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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
Documentation

Make data workflows as easy as conversation

A unified lakehouse platformt 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.

Auto data integration, streaming and batch job orchestration

This product delivers an end-to-end intelligent data platform, covering the full lifecycle from data ingestion, data govenance to BI and data service. It enables interactive analysis of 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 operational efficiency and application delivery.

Industry Cases

Enterprise data intelligence practice based on real-time lakehouse + AI

Tea Beverage RetailSupply ChainReal-time Lakehouse

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

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

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

Technical Architecture

  • Flink streaming + batch unified real-time access to 10+ business systems (SQL Server, MySQL, etc.)
  • Lakehouse architecture unified data model (ODS / DW / ADS layers)
  • Build 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: minutes-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 original T+1 data warehouse to real-time data warehouse architecture
  • Build unified data service platform based on 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 processing
  • Improve self-service analytics and data usage efficiency
  • Reduce data development dependency and improve delivery speed
  • Lay data foundation for future AI applications and intelligent analytics
T+1 → Real-timeData as a ServiceImproved analytics efficiency
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TransportationMetric SystemAI + BI

Transportation Group Lakehouse Integrated Data Platform Project

Unified metricsBI automationAI query

Transportation Group Lakehouse Integrated Data Platform Project

Technical Architecture

  • Build unified data aggregation and governance system
  • Establish standardized metric system (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 processing of multi-source marketing and transaction data
  • Build refined user profiling and behavioral segmentation system
  • Feature engineering and machine learning model training system

Business Value

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