context-layer
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Luca Martial Is Teaching AI Agents to Ask What the Numbers Mean
Before Luca Martial built a context layer for data agents, he studied bodies, cities, clinical language, and model failure. The through-line is less about AI than about making complicated systems answerable to people.
Kaelio
Kaelio is a San Francisco startup (Y Combinator, 2025) building the open-source context layer that makes AI data agents reliable. Its core project, ktx, auto-builds a governed layer of business knowledge and executable metric definitions from a company's data stack - Markdown wiki pages plus YAML that declares tables, joins, grain, measures and filters. Instead of an agent writing raw SQL that looks right but returns wrong numbers, it asks ktx for a metric and ktx plans the joins and compiles warehouse SQL. Kaelio ships ktx (Apache 2.0), a hosted ktx Cloud with governance and observability, and a managed Data Agent that answers questions in Slack, web and email with source-backed results.