Through AI-driven reproductive medicine innovation, we deliver more precise and efficient clinical support for conception. We are committed to turning cutting-edge technology into hope for every family.
Shanghai Qiubei Medical Technology Co., Ltd. is a technology innovator focused on AI-assisted systems for reproductive medicine. Headquartered in Pujiang Town, Minhang District, Shanghai, the company brings together top talent in reproductive medicine, deep learning and life sciences.
We deeply understand the pain points of assisted reproduction. Our in-house AI fertility assessment and follicle monitoring systems significantly improve embryo selection accuracy and pregnancy success rates. Qiubei Medical is not only a technology developer, but also a driving force behind the digital transformation of the assisted reproduction industry.
Shanghai Qiubei Medical Technology Co., Ltd. is not only a medical technology R&D company, but also operates its own healthcare service entity. We wholly own and operate the “Qiubei Internet Hospital”, holding a formal internet healthcare practice license issued by China's National Health Commission.
With this valuable license, we seamlessly combine leading AI fertility technology with compliant clinical services—offering online consultations, electronic prescriptions, cloud-based medical records and in-depth embryo data interpretation. This upgrades us from a technology tool to a full clinical service platform, building a rare “hard tech + soft services + true compliance” moat.
Qiubei Medical officially set sail in Pujiang, Shanghai.
Secured tens of millions in venture capital to fuel technology development.
Qiubei's nationally certified internet healthcare license approved.
World's first 32-unit high-throughput desktop dry embryo incubator certified.
Released a new generation of in-house core algorithms for assisted-reproduction AI models.
National-Level Certification
Good Manufacturing Practice for Medical Devices
Multiple products with Class II certification
Proprietary IP for core algorithms