Kaelio

Kaelio is an AI data platform that auto-builds a governed context layer from your data stack. It enables AI data agents to deliver trusted, sourced answers to every team.

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At a glance

Pricing

Freemium · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Kaelio?

Kaelio is an AI data platform designed to create a governed context layer from an organization's entire data stack. It integrates with warehouses, BI tools, and documentation to automatically generate semantic models, metrics, schema, lineage, and dashboard logic. This context layer empowers AI data agents to provide trusted, sourced answers to business teams, preventing hallucinations and ensuring metric consistency. Kaelio supports integrations with major data tools like Snowflake, BigQuery, dbt, Tableau, and Looker, and offers proactive monitoring and scheduled delivery of insights. It is SOC 2 and HIPAA compliant, ensuring data security and governance.

Best used for

Ideal for data scientists and product managers who need to unify their data stack, prevent AI agent hallucinations, and provide trusted, sourced answers to business teams. Especially valuable for organizations seeking to establish metric governance and enable self-serve analytics without manual definition.

Common actions

govern data context

power AI agents

ensure metric consistency

provide self-serve analytics

Capabilities

Key features

Auto-builds governed context layer
Integrates 900+ data sources
Generates metric definitions
Natural language queries
Proactive monitoring
SOC 2 and HIPAA compliant
Role-based access controls

Target Audience

data scientistproduct manager

Integrations

snowflakebigquerydbttableaulookerdatabricksredshiftpostgresql+ 18 more

Pricing & Plans

Freemium · Enterprise

Not publicly disclosed. Check kaelio.com for current pricing.

FAQs

How does Kaelio differ from traditional semantic layers or data catalogs?

Unlike traditional semantic layers that require manual definition, Kaelio auto-generates a comprehensive context layer including semantic definitions, schema, lineage, dashboard logic, and domain knowledge. Data catalogs organize metadata but don't build a context layer or power data agents, which Kaelio does.

What is the Deep Context Engine and how does it work?

The Deep Context Engine is Kaelio's core technology that auto-builds your context layer. It reads warehouse schemas, BI dashboard logic, metric definitions, lineage, and domain knowledge, then generates structured semantic models. It continuously refines itself by learning from team queries.

How does Kaelio prevent AI agent hallucinations?

Kaelio prevents hallucinations by grounding every agent answer in a governed context layer derived from your data stack. This layer includes governed metric definitions, schema, and lineage, ensuring all answers are sourced and verifiable, unlike agents without structured business context.

Does Kaelio replace dbt or BI tools?

No, Kaelio consumes dbt and BI tools, it doesn't replace them. It ingests dbt models, metric definitions, and BI dashboard logic into its context layer, making your existing investments more valuable by exposing governed metrics to data agents for natural language queries.

How long does it take to set up Kaelio?

Most data teams can get Kaelio up and running in under an hour. You connect your data sources, and Kaelio immediately begins auto-generating your context layer. Business teams can start querying agents the same day after your team reviews and governs the output.

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Data & Analytics › Business Intelligence Customer Support & CX › Customer Success Data & Analytics › Predictive Analytics

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