innovation marketplace


Discover new technologies by our partners

Leveraging our wide network of partners, we have curated numerous enabling technologies available for licensing and commercialisation across different industries and domains. Enterprises interested in these technology offers and collaborating with partners of complementary technological capabilities can reach out for co-innovation opportunities.

Thermo-Catalytic Hydrogen Production from Plastic Waste
Mixed plastic waste is an abundant resource containing approximately 7-12 wt.% hydrogen (H2). Traditionally, hydrogen is produced from non-sustainable fossil feedstock, such as natural gas, coal and petroleum oil. This technology offer is a thermo-catalytic process that sustainably recovers hydrogen from plastic waste instead. During hydrogen recovery process, instead of releasing carbon dioxide (CO2) that causes greenhouse gas effect, the technology converts emissions into a form of solid carbon, called carbon nanotubes (CNT). Solid carbon is easier to store and handle compared to the gaseous carbon dioxide. Furthermore, carbon can be sold as an industrial feedstock for manufacturing of polymer composites, batteries, concrete, paints, and coatings. With over 150-190 million tonnes of mixed plastic waste ending up in landfills and our environment annually, the technology offers a sustainable solution for the elimination of plastic waste and decarbonization while providing a clean hydrogen supply.
Elimination of Wasted Energy from Buildings via Machine Learning
Small power (plug load power), can account for up to 40% of a commercial buildings’ energy consumption and has no system to measure, control or automate its use. 25% to 50% of small power can be classed as wasted energy and greenhouse gas (GHG) emissions, from occupant devices (laptops, personal heaters etc.) left switched on or in standby for no reason. This technology offer is designed to simply fit into existing infrastructure and management gap, automatically identifying small power wasted energy and controlling it, reducing total energy costs and GHG emissions by up to 50% and providing a < 3-year investment payback. Furthermore, having an infrastructure that constantly monitor itself not only adds precise and truly ‘smart’ power and carbon metering and reporting, it also adds a new level of safety to occupants by spotting potential issues with power infrastructure and devices. To find wasted energy, purpose-designed power sockets record data very frequently and accurately. The data is used by proprietary Machine Learning (ML) algorithms designed to identify what is plugged-in, what context the device is in, and then classify it as wasted or not. The in-built ‘Impact Indicator’, a traffic light system for carbon or electricity use, provides a visual cue to an otherwise silent and invisible use of energy. The advantages provided by this technology is simple; eliminate wasted energy by switching it off or use it for something useful like Demand Side Response (DSR).
Efficient Recycling of Platinum Group Metals under Ambient Conditions
Platinum group metals (PGM) are critical raw materials (CRM) that are used across multiple industries and in countless applications including but not limited to autocatalytic converters, jewellery, glassware, petrochemical refining, electronics, biomedical, pharmaceuticals, dental implants etc. The primary supply of PGM, through the mining of PGM ores, makes up about 70% of the global supply of PGM. The two dominant producers of PGM are South Africa and Russia, supplying 85% of the mining output of PGM - this leads to a monopoly of the supply chain and price gouging. Recycling PGM-containing waste offers advantages of addressing the supply deficit with less environmental impact compared to mining. However, conventional recycling methods suffer from high energy costs due to high processing temperature of about 1500 oC and requires downstream processing to treat waste which demands higher capital expenditure. Furthermore, the high processing temperatures results in high-value raw materials being burnt in the process and releasing harmful toxins. This technology offer is a novel biorecovery method that incorporates and modifies a series of different biochemical and biological processes in a simple 3-stage process as opposed to the multi-tiered stages of the current conventional methods used in industry. It offers the following advantages over the competition: Consumes 6x less energy 3x cheaper to operate Capable of recovering different PGM simultaneously with high yield even from low-grade waste This technology allows companies to recycle their spent catalyst in a truly green and sustainable manner.
Eco-friendly Direct Conversion of Biogas into Liquid Fuels
Liquid fuels from biogas are a promising source of renewable and clean energy as they give a lower emission of sulphur dioxide, nitrogen oxide, and soot than conventional fossil fuels. They are sustainable and economically viable as they can be obtained from agricultural waste. However, transforming biogas into a high-value liquid fuel equivalent to diesel or gasoline requires a costly two-step process.  The technology developer has developed a novel enhanced capsule catalysts with unique core-shell structures that enable the production of high value-added liquid fuels from biogas in a single step with only one reactor. These capsule catalysts directly convert synthetic gas (syngas) into liquid fuels, which have improved petrol-like qualities. Therefore, these liquid fuels can be used either as diesel or gasoline substitutes without any modification to engines and existing refuelling facilities. The technology developer seeks companies looking for renewable and clean energy through the gas-to-liquid (GTL) technology to license and commercialise this technology. 
Magnesium Oxide Nanomaterial For Carbon Dioxide Capture
Pre-combustion, post-combustion and oxyfuel combustion capturing from power plants and other industrial scale companies are the three current carbon dioxide (CO2) capture and separation technologies. Unlike liquid and membrane adsorbents, solid adsorbents have a wider temperature range of adsorption and can be safely disposed in the environment. The use of solid adsorbents in industrial exhaust gases has shown to be a successful method of trapping concentrated CO2 for later storage rather than direct emission to the environment. Recent investigations have identified magnesium oxide based (MgO) solid adsorbents as a potential material for CO2 capture at intermediate temperatures. Furthermore, magnesium (Mg) based minerals are nontoxic, abundant materials which can be prepared in large scale at relatively low cost. Even though MgO has a high theoretical CO2 capture capacity (1100 mg CO2/g sorbent), it underperforms in practical applications due to a limiting number of active CO2 capture sites. MgO reacts with CO2 to create MgCO3 in dry, high-temperature circumstances. The formation of such MgCO3 carbonates obstructs additional carbon lattice transit leads which lowers the total CO2 capture efficiency. This technology offer is an anion doping method of MgO at room temperature to prevent the formation of MgCO3. The novel MgO-Mg(OH)2 composite nanomaterial is formed via electrospinning technology and improves the overall efficiency of MgO as a CO2 capture material.
Asset Tracking Device with Customisable Sensors
Traditionally, companies which deploy various assets in the field have to manually locate them to either service them, or just to find out where they are to collect them. Examples of these assets could be movable types like supermarket trolleys, delivery vehicles, hospital wheelchairs, etc., or non-movable types like machinery and equipment. By attaching small, IoT-based tracking devices to these assets, the asset owner will be able to track and locate them automatically. In addition, the operating status and physical parameters of the asset can be measured by additional sensors embedded into the tracking device. These location and condition data gathered by the asset tracking device can enable further downstream decisions to be made. For example, process enhancement such as predictive maintenance, real-time inventory management, or a simple track and trace operation, etc. Human-based errors can be minimised, increasing operational efficiency. This technology offer is an IoT-based asset tracking device that is fully customisable to perform various additional sensing functions. The device is also capable of monitoring its own operating conditions and associated environmental parameters. The technology owner is keen to do R&D collaboration with application developers from industries such as asset management, equipment management, logistics and the hospitality industry.
High Performance Additives for Lithium Ion Battery Electrode
Rechargeable lithium ion batteries are key parts in mobile devices, energy storage tools and electric vehicles. Great demands have posed challenges in developing batteries with higher energy density, longer cycle life and better battery quality. One of the major challenges in the fabrication of lithium ion battery is the need to have a thorough mix of various components in a viscous high-solid-content electrode slurry.  This technology offer is a method to resolve the dispersion problem of various electrode slurry by using additives. The dispersion additives used in this method have surfactant-like molecular structure which can substantially decrease the viscosity, improve flowability and dispersion quality of electrode slurry. The use of dispersion additive in lithium ion battery shows a substantial improvement on discharge capacity even for high solid content electrode slurry. The technology owner is keen to out-license this process to lithium-ion battery developers and manufacturers.
High Speed and Sensitive Artificial Olfactory Sensor
The human nose has 400 different types of odour receptors yet has the ability to recognise about 10000 different smells. Currently, there are different artificial methods that can be used to sense various odours by detecting volatile organic compounds (VOCs). However, many of these methods detect a single type of VOC at any one time or detect the whole VOCs without identification, are often expensive, time-consuming, or require skilled laboratory personnel to perform the procedure. This technology offer is a novel Artificial Olfactory Sensor (AOS) system with pattern recognition using artificial intelligence (AI). This system can simultaneously detect multiple VOCs, and is able to classify the odours through AI techniques. The sensor can detect at concentration as low as 1ppb (parts per billion) and provides a fast sensing speed at 10 second/cycle.  The patented technology can be used in food quality evaluation, air quality evaluation or human healthcare diagnostics.
AI-Aided Analysis of Capsule Endoscopy Images
With the increasing global prevalence of gastrointestinal disorders, the rise in the geriatric population, and the preference for minimally invasive techniques by patients for diagnosis, the demand for capsule endoscopy is expected to grow to $1.2 billion by 2026. But the process of detecting lesions or abnormalities from the images taken by the capsule endoscope is very tedious, time-consuming and error-prone. It takes about two hours for a doctor to read an image due to which the missed diagnosis rate could be high. This technology offer is an AI platform that assists with the clinical diagnosis of endoscopy images and it comprises three deep learning networks that can be used to classify vascular lesions/inflammation, improve the image quality of the area of interest, and upscale the image resolution.