TECHINNOVATION TECH OFFERS

These VR simulations can replicate various bunkering scenarios, including challenging weather conditions, emergencies, and equipment malfunctions. Trainees can develop problem-solving skills and adaptability in a controlled setting, preparing them for real-world challenges. In addition, immersive technology enables remote training, overcoming logistical constraints and reducing the costs associated with physical training setups. Trainees can access methanol bunkering training modules from anywhere at any time, improving accessibility and scalability.  The technology provider is seeking collaboration partners spanning both industry and technology sectors, including maritime partners, bunker operators, ship owners and shipping lines, as well as VR solution developers, simulation software companies, and AI analytics providers.

Reconfigurable meta-surfaces have emerged as a game-changing technology for next-generation wireless networks. Unlike traditional phased-array antennas, meta-surfaces manipulate electromagnetic waves through sub-wavelength elements to steer, focus, and reflect signals with very low power consumption. This technology aims to address the critical issue of unsatisfactory outdoor-to-indoor reception quality in 5G networks. To tackle this challenge, a brand-new smart wireless repeater featuring power-active, high-selectivity, and low-cost characteristics has been developed. It is capable of redirecting and focusing outdoor 5G signals into buildings or basement car parks, thereby enhancing signal coverage, enabling high-quality outdoor-to-indoor 5G communications. Global meta-surface hardware revenue was approximately US$1.2 billion in 2024 and is projected to exceed US$6 billion by 2033, with annual growth rates above 23.5%. However, commercial products remain limited. Current solutions are either passive, offering limited control over frequency and angle, or active but bulky and energy-hungry. There is a clear need for high-selectivity, active reconfigurable meta-surfaces that can amplify and direct specific bands or angles for demanding users, alongside passive, low-cost meta-surfaces for power-constrained scenarios. By combining active gain with high selectivity and offering a complementary passive product line, this technology can deliver differentiated value and capture multiple segments of the growing meta-surface market.  The technology provider is seeking collaborators among telcos, building owners or facility managers, and communications equipment vendors.

Ready-mix concrete suppliers, precasters, and cement manufacturers are increasingly seeking sustainable alternatives to traditional cement due to the material’s significant carbon footprint. Cement alone contributes to approximately 8% of global CO2 emission. This innovation focuses on developing a low-carbon, cost-effective concrete by incorporating spent graphite, GGBS (Ground Granulated Blast-furnace Slag), and manufactured sand (M-sand)—all of which are by-products or waste materials. Spent graphite (supplied from used electric vehicle (EV) batteries) Ground Granulated Blast-furnace (GGBS - supplied from iron and steel production) Manufactured Sand (supplied by crushed granite, which is a more sustainable alternative to natural river sand) This innovation delivers an optimal concrete mix that achieves the ideal balance of performance, cost efficiency, and environmental sustainability. Rigorously tested to meet Singapore’s building standards the formulation is specifically engineered for the nation’s climate, durability demands, and construction norms—ensuring reliable performance while advancing sustainable building practices. The technology owner is seeking collaboration with ready-mix concrete suppliers, precast manufacturers, and cement producers for R&D collaboration and test-bedding.

Conventional computing environments often struggle with solving complex, computationally intensive problems, particularly in the realm of combinatorial optimisation. Quantum computing was developed to address these challenges by enabling the simultaneous exploration of multiple solution paths. However, full-scale quantum computing remains prohibitively expensive and technically challenging to implement. This technology presents a quantum-inspired alternative that leverages high-speed computing based on FPGA (Field-Programmable Gate Array) architecture. It enables parallel exploration of multiple potential solutions—without relying on the principles of quantum mechanics. By integrating an FPGA board preloaded with a custom optimisation algorithm (implemented in firmware and/or software) into a standard desktop PC, users can efficiently tackle complex optimisation problems using conventional IT infrastructure. Combinatorial optimisation involves identifying the optimal combination of variables that maximises or minimises a particular objective function under a set of constraints. This platform enables practical and scalable solutions across a wide range of applications, offering quantum-like performance without the operational burdens of quantum computing. The technology provider’s ideal collaboration partners include systems integrators to co-develop solutions and Institutes of Higher Learning (IHLs) to advance research in key application areas such as logistics and shipping, transportation operations, smart city initiatives, and industrial automation and operations research.

Global plastic production now exceeds 350 million tonnes per year, yet less than 15% is recycled. At the same time, regulators and end-users across automotive, electronics, packaging and infrastructure sectors are demanding higher-quality recycled materials and longer service time for plastic-based products. Traditional evaluation methods—relying on elapsed time or destructive testing—cannot accurately capture the complex, use-dependent degradation patterns of plastic materials caused by varying usage environments and environmental stresses. To bridge this gap, the technology owner has developed a novel non-destructive diagnostic platform that combines wide-band optical spectroscopy with a proprietary AI deterioration-diagnosis engine, which is trained on accelerated-aging protocols and real-world usage histories. In just minutes, and without damaging samples or interrupting production, the system delivers high-precision assessment of plastic degradation levels, remaining-life prediction, and key material property characterization. This rapid, on-site solution provides critical insights for recycling, refurbishment and preventive maintenance—driving down costs through extended, reliable plastic use and contributes meaningfully to sustainability goals and circular economy initiatives. The technology owner is seeking industrial & business partners in plastic recycling, consumer electronics refurbishment, recycled-plastic manufacturing, and infrastructure maintenance to pilot and co-develop real-world applications.

This flexible sensor technology enables precise detection of angular displacement and bending within a lightweight, thin, and conformable form factor. Available in both one-axis and two-axis versions to suit different motion sensing needs, the sensors operate on differential capacitive measurement, delivering zero-drift performance for high stability and long-term reliability. Engineered using advanced material technologies, this sensor platform features a thin, low-profile construction with skin- and fabric-compatible adhesion, making it ideal for seamless integration into wearables, human-machine interfaces, and motion tracking systems. Its high durability supports repeated bending cycles, while customizable geometries allow tailored solutions for diverse application needs, enabling real-time motion insights. This technology is well-suited for collaboration with a wide range of partners, including medical and rehabilitation centers, sports and fitness companies, robotics and exoskeleton developers, AR/VR interface designers, infrastructure solution providers, and research institutions. The preferred mode of engagement is R&D collaboration, aimed at co-developing and adapting the sensor platform to meet specific industry or application needs.

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 technology comprises two AI-powered software solutions that automate radiological image analysis to support the diagnosis and evaluation of knee osteoarthritis (OA) and lower limb alignment. One module enhances musculoskeletal diagnostics by detecting radiographic features such as joint space narrowing and osteophytes using criteria like Kellgren & Lawrence grading. It enables standardized, automated evaluations that support radiologists and orthopedic professionals in making accurate assessments. A complementary module focuses on analyzing lower limb alignment by measuring critical anatomical parameters including the Hip-Knee-Ankle angle, Joint Line Convergence Angle, and Mechanical Lateral Distal Femoral Angle. These automated assessments reduce human error and reading time while improving diagnostic accuracy and consistency. Designed for seamless integration with Picture Archiving and Communication Systems (PACS), this system fits effortlessly into existing radiology workflows. Target adopters include hospitals, imaging centers, orthopedic clinics, and telemedicine platforms seeking improved efficiency, diagnostic consistency, and enhanced musculoskeletal healthcare outcomes.

The Make Invisible Muscle Visible (MIMV) System is a non-invasive platform designed for full-spectrum muscle activity monitoring with high spatial and temporal precision. At its core lies a 20-channel high-density surface electromyography (HD-EMG) sensor array that wraps around a limb—such as the arm or leg—like a flexible brace, enabling comprehensive capture of both superficial and deep muscle activity. Real-time amplification and analog-to-digital conversion are embedded within the wearable unit, eliminating signal degradation and motion artifacts. This allows dynamic, wireless monitoring via Wi-Fi during actual movement, setting a new benchmark for muscle analytics in both research and applied settings. What sets the MIMV System apart is its ability to estimate deep muscle activation from surface-level data, enabled by a proprietary model-based signal processing algorithm. This makes the technology exceptionally versatile for diverse use cases—from analyzing intricate muscle coordination in elite athletes, to diagnosing and rehabilitating patients with neurological or movement disorders, to preserving and transmitting expert motor skills in traditional craftsmanship and skilled labor training. To maximize its potential impact, the technology owner is actively seeking collaborative partners such as clinical researchers in neurology and rehabilitation, companies developing wearable medical or sports performance technologies, and organizations dedicated to skilled labor education and movement training. These partners will play a critical role in co-developing real-world applications, validating performance in clinical and athletic contexts, and accelerating market deployment across healthcare, sports science, and vocational training sectors.