LakeMind
Natural-language analytics over governed lakehouse systems.
Overview
What is LakeMind?
LakeMind is an AI-powered data analyst that connects directly to your company's data lake. Instead of writing complex SQL queries or waiting for engineering teams to build dashboards, you simply ask questions in plain English.
Who is it for?
It bridges the gap between Business and Engineering. Business users (executives, product managers, marketers) use it to get instant answers. Data engineering teams use it to ensure those answers are accurate, secure, and governed without becoming a bottleneck.
How do you use it?
You log in, select a data source, and type a question like "What was our revenue growth last quarter by region?" LakeMind's AI agents automatically translate your question into code, execute it securely, and return a clear chart and written summary.
How it works
- 1Planner
Reads intent, picks the right semantic profile
- 2Context
2-stage RAG enriches with business knowledge
- 3Text-to-SQL
Generates and runs read-only SQL on Trino
- 4Chart
Recommends the visualization that fits
- 5Reviewer
Validates quality before it reaches you
Data Journey
The core product surfaces spanning the entire data lifecycle.
Ingest
— Connect & sync sourcesConnections
Connect a source database and sync its tables into the lakehouse via CDC.
Prepare
— Catalog, build & scheduleCatalog
Browse synced tables and define the semantic profiles that ground answers.
Studio
Notebooks for data prep and ETL, provisioned and ready to run.
Jobs
Schedule recurring ETL runs and watch their logs stream live.
Analyze
— Ask, query & visualizeAnalyst
Ask in natural language and get SQL, a chart, and a written answer.
SQL Editor
Write and run Trino SQL against your governed lakehouse.
Dashboards
Pin charts into a live, draggable grid you can revisit anytime.
Trust
— Evaluate answer qualityBenchmarks
Score answer quality across a question set and track pass rate over time.
Built on a governed platform
Governed lakehouse
Open table format with a single query engine over object storage.
Multi-agent AI
A LangGraph pipeline grounded by 2-stage RAG over your semantics.
Enterprise security
SSO identity and per-query authorization decided by policy, not the AI.