Kaelio
The open-source context layer for data agents
Kaelio builds ktx, an open-source context layer that solves the problem of AI data agents producing unreliable or inconsistent answers when querying data warehouses directly. Without business context, agents guess table meanings, invent metric logic, and generate incorrect SQL. ktx provides agents with approved metric definitions, joinable columns, warehouse metadata, and business knowledge so they answer from governed context rather than raw schema names.
The product includes three offerings. The open-source ktx engine compiles a context layer from sources like Snowflake, dbt, Looker, and Notion into reviewable YAML and Markdown files stored in git, with a CLI and MCP server for agent access. ktx Cloud is a hosted version adding multi-user workspaces, review and approval workflows, SSO, continuous ingest, and observability. The Data Agent is a managed agent grounded in the context layer, accessible via Slack, web, and email. Integrations span warehouses, BI tools, modeling code, and business applications.
ktx is built for data teams who want governed, consistent answers from AI agents. The open-source engine is free under Apache 2.0, runs locally with the user's own LLM keys, and has no usage limits. ktx Cloud is a hosted team edition with included LLM credits, and the Data Agent is a managed service. All offerings are seat-based or usage-based, with exact pricing available on request.
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