Core Insights - Deep Material, an AI and metal new materials R&D company, recently completed a multi-million A round financing led by He Shijia Capital and Chenhui Capital, with funds allocated for new material R&D, high-throughput automated laboratory upgrades, AI model development, and large-scale applications in vertical industries [1][2] Company Overview - Founded in 2021, Deep Material integrates AI throughout the metal new materials R&D process, including algorithm models, high-throughput laboratories, and material data systems, which is closely linked to the founder's background in AI and materials science [2][6] - The company aims to overcome data bottlenecks in metal materials R&D by using self-developed high-throughput equipment to generate consistent experimental data efficiently, reducing the R&D cycle from years to as little as two months and cutting costs significantly [2][6] Business Model and Strategy - Deep Material has shifted its business model from contract R&D to proactively selecting high-demand materials for independent R&D, focusing on high-strength aluminum alloys for 3D printing that meet aerospace standards at a significantly lower cost compared to overseas products [6][7] - The company anticipates that the global metal additive manufacturing market will grow from approximately $5.87 billion in 2024 to $6.68 billion in 2025, with a projected compound annual growth rate of about 13.7% over the next decade [7] Future Goals - In the next two years, Deep Material aims to achieve mass production and profitability for one or two materials, with a longer-term goal of expanding into more industries and completing an IPO within five to ten years [8] Investor Perspectives - He Shijia Capital views the investment as a recognition of Deep Material's ability to combine AI with intelligent additive manufacturing, expecting the DM Agent platform to accelerate low-cost material research and innovation [9] - Chenhui Capital is optimistic about the "AI + new materials" sector and believes that Deep Material's approach can transform traditional material R&D from trial-and-error to predictive methods, showcasing strong industrialization potential [9]

Core Viewpoint - Deep Material, an AI-driven metal new materials R&D company, has completed a multi-million A-round financing to enhance material R&D, upgrade high-throughput automated laboratories, develop AI models, and scale applications in vertical industries [1][2]. Company Overview - Founded in 2021, Deep Material integrates AI throughout the metal new materials R&D process, building its own algorithms, high-throughput laboratories, and material data systems [2]. - The founder, Wang Xuanzhe, has a background in AI and materials science, recognizing the potential of AI in material R&D since 2015 [2]. Technology and Innovation - Deep Material addresses data bottlenecks in metal material R&D by using self-developed high-throughput equipment to generate consistent experimental data efficiently, reducing R&D cycles from years to as little as two months and cutting costs significantly [2][5]. - The company has developed a materials intelligence system that combines high-throughput experiments with AI models for formula and process optimization [2]. Business Model - The company has shifted from contract R&D services to proactively selecting high-demand materials for independent R&D projects, focusing on high-strength aluminum alloys for 3D printing [5]. - The first product exceeds 550 MPa in strength, meeting aerospace standards while being significantly cheaper than similar overseas products [5]. Market Opportunity - The global metal additive manufacturing market is projected to grow from approximately $5.87 billion in 2024 to $6.68 billion in 2025, with a compound annual growth rate of about 13.7% over the next decade [6]. - There is a limited variety of metal materials suitable for stable printing, creating opportunities for Deep Material to meet the customized needs of industries like aerospace and consumer electronics [6]. Future Goals - In the next two years, the company aims to achieve mass production and profitability for one or two materials, with plans to expand into more industries and eventually go public within five to ten years [7].