GGV Capital IX is a venture capital fund managed by GGV Capital, a global firm founded in 2000 that focuses on investing in local founders across various sectors. The firm specializes in seed-to-growth stage investments, targeting industries such as Consumer/New Retail, Social/Digital & Internet, Enterprise/Cloud, and Frontier Tech. GGV Capital manages a total of $6.2 billion across 13 funds and has a diversified portfolio that includes notable companies like Airbnb, Alibaba, and Peloton. With offices in key locations such as Beijing, San Francisco, and Shanghai, GGV Capital aims to provide expansion capital ranging from $5 to $25 million for initial investments in both the United States and China. The firm's approach is to support innovative entrepreneurs and emerging technologies that can shape the future of their respective industries.
8 Century Avenue, Pudong District, Unit 3501, Shanghai, China 200120, China / Unit 3501, Two IFC 8 Century Avenue, Pudong District , Shanghai 200120 , China
Jixun Foo
Global Managing Partner
Jenny Lee
Managing Partner
Haojun Li
Partner
Joshua Wu
Partner
Eric Xu
Managing Partner
Past deals in Machine Learning
StellarRover
Seed Round in 2023
StellarRover is working on creating an AI assistant that might perhaps comprehend human language better in order to assist users in financial and photo-editing software like a genuine human would.
FEDML Nexus AI® (https://nexus.fedml.ai) is a next-generation cloud platform that enables developers and enterprises to easily, economically, and securely build, deploy, and monetize their large language models (LLMs) and other generative AI models. It provides holistic support with a large-scale distributed GPU cloud (multi-cloud and multi-provider), high-performance ML libraries, user-friendly AIOps, and LLM and AI Agent studios.
ZMO.ai specializes in AI image generation, offering tools that enable fashion brands to create high-quality model images efficiently. By leveraging advanced artificial intelligence and neural networks, the company facilitates the generation of visually appealing content, including realistic photos and artistic designs, from simple text or image inputs. This innovative approach helps brands reduce production time and costs while enhancing diversity in their visual marketing. ZMO.ai aims to streamline the creative process for fashion and other industries that require compelling visual art.
OmniML is a San Jose-based enterprise focused on advancing edge artificial intelligence (AI) by developing machine learning models tailored for specific hardware. The company specializes in creating compact and efficient neural architectures that enhance the performance of AI applications on edge devices. By optimizing these models for mobile environments, OmniML allows clients to achieve significant improvements in speed and accuracy, with machine learning tasks reportedly running ten times faster than traditional methods. Its initial collaborations with major enterprises across various sectors have demonstrated substantial gains in model performance and cost reduction, making OmniML a key player in the evolution of edge AI technology.
FEDML Nexus AI® (https://nexus.fedml.ai) is a next-generation cloud platform that enables developers and enterprises to easily, economically, and securely build, deploy, and monetize their large language models (LLMs) and other generative AI models. It provides holistic support with a large-scale distributed GPU cloud (multi-cloud and multi-provider), high-performance ML libraries, user-friendly AIOps, and LLM and AI Agent studios.
Pecan is an AI-based predictive analytics platform that streamlines the creation and deployment of predictive models for various business applications, including customer lifetime value, churn prediction, and market segmentation. Founded in 2016 and headquartered in Tel Aviv, Israel, Pecan eliminates the need for data preparation or engineering by directly connecting to raw data. The platform features a low-code interface and pre-built models that automate the predictive process, allowing organizations to generate and implement AI models within days, without requiring data science expertise. This comprehensive approach enables businesses to make informed decisions by predicting future outcomes and identifying actionable insights efficiently.
Jina AI, founded in 2020 and based in Beijing, China, specializes in cloud-native neural search solutions. The company offers an open-source deep learning-powered search framework designed for enterprises and developers to efficiently manage and search through vast amounts of diverse data, including text, images, and videos. Jina AI aims to empower users to create customized neural search platforms that can swiftly and accurately retrieve valuable information from large datasets. By promoting an inclusive and open-source approach, Jina AI enables developers globally to address unique industry challenges and enhances the overall efficiency of information retrieval. The company's mission emphasizes the importance of making search technology accessible and effective, fostering innovation and productivity across various sectors.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Developer of a deep learning and intelligent technology designed to facilitate decision-making process. The company uses deep learning and computing technologies to establish a deep reinforcement learning algorithm platform and promote decision-making process, enabling clients to improve efficiency.
Xiaoice is an AI company that develops a chatbot that acts as a digital assistant with the capability to understand human conversations. Xiaoice allows cross-platform interactions, enabling users to enjoy the convenience of artificial intelligence. Xiaoice is designed as a teenage girl and is touted as an empathic computing framework focusing on longer back-and-forth conversations with humans instead of simply answering questions or obeying commands like most bots. Its technology covers natural language processing, computer voice, computer vision, and AI content generation.
Mathpresso, Inc. is an educational technology company based in Seoul, South Korea, established in 2015. It operates Qanda, a data-driven platform that leverages artificial intelligence and optical character recognition (OCR) technology to assist students with their studies. Users can take a photo of a question or problem, which the platform then analyzes to provide solutions and explanations. Qanda covers a wide range of subjects, including mathematics, Korean history, social studies, and science. The platform is designed to facilitate learning by allowing students to engage with tutors and access answers in real time. As of this year, Qanda has attracted over one million users in South Korea, making it a significant resource for students seeking help with homework and exam preparation.
Pecan is an AI-based predictive analytics platform that streamlines the creation and deployment of predictive models for various business applications, including customer lifetime value, churn prediction, and market segmentation. Founded in 2016 and headquartered in Tel Aviv, Israel, Pecan eliminates the need for data preparation or engineering by directly connecting to raw data. The platform features a low-code interface and pre-built models that automate the predictive process, allowing organizations to generate and implement AI models within days, without requiring data science expertise. This comprehensive approach enables businesses to make informed decisions by predicting future outcomes and identifying actionable insights efficiently.
Streamlit, Inc. is a company that provides an open-source application framework designed for machine learning engineers and data scientists. Founded in 2018 and based in San Francisco, California, Streamlit enables users to create custom applications quickly, allowing them to focus on machine learning rather than frontend development. The framework allows for the rapid development and deployment of data applications, facilitating efficient interaction with data models. Streamlit's tools aim to streamline the process of building and deploying machine learning tools, thereby enhancing productivity for data teams.
Shelf Engine is a provider of an automated prediction engine that recommends what to order everyday. The company uses machine learning in order to help grocery stores dial in their orders to minimize waste and maximize profits. Shelf Engine is headquartered in Seattle, Washington, United States.
Jina AI, founded in 2020 and based in Beijing, China, specializes in cloud-native neural search solutions. The company offers an open-source deep learning-powered search framework designed for enterprises and developers to efficiently manage and search through vast amounts of diverse data, including text, images, and videos. Jina AI aims to empower users to create customized neural search platforms that can swiftly and accurately retrieve valuable information from large datasets. By promoting an inclusive and open-source approach, Jina AI enables developers globally to address unique industry challenges and enhances the overall efficiency of information retrieval. The company's mission emphasizes the importance of making search technology accessible and effective, fostering innovation and productivity across various sectors.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Shelf Engine is a provider of an automated prediction engine that recommends what to order everyday. The company uses machine learning in order to help grocery stores dial in their orders to minimize waste and maximize profits. Shelf Engine is headquartered in Seattle, Washington, United States.
Mobalytics is an eSports company focused on enhancing the performance of competitive gamers through advanced analytics. The company has developed a platform that utilizes in-game data from various gaming APIs, processed via machine learning algorithms, to deliver personalized insights to players. This system, known as the Gamer Performance Index (GPI), provides users with tailored advice on improving their gameplay, while also helping them identify their strengths and weaknesses. By offering these analytical tools, Mobalytics aims to create a more effective way for gamers to analyze their performance and elevate their skills in competitive environments.
Streamlit, Inc. is a company that provides an open-source application framework designed for machine learning engineers and data scientists. Founded in 2018 and based in San Francisco, California, Streamlit enables users to create custom applications quickly, allowing them to focus on machine learning rather than frontend development. The framework allows for the rapid development and deployment of data applications, facilitating efficient interaction with data models. Streamlit's tools aim to streamline the process of building and deploying machine learning tools, thereby enhancing productivity for data teams.
Drive.ai is a Silicon Valley startup founded by former lab mates out of Stanford University’s Artificial Intelligence Lab. They are creating AI software for autonomous vehicles using deep learning, which they believe is the key to the future of transportation. They founded Drive.ai because they believe that this technology has the potential to save lives and transform industries, and they think this is the right team to do it.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Rasa Technologies GmbH, founded in 2016 and based in Berlin, Germany, specializes in developing machine learning tools for creating conversational software, including chatbots and virtual assistants. The company offers a suite of products, notably Rasa Open Source, a widely adopted framework for building text- and voice-based AI assistants, and Rasa X, a toolset designed to enhance and share these assistants. Rasa Enterprise provides an enterprise-grade solution for developing contextual assistants at scale. Rasa's platform is utilized across various industries, including healthcare, insurance, banking, telecommunications, and travel, focusing on applications such as lead generation, internal process automation, and customer service. The company is known for its commitment to data privacy and security, catering to both startups and large enterprises.
Zhuiyi Technology is an artificial intelligence company based in Shenzhen, China, specializing in deep learning and natural language processing. The firm develops AI solutions, including a chatbot named YiBot, designed to facilitate interactions between humans and enterprises. Its offerings encompass AI services for semantics, speech, and vision, enabling businesses to enhance customer service, conduct big data analysis, and deliver personalized services. Zhuiyi Technology's AI digital employee intelligence platform can be tailored for various business scenarios, supporting corporate and government functions in marketing, operations, and office tasks. The company serves a diverse range of industries, including finance, Internet, tourism, retail, real estate, and education, positioning itself as a key player in the field of enterprise intelligent services.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Lambda Inc., operating as Lambda School, specializes in online education focused on coding and computer science in the United States. Founded in 2016 and based in San Francisco, the institution offers training in various fields, including software engineering, artificial intelligence, machine learning, and web development. Students engage in both online and live training sessions that feature hands-on projects, pair programming, and code reviews conducted by instructors. Lambda School aims to identify and cultivate untapped talent for in-demand jobs, pioneering a unique educational model where the institution invests in students' futures rather than requiring upfront tuition payments.
People.ai is an artificial intelligence platform based in San Francisco, California, designed to enhance revenue operations for enterprise teams. The platform automates processes related to sales, marketing, and customer success, enabling organizations to identify and capitalize on revenue opportunities. By capturing comprehensive data on customer contacts, activities, and engagements, People.ai provides actionable insights that help sales leaders manage their teams effectively and drive revenue growth. The platform offers tools for personalized coaching, sales performance analytics, and pipeline reviews, allowing users to visualize interactions with potential buyers and assess the success of marketing campaigns. Customer success teams utilize People.ai to ensure effective engagement with clients post-sale, aligning their efforts with the right opportunities and tracking the costs associated with customer support. Overall, People.ai aims to transform business activities by leveraging AI technology to deliver insights that foster predictable growth and improved sales productivity.
Blaize, Inc., founded in 2010 and based in El Dorado Hills, California, specializes in artificial intelligence-enabled edge computing solutions. The company provides a customizable and programmable processor architecture suite, along with a software development platform, aimed at transforming the landscape of AI technology. Through its semiconductor and software offerings, Blaize focuses on delivering innovative solutions tailored to meet the unique demands of various industries.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Momenta is an autonomous driving startup operating out of Beijing. Its deep-learning based software in perception, HD semantic mapping, and data-driven path planning enables the realization of full autonomy. Momenta offers multi-level autonomous driving solutions as well as big data products and services. Momenta’s team is composed of some of the world’s top experts in computer vision and deep learning, including one of the authors of Faster R-CNN and ResNet, the most popular deep learning network, as well as winners of ImageNet 2015, MS COCO Challenge 2015, and ImageNet 2017. Momenta is leading the autonomous driving software space with advanced technical competence and a strong commitment to innovation.
Zhuiyi Technology is an artificial intelligence company based in Shenzhen, China, specializing in deep learning and natural language processing. The firm develops AI solutions, including a chatbot named YiBot, designed to facilitate interactions between humans and enterprises. Its offerings encompass AI services for semantics, speech, and vision, enabling businesses to enhance customer service, conduct big data analysis, and deliver personalized services. Zhuiyi Technology's AI digital employee intelligence platform can be tailored for various business scenarios, supporting corporate and government functions in marketing, operations, and office tasks. The company serves a diverse range of industries, including finance, Internet, tourism, retail, real estate, and education, positioning itself as a key player in the field of enterprise intelligent services.
Momenta is an autonomous driving startup operating out of Beijing. Its deep-learning based software in perception, HD semantic mapping, and data-driven path planning enables the realization of full autonomy. Momenta offers multi-level autonomous driving solutions as well as big data products and services. Momenta’s team is composed of some of the world’s top experts in computer vision and deep learning, including one of the authors of Faster R-CNN and ResNet, the most popular deep learning network, as well as winners of ImageNet 2015, MS COCO Challenge 2015, and ImageNet 2017. Momenta is leading the autonomous driving software space with advanced technical competence and a strong commitment to innovation.
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.
Shanghai Liulishuo Information Technology Co., Ltd. is an educational technology company established in 2012, specializing in language learning applications that leverage artificial intelligence and speech recognition technologies. Founded by Dr. Wang Wei, Dr. Hu Zhe, and Dr. Lin Hui, the company has developed an AI-driven English teacher capable of offering personalized and adaptive learning experiences. Liulishuo serves approximately 50 million learners across 379 cities in China and more than 175 countries globally. The company's innovative approach to language education focuses on tailoring courses to meet the individual needs of users, enhancing their learning journeys through advanced deep learning techniques. With its headquarters in Shanghai and an additional location in San Mateo, California, Liulishuo continues to expand its impact in the field of language learning.
Drive.ai is a Silicon Valley startup founded by former lab mates out of Stanford University’s Artificial Intelligence Lab. They are creating AI software for autonomous vehicles using deep learning, which they believe is the key to the future of transportation. They founded Drive.ai because they believe that this technology has the potential to save lives and transform industries, and they think this is the right team to do it.
Moka is a SaaS software that helps companies optimize their recruiting services and find the right talent for their business. MokaHR is designed to summarize and analyze the resume information characteristics of a large number of job seekers using resume analysis techniques and machine learning algorithms. Through the local semantic analysis and pattern matching of important information in resumes, MokaHR learns a large number of enterprises' recruitment behavior data and conducts big data Statistics and analysis, so as to help enterprises to better understand the industry trends, to better identify the right candidates, and hiring key points to give guidance, to bring more accurate data analysis, the formation of data network effects.
Mobalytics is an eSports company focused on enhancing the performance of competitive gamers through advanced analytics. The company has developed a platform that utilizes in-game data from various gaming APIs, processed via machine learning algorithms, to deliver personalized insights to players. This system, known as the Gamer Performance Index (GPI), provides users with tailored advice on improving their gameplay, while also helping them identify their strengths and weaknesses. By offering these analytical tools, Mobalytics aims to create a more effective way for gamers to analyze their performance and elevate their skills in competitive environments.
Shanghai Liulishuo Information Technology Co., Ltd. is an educational technology company established in 2012, specializing in language learning applications that leverage artificial intelligence and speech recognition technologies. Founded by Dr. Wang Wei, Dr. Hu Zhe, and Dr. Lin Hui, the company has developed an AI-driven English teacher capable of offering personalized and adaptive learning experiences. Liulishuo serves approximately 50 million learners across 379 cities in China and more than 175 countries globally. The company's innovative approach to language education focuses on tailoring courses to meet the individual needs of users, enhancing their learning journeys through advanced deep learning techniques. With its headquarters in Shanghai and an additional location in San Mateo, California, Liulishuo continues to expand its impact in the field of language learning.
Shanghai Liulishuo Information Technology Co., Ltd. is an educational technology company established in 2012, specializing in language learning applications that leverage artificial intelligence and speech recognition technologies. Founded by Dr. Wang Wei, Dr. Hu Zhe, and Dr. Lin Hui, the company has developed an AI-driven English teacher capable of offering personalized and adaptive learning experiences. Liulishuo serves approximately 50 million learners across 379 cities in China and more than 175 countries globally. The company's innovative approach to language education focuses on tailoring courses to meet the individual needs of users, enhancing their learning journeys through advanced deep learning techniques. With its headquarters in Shanghai and an additional location in San Mateo, California, Liulishuo continues to expand its impact in the field of language learning.
Shanghai Liulishuo Information Technology Co., Ltd. is an educational technology company established in 2012, specializing in language learning applications that leverage artificial intelligence and speech recognition technologies. Founded by Dr. Wang Wei, Dr. Hu Zhe, and Dr. Lin Hui, the company has developed an AI-driven English teacher capable of offering personalized and adaptive learning experiences. Liulishuo serves approximately 50 million learners across 379 cities in China and more than 175 countries globally. The company's innovative approach to language education focuses on tailoring courses to meet the individual needs of users, enhancing their learning journeys through advanced deep learning techniques. With its headquarters in Shanghai and an additional location in San Mateo, California, Liulishuo continues to expand its impact in the field of language learning.
Shanghai Liulishuo Information Technology Co., Ltd. is an educational technology company established in 2012, specializing in language learning applications that leverage artificial intelligence and speech recognition technologies. Founded by Dr. Wang Wei, Dr. Hu Zhe, and Dr. Lin Hui, the company has developed an AI-driven English teacher capable of offering personalized and adaptive learning experiences. Liulishuo serves approximately 50 million learners across 379 cities in China and more than 175 countries globally. The company's innovative approach to language education focuses on tailoring courses to meet the individual needs of users, enhancing their learning journeys through advanced deep learning techniques. With its headquarters in Shanghai and an additional location in San Mateo, California, Liulishuo continues to expand its impact in the field of language learning.
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