（原标题：机器人、低空持续火热，一星机器人种子轮融资数亿元｜投融资周报） 一句话趋势：具身智能持续火热，低空经济备受关注，芯片与半导体赛道热度不减。 过去一周披露的投融资案例显示，科技与制造行业依旧是资本关注重点，低空经济赛道备受青睐。微分智飞（杭州）科技有限公司连续完成两亿 元Pre-A轮和Pre-A+轮融资，其中，Pre-A轮融资由东方富海、洪泰基金领投，雅瑞资本跟投；Pre-A+轮由华映资本领投，深创投、尚颀资本、长 石资本跟投。 消费服务 医疗健康领域，生物医药依然表现稳健，大额融资方面，北京华龛生物科技有限公司宣布完成数亿元B+轮融资，本轮融资汇聚多家头部投资机 构，包括北京市医药健康产业投资基金、北京市新材料产业投资基金、工融顺禧基金、京国瑞基金、国新基金、远至资本、招银国际资本、重庆 向新力基金、国康基金、中关村资本等。 消费服务领域，专注中式汉堡的麒麟燚餐饮管理（成都）有限责任公司宣布完成1860万元A轮融资，由四川智胜资本投资。 21创投不完全统计，9月15日—9月21日，报告日期内国内一级市场发生融资事件24起。其中，有21笔融资披露了融资金额和币种信息，总规模约 合人民币30.496亿元 ...

Core Viewpoint - Meiyang Innovation Technology has completed a multi-hundred million yuan Pre-A+ round of financing, which will be used to accelerate clinical registration, core technology iteration, and market expansion [2] Group 1: Company Overview - Meiyang is an AI-driven medical robotics and intelligent hardware innovation company, focusing on skin and shallow soft tissue treatment [5][6] - The company aims to create a scalable, traceable, and verifiable medical-grade intelligent hardware product matrix and service system [5] Group 2: Technology and Innovation - Meiyang's intelligent platform integrates high-precision imaging, multi-modal AI analysis, and precise injection capabilities, achieving a leap in non-invasive treatment precision and efficiency [3][4] - The company has developed a smart closed-loop platform that includes intelligent imaging diagnosis, energy source generator design, and AI deep learning technologies [6][9] Group 3: Market Position and Strategy - The company is positioned to leverage the rapid growth window for AI-driven medical-grade intelligent hardware, driven by the "Healthy China" strategy and the push for domestic medical device innovation [5][10] - Meiyang's strategy aligns with national policies promoting AI algorithm innovation and high-precision surgical robots, which will accelerate its technology transfer and market expansion [10][12] Group 4: Team and Expertise - The founding team consists of experts from various fields, including clinical medicine, aerospace, precision instrument design, and AI, with over 15 years of experience [5][6] - The team has established long-term collaborations with domestic and international clinical and industrial partners, ensuring a solid foundation for clinical demand definition and reproducible engineering methodologies [5][6]