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LakeInsight

AI Agent

An all-in-one lakehouse platform that unifies multi-source heterogeneous data ingestion, streaming processing, analytics, and AI applications

AI NativeUnified Lakehouse Development Environment
Agentic AIAutomated data ingestion, task orchestration and debugging
Unified storage of structured and unstructured data for AIVector search applications

Make data workflows as easy as a conversation

A unified lakehouse platform for multimodal data

Supports unified ingestion and analysis of text, images, audio, and video data. No need to switch tools—data cleaning, feature extraction, and model training can all be done seamlessly, allowing complex data to be composed like modular building blocks.

Automated data integration and unified streaming & batch job orchestration

This product delivers an end-to-end intelligent data platform covering the full lifecycle from data ingestion and governance to BI and data services. It enables interactive analysis across multiple data sources and lakehouse data, and supports automated creation of data ingestion and export workflows. The platform provides real-time task monitoring with structured log parsing, and integrates natural language–driven SQL generation to streamline the end-to-end process of analysis, review, publishing, and deployment, significantly improving data engineering efficiency and application delivery.

Industry Cases

Enterprise data intelligence in practice: real-time lakehouse + AI

Tea Beverage RetailSupply ChainReal-time Lakehouse

Leading Tea Beverage Chain Brand Supply Chain Real-time Lakehouse Platform

Data latency: minute-levelSystem integration: 10+Inventory optimization capability ↑

Leading Tea Beverage Chain Brand Supply Chain Real-time Lakehouse Platform

Technical Architecture

  • Unified Flink streaming and batch ingestion from 10+ business systems (SQL Server, MySQL, etc.)
  • Unified data model on the lakehouse architecture (ODS / DW / ADS layers)
  • Multi-dimensional supply chain data model (store / warehouse / material)
  • AI-driven inventory forecasting and intelligent replenishment optimization

Business Value

  • Achieve end-to-end real-time supply chain (minute-level data synchronization)
  • Significantly reduce manual reporting and cross-system reconciliation costs
  • Improve inventory turnover efficiency and supply chain responsiveness
  • Promote supply chain evolution from experience-driven → data-intelligence-driven
Data latency: minute-levelSystem integration: 10+Inventory optimization capability ↑
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AviationReal-time Data WarehouseData Platform

Large Airline Group Real-time Lakehouse Platform Project

T+1 → Real-timeData as a ServiceImproved analytics efficiency

Large Airline Group Real-time Lakehouse Platform Project

Technical Architecture

  • Upgrade the legacy T+1 data warehouse to a real-time data warehouse architecture
  • Build a unified data service platform on the lakehouse
  • Enable self-service data access and data-as-a-service capabilities
  • Connect multiple business systems for real-time data synchronization

Business Value

  • Upgrade data timeliness from T+1 to real-time
  • Improve self-service analytics and data usage efficiency
  • Reduce dependency on data engineering and accelerate delivery
  • Lay data foundation for future AI applications and intelligent analytics
T+1 → Real-timeData as a ServiceImproved analytics efficiency
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TransportationMetrics SystemAI + BI

Transportation Group Lakehouse Integrated Data Platform Project

Unified metricsBI automationAI query

Transportation Group Lakehouse Integrated Data Platform Project

Technical Architecture

  • Build a unified data aggregation and governance system
  • Establish a standardized metrics system with unified definitions and semantics
  • Automated BI report generation and scheduling system
  • Support natural language query (AI-driven data analytics)

Business Value

  • Achieve cross-system unified data governance and standardization
  • Improve business analytics and report automation capabilities
  • Reduce manual reporting development and maintenance costs
  • Enhance AI-driven data analytics capabilities
Unified metricsBI automationAI query
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FinanceRisk ControlUser Profiling

Internet Finance Company Real-time Intelligent Data Platform

Improved risk control capabilityUser segmentationRevenue growth

Internet Finance Company Real-time Intelligent Data Platform

Technical Architecture

  • Real-time fusion of multi-source marketing and transaction data
  • Build refined user profiles and behavioral segmentation
  • Feature engineering and machine learning model training

Business Value

  • Improve risk identification capability and accuracy
  • Optimize user conversion and credit decision strategies
  • Enable user segmentation and precision operations
  • Significantly improve overall business revenue and efficiency
Improved risk control capabilityUser segmentationRevenue growth
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