AI-Native Multi-Modal Data Intelligence Platform


MatrixOne
Integrates OLTP and OLAP, vector and search, lakehouse architecture, structured and unstructured data—supporting enterprise-grade multi-modal data infrastructure.

MatrixGenesis
Centrally manages diverse types and specifications of AI models, simplifying model introduction and maintenance, driving more agile intelligent application deployment.

MatrixPipeline
Proprietary multi-source data connectors for unified multi-modal data collection and transformation, end-to-end visual orchestration for efficient multi-modal streaming processing.

MatrixCopilot
Accelerate data processing quality and efficiency through AI agents
Connect any data source—structured, semi-structured, or unstructured—through unified connectors.
Seamless integration of historical and incremental data to ensure comprehensive, real-time availability
Extract structured insights from complex layouts with adaptive parsing and vectorization strategies.
Parse images, audio, and video across formats with interchangeable model support.
Pre-built nodes for parsing, cleansing, and augmentation—plus custom operator support.
Configure workflows through intuitive drag-and-drop interfaces for rapid deployment.
Fine-grained management of user, role, function, and data permissions.
Independent workspaces with dedicated storage and compute resources per tenant.



