AI needs context.
The SqlDBM model already holds it.
SqlDBM AI is built into your enterprise data modeling platform. Your model, authored and governed, delivered as trusted context to every human and agent that needs it.
Meaning and governance,
together.
Most AI stacks separate schema from governance. Definitions drift. Governance guesses.
SqlDBM authors both together: definitions, relationships, lineage, and standards in one model. So the context your AI grounds against is meaningful and governed, not assumed.
Context is what makes AI right
AI guesses on raw data
Point an agent at raw tables and it guesses: deprecated tables, invented joins, the wrong “customer.” The number looks right, but isn’t. What’s missing is the governed context that already lives in your data model.
How is PROFIT in FACT_CUSTOMER_ORDERS calculated?
PROFIT exists — but no documented formula.
- Column: PROFIT number(38,0)
- Comment: empty
- No COST column in this table
I won’t assume (PRICE × QUANTITY) − COST — that’s a guess.
Want me to document the real formula as a column comment once you confirm it?
Yes
Documented on the model ✓ Versioned and attributed, so this is the approved definition from now on.
Every human and every agent that asks gets this same answer.
AI at every step, not bolted on
One platform to model, standardize and govern your data with AI inside every layer and grounded in your model.
Data modeling
AI reconstructs the model from a schema — or even a diagram — and fills the metadata.
Semantic modeling
Copilot drafts models from requirements and fills the meaning, so answers stay correct.
Governed metadata
AI enriches and standardizes metadata right where you're working.
Context folder
AI folds docs and tribal knowledge into the governed context.
Fits the stack you already run
Snowflake
Databricks
SQL Server
Azure Synapse
Oracle
Google BigQuery
Amazon Redshift
MySQL
Postgre SQL
Microsoft Fabric
Most tools solve one layer of the stack. SqlDBM connects every stage — See all integrations
Coming soon
What comes next
From governed context to the model of record
Model of Record
The approved version as the source of authority — latest-approved, not latest-edit.
Skills
Reusable, packaged capabilities that apply your standards and patterns across every team.
Extended reasoning
Deeper multi-step analysis for complex modeling, migration and impact work.
Supervised agents
Agents that act within governed guardrails, under human authority — a person always holds the approval.
Persistent context
Context that carries across sessions, so agent work builds on the governed model instead of restarting.
SqlDBM doesn’t query your data.
It makes every query trustworthy.
Ground your agents in the governed model today