Qiming Venture Partners

Qiming Venture Partners is a prominent venture capital firm based in Shanghai, China, founded in 2006. With additional offices in Beijing, Suzhou, Hong Kong, and Singapore, the firm focuses on early to growth-stage investments across various sectors, including healthcare, information technology, consumer goods, mobile internet, artificial intelligence, and clean technology. Qiming Venture Partners has a strong track record, having invested in over 530 innovative companies, with more than 200 achieving successful exits through public offerings or mergers and acquisitions. The firm is recognized for its deep technical expertise and hands-on operational support, making it a preferred partner for CEOs and startups seeking to scale their operations. Its partners are often sought after as board members, reflecting their status as respected business leaders and thought leaders in the venture capital landscape.

Zhang Ao

Executive Director

Cyrus Chan

Associate

Nan Chen

Principal

David Chu

Partner

Anna French

Managing Partner

Yuxin Fu

Vice President

Jinda Gao

Principal

Kuantai Yeh

Partner

Robert Headley

Partner

Maykin Ho

Venture Partner

William Hu

Managing Partner

Duane Kuang

Founding Managing Partner

Nisa Leung

Managing Partner

Dingzheng Li

Vice President

Jing Liu

Vice President

Chang Liu

Associate

Bin Liu

Vice President

Biao Lu

Associate

Shuo Mao

Principal

Gary Rieschel

Founder and Managing Partner

Motao Sun

Vice President

Amy Tang

Venture Partner

Yi Tang

Principal

Shiyu Wang

Partner

Bonnie Wang

Principal

Rachel Wang

Venture Partner

James Wang

Venture Partner

Jing Wu

Partner

Gillian Xu

RMB funds CFO

Peter (Ming) Yin

Principal, Cleantech

Janet Yu

Partner

Yafeng Zhou

Associate

Alex Zhou

Partner

Zhiyuan Zhou

Associate

Jing-Shan Hu Ph.D

Venture Partner of Healthcare

Past deals in Streaming

Video Rebirth

Angel Round in 2025
Video Rebirth Limited is a private limited company that is established with shares.

CastBox

Series C in 2021
CastBox is a spoken audio platform founded in 2016 and based in Beijing, China, with additional offices in Hong Kong and San Francisco. The platform allows users to easily find, access, and enjoy a wide range of spoken audio content, including podcasts, on-demand radio, and audiobooks, across multiple devices such as mobile phones, desktops, and smart home devices. CastBox employs proprietary technology, including curated podcast recommendations and an in-audio deep search feature powered by natural language processing and machine learning. This technology enables the platform to deliver personalized listening experiences tailored to individual user preferences and habits. The service is available in multiple languages, making it accessible to a global audience.

CastBox

Series B in 2018
CastBox is a spoken audio platform founded in 2016 and based in Beijing, China, with additional offices in Hong Kong and San Francisco. The platform allows users to easily find, access, and enjoy a wide range of spoken audio content, including podcasts, on-demand radio, and audiobooks, across multiple devices such as mobile phones, desktops, and smart home devices. CastBox employs proprietary technology, including curated podcast recommendations and an in-audio deep search feature powered by natural language processing and machine learning. This technology enables the platform to deliver personalized listening experiences tailored to individual user preferences and habits. The service is available in multiple languages, making it accessible to a global audience.

CastBox

Series A in 2017
CastBox is a spoken audio platform founded in 2016 and based in Beijing, China, with additional offices in Hong Kong and San Francisco. The platform allows users to easily find, access, and enjoy a wide range of spoken audio content, including podcasts, on-demand radio, and audiobooks, across multiple devices such as mobile phones, desktops, and smart home devices. CastBox employs proprietary technology, including curated podcast recommendations and an in-audio deep search feature powered by natural language processing and machine learning. This technology enables the platform to deliver personalized listening experiences tailored to individual user preferences and habits. The service is available in multiple languages, making it accessible to a global audience.
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