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 Language Processing

Zhipu AI

Venture Round in 2024
Zhipu AI is a data company focused on developing an AI-based large model platform that offers API services tailored to various customer needs. The company provides a range of smart application products, including the scientific and technological information analysis engine "AMiner" and AI cognitive engines such as CodeGeeX and CogView. These tools are designed to help users automate and optimize digital tasks, thereby reducing the required manual labor. Zhipu AI's advanced applications are built on its General Language Model (GLM) series, capable of handling tasks in both Chinese and English, making its offerings versatile and applicable across different linguistic contexts.

Zhipu AI

Series D in 2024
Zhipu AI is a data company focused on developing an AI-based large model platform that offers API services tailored to various customer needs. The company provides a range of smart application products, including the scientific and technological information analysis engine "AMiner" and AI cognitive engines such as CodeGeeX and CogView. These tools are designed to help users automate and optimize digital tasks, thereby reducing the required manual labor. Zhipu AI's advanced applications are built on its General Language Model (GLM) series, capable of handling tasks in both Chinese and English, making its offerings versatile and applicable across different linguistic contexts.

Zhipu AI

Series B in 2024
Zhipu AI is a data company focused on developing an AI-based large model platform that offers API services tailored to various customer needs. The company provides a range of smart application products, including the scientific and technological information analysis engine "AMiner" and AI cognitive engines such as CodeGeeX and CogView. These tools are designed to help users automate and optimize digital tasks, thereby reducing the required manual labor. Zhipu AI's advanced applications are built on its General Language Model (GLM) series, capable of handling tasks in both Chinese and English, making its offerings versatile and applicable across different linguistic contexts.

Zhipu AI

Series B in 2023
Zhipu AI is a data company focused on developing an AI-based large model platform that offers API services tailored to various customer needs. The company provides a range of smart application products, including the scientific and technological information analysis engine "AMiner" and AI cognitive engines such as CodeGeeX and CogView. These tools are designed to help users automate and optimize digital tasks, thereby reducing the required manual labor. Zhipu AI's advanced applications are built on its General Language Model (GLM) series, capable of handling tasks in both Chinese and English, making its offerings versatile and applicable across different linguistic contexts.

Zhipu AI

Series B in 2022
Zhipu AI is a data company focused on developing an AI-based large model platform that offers API services tailored to various customer needs. The company provides a range of smart application products, including the scientific and technological information analysis engine "AMiner" and AI cognitive engines such as CodeGeeX and CogView. These tools are designed to help users automate and optimize digital tasks, thereby reducing the required manual labor. Zhipu AI's advanced applications are built on its General Language Model (GLM) series, capable of handling tasks in both Chinese and English, making its offerings versatile and applicable across different linguistic contexts.

Unisound

Series D in 2021
Beijing Yunzhisheng Information Technology Co., Ltd. specializes in intelligent voice and speech processing technologies. Founded in June 2012, the company has developed proprietary speech recognition technologies and offers middleware and cloud platforms that deliver professional speech recognition services to internet enterprises and users. Its core technology encompasses voice technology, language technology, knowledge computing, and big data analysis, facilitating efficient communication between customers and machines. The company's technology team is highly qualified, with over 80% of its members holding doctoral degrees and possessing more than a decade of experience in voice recognition research and development. By leveraging cloud computing and mobile internet technologies, Yunzhisheng aims to enhance user interaction with devices, minimizing the need for manual input.

Koala Reading

Series B in 2018
Koala Reading is a children's reading app platform developed by Xiangyue Education Technology, specifically designed for K-12 students. The platform features a unique quantified Chinese graded reading standard known as the ER Framework, which assesses the reading difficulty of various Chinese texts. This allows the app to tailor reading materials to match individual students' reading abilities, providing personalized content that enhances language learning. Additionally, Koala Reading assists schools in establishing digital libraries and links student reading level assessments to their offline reading activities, promoting a more integrated approach to literacy development.

Koala Reading

Series A in 2017
Koala Reading is a children's reading app platform developed by Xiangyue Education Technology, specifically designed for K-12 students. The platform features a unique quantified Chinese graded reading standard known as the ER Framework, which assesses the reading difficulty of various Chinese texts. This allows the app to tailor reading materials to match individual students' reading abilities, providing personalized content that enhances language learning. Additionally, Koala Reading assists schools in establishing digital libraries and links student reading level assessments to their offline reading activities, promoting a more integrated approach to literacy development.

Kuaile Zhihui

Series A in 2017
Kuaile Zhihui, which means “happiness and intelligence”, is a Beijing-based artificial intelligence start-up developing educational robots for children. The company develops educational robots for kindergarten and primary school students, employing speech recognition, big data analysis, and deep learning. Its robots teach math, Chinese and English, and can adjust course content by evaluating a child’s learning ability based on its big data analysis system. Kuaile Zhihui was founded in 2015 by Lei Ming, former chief architect at Baidu Inc. and founder of music site Kuwo.

Unisound

Series B in 2014
Beijing Yunzhisheng Information Technology Co., Ltd. specializes in intelligent voice and speech processing technologies. Founded in June 2012, the company has developed proprietary speech recognition technologies and offers middleware and cloud platforms that deliver professional speech recognition services to internet enterprises and users. Its core technology encompasses voice technology, language technology, knowledge computing, and big data analysis, facilitating efficient communication between customers and machines. The company's technology team is highly qualified, with over 80% of its members holding doctoral degrees and possessing more than a decade of experience in voice recognition research and development. By leveraging cloud computing and mobile internet technologies, Yunzhisheng aims to enhance user interaction with devices, minimizing the need for manual input.

Unisound

Series A in 2013
Beijing Yunzhisheng Information Technology Co., Ltd. specializes in intelligent voice and speech processing technologies. Founded in June 2012, the company has developed proprietary speech recognition technologies and offers middleware and cloud platforms that deliver professional speech recognition services to internet enterprises and users. Its core technology encompasses voice technology, language technology, knowledge computing, and big data analysis, facilitating efficient communication between customers and machines. The company's technology team is highly qualified, with over 80% of its members holding doctoral degrees and possessing more than a decade of experience in voice recognition research and development. By leveraging cloud computing and mobile internet technologies, Yunzhisheng aims to enhance user interaction with devices, minimizing the need for manual input.
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