Semantic Models Overview
Transform ERDs into production-ready analytics assets
Create Model
Set up a new Semantic Model with context and requirements
Capture Requirements
AI-driven Business Requirements Document generation through collaborative interview
AI Modeling & Build
Generated artifacts - lineage, catalog, glossary, metrics, validation, and DBT
Execute DBT
Build and run DBT pipelines in your data warehouse
Code Sync
Sync generated DBT code to Git repositories
Publish
Publish semantic models to Snowflake, Databricks, BigQuery, or ClickHouse