This technology provides a secure and privacy-preserving digital infrastructure for traceability, regulatory compliance, and sustainability verification across global supply chains. It was developed in response to tightening international regulations, such as those in the European Union, which require companies to disclose detailed product and material data through digital passports. The solution addresses key challenges in supply chain management, including fragmented data systems, unverifiable sustainability claims, and inefficient audit processes. It enables companies to log, verify, and share trusted data across all tiers of the supply chain. Applicable to industries such as electronics, batteries, construction materials, and textiles, this technology supports compliance with environmental, social, and governance (ESG) requirements. It transforms compliance into a competitive advantage, enhancing transparency, reducing risk, and enabling access to sustainability-linked market benefits such as green premiums. The need for such a solution is underscored by growing global regulatory pressure and operational gaps: studies show that over 70% of companies lack visibility beyond Tier 1 suppliers, and the incidence of greenwashing-related penalties has risen sharply in recent years. The technology owner is seeking R&D collaborations, test-bedding partners, and licensing opportunities to co-develop new use cases and expand industry applications.

With the maritime industry responsible for 2–3% of global CO₂ emissions, the need for practical, safe, and affordable low-carbon fuel solutions has become increasingly urgent. While alternatives like hydrogen and ammonia show potential, they face major barriers in safety, cost, and infrastructure—particularly for long-haul shipping routes. Bio-methanol is considered a strong alternative fuel for the maritime sector, offering a practical, scalable, and safer pathway for transitioning to low-carbon marine fuels. The technology on offer features a proprietary catalyst that simplifies the bio-methanol production process, enabling up to 50% reduction in capital and operating expenses compared to conventional methods. This approach allows renewable methanol to be produced at costs approaching that of fossil-based methanol or diesel, especially when normalized by energy density and inclusive of carbon pricing. The process also supports circular economy goals by valorising waste into energy, further enhancing its environmental and societal impact. By enabling affordable, scalable production of renewable methanol, this technology fills a critical gap in the clean energy supply chain, facilitating a just and profitable transition to greener shipping. It also directly addresses the maritime industry’s growing demand for sustainable fuels that align with international climate targets, such as the International Maritime Organization’s (IMO) net-zero emissions goal. The technology owner is seeking for co-development and test-bedding opportunities with end-users in the maritime sector i.e., shipping companies, fuel distributors, port operators, and clean energy developers and waste biomass producers i.e., palm oil, bagasse, animal manures, municipal sewage waste.

Traditionally, Design for Manufacturing (DFM) feedback is provided late in the product development cycle, often resulting in costly redesigns, production delays, and missed opportunities for optimization. This invention introduces an AI-powered companion that delivers real-time DFM feedback early in the design and demand fulfillment process. By automatically analyzing CAD models and design parameters, it identifies features that may pose manufacturing challenges and offers actionable suggestions to improve feasibility and reduce costs. The AI companion empowers users to make informed design decisions without waiting for manual reviews or relying solely on in-house manufacturing experts. In additional, traditional quoting methods are labor intensive and inaccurate, requiring engineers to analyze technical drawings, assess material and process requirements, and estimate costs based on historical data or supplier inputs. This delays customer responses and increases operational overhead. The proposed technology leverages AI to automatically interpret design files (e.g., CAD or technical drawings), extract key manufacturing features, and generate instant, data driven price estimates.  The technology owner is seeking collaborators in tailoring this AI module to specific industries, applications, and business processes. Target users include precision engineering firms, job shops and manufacturers. The solution can enable businesses to respond faster to customer inquiries, reduce quoting costs, reduce design for manufacturing leadtime and win more business.  

Platinum group metals (PGMs) are critical raw materials essential in diverse industries, including automotive catalytic converters, jewelry, glassware, petrochemical refining, electronics, and healthcare sectors like pharmaceuticals and dental implants. Primarily sourced through the mining of PGM ores, they constitute about 70% of the global PGM supply, with South Africa and Russia accounting for 85% of this production. This concentration in supply can lead to price gouging and market monopoly. Recycling PGMs from waste not only mitigates the supply shortfall but also reduces environmental impacts compared to mining. However, conventional recycling methods are energy-intensive, requiring temperatures around 1500°C, and involve costly downstream processing to treat waste. Furthermore, the high processing temperatures result in high-value raw materials being burnt and releasing harmful toxins. The technology owner has developed a novel biorecovery method that incorporates and modifies a series of biochemical and biological processes into a streamlined 3-stage process as opposed to the multi-tiered stages of current conventional methods used in industry. It offers the following advantages over the competition: Energy Efficiency: consumes 6x less energy than traditional methods Cost Effective: 3x cheaper in operation cost High Yield: capable of recovering multiple PGM simultaneously with high yield even from low-grade waste Sustainability: support company decarbonization goals by offering a truly green and sustainable recycling manner for spent catalyst

In today’s Building Automation (BA) industry, the growing demand for smarter, more connected buildings is accelerating the shift from traditional Modbus/RS485-based devices to Ethernet-enabled BA devices. RS485 is a long-established serial communication standard valued for its reliability over long distances and in electrically noisy environments—making it a staple in industrial and building automation systems. However, upgrading to Ethernet typically requires costly and labor-intensive rewiring to replace existing Modbus/RS485 cabling with Ethernet cables. This technology offers a cost-effective alternative by enabling IP-based data communication over the existing Modbus/RS485 infrastructure already deployed in facilities. It supports communication speeds ranging from several Mbps to tens of Mbps and transmission distances of several kilometres, making it especially suitable for large-scale building environments.  The technology provider is seeking to collaborate with commercial building owners, industrial facilities and manufacturing plants, building automation companies, system integrators, and facility management firms that are looking to enhance operational efficiency and upgrade infrastructure with minimal retrofitting.

This offer presents two complementary augmented reality (AR) smart glasses solutions that harness voice-activated AI and ergonomic wearability to support hands-free interaction in real-world environments. These solutions differ in display capability and interaction modes, enabling fit-for-purpose deployment across both functional and experiential domains. The Enterprise AR solution is tailored for enterprise productivity, multilingual communication, and contextual information retrieval, making it suitable for operational and knowledge-intensive environments. The Entertainment AR solution focuses on high-fidelity visual experiences, addressing needs in media-rich, collaborative, or training settings. Both solutions offer voice-based AI interaction, privacy protection, and adaptable hardware, and can be integrated into existing digital ecosystems through configurable APIs or platform connectors. The technology developer is seeking to engage with partners across sectors such as healthcare, logistics, education, tourism, and retail. Potential collaborations include piloting the AR solutions in real-world use cases, co-developing tailored applications or AI interfaces, and exploring regional go-to-market opportunities. Opportunities also exist for research partnerships to enhance device functionality, user experience, and integration with industry-specific systems.

In hydroponics, plants receive nutrients directly from a water-based solution. pH affects how well plants can absorb these nutrients. If the pH is too high (alkaline) or too low (acidic), certain nutrients become chemically unavailable, leading to deficiencies even if the nutrients are present. To adjust the pH, hydroponic farmers have to use pH up solution (commonly potassium hydroxide or potassium carbonate) or pH down solution (commonly phosphoric or nitric acid), which adds cost, increases safety risks and utilises resources like time, manpower and storage space. This innovation combines Electrolysed Water (EW) with an Internet of Things (IoT) system to autonomously adjust pH to improve vegetable health, optimise plant growth, and reduce algae without the use of chemicals. The solution features a modular chamber setup, precise EW control, and real-time environmental monitoring. The technology addresses the common challenges of uneven plant growth, algae outbreaks, and chemical handling in urban agriculture.

This technology solution empowers organisations to easily calculate and visualise their Scope 1 and Scope 2 carbon emissions by responding to a series of straightforward, user-friendly questions. It provides a powerful and accessible starting point for companies seeking to understand and manage their carbon footprint, enabling them to make informed decisions toward sustainability goals. By simplifying the often complex emissions tracking process, this solution supports businesses of all sizes in taking meaningful first steps on their journey towards environmental responsibility and climate action.  This solution is accessible to all users looking to understand their carbon footprint.

This technology provides a secure and privacy-preserving digital infrastructure for traceability, regulatory compliance, and sustainability verification across global supply chains. It was developed in response to tightening international regulations, such as those in the European Union, which require companies to disclose detailed product and material data through digital passports. The solution addresses key challenges in supply chain management, including fragmented data systems, unverifiable sustainability claims, and inefficient audit processes. It enables companies to log, verify, and share trusted data across all tiers of the supply chain. Applicable to industries such as electronics, batteries, construction materials, and textiles, this technology supports compliance with environmental, social, and governance (ESG) requirements. It transforms compliance into a competitive advantage, enhancing transparency, reducing risk, and enabling access to sustainability-linked market benefits such as green premiums. The need for such a solution is underscored by growing global regulatory pressure and operational gaps: studies show that over 70% of companies lack visibility beyond Tier 1 suppliers, and the incidence of greenwashing-related penalties has risen sharply in recent years. The technology owner is seeking R&D collaborations, test-bedding partners, and licensing opportunities to co-develop new use cases and expand industry applications.

With the maritime industry responsible for 2–3% of global CO₂ emissions, the need for practical, safe, and affordable low-carbon fuel solutions has become increasingly urgent. While alternatives like hydrogen and ammonia show potential, they face major barriers in safety, cost, and infrastructure—particularly for long-haul shipping routes. Bio-methanol is considered a strong alternative fuel for the maritime sector, offering a practical, scalable, and safer pathway for transitioning to low-carbon marine fuels. The technology on offer features a proprietary catalyst that simplifies the bio-methanol production process, enabling up to 50% reduction in capital and operating expenses compared to conventional methods. This approach allows renewable methanol to be produced at costs approaching that of fossil-based methanol or diesel, especially when normalized by energy density and inclusive of carbon pricing. The process also supports circular economy goals by valorising waste into energy, further enhancing its environmental and societal impact. By enabling affordable, scalable production of renewable methanol, this technology fills a critical gap in the clean energy supply chain, facilitating a just and profitable transition to greener shipping. It also directly addresses the maritime industry’s growing demand for sustainable fuels that align with international climate targets, such as the International Maritime Organization’s (IMO) net-zero emissions goal. The technology owner is seeking for co-development and test-bedding opportunities with end-users in the maritime sector i.e., shipping companies, fuel distributors, port operators, and clean energy developers and waste biomass producers i.e., palm oil, bagasse, animal manures, municipal sewage waste.

Traditionally, Design for Manufacturing (DFM) feedback is provided late in the product development cycle, often resulting in costly redesigns, production delays, and missed opportunities for optimization. This invention introduces an AI-powered companion that delivers real-time DFM feedback early in the design and demand fulfillment process. By automatically analyzing CAD models and design parameters, it identifies features that may pose manufacturing challenges and offers actionable suggestions to improve feasibility and reduce costs. The AI companion empowers users to make informed design decisions without waiting for manual reviews or relying solely on in-house manufacturing experts. In additional, traditional quoting methods are labor intensive and inaccurate, requiring engineers to analyze technical drawings, assess material and process requirements, and estimate costs based on historical data or supplier inputs. This delays customer responses and increases operational overhead. The proposed technology leverages AI to automatically interpret design files (e.g., CAD or technical drawings), extract key manufacturing features, and generate instant, data driven price estimates.  The technology owner is seeking collaborators in tailoring this AI module to specific industries, applications, and business processes. Target users include precision engineering firms, job shops and manufacturers. The solution can enable businesses to respond faster to customer inquiries, reduce quoting costs, reduce design for manufacturing leadtime and win more business.  

Platinum group metals (PGMs) are critical raw materials essential in diverse industries, including automotive catalytic converters, jewelry, glassware, petrochemical refining, electronics, and healthcare sectors like pharmaceuticals and dental implants. Primarily sourced through the mining of PGM ores, they constitute about 70% of the global PGM supply, with South Africa and Russia accounting for 85% of this production. This concentration in supply can lead to price gouging and market monopoly. Recycling PGMs from waste not only mitigates the supply shortfall but also reduces environmental impacts compared to mining. However, conventional recycling methods are energy-intensive, requiring temperatures around 1500°C, and involve costly downstream processing to treat waste. Furthermore, the high processing temperatures result in high-value raw materials being burnt and releasing harmful toxins. The technology owner has developed a novel biorecovery method that incorporates and modifies a series of biochemical and biological processes into a streamlined 3-stage process as opposed to the multi-tiered stages of current conventional methods used in industry. It offers the following advantages over the competition: Energy Efficiency: consumes 6x less energy than traditional methods Cost Effective: 3x cheaper in operation cost High Yield: capable of recovering multiple PGM simultaneously with high yield even from low-grade waste Sustainability: support company decarbonization goals by offering a truly green and sustainable recycling manner for spent catalyst