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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Kaelio
Kaelio

Kaelio

Founded by Luca Martial in 2024

Teach AI data agents how to query your data warehouse accurately

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use ktx to give AI coding agents and data assistants the business context needed to query data warehouses accurately. It inspects your databases, dbt models, and documentation to map metric definitions, join relationships, and business logic stored as plain YAML and Markdown files in git. Agents connect through MCP or the command line to check definitions, resolve join traps, and compile reliable read-only SQL queries. Your team can review proposed context updates via standard code reviews before deploying them into production.

What Kaelio does

Install the ktx CLI locally using npmConnect data warehouses like Snowflake, PostgreSQL, or BigQueryIngest dbt models and semantic metrics into local configuration filesConfigure MCP server endpoints for coding agents like Claude Code or CursorCompile governed SQL queries based on business definitionsReview and merge proposed semantic layer edits in git pull requestsSearch documentation wiki pages for table caveats and business definitionsGenerates reviewable semantic YAML and Markdown documentation in gitDetects joinable columns and resolves chasm and fan traps automaticallyProvides Model Context Protocol (MCP) server and CLI for AI agentsIngests models and metrics from dbt, LookML, and documentation sourcesCompiles governed read-only SQL queries for connected agentsRuns entirely on local infrastructure with private API keysContinuously updates business definitions from agent interactions

Pricing breakdown

Pricing model: Book a demo

Frequently asked

SnowflakeSnowflakeBigQueryBigQueryPostgreSQLPostgreSQLClickHouseClickHouseDatabricksDatabricksRedshiftRedshiftdbtdbtLookerLookerMetabaseMetabaseNotionNotionGoogle DriveGoogle DriveCursorCursor

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ktx, Kaelio, data agents, semantic layer, Model Context Protocol, MCP server, SQL query engine, data warehouse context, dbt, Snowflake, BigQuery, data governance, business definitions, Claude Code, Cursor, join resolution