LEIT Data Model Studio is a modelling system of record, not a generic diagramming app. Method-guided prompts and 49 skill packs (method plus industry) drive one canonical graph across conceptual, logical, physical, and glossary views, with full provenance on every structural change. Agents propose graph operations, humans approve, and deterministic emitters produce DDL across six dialects, never raw LLM SQL.
Prompt Studio, Model Canvas, and Review and Provenance in one workflow.
Guided modelling grounded in proven method.
Every structural proposal is approved by a human before it lands.
PostgreSQL, MySQL, SQL Server, Oracle, Snowflake, and BigQuery.
Traceable history on every change.
DDL, dbt YAML, docs, and synthetic test data.
| Traditional ERD tools | LEIT Data Model Studio |
|---|---|
| AI copilot bolted onto diagramming | Prompt-first, method-guided workflows |
| Limited or manual provenance | Full provenance by default |
| Risk of LLM-shaped DDL | Deterministic emitters, never raw LLM SQL |
| Generic AI database design | Method skills plus industry standards packs |
Human approval on every structural change.
Skill packs encode proven modelling method.
Repeatable DDL across six dialects.
Every decision is traceable.
Snowflake: live deploy and verify today. Databricks: build-ready.
Short, watermarked walkthroughs of the Studio. Click any clip to play.