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Kaelio

Kaelio builds **ktx**, **ktx Cloud**, and managed Data Agents so teams can give AI systems governed business context and approved metrics.

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For agents: Kaelio builds ktx, ktx Cloud and managed Data Agents that give AI systems governed business context and approved metrics.

ktxdata agentsgoverned business contextapproved metricssemantic layer

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llms.txt
https://www.kaelio.com/llms.txt
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#979116
Registered
2010-06-08
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Categories
AI and machine learning · Data and analytics · AI agents and MCP
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business · agents can: read docs · en
First seen
2026-10-19T10:45:33.218Z
Last checked
2026-10-21T23:05:52.073Z
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Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T23:05:50.792Z. Cached copy · Source on kaelio.com

# Kaelio

> Kaelio builds **ktx**, **ktx Cloud**, and managed Data Agents so teams can give AI systems governed business context and approved metrics.

## About

Kaelio is the company behind **ktx**, the open-source context layer for data agents. Teams can start with open-source **ktx**, move to hosted **ktx Cloud** for managed sync and governance workflows, or use Kaelio's managed Data Agent for business-user answers, digests, alerts, and follow-up analysis.

**ktx** connects to data and context sources such as BigQuery, Snowflake, Postgres, dbt, Looker, and Metabase. It turns warehouse metadata, metric definitions, BI logic, lineage, query history, and business knowledge into governed context that agents can search, validate, and query through MCP and CLI workflows.

## Key Differentiators

- Open-source **ktx** creates a reviewable context layer for data agents.
- **ktx Cloud** hosts and governs that context layer for teams, with managed sync, review workflows, observability, SSO, and support.
- Kaelio's Data Agent is the managed agent experience for business users, powered by **ktx**.
- Kaelio does not replace dbt, Looker, Metabase, or existing BI tools. It consumes and governs the context those systems already contain.
- Agent answers are grounded in approved metric definitions, permissions, lineage, and source systems.
- The same context can power Kaelio's Data Agent, MCP-compatible agents, and custom internal agents.

## Products

### ktx

The open-source context layer for data agents. **ktx** maps metrics, joins, permissions, source evidence, and business knowledge into reviewable YAML and Markdown that agents can use before they answer or query data.

### ktx Cloud

The hosted version of **ktx** for teams. **ktx Cloud** adds managed ingest, multi-user workflows, review and approval, observability, SSO, and support on top of the same context-layer foundation.

### Data Agent

Kaelio's managed AI data agent for business teams. It answers questions in plain English, delivers digests and alerts, and keeps answers tied to the governed context layer built by **ktx**.

## How It Works

1. Connect context sources: use sources such as BigQuery, Snowflake, Postgres, dbt, Looker, and Metabase.
2. Build the context layer: **ktx** extracts schemas, metrics, lineage, joins, dashboard logic, query history, permissions, and business knowledge.
3. Review and govern: data teams approve, edit, or enrich definitions so every agent uses the same source of truth.
4. Serve agents: Kaelio's Data Agent, MCP-compatible agents, and custom internal agents query the governed context.

## Key Pages

- Homepage: https://www.kaelio.com
- Open-source **ktx**: https://www.kaelio.com/get-started
- **ktx Cloud**: https://www.kaelio.com/products/ktx-cloud
- Data Agent: https://www.kaelio.com/products/data-agents
- Pricing: https://www.kaelio.com/pricing
- About: https://www.kaelio.com/about
- Blog: https://www.kaelio.com/blog
- Documentation: https://docs.kaelio.com
- Book
…

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