Yueshu Technology

About Yueshu Technology

Yueshu Technology, formally known as Hangzhou Yueshu Technology Co., Ltd., is a specialized developer of graph database technology, founded in August 2018 by Sherman Ye (Ye Xiaomeng). Ye, who serves as both CEO and CTO, brings extensive experience to the company, having previously led the graph computing and storage technology team at Ant Group and worked at Facebook. His background in developing and deploying large-scale graph databases at these tech giants directly informed the creation of Yueshu's core offering.

The company's flagship product is NebulaGraph, an open-source, distributed graph database designed to handle web-scale data, capable of managing graphs with hundreds of billions of vertices and trillions of edges with millisecond query latency. The project was initiated in late 2018 and became open-source under the Apache 2.0 license in May 2019. NebulaGraph's architecture is built on a shared-nothing and storage-computing separation design, which allows for independent scaling of computing and storage resources to meet varying business demands.

Yueshu Technology's business model centers on providing commercial-grade products and services built upon the open-source NebulaGraph. This includes an enterprise edition, "Yueshu Graph Database," which offers enhanced features for security, stability, and disaster recovery, alongside professional technical support and maintenance. The company also offers cloud services on platforms like AWS and Azure, operating on a pay-as-you-go basis, and a suite of tools including Yueshu Studio for visual graph exploration and a monitoring dashboard for cluster management. More recently, the company has expanded into the AI space by developing Graph RAG (Retrieval-Augmented Generation), a technology that combines knowledge graphs with large language models to deliver more accurate and context-aware responses.

The firm caters to enterprise clients across various sectors such as finance, internet, and telecommunications. Its technology is applied in complex scenarios including financial risk control, fraud detection, real-time recommendation engines, knowledge graphs, and supply chain management. The company has successfully secured multiple funding rounds, including a significant Series A in September 2022 led by Jeneration Capital with participation from existing investors.