According to the Paris Agreement, a global goal is to limit the earth’s temperature increase to 1.5°C this century. While switching to renewables and removing carbon from the atmosphere can bring a positive impact, it’s still not enough. Hence, we aim to use an engineering approach to counteract the effects of climate change. While these approaches are not without their challenges and potential risks, they offer a promising path forward in the fight against climate change.
At the same time, about half of all energy consumed in the world is used on transportation, and this is due to the increasing number of vehicles on the road as well as the growing demand for goods and services that require transportation. Although this trend has resulted in difficulties in transportation, it is not the only factor contributing to the rising cost of housing, which has become a major concern for many people worldwide.
We want people to live somewhere nice, work together, and enjoy easier commutes. We understand that this requires a multi-faceted approach that involves working closely with different industries such as automotive, aviation, and construction, to reduce their costs and environmental impact. By combining multiple strategies and approaches, we can work towards achieving the goal set out in the Paris Agreement, protecting the planet, and creating a more sustainable future for ourselves and for generations to come.
In 7-12 years, Meltoshape aspires to be the leading full-cycle manufacturing company operating globally with prodcutions in all tech and industrial hubs. The company is committed to creating affordable, high-precision, and sustainable parts and components by leveraging the power of 3D printing technology. In doing so, Meltoshape will significantly reduce production waste and achieve zero CO2 emission. The company aims to upgrade most manufacturing industries by providing innovative solutions to its customers that are both cost-effective and environmentally friendly. Meltoshape's mission is to make cutting-edge manufacturing processes accessible to small and medium-sized enterprises as well as large corporations, thus contributing to the growth and development of the global economy.
One of the basic requirements to minimize the risk of raw materials logistics is to have a broad and easy supply chain that can be managed effectively in terms of pricing. Therefore, we have developed a comprehensive strategy to launch our own material production in-house. This will allow us to not only have a manageable list of 3D printing material types but also to ensure that we have control over the quality of the materials being used in our production process. By doing so, we can reduce the risk of supply chain disruptions, and minimize the potential impact on our operations. Additionally, this will enable us to have greater flexibility in terms of the types of materials we can use and to experiment with new materials to improve our product offerings. Ultimately, this will give us a competitive advantage in the market, while also ensuring that we are able to provide high-quality products to our customers at a reasonable cost.
Our plan is to have in-house 3D printing parts design and leverage cutting-edge generative design software to reduce the weight of the parts. This will allow us to not only lower our manufacturing costs but also reduce our carbon footprint and contribute to a more sustainable future. Additionally, we will invest in our employees' professional development by offering training as well as providing opportunities for growth within the company. By doing so, we hope to foster a culture of innovation and continuous improvement, allowing us to stay ahead of the competition and maintain our position as a leader in the industry.
Finally, we firmly believe in the benefits of the intersection of artificial intelligence and manufacturing. By combining these two fields, we can provide intelligent solutions more quickly, which can help to increase efficiency and productivity in various industries. In addition, the application of AI in manufacturing can lead to improved quality control, predictive maintenance, and more accurate forecasting. By leveraging the power of machine learning algorithms, it becomes possible to analyze vast amounts of data and identify patterns and insights that would otherwise be difficult to see. Ultimately, we are confident that AI and manufacturing will continue to evolve and transform the way we work and live, and we are excited to be at the forefront of this revolution.
