What it sells
The open-source context layer for data agents
Business model breakdown
Buyer: who owns the budget?
UnverifiedData and analytics engineering leaders at scaling companies deploying data agents.
Trigger: what makes them buy now?
Agents given raw warehouse access guess from table names and return wrong answers and burn tokens.
Workflow: what inputs become what output?
ktx auto-builds a context layer (metric definitions, join graph) from Snowflake, dbt, LookML, Looker and Notion; the team reviews it; agents (Claude Code, Cursor, LangChain) query it and ktx compiles SQL.
Economics: what it saves and how it charges
Open-core: free Apache 2.0 ktx, paid hosted ktx Cloud, managed Data Agent, plus services.
Distribution: how it reaches customers
Developer-led open source (npm, GitHub) with Book a Demo for hosted tiers; blog content on context layers.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Spring 2025 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.