Keen Data Lakehouse
Data Governance
Quickly organize data assets, unify data standards, and improve data quality.
Core Capabilities
Enterprise-Grade Compound Al systems
Delivers enterprise-level Compound AI Systems that cover the entire lifecycle—from model building, deployment, and evaluation to governance, release, and application;
From General AI to Business Intelligence
Our integrated Data & AI infrastructure enables enterprises to move beyond generic AI to applied business intelligence. By deeply understanding enterprise-specific data, we turn general intelligence into actionable data intelligence—delivering true business value;
Data & AI Engineering, Tool-Enabled
The data foundation provides high-performance complex data processing, unified formats and metadata, a multi-modal data engine, and high-quality datasets. Tool-enabled data engineering cuts training data preparation time by 80%;
Data Governance for AI
Deep integration of data engineering and governance establishes a full-chain system for high-standard data quality, security, and compliance—ensuring end-to-end governance from model development to AI implementation;
Fully Intelligent Full-Stack Features
The platform is comprehensively upgraded with smart features for ease of use, including a proprietary NL2SQL model, natural language interaction, intelligent query development, accurate multi-modal search, smart O&M, and a data knowledge base—more than doubling processing efficiency;
Autonomous Agent Factory
Our Autonomous Agent Factory enables rapid development of Agents and RAG applications, along with serving capabilities for fast deployment. Backed by 150+ patents in data and AI technologies, we help enterprises build sustainable AI-driven business capabilities;
Lakehouse
Storage-Compute Separation
Multi-source multi-modal data convergence and integration, easier flexible scaling; reduces data migration work to ensure data reliability, consistency and real-time performance; supports rich computing engines; better data management capabilities and more efficient query performance.
ACID Transaction
Supports transactions, implements consistency and isolation, and concurrent append and read operations, supports data upload, modification, query and other operations with complete ACID characteristics, enhancing transactional processing capabilities.
Batch-Stream Integration
Adopts higher-performance batch-stream integration technology, supporting one data framework compatible with both offline and real-time computing; can use batch processing to analyze data streams; provides batch and stream processing linkage and conversion, as well as real-time and offline linkage analysis.
Data Fabric
Can dynamically manage different data sources in hybrid cloud and multi-cloud environments, enterprises can quickly establish business-specific data architecture and data services for business scenarios, providing high-quality data to support applications, analytics, and business process automation.
One-stop, Full Process
Provides one-stop development experience with unified data resources, unified development process, and unified intelligent scheduling; supports online collaboration and development of large-scale projects across different users, teams, and projects.
DataOps
Features integrated data operations, implementing DataOps best practices through automated AI big data technology engineering capabilities for continuous integration, continuous development, and continuous operations of data.
End-to-End, Fully Visualized Product Matrix
Application Scenarios
