Qiming Venture Partners

Qiming Venture Partners, established in 2006, is a leading China-based venture capital firm with offices in Shanghai, Beijing, Suzhou, Hong Kong, and Singapore. It manages multiple funds totaling $9.5 billion, focusing on early and growth-stage investments in the Technology and Consumer (T&C) and Healthcare industries. With a strong track record, over 200 portfolio companies have achieved exits, and over 70 have become unicorns or super unicorns. Qiming Venture Partners USA, founded in 2017, is its affiliate in Cambridge, Massachusetts, specializing in healthcare, therapeutics, and digital health investments. The firm is known for its deep technical expertise, hands-on operational support, and thought leadership in the venture capital industry.

Zhang Ao

Executive Director

Artavazd Arumov Ph.D

Principal

Cyrus Chan

Associate

Nan Chen

Principal

David Chu

Partner

Phil DiGiacomo

Principal

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

Co-Founder and 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

Will McConnell

Principal

Gary Rieschel

Founder and Managing Partner

James Shen

Venture Partner

Motao Sun

Vice President

Amy Tang

Venture Partner

Yi Tang

Principal

Shiyu Wang

Partner

Rachel Wang

Venture Partner

James Wang

Venture Partner

Jing Wu

Partner

Gillian Xu

RMB funds CFO

Peter (Ming) Yin

Principal, Cleantech

Janet Yu

Partner

Oscar Zhang

Principal

Yafeng Zhou

Associate

Alex Zhou

Partner

Zhiyuan Zhou

Associate

Zhifeng Zhou

Managing Partner

Jing-Shan Hu Ph.D

Venture Partner of Healthcare

Phillip DiGiacomo Ph.D

Principal

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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