Introduction – Company Background

GuangXin Industrial Co., Ltd. is a specialized manufacturer dedicated to the development and production of high-quality insoles.

With a strong foundation in material science and footwear ergonomics, we serve as a trusted partner for global brands seeking reliable insole solutions that combine comfort, functionality, and design.

With years of experience in insole production and OEM/ODM services, GuangXin has successfully supported a wide range of clients across various industries—including sportswear, health & wellness, orthopedic care, and daily footwear.

From initial prototyping to mass production, we provide comprehensive support tailored to each client’s market and application needs.

At GuangXin, we are committed to quality, innovation, and sustainable development. Every insole we produce reflects our dedication to precision craftsmanship, forward-thinking design, and ESG-driven practices.

By integrating eco-friendly materials, clean production processes, and responsible sourcing, we help our partners meet both market demand and environmental goals.

Core Strengths in Insole Manufacturing

At GuangXin Industrial, our core strength lies in our deep expertise and versatility in insole and pillow manufacturing. We specialize in working with a wide range of materials, including PU (polyurethane), natural latex, and advanced graphene composites, to develop insoles and pillows that meet diverse performance, comfort, and health-support needs.

Whether it's cushioning, support, breathability, or antibacterial function, we tailor material selection to the exact requirements of each project-whether for foot wellness or ergonomic sleep products.

We provide end-to-end manufacturing capabilities under one roof—covering every stage from material sourcing and foaming, to precision molding, lamination, cutting, sewing, and strict quality control. This full-process control not only ensures product consistency and durability, but also allows for faster lead times and better customization flexibility.

With our flexible production capacity, we accommodate both small batch custom orders and high-volume mass production with equal efficiency. Whether you're a startup launching your first insole or pillow line, or a global brand scaling up to meet market demand, GuangXin is equipped to deliver reliable OEM/ODM solutions that grow with your business.

Customization & OEM/ODM Flexibility

GuangXin offers exceptional flexibility in customization and OEM/ODM services, empowering our partners to create insole products that truly align with their brand identity and target market. We develop insoles tailored to specific foot shapes, end-user needs, and regional market preferences, ensuring optimal fit and functionality.

Our team supports comprehensive branding solutions, including logo printing, custom packaging, and product integration support for marketing campaigns. Whether you're launching a new product line or upgrading an existing one, we help your vision come to life with attention to detail and consistent brand presentation.

With fast prototyping services and efficient lead times, GuangXin helps reduce your time-to-market and respond quickly to evolving trends or seasonal demands. From concept to final production, we offer agile support that keeps you ahead of the competition.

Quality Assurance & Certifications

Quality is at the heart of everything we do. GuangXin implements a rigorous quality control system at every stage of production—ensuring that each insole meets the highest standards of consistency, comfort, and durability.

We provide a variety of in-house and third-party testing options, including antibacterial performance, odor control, durability testing, and eco-safety verification, to meet the specific needs of our clients and markets.

Our products are fully compliant with international safety and environmental standards, such as REACH, RoHS, and other applicable export regulations. This ensures seamless entry into global markets while supporting your ESG and product safety commitments.

ESG-Oriented Sustainable Production

At GuangXin Industrial, we are committed to integrating ESG (Environmental, Social, and Governance) values into every step of our manufacturing process. We actively pursue eco-conscious practices by utilizing eco-friendly materials and adopting low-carbon production methods to reduce environmental impact.

To support circular economy goals, we offer recycled and upcycled material options, including innovative applications such as recycled glass and repurposed LCD panel glass. These materials are processed using advanced techniques to retain performance while reducing waste—contributing to a more sustainable supply chain.

We also work closely with our partners to support their ESG compliance and sustainability reporting needs, providing documentation, traceability, and material data upon request. Whether you're aiming to meet corporate sustainability targets or align with global green regulations, GuangXin is your trusted manufacturing ally in building a better, greener future.

Let’s Build Your Next Insole Success Together

Looking for a reliable insole manufacturing partner that understands customization, quality, and flexibility? GuangXin Industrial Co., Ltd. specializes in high-performance insole production, offering tailored solutions for brands across the globe. Whether you're launching a new insole collection or expanding your existing product line, we provide OEM/ODM services built around your unique design and performance goals.

From small-batch custom orders to full-scale mass production, our flexible insole manufacturing capabilities adapt to your business needs. With expertise in PU, latex, and graphene insole materials, we turn ideas into functional, comfortable, and market-ready insoles that deliver value.

Contact us today to discuss your next insole project. Let GuangXin help you create custom insoles that stand out, perform better, and reflect your brand’s commitment to comfort, quality, and sustainability.

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Smart pillow ODM manufacturer Taiwan

Are you looking for a trusted and experienced manufacturing partner that can bring your comfort-focused product ideas to life? GuangXin Industrial Co., Ltd. is your ideal OEM/ODM supplier, specializing in insole production, pillow manufacturing, and advanced graphene product design.

With decades of experience in insole OEM/ODM, we provide full-service manufacturing—from PU and latex to cutting-edge graphene-infused insoles—customized to meet your performance, support, and breathability requirements. Our production process is vertically integrated, covering everything from material sourcing and foaming to molding, cutting, and strict quality control.Custom foam pillow OEM in Vietnam

Beyond insoles, GuangXin also offers pillow OEM/ODM services with a focus on ergonomic comfort and functional innovation. Whether you need memory foam, latex, or smart material integration for neck and sleep support, we deliver tailor-made solutions that reflect your brand’s values.

We are especially proud to lead the way in ESG-driven insole development. Through the use of recycled materials—such as repurposed LCD glass—and low-carbon production processes, we help our partners meet sustainability goals without compromising product quality. Our ESG insole solutions are designed not only for comfort but also for compliance with global environmental standards.Memory foam pillow OEM factory China

At GuangXin, we don’t just manufacture products—we create long-term value for your brand. Whether you're developing your first product line or scaling up globally, our flexible production capabilities and collaborative approach will help you go further, faster.Insole ODM production factory in Taiwan

📩 Contact us today to learn how our insole OEM, pillow ODM, and graphene product design services can elevate your product offering—while aligning with the sustainability expectations of modern consumers.Memory foam pillow OEM factory Taiwan

Scientists developed a new framework to measure how well organisms are adapted to their niche. Rigorous statistical tools are essential for quantifying adaptation and testing its predictions against experimental data. Scientists created a framework to test the predictions of biological optimality theories, including evolution. Evolution adapts and optimizes organisms to their ecological niche. This could be used to predict how an organism evolves, but how can such predictions be rigorously tested? The Biophysics and Computational Neuroscience group led by professor Gašper Tkačik at the Institute of Science and Technology (IST) Austria has now created a mathematical framework to do exactly that. Evolutionary adaptation often finds clever solutions to challenges posed by different environments, from how to survive in the dark depths of the oceans to creating intricate organs such as an eye or an ear. But can we mathematically predict these outcomes? Postdoctoral fellow Wiktor Mynarski. Credit: Kris Brewer This is the key question that motivates the Tkačik research group. Working at the intersection of biology, physics, and mathematics, they apply theoretical concepts to complex biological systems, or as Tkačik puts it: “We simply want to show that it is sometimes possible to predict change in biological systems, even when dealing with such a complex beast as evolution.” Climbing Mountains in Many Dimensions In a joint work by the postdoctoral fellow Wiktor Mynarski and PhD student Michal Hledík, assisted by group alumnus Thomas Sokolowski, who is now working at the Frankfurt Institute for Advanced Studies, the scientists spearheaded an essential advance towards their goal. They developed a statistical framework that uses experimental data from complex biological systems to rigorously test and quantify how well such a system is adapted to its environment. An example of such an adaptation is the design of the eye’s retina that optimally collects light to form a sharp image, or the wiring diagram of a worm’s nervous system that ensures all the muscles and sensors are connected efficiently, using the least amount of neural wiring. PhD student Michal Hledík. Credit: Martin Šveda The established model the scientists base their results on represents adaptation as movement on a landscape with mountains and valleys. The features of an organism determine where it is located on this landscape. As evolution progresses and the organism adapts to its ecological niche, it climbs towards the peak of one of the mountains. Better adaptation results in a better performance in the environment — for example producing more offspring — which in turn is reflected in a higher elevation on this landscape. Therefore, a falcon with its sharp eyesight is located at a higher point than the bird’s ancestor whose vision was worse in the same environment. The new framework by Mynarski, Hledík, and colleagues allows them to quantify how well the organisms are adapted to their niche. On a two-dimensional landscape with mountains and valleys, calculating the elevation appears trivial, but real biological systems are much more complex. There are many more factors influencing it, which results in landscapes with many more dimensions. Here, intuition breaks down and the researchers need rigorous statistical tools to quantify adaptation and test its predictions against experimental data. This is what the new framework delivers. Building Bridges in Science IST Austria provides a fertile ground for interdisciplinary collaborations. Wiktor Mynarski, originally coming from computer science, is interested in applying mathematical concepts to biological systems. Professor Gašper Tkačik. Credit: Nadine Poncioni/IST Austria “This paper is a synthesis of many of my scientific interests, bringing together different biological systems and conceptual approaches,” he describes this most recent study. In his interdisciplinary research, Michal Hledík works with both the Tkačik group and the research group led by Nicholas Barton in the field of evolutionary genetics at IST Austria. Gašper Tkačik himself was inspired to study complex biological systems through the lens of physics by his PhD advisor William Bialek at Princeton University. “There, I learned that the living world is not always messy, complex, and unapproachable by physical theories. In contrast, it can drive completely new developments in applied and fundamental physics,” he explains. “Our legacy should be the ability to point a finger at selected biological systems and predict, from first principles, why these systems are as they are, rather than being limited to describing how they work,” Tkačik describes his motivation. Prediction should be possible in a controlled environment, such as with the relatively simple E. coli bacteria growing under optimal conditions. Another avenue for prediction is systems that operate under hard physical limits, which strongly constrain evolution. One example is our eyes that need to convey high-resolution images to the brain while using the minimal amount of energy. Tkačik summarizes, “Theoretically deriving even a bit of an organism’s complexity would be the ultimate answer to the ‘Why?’ question that humans have grappled with throughout the ages. Our recent work creates a tool to approach this question, by building a bridge between mathematics and biology.” Reference: “Statistical analysis and optimality of neural systems” by Wiktor Młynarski, Michal Hledík, Thomas R. Sokolowski and Gašper Tkačik, 15 February 2021, Neuron. DOI: 10.1016/j.neuron.2021.01.020

The study demonstrates that animals rarely attempt to avoid mating with relatives, a finding that was consistent across a wide range of conditions and experimental approaches. Wolves were among the species studied. Credit: Eric Dufour/Mostphotos We usually assume that inbreeding is bad and should be avoided under all circumstances. But new research performed by researchers at Stockholm University, published in Nature Ecology and Evolution, shows that there is little support for this assumption. The idea that animals should avoid mating with relatives has been the starting point for hundreds of scientific studies performed among many species. But it turns out the picture is more complicated. “People assume that animals should avoid mating with a relative when given the chance,” says Raïssa de Boer, researcher in zoology at Stockholm University. “But evolutionary theory has been telling us that animals should tolerate, or even prefer, mating with relatives under a broad range of conditions for more than four decades.” The study provides a synthesis of 139 experimental studies in 88 species spanning 40 years of research, settling the longstanding debate between theoretical and empirical expectations about if and when animals should avoid inbreeding. “We address the ‘elephant in the room’ of inbreeding avoidance studies by overturning the widespread assumption that animals will avoid inbreeding whenever possible,” says Raïssa de Boer. The study demonstrates that animals rarely attempt to avoid mating with relatives, a finding that was consistent across a wide range of conditions and experimental approaches. “Animals don’t seem to care if their potential partner is a brother, sister, cousin or an unrelated individual when they are choosing who to mate with,” says Regina Vega Trejo, a researcher at Stockholm University and an author of the paper. Dr. John Fitzpatrick, Wallenberg Academy Fellow, Department of Zoology, Stockholm University. Credit: Magnus Bergström/Knut and Alice Wallenberg Foundation The study also looked at inbreeding avoidance in humans, comparing the results with similar experiments with animals. “We compared studies that asked if humans avoid inbreeding when presented with pictures of faces that were digitally manipulated to make the faces look either more or less related to studies that used similar approaches in other animals. Just like other animals, it turns out that there is no evidence that humans prefer to avoid inbreeding,” says Raïssa de Boer. “Our findings help explain why many studies failed to find clear support for the inbreeding avoidance and offer a useful roadmap to better understand how cognitive and ecologically relevant factors shape inbreeding avoidance strategies in animals,” says John Fitzpatrick an associate professor in Zoology at Stockholm University and the senior author of the study. The findings will have wide reaching implications for conservation biology. Mate choice is increasingly being used in conservation breeding programs in an attempt to the success of conservation efforts for endangered species. What does this mean? “A primary goal of conservation efforts is to maintain genetic diversity, and mate choice is generally expected to achieve this goal. Our findings urge caution in the application of mate choice in conservation programs,” says John Fitzpatrick. Reference: “Meta-analytic evidence that animals rarely avoid inbreeding” by Raïssa A. de Boer, Regina Vega-Trejo, Alexander Kotrschal and John L. Fitzpatrick, 3 May 2021, Nature Ecology and Evolution. DOI: 10.1038/s41559-021-01453-9

Fascia of live mouse pancreas, in which the extracellular matrix is labeled with Rhobo6 (red) and nuclei are labeled with Hoechst (cyan). Maximum intensity projection shown. Credit: Fiore et al. Scientists have developed Rhobo6, a light microscopy probe that reveals extracellular matrix structures in live tissues, advancing biological research and disease diagnostics. Rhobo6 is a light microscopy probe that selectively binds to extracellular matrix glycans, increasing its fluorescence and allowing clear visualization of these structures in live tissues. This innovative tool enables researchers to study the extracellular matrix in detail without disrupting native biological processes, offering new insights into tissue biology and disease. Before arriving at Janelia three years ago, Postdoctoral Scientist Antonio Fiore was designing and building optical instruments like microscopes and spectrometers. Fiore, a physicist by training, came to the Pedram Lab to try something new. “I focused on the physics rather than investing in the biological applications of the optics I was developing,” Fiore says. “I came to the Pedram Lab in search of a different kind of impact, joining a team that explores areas of biology that need new tools, while keeping a connection to light microscopy.” So far, Fiore’s new direction is paying off. Fiore and Janelia Group Leader Kayvon Pedram, along with a team of researchers, have developed Rhobo6, a light microscopy probe that gives scientists an unprecedented look at the extracellular matrix—the collection of organized molecular structures that fills the spaces between cells in our bodies. The extracellular matrix supports and gives structure to our cells and tissues: It provides a scaffold for cells to grow in, dictates the mechanical properties of tissues, and supplies pathways for cells to travel. “If our bodies are a community of cells, we can think of the extracellular matrix as the infrastructure that the community builds,” Pedram says. “So, trying to understand tissue biology without considering the extracellular matrix is like trying to understand a city while ignoring all the buildings, roads, and trains. You’ll miss a lot.” Looking between cells Despite its importance, the extracellular matrix hasn’t been investigated as deeply as its intracellular counterparts. That’s because it is difficult to peer between cells and characterize extracellular structures without perturbing them. To overcome these barriers, the team set out to develop an easier way for researchers to use light microscopy to study these extracellular structures. They designed a probe, Rhobo6, that does not permeate cells but stays in the surrounding area. Within those extracellular spaces, the molecule reversibly binds to glycans, one of the most abundant biomolecules of the extracellular matrix. Upon binding, Rhobo6 increases its fluorescence. As a result of this reversible, fluorogenic binding, researchers can visualize extracellular matrix structure in live tissues and animals without interfering with native biological processes. Rhobo6 could also be useful in studying diseases linked to changes in the extracellular matrix and in diagnostic imaging, according to the researchers. The team collaborated with Valerie Weaver’s lab at the University of California San Francisco to use Rhobo6 in surgical imaging of breast tumors in live animals, finding stark differences between the matrix surrounding primary tumors and nearby healthy tissue. A collaborative effort The team says Janelia has been an ideal environment for developing and testing Rhobo6, which required a multidisciplinary effort. For example, Group Leader Shaohe Wang was involved in the project from the beginning and was instrumental in setting up experiments to test the probe in the mouse salivary glands that his lab studies. Pratik Kumar, a Postdoctoral Scientist in the Lavis Lab, helped test the chemical stability of Rhobo6 over time. Members of the Rubin, Shroff, and Ahrens labs contributed to testing of Rhobo6 in fruit flies, roundworms, and zebrafish, showing that Rhobo6 is compatible with various commonly used model organisms. These collaborations not only benefitted the project, but were also helpful to Pedram and Fiore, who were both relatively new to Janelia. “Tony and I have many more friends and collaborators on campus than we would otherwise have had if it weren’t for this project,” Pedram says. Guoqiang Yu, a Postdoctoral Scientist in the Pedram Lab and a co-author on the new study, has also scaled up the synthesis of Rhobo6, enabling the team to share the probe widely with the scientific community. “I’m looking forward to seeing the gorgeous images of extracellular matrix that researchers are going to capture,” Fiore says. “And I’m even more excited about the new questions we and others will be able to answer with this tool.” Reference: “Live imaging of the extracellular matrix with a glycan-binding fluorophore” by Antonio Fiore, Guoqiang Yu, Jason J. Northey, Ronak Patel, Thomas A. Ravenscroft, Richard Ikegami, Wiert Kolkman, Pratik Kumar, Tanya L. Dilan, Virginia M. S. Ruetten, Misha B. Ahrens, Hari Shroff, Shaohe Wang, Valerie M. Weaver and Kayvon Pedram, 6 February 2025, Nature Methods. DOI: 10.1038/s41592-024-02590-2

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