The startup manufactures specialized materials such as packaging for secondary batteries, functional coatings for electronic components, and recycled plastics, enabling industries to enhance material processing and establish efficient recycling systems. By providing these tailored solutions, the company addresses the need for sustainable resource management in manufacturing and electric vehicle production.
Funding
Funding not disclosed
Founders
Product
Problem
The increasing demand for secondary batteries and electronic components necessitates specialized materials and efficient recycling systems, yet many industries struggle to find tailored solutions for material processing and sustainable resource management.
Solution
Daejin Advanced Materials manufactures specialized materials, including packaging for secondary batteries, functional coatings for electronic components, safety and engineering plastics for electric vehicles, and recycled plastics. The company utilizes carbon-based materials like CNT, Graphene, and Fullerene, combined with expertise in polymers and inorganic substances, to develop unique materials and components. Daejin leverages its capabilities in organic synthesis, polymer blending, and nanocomposite technologies to provide advanced materials and components, focusing on functional special materials and plastic recycle technology.
Target Audience
The primary customers are manufacturers in the secondary battery, electronic component, and electric vehicle industries seeking advanced materials and sustainable resource management solutions.
Features
- Production of packaging materials for secondary batteries using high electrical conductivity nanocomposites
- Development of functional coating agents for electronic materials
- Production of safety and engineering plastics for electric vehicle components
- Development of recycled polymer materials
- Expertise in carbon-based materials including CNT, Graphene, and Fullerene
- Development of eco-friendly plastic material technology
- Application of AI systems and machine learning for customized functional materials
- Development of a reliable evaluation system for high electrical conductivity nanocomposites