Strict Semantic Anchoring

Bridge the gap between raw database schemas and AI logic with strict, governed semantic marts.

Key Capabilities

dbt Core Marts

Raw advertising and billing metrics are automatically transformed into unified daily KPI marts.

Zero Hallucinations

By exposing strict semantic schemas, LLMs know exactly which columns exist, preventing SQL generation failures.

Tabular Numerals

Tabular formatting guarantees that every numeric output is stable and aligned.

In-depth Overview

Large Language Models are excellent at reasoning, but hostile to messy database schemas. Asking an AI agent to write SQL over raw, un-indexed tables from five different advertising platforms results in query errors, double-counting, and hallucinations. A secure control plane requires strict data modeling.

One Governed Semantic Truth

Toorow uses dbt-core to compile raw metrics (sessions, spend, clicks, conversions) into a single, canonical, daily grain fact table: fact_daily_kpi. Timezones and currencies are harmonized once at ingestion. When the AI agent queries data, it looks at a clean, documented semantic dictionary — ensuring accuracy and speed.

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