Matrix origin Headquarters & Office Locations

Matrix origin (Private) is headquartered in Shanghai, Shanghai, People's Republic of China. Founded in 2021, the company operates across 2 countries with approximately 75 employees worldwide.

Where is Matrix origin's main office?

Matrix origin's main headquarters office is located at Shanghai, Shanghai, CHN, Shanghai, Shanghai . This serves as the company's primary corporate address and is home to its executive leadership team.

Matrix origin regional offices

Beyond its headquarters in Shanghai, Matrix origin maintains 2 offices across 2 countries. Regional offices span 2 countries.

Matrix origin contact information

The main switchboard for Matrix origin headquarters can be reached at —. For investor relations, visit matrixorigin.io/investor-relations.

What does Matrix origin do?

Matrix Origin is a pioneer in AI-native multi-modal data intelligence platforms, focusing on big data and AI technologies and services. It is dedicated to building a simple yet powerful data intelligence operating system for the digital world, helping enterprises ride the AI revolutions. Matrix Origin’s flagship product, MatrixOne Intelligence, is an enterprise-ready AI-native multi-modal data intelligence platform with cutting-edge technologies. MatrixOne Intelligence leverages AI technologies, including LLMs, and an innovative hyper-converged data foundation to help enterprises unify the management and governance of structured, semi-structured, and unstructured multimodal data. It transforms first-party data into AI-ready assets, delivering agile, reliable, and high-quality data intelligence services for both traditional applications and large-model AI deployments. The product is composed of several configurable submodules: MatrixOne Multi-modal Hyper-Converged Database: Using a compute-storage separation, read-write separation, and hot-cold separation architecture, the platform supports multiple workloads—such as online transaction processing, analytics, AI, and time-series—within a unified storage and computing system. It can scale up or down in real time, ensures resource isolation through multi-tenancy, and allows enterprises to run diverse workloads efficiently on a single platform, reducing complexity and operational costs. MatrixGenesis LLM Service Platform: Through open APIs, it offers efficient large model training, inference, evaluation, and related dataset services. It reduces model hallucinations, enhances model service capabilities, and shortens the time to AI deployment. MatrixPipeline AI-based Data Pipeline Tool: Working with MatrixOne and MatrixGenesis, it ensures rapid conversion of data into AI-ready assets. It integrates, cleans, governs, labels, and augments data—whether stored in databases, cloud drives, file systems, or other silos—covering formats such as video, audio, text, and tables. This enables secure and reliable acceleration of AI agent and application development. MatrixCopilot General Data Agent Platform: Offers a variety of data agents, including multimodal hybrid search and ChatBI. These agents allow users to search enterprise multimodal data—including videos, audio, files, and databases—and rapidly develop customized agents and AI applications for use cases such as knowledge management, intelligent Q&A, data analysis, and enterprise AI assistants. With its original end-to-end hallucination detection and correction algorithms and hyper-converged architecture, MatrixOne Intelligence ensures high-quality data and models while reducing hardware and operational costs by 70% and improving AI application development efficiency by 3–5 times, enabling enterprises to adapt more flexibly to market changes in the AI era. MatrixOne Intelligence adheres to an open-source and ecosystem co-creation philosophy. All core code is open-sourced, and it is fully compatible with MySQL, S3, HDFS, OpenAI API, MCP, and other open-source protocols and popular APIs. This openness not only reduces migration costs but also attracts dozens of partners to co-develop industry solutions, forming a cross-industry AI ecosystem that provides users with sustainable, evolving AI data infrastructure. This approach fosters long-term innovation and ensures that our ecosystem continues to thrive in the rapidly evolving AI landscape.