Why SqlDBM?

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Strategic advisors

Kent Graziano

Kent Graziano

The Data Warrior, Strategic Advisor, Data Vault Master, Author, Speaker, and Tae Kwon Do Grandmaster

Gordon Wong

Gordon Wong

Leading organizations through analytics transformations, preference for social missions, healthcare, energy, education, and civic engagement

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.

What SqlDBM means for the business

Enterprises adopt SqlDBM AI for what the governed model makes possible, not for the modeling alone.

Your AI gives the answer your auditor would

Every answer traces to the approved model and a definition your org has signed off, a number you can defend.

One meaning and one answer across the org

When five teams define “customer” five ways, AI

Regulated data stays untouched

SqlDBM works on the model and metadata, never the rows, so it clears security review at banks and insurers.

Governance you can prove

Every change is versioned and attributed, so when a number breaks months later, the record is already there.

Faster, without losing control

Migrations and onboarding move quicker while your standards keep holding.

No single-vendor lock-in

The governed model sits above your platforms, so it stays yours and portable as your estate changes.

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.

01

Data modeling

AI reconstructs the model from a schema — or even a diagram — and fills the metadata.Live

02

Semantic modeling

Copilot drafts models from requirements and fills the meaning, so answers stay correct.

03

Governed metadata

AI enriches and standardizes metadata right where you’re working.

04

Context folder

AI folds docs and tribal knowledge into the governed context.

Fits the stack you already run

Most tools solve one layer of the stack. SqlDBM connects every stage — See all integrations

SqlDBM doesn’t query your data.
It makes every query trustworthy.

Ground your agents in the governed model today.