Kaelio GTM brain

Kaelio provides an open-source context layer and hosted data agents to data teams seeking reliable governed answers.

category

Data agent context infrastructure

market profile

  • text: Warehouse schema access alone leaves agents guessing business definitions and joins.
  • text: Teams can adopt an open-source engine, a hosted governance layer or a managed agent.

personas

  • title: Head of data and analytics
    pains:
    • Different tools and teams define the same metric differently
    • Cannot trust agent answers without provenance and approval
  • title: Analytics engineer
    pains:
    • Manual semantic modeling takes time
    • Join grain and business caveats must be maintained across agents
  • title: AI application engineer
    pains:
    • Raw SQL agents guess from table names
    • Needs a reusable governed interface for multiple agent frameworks

icp

  • text: Data teams at growing organizations with a warehouse, BI and modeling tools already in place.
  • text: Organizations building data agents for business users, especially those requiring review, SSO and audit logs.

message pillars

  • text: Build context from the existing stack, with human review.
  • text: Give agents governed definitions instead of relying on schema guesses.
  • text: Make persistent changes inspectable and version controlled.

objections

  • objection: We already have a semantic layer.
    response: Test how ktx reconciles existing modeling and BI definitions with business context rather than recreating them manually.
  • objection: Will agents have unsafe warehouse access?
    response: Evaluate its read-only query path and your warehouse permissions during a pilot.
  • objection: Who maintains generated definitions?
    response: Data owners review proposed changes as version-controlled diffs.

competitors

  • name: Kyvos
    website: https://en.wikipedia.org/wiki/Kyvos
    why: Semantic layer for governed analytics and AI agents.
  • name: AtScale
    website: https://www.atscale.com/wp-content/uploads/2022/07/2022-07-01-Business-Impact-of-Using-a-Semantic-Layer.pdf
    why: Semantic layer for shared analytics definitions.

keywords

  • data agent context layer
  • AI semantic layer
  • text to SQL accuracy
  • governed metrics for AI
  • warehouse MCP
  • data agent SQL

voice

  • technical and explanatory
  • governance-conscious
  • developer-friendly

signals

  • text: Team is deploying agents over a warehouse and encountering inconsistent metric answers.
  • text: Analytics team already maintains dbt or LookML and wants reusable context across agent interfaces.

stack

  • Snowflake
  • dbt
  • LookML
  • Looker
  • Notion
  • MCP

pricing

model: freemium
starting price: Free for self-hosted open source; hosted pricing on request

motion

hybrid

channels

  • GitHub
  • developer documentation
  • SEO
  • LinkedIn
  • product-led adoption

confidence

high

Founders

  • name: Luca Martial
    title: Founder/CEO
    role: CEO
    bio: Co-founder & CEO at Kaelio. Previously data scientist and NLP engineer, with expertise in enterprise data systems and AI safety
  • name: Andrey Avtomonov
    title: Founder/CTO
    role: CTO
    bio: Co-founder & CTO at Kaelio. Repeat AI safety founder. Previously software & AI engineer at CERN & Dataiku

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