-layer design: a polymeric outer layer for flexibility, metallic coils and braids in the mid-layer for added structural support, and a high-wear resistance inner layer to ensure smooth catheter movement within the vasculature. Enables superior pushability and trackability during neurointerventions. This technology is designed for use in neurointervention procedures, with potential applications in the following areas: Aspiration Catheter Microcatheter Intermediate Catheter Distal Delivery Catheter This technology offers several advantages over conventional solutions in the neurointerventional space: Shorter Recovery Time: The design of this system reduces procedural complications and promotes faster recovery times, allowing patients to return to their normal activities sooner. Tailored for the Asian Population: The Trans-Radial Access Catheters are specifically designed for the Asian population, accommodating narrower arteries and ensuring safer and more effective neurointerventional access. Complete Neuro Transradial System: A fully integrated system that provides seamless access from the radial artery to the neurovasculature, minimizing procedural complications. Optimized Radial Sheath: Engineered to reduce radial artery spasm and occlusion, improving patient outcomes and comfort. Selective Catheter with Anchoring Mechanism: The catheter’s design prevents slippage during procedures, enhancing stability and precision during treatments. Guiding Catheter Designed for Optimal Pushability and Trackability: this catheter ensures smooth navigation through the vasculature, improving the overall user experience for surgeons. Medical Device, Neurointerventional, Catheters, Transradial Access, Radial Access Sheath, Selective Catheter, Radial Guide Catheter Healthcare, Medical Devices

In the wake of the COVID-19 pandemic, people have developed new expectations for indoor air quality. It is no longer just about ventilation and purification, but also about providing clean and safe air for a healthier environment. Traditional UVC technology (254 nm) has been widely used in HVAC systems and air purifiers to disinfect airborne pathogens. To ensure its effectiveness, sufficient contact time is required, hence it is often used in unoccupied spaces due to safety concerns.  This solution utilises human-safe 222 nm far-UVC technology which has been shown to be able to effectively inactivate airborne pathogens while maintaining safety since it does not penetrate the outer layer of human skin or eyes. This allows for continuous disinfection of air in occupied spaces. By integrating 222 nm far-UVC technology into HVAC system, including air purification, air monitoring and IoT management platforms, the company offers a complete solution for clean and safe air. With integrated capabilities in both R&D and manufacturing, the company can provide tailor-made solutions for different industry applications. They are seeking collaborations with real estate developers, chain restaurant operators and pathogenic air sampling technology experts to further develop and commercialise this solution. Human-safe 222 nm Far-UVC: An effective and direct disinfection technology, 24x7, no downtime   Green Technology: No chemicals, no mercury, and ozone free Air Quality Monitoring: Multiple sensors IAQ control system New Fresh Air System: Does not rely on fresh air ventilation   Smart IoT System: Enable optimisation of air purification effectiveness and energy efficiency  Reduce Carbon Emission:  Green technology, energy saving This solution could be deployed across various industries, including, but not limited to: Commercial/Residential Complexes Hospitals Hotels and Hospitality Educational Institutions F&B and Catering Operators Indoor Recreational Facilities In addition to indoor occupied spaces, the solution is also applicable in sectors such as the food industry, cold chain, and logistics centres, where secondary pollutants are the major sources of contamination. With the ability to achieve higher number of equivalent air changes, the utilisation of far-UVC for air disinfection offers a more cost effective and energy saving solution for indoor air quality control as compared to traditional air purification methods and reliance on ventilation.  222nm, far-uvc, iaq, covid, flu Green Building, Heating, Ventilation & Air-conditioning, Indoor Environment Quality, Sustainability, Sustainable Living

This technology focuses on the production of high-quality graphene oxide (GO) and reduced graphene oxide (rGO), designed for various industrial applications. Graphene oxide demonstrates superior electrical, thermal, and mechanical properties, making it an ideal candidate for industries such as electronics, energy storage, coatings, and composites. By reducing GO to rGO, its conductive properties can be enhanced. With the rising demand for advanced nanomaterials that enhance performance while supporting sustainable manufacturing practices, this technology ensures consistent quality and cost-effectiveness of GO and rGO for commercial use. The technology owner is seeking for joint R&D collaborations with industrial manufacturers and companies focused on sustainable materials innovation. Target partners include those in electronics, energy, and materials science sectors, interested in integrating graphene oxide into their new product development pipeline. The technology focuses on the process and production of graphene oxide in both powder and dispersion forms. Some features of the GO include: Can be reduced to rGO to enhance conductive properties Excellent dispersibility in water, ideal for integration into coatings, composite materials, and energy storage solutions Customisable to meet specific industrial needs i.e., varying particle sizes and surface chemistries This graphene oxide technology is applicable across several sectors, including electronics, energy storage, paints and coatings, water filtration, and composites. It enhances mechanical strength and conductivity, providing industries with innovative solutions for next-generation batteries, conductive inks, and advanced coatings. Industries prioritizing sustainability and high-performance materials can leverage this technology to improve efficiency, durability, and eco-friendliness in their products. This technology offers unparalleled scalability, customization, and quality control, providing industries with a reliable source of high-performance, environmentally friendly materials. By integrating graphene oxide into various applications, companies can significantly improve the durability, conductivity, and sustainability of their products, thus gaining a competitive edge. graphene oxide, reduced graphene oxide, nanomaterials, conductive, energy storage, coatings Materials, Semiconductors, Nano Materials, Manufacturing, Chemical Processes

Fungal-like Adhesive Materials (FLAM) represent an innovative family of materials inspired by the cell walls of fungus-like oomycetes. FLAMs are engineered by organizing the two most abundant and widely available natural molecules in their native configuration, resulting in a material that is lightweight, durable, and highly cost-effective. This groundbreaking composite is fully biodegradable, eliminating the need for organic solvents or synthetic materials, making it an eco-friendly alternative. FLAM can be locally produced as part of natural ecological cycles, contributing to sustainable manufacturing and ensuring long-term resource security for industries. In addition to its sustainability benefits, FLAM’s versatility allows it to be easily molded or processed with traditional manufacturing techniques, opening the door to a wide range of applications across various industries. This technology has been locally produced in Singapore as a by-product of waste management. The technology owner is looking for collaboration in test-bedding. FLAM can replace the use of plastic and wood in many applications.  Good strength-to-weight ratio: Inspired by the cell walls of fungus-like oomycetes by combining cellulose and chitin to give a lightweight and strong material. Biodegradable: Fully biodegradable composite with no synthetic additives. Non-toxic: Adding small amounts of a chitinous molecules enables the use of cellulose without any chemical modification and without the use of harmful solvents.  Easy processing: Compability with wood-working machinery and traditional manufacturing methods. FLAM can replace the use of wood in most applications, such as but not limited to: Furniture Architectural components  General and food packaging  Daily household items Large industrial parts: e.g. windmill blades, impact resistors Eco-friendly: Non-toxic, biodegradable material. Lightweight and strong: Able to replace wood and plastic material in most applications. Cost effective: Comparable to high density polyurethane foam. sustainable material, sustainable, biomaterial, FLAM, eco-friendly, biodegradable Materials, Bio Materials, Sustainability, Low Carbon Economy

Superoxide dismutase (SOD) is a key antioxidant enzyme that protects cells from oxidative stress by catalysing the conversion of superoxide radicals into less harmful molecules like oxygen and hydrogen peroxide. These radicals are produced during normal cellular metabolism but can cause significant damage to DNA, proteins, and lipids if not neutralised. SOD helps maintain cellular integrity by reducing this damage, supporting overall health and longevity. Given its role in protecting cell damage, SOD has been utilised in skincare products, cosmeceuticals, dietary supplements, medical and therapeutic products as well as functional foods. Current methods to produce SOD include natural extraction from plants, microbial fermentation and recombinant DNA technology. However, challenges such as low yield, variation in quality and concentration, high costs and regulatory issues still remain. The technology owner uses specific strains of microorganism and advanced biotechnology processes to produce SOD at high yields via fermentation in a sustainable and efficient manner. The enzyme is then extracted and concentrated during downstream processing. This technology could ensure a consistent and scalable supply of SOD for commercial use. The company is seeking collaborations with skincare brands and cosmetic manufacturers interested in co-developing or licensing the technology for mass-market production and distribution. Sustainable and efficient manufacturing: Produced through microbial fermentation using specific and proprietary microorganisms to ensure high yield and purity. High enzyme activity: SOD activity is measured in units (U), typically ranging from 2,000 to 20,000 U/ml, depending on the downstream process, and intended application. pH stable: Active across a wide pH range, typically stable between pH 4.5 to 8.5, making it suitable for various formulations in supplements and cosmetics. Temperature stable: Optimal activity at temperatures between 20°C and 40°C. Some formulations may include stabilisers to maintain activity at higher temperatures. Water soluble: Allowing easy incorporation into aqueous formulations for cosmetics or supplements. Varied formats: Available in liquid concentrate or lyophilised (freeze-dried) powder form, depending on application and customer requirements. Long shelf life: Typically 12-24 months when stored at -20°C for lyophilised forms, with stability maintained through proper storage and packaging. Beyond its biological role, SOD has applications in nutraceuticals and dietary supplements. It could be used to enhance the body's natural defence mechanisms, particularly in combating oxidative stress that contributes to aging and chronic conditions. SOD supplements have potential to reduce inflammation, improve immune function, and support joint health. Some studies suggest that SOD may help mitigate symptoms of conditions like arthritis, asthma, and exercise-induced muscle damage.  In addition to health supplements, SOD is also utilised in the cosmetic industry due to its skin-protective properties. It helps reduce the impact of environmental factors, such as UV radiation and pollution, which accelerate skin aging. There are also potential pharmaceutical applications for reducing oxidative stress. The global market for superoxide dismutase (SOD) is experiencing significant growth, driven by increasing consumer demand for natural antioxidants, health supplements, sports nutrition, and anti-aging solutions. Superoxide dismutase market size was valued at USD 100 Billion in 2023 and is expected to reach USD 145.48 Billion by the end of 2030 with a CAGR of 5.6% (Verified Market Reports, 2024). Consumers are also leaning towards eco-friendly, naturally sourced, and sustainably produced products. SOD, produced via fermentation, aligns with this demand, offering a clean, green alternative to synthetic antioxidants, positioning it favourably in the market. Its unique properties as a potent antioxidant, coupled with advancements in production and delivery methods, position it as a high-value ingredient in the expanding nutraceutical, cosmetic, and pharmaceutical markets. Sustained action: Unlike non-enzymatic antioxidants like vitamin C or E, which are consumed in the process of neutralising free radicals, SOD continues to work through a catalytic cycle. This offers long-lasting protection against oxidative damage at lower dosages. Targeted oxidative stress protection: SOD directly neutralises superoxide radicals, one of the reactive oxygen species (ROS) that contribute to chronic inflammation, aging, and various diseases. Traditional antioxidants are less selective and less effective at targeting this specific radical. Versatile applications: SOD can be used in diverse formulations, from dietary supplements to topical skincare products which broaden its application in health, wellness, and cosmetics industries. Personal Care, Cosmetics & Hair, Nutrition & Health Supplements, Life Sciences, Industrial Biotech Methods & Processes, Sustainability, Sustainable Living

Liver Fluke Infection (Opisthorchis viverrine) caused by the ingestion of raw or uncooked fish containing parasitic worms is a significant health problem in several countries, especially Southeast Asia. This infection while not deadly, can cause acute gastro-hepatic inflammation and long-term infection leading to carcinogenesis of an aggressive bile duct cancer (Cholangiocarcinoma-CCA) if left undiagnosed and untreated. The lifespan of the human liver fluke ranges from 9 to 13.5 years. Hence, early diagnosis of O. viverrini infection is valuable in preventing the infection from worsening and causing complications. Current diagnostic method uses stool examination (restricted by low parasite egg numbers in the specimen), imaging tests of liver and blood tests for antibodies. Cysteine protease is a group of protease enzymes characterized in numerous infectious pathogens. This technology has discovered a single-chain variable fragment (scFv) antibody target against cathepsin F of O. viverrini (OvCatF) by using phage display technologies. Cathepsin F is an enzyme with a half-life that is highly released during the infection, detecting this protein could reflect the current infection. This novel scFv antibody holds great potential in the field of parasitology and infectious diseases, and the characterization of their immunological properties could pave the way for the development of an effective rapid diagnostic kit in the future. The technology owner is seeking for medical device companies to develop this potential target as a practical diagnostic procedure for O. viverrini infection in humans in the future. This invention is a mouse single-chain variable fragment (scFv) antibody that specifically recognizes the epitope on the cathepsin F protein of the human liver fluke Opisthorchis viverrini (OvCatF) on amino acid residues 11 to 30. This scFv antibody contains variable fragments (Fv) of both heavy chain (VH) and light chain (VL), which are connected by a disulfide bond to form a single chain. This scFv antibody is selected by biopanning from the murine naïve single-chain variable fragments (scFv) library and produced by recombinant protein technologies. The ultimate objective of this invention is to develop an effective diagnostic tool for opisthorchiasis and cholangiocarcinoma in the future. Antibody for development and diagnosis of Opisthorchis viverrini infection and cholangiocarcinoma (bile duct cancer). Therapeutic antibody for Opisthorchis viverrini infection. The UVP of this developed scFv antibody is such that it recognizes specific epitopes that have never been used, conserves less than the other parasites, and make low cross-reactivities. The evaluation of specific recognition of the particular epitopes and detection limits by both computational and laboratory performances demonstrated that the selected recombinant scFv antibodies against OvCatF could bind specifically to rOvCatF, and the lowest detection concentration in the study was only 100ng. This target antibody candiate has the potential to be commercialised for early rapid diagnosis of parasitic infectious disease through the development of a rapid test kit.    Single-chain variable fragment (scFv) antibody, Opisthorchis viverrini, Cathepsin F, Liver Fluke Infection Healthcare, Diagnostics, Medical Devices, Pharmaceuticals & Therapeutics

The rapid growth of the Internet of Things (IoT), 5G, and Artificial Intelligence (AI) is driving the miniaturization, integration, and diversification of electronic devices. Till date the fabrication of electronics parts is largely based on traditional methods which does not lead themselves well to the construction of 3D electronic structures. Printed electronics are largely based on non-functional printing technologies which are optimised for 2D printing. Despite the potential, current 3D printing technologies face challenges in material compatibility, resolution, and complexity, making it difficult to create intricate, multi-material electronic devices. A novel approach using selective metal deposition (electroless deposition) combined with projection micro-stereolithography (PµSL) 3D printing offers a solution to address many of the challenges faced. This technology allows the creation of complex metal-plastic hybrid microstructures, potentially extending to other material combinations such as ceramic-metal, glass-metal, and semiconductor-metal hybrids, advancing the capabilities of 3D printed electronics. Besides, the 3D fabrication technique, the other core aspect of the solution included the know-how to formulate the special precursor materials that will allow metallic portions to be printed in-situ. These will combine to form hybrid structures that are functional thereby making it possible to create functional 3D parts. The technology owner is seeking partners with complex applications that involved functional 3D parts to co-create and develop the new applications with them using this technology.     The technology platform features an innovative approach for creating micro-hybrid devices through multiphase and multi-material integration. The core of the additive manufacturing technique involved the combination of UV light-based projection micro-stereolithography (PµSL) combined with electroless deposition method. It employs active precursor materials, specifically an active polymer that induces selective metal deposition, acting as a bridge between plastic and metal. Key technical features include: Multiphase and Multi-Material Integration: Enables the fabrication of devices with diverse material properties (e.g., conductive, insulating, and structural) in a single manufacturing process. High-Resolution Accuracy: Achieves micron-level precision, essential for producing complex, next-generation electronic components. Multifunctional Material Compatibility: Supports a wide range of materials, including conductive metals, ceramics, and advanced polymers, allowing for the creation of multifunctional devices. Enhanced Design Flexibility: Overcomes traditional manufacturing limitations, enabling the creation of complex geometries and hybrid material designs tailored for specific electronic functions. Scalability and Customization: Facilitates rapid prototyping, scalable production, and customized solutions, particularly for niche applications. Largest work piece: 100mm x 100mm x 100mm Smallest resolution: 2.5um Its potential applications include but are not limited to: Electronics Manufacturing 3D Electronics Intelligent Manufacturing for Robotics Medical Devices Semiconductor Manufacturing Automotive Energy Storage & Management Internet of Things (IoT) Devices Fast Fashion Jewellery & Accessories The technology can revolutionize the production of electronic devices by seamlessly integrating metals and plastics into complex, high-resolution microstructures. This process combines multi-material 3D printing with in-situ metal deposition to provide unrivalled design flexibility, precision and efficiency. By overcoming traditional manufacturing constraints, this technology delivers highly customizable, functional components that can set a new benchmark in the production of advanced electronics. Multi-material 3D Printing, Selective Metallization, Microstructures, Hybrids, Electronic Devices, Sensors, 3D Printed Jewellery Materials, Semiconductors, Plastics & Elastomers, Metals & Alloys, Manufacturing, Additive Manufacturing