# Kaelio: governed context for data agents

Canonical: https://thelazyweb.com/companies/kaelio/
Breadcrumb: [Home](https://thelazyweb.com/) / [Companies](https://thelazyweb.com/companies/) / [Kaelio: governed context for data agents](https://thelazyweb.com/companies/kaelio/)
Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-20. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

Kaelio builds ktx, an open-source context layer for data agents. It ingests warehouse metadata, BI definitions, modeling code, query history and business documentation, then turns that evidence into reviewable Markdown knowledge and executable YAML metric definitions. Agents can ask ktx for a metric, let it resolve grain and joins, and receive compiled read-only SQL instead of guessing from table names. The [YC profile](https://www.ycombinator.com/companies/kaelio) and [homepage](https://www.kaelio.com/) describe the problem as reliable data-agent context.

The fit is an analytics team that has already seen plausible SQL produce the wrong number. Kaelio is not another dashboard or a replacement for dbt. It is a context and semantic layer intended to make agent queries governed, explainable and repeatable.

## Why I’d look closer

The technical boundary is unusually legible. ktx keeps definitions and caveats in files that can be reviewed and merged through git, while the query engine handles joins, grain, filters

[Kaelio: governed context for data agents](<https://www.thelazyweb.com/companies/kaelio/>)

Source observed: 2026-09-20T02:21:49.242Z. Last checked: 2026-10-08T02:02:39.486+00:00.

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