近2亿元融资加码！因克斯引领具身智能核心零部件赛道，构建全栈硬件生态

Core Insights - Inks, founded in 2022, has emerged as a leader in the upstream industry chain of embodied intelligence, focusing on robotics and joint modules, with a strong emphasis on self-research and production capabilities [2] - The company has successfully completed nearly 200 million RMB in a new financing round, indicating strong market recognition of its industry position and growth potential [2] Group 1: Product Development and Market Position - Inks has achieved significant milestones in the joint module sector, with a projected shipment of over 100,000 units by 2025, making it the first company in the industry to reach this level of annual shipments [2] - The company has established a comprehensive technical system and mass production capability, covering various core components such as integrated joints, dexterous hands, communication modules, and battery systems [2][8] - Inks has developed a full-process independent research capability for key components, creating unique technical barriers in areas like reducer structure design and motor process optimization [3] Group 2: Customer Engagement and Service - Inks provides full-cycle empowerment for clients at different development stages, offering standardized product libraries and technical support for rapid prototype iteration [6] - The company has built a closed-loop system for "research-production-testing," enabling large-scale delivery of 100,000 to 1 million units with high yield and consistency [6] - Over 90% of industry clients have recognized Inks as a core partner, with notable selections by leading companies in the field of embodied intelligence [6] Group 3: Strategic Transition and Future Plans - Inks is transitioning towards becoming a "hardware innovation infrastructure service provider," aiming to create a full-stack hardware ecosystem [8] - The company plans to enhance its production capacity and supply chain after the recent financing, focusing on scaling delivery capabilities and increasing R&D investment for product iteration [11]