Given the importance of English as the international language of business, many Asian professionals and workforces still face a significant proficiency gap compared to their Western counterparts. They often encounter difficulties in three key areas: 1) understanding technical nuances, 2) drafting documents such as proposals and agreements, and 3) comprehending the diverse range of English accents found in regions like Korea, China, Japan, India, and Singapore. To address these challenges, our technology offers an e-learning platform that provides individuals and teams with a structured approach to complex business negotiations. It features standardized templates and conversational expressions to guide users effectively. This solution tackles common pain points, including inconsistent preparation, inadequate documentation, and a lack of analytical tools, which often result in suboptimal agreements. The system delivers step-by-step workflows for identifying stakeholders, defining negotiation objectives, evaluating leverage, and formulating strategies. It incorporates analytical modules for SWOT analysis, Position/Interest (P/I) analysis, Zone of Possible Agreement (ZOPA) estimation, and the development of alternative options. By integrating scenario-based logic with standardized templates, the platform empowers users to enhance their negotiation preparation, ensure consistent decision-making, and track outcomes effectively. The primary target adopters include corporate procurement teams, business development units, IP licensing managers, and international traders who are committed to building advanced negotiation skills.

Manufacturing with plastics, particularly thermoset and thermoplastic resins, has long been constrained by inefficient and energy-intensive heating methods. Current practices rely on large ovens, autoclaves, or surface heating techniques using gas or electric conduction. These approaches not only consume significant energy but also require prolonged processing times and manual interventions, limiting scalability and automation. This technology bridges induction heating into plastics for the first time.  This creates opportunities for automated, energy efficient manufacturing of thermoset (epoxy/urethane) or thermoplastic resins not possible through other surface heating methods. This disruptive manufacturing technology allows volumetric heating of plastic parts required in automotive, sports, and green energy sectors. Non-contact, volumetric heating occurs through incorporation of specially designed ceramic particle additives. The additives convert magnetic fields to heat for activation of adhesives, coatings, or melting of thermoplastics. This technology replaces inefficient fabrication methods such as energy intensive ovens, autoclaves, and surface gas/electric conduction-based heating. Induction provides remote activation, real-time feedback, and external digital manipulation for a new paradigm of assembly design intents. This innovative transformation removes laborious manufacturing methods and aligns with current goals of energy efficiency and long-term sustainability.  The technology owner is actively seeking R&D collaborations, licensing partnerships, and IP acquisition opportunities with manufacturing companies in adhesives, sporting goods, and automotive manufacturing.

The rapid growth of IoT and automation across industries has transformed operations with real-time monitoring and intelligent decision-making. However, ensuring a reliable power supply remains a major challenge, as frequent battery charging or replacement drives up costs, causes downtime, and impacts sustainability, underscoring the need for innovative energy solutions.  This technology generates reliable, event-based electrical pulses directly from motion or changes in magnetic fields. Unlike batteries, which require periodic replacement, or more familiar energy harvesters that rely on environmental conditions such as light or vibration, this approach provides a consistent and maintenance-free energy source triggered by movement. The pulses can power ultra-low-energy electronics including microcontrollers, sensors, and wireless transmitters, enabling truly autonomous IoT systems. This makes it possible to deploy sensors and monitoring devices in locations where battery access or replacement is impractical, such as sealed enclosures, remote installations, or industrial equipment. The solution addresses the growing need for sustainable alternatives to batteries in IoT, offering cost savings, improved reliability, and reduced environmental impact. This technology has use cases in rotary acuators. The technology owner is looking to co-develop this technology and test bed on more use cases with partners who design and manufacture IoT/other devices. Other potential partners could be system integrators or end users looking to customise product development for scale.

The growing challenge of plastic waste and non-biodegradable absorbent materials is driving demand for bio-based alternatives that deliver performance without utilisation of petrochemicals. Poly-γ-L-glutamic acid (L-PGA) stands out as a biodegradable, biocompatible biopolymer with exceptional water retention and film-forming properties, making it highly relevant to applications requiring such functionalities. Commercial adoption has been limited as most commercial PGA is DL-PGA (a racemic polymer with lower stereoregularity and less predictable chemistry) while the preferred L-PGA grade remains scarce and costly under the single supplier archaea-based production route. This technology offers a cost-efficient and scalable platform for L-PGA production. Using proprietary microbial strains, it can produce consistent, ultra-high molecular weight L-PGA with stable quality and stereoregular purity. The resulting stereoregular L isomer material enables early adoption in cosmetics/personal care and medical materials, with the potential to expand into bio-based superabsorbent polymers (SAPs) and bioplastics as production capacity increases. To accelerate market adoption and tailor application-specific L-PGA grades, the technology owner seeks co-development and scale-up partners for this L-PGA technology (current readiness is at bench-scale, with next steps focused on jar-bioreactor scale-up and standardized testing).

Social issues such as labor shortages are becoming more apparent, making it urgent to utilize digital technology to transform workflows and work styles. In particular, there has been increasing demand for spatial digitalization to streamline renovation processes across various fields. When renovating offices, houses, factories, and other spaces, it is necessary to measure dimensions and create floor plans, which often involves manual work. However, measuring all dimensions and generating floor plans or 3D models manually takes a significant amount of time. Moreover, overlooked measurements often require additional site visits, further delaying the process. Recently, spatial digitalization using sensors such as cameras has been introduced to address these challenges. By sensing spaces and generating point clouds, which are then converted into 3D models, efficiency can be improved. However, existing methods still present issues. Creating point clouds with desktop devices is costly and time-consuming. When using general mobile devices, the accuracy is low and results depend heavily on the operator. Furthermore, transforming point clouds into 3D models often requires extensive manual work and considerable time. This method addresses these challenges. Using low-cost mobile devices, anyone can quickly and accurately acquire point clouds, which can then be automatically transformed into 3D models within just a few hours.

This IoT and AI-driven solution directly addresses critical logistics challenges, including product spoilage, quality degradation, and compliance failures, particularly in cold-chain and high-value supply chain environments. Given that product spoilage alone costs companies 3–7% of their annual revenue, the technology’s core value lies in its ability to transform logistics management from a reactive process into a proactive and intelligent operation. The solution’s robust platform is built on three key technological pillars: An IoT sensor device for real-time data collection. An AI-driven predictive model for deep analysis. An integrated data management platform that unifies insights. This system leverages domain-specific data management to handle complex knowledge, ensures quick and accurate forecasts through advanced modeling, and dynamically adjusts risk thresholds in real time using AI-based risk management. By integrating these elements, the technology provides comprehensive visibility and enables timely intervention, preventing minor issues from escalating into major disruptions. Ultimately, this solution is ideally suited for sectors such as biopharmaceuticals, fresh food, and high-value asset transportation, where its accuracy and speed can significantly reduce operational losses.

The foveal machine vision method is a well-established human-eye-inspired technology that mimics the way our eyes focus on details in the centre of vision (the fovea) while keeping peripheral areas in lower resolution. The current invention applies this mature principle to capsule endoscopy, and by integrating attention-driven imaging, adaptive radios, and visual–inertial fusion, it delivers a uniquely efficient and clinically relevant solution for fewer missed diagnoses and improved patient outcomes. For clinicians: The system integrates seamlessly with existing PACS (Picture Archiving and Communication System) and EMR (Electronic Medical Record), requires minimal onboarding, and mirrors current reading habits. It streamlines the review process while ensuring clinicians retain full control by accepting or editing findings before making the final decision. For patients: The exam remains outpatient and sedation-free, with no disruption to daily activity, while improved targeting and localization help reduce the need for repeat procedures. This technology overcomes key limitations of current capsule endoscopy in gastrointestinal (GI) diagnostics — namely low image resolution (~500 X 500 pixels), slow frame rates (<5 frames per second), and excessive energy use — that can compromise lesion detection and often necessitate repeat procedures. Ideal collaborators include R&D partners to advance development, gastroenterology departments for clinical validation, device manufacturers for capsule integration and scaling, and telemedicine providers to enable remote diagnostic deployment.

Modern buildings consume significant amounts of electricity through air conditioning systems. However, many conventional setups rely on static schedules or simple rule-based controls that do not adapt to dynamic factors such as external weather, occupancy, or usage patterns. This often results in higher energy costs, reduced occupant comfort, and unnecessary wear on air conditioning equipment. To address these challenges, the technology owner has developed an advanced air-conditioning optimisation system that leverages real-time sensor data, weather forecasts, and machine learning to dynamically regulate operations. The system features intelligent temperature detection that maintains an optimal balance, neither too cold nor too hot, while automatically controlling air-conditioning and heating in real time, thereby improving energy efficiency, supporting ESG practices, and ensuring a consistently comfortable indoor environment. Designed for seamless installation and operation via a user-friendly interface, the solution is suitable for both small-scale users and large facilities managing multiple air conditioning systems. When integrated with central air control systems, it reduces manual workload for operators while optimising energy use across entire buildings. Successfully deployed in retail stores, offices, and warehouses in Korea, the technology has demonstrated proven value across diverse environments. The technology owner is seeking industrial partners for test-bedding and adoption of their AIoT solution. They are also keen to collaborate with HVAC companies and air handling unit (AHU) manufacturers to co-develop integrated solutions that create win-win opportunities and drive sustainable growth.

Polyoxymethylene (POM) is a high-performance engineered thermoplastic widely used in the automotive, electronics, and industrial sectors due to its excellent mechanical strength, chemical resistance, and dimensional stability. However, its conventional production relies heavily on formaldehyde derived from fossil-based methanol, presenting significant sustainability and carbon footprint challenges. Amid growing environmental concerns and global net-zero commitments, carbon dioxide (CO₂) utilisation is emerging as a promising approach for transforming waste carbon into value-added materials. Among various CO₂-derived chemicals, methanol stands out as a viable and sustainable feedstock, offering a low-carbon alternative to traditional petrochemical-based inputs. To advance circular economy goals and reduce reliance on fossil resources, a Singapore-based SME is seeking innovative and scalable technologies that can convert CO₂-derived methanol into POM or its intermediates such as formaldehyde or trioxane. Proposed solutions may include end-to-end pathways using commercially viable CO₂-derived methanol to produce POM, or novel routes that directly convert CO₂ into POM through intermediate steps.

In 2023, Singapore generated approximately 755,000 tonnes of food waste, with only 18% recycled, underscoring the urgent need for innovative waste management strategies. The nation's Zero Waste Master Plan have significantly propelled efforts to transform food waste into valuable resources. Food waste valorisation involves pre-processing steps like drying, microbial fermentation, or enzymatic breakdown into biomass which can convert nutrients into suitable ingredients for animal feed, food ingredients and biofuels.  A significant technical challenge arises for companies handling heterogeneous municipal food waste in Singapore due to its high oil content. The presence of oil may potentially lead to fouling, clogging of processing equipment, reducing processing efficiency. On the contrary, oil is also a valuable ingredient for biofuel. Therefore, the company is seeking for solution providers who can de-oil from the biomass.

According to the Health Promotion Board (HPB) in Singapore, 90% of Singapore residents' consumption of sodium exceeds the daily recommended intake, with the average consumption at 3620 mg, nearly double of the recommended 2000 mg per day. As a result, one in six Singapore residents report health problems like hypertension and hypolipidaemia. In an effort to curb this, HPB launched the "Less Salt, More Taste" campaign in 2024 to encourage the food manufacturing and food service industry to change their recipes and add less salt and sauces, or switch to use lower-sodium alternatives for salt, sauces and seasonings. Manufacturers are also encouraged to increase the supply of lower-sodium ingredients for the food service sector. Consumers are also encouraged to choose low sodium options, or use less salt in their home cooking. This sodium reduction strategy aims to reduce Singaporeans’ sodium intake by 15% by 2026.