One source of truth for data & AI

The governed context layer for data and AI

Design your models, govern their meaning, and power your stack and AI — from one source of truth.

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Connect to the platforms you already run on
AI Copilot

AI is only as good as the meaning behind your data

01

Your data's meaning is scattered across teams, tools, and people's heads.

02

AI built on that foundation gives unreliable, hallucinated answers.

03

The fix is a strong, governed foundation, before you build agents on top.

Author the meaning. Govern it. Serve it everywhere.

SqlDBM is where your data is designed, conceptual through physical, and where its meaning is governed. The authored, governed source your warehouse, your catalog, and your AI all inherit from. You author meaning deliberately, you don't scrape and guess.

SqlDBM entity-relationship diagram mockup
The single front door

One modeling layer, defined once, inherited everywhere

Standards, naming, and transforms set once at the top, inherited everywhere. Models defined once and reused, so change propagates and drift becomes visible. One front door feeding your pipeline, your warehouse, and your catalog.

Global standards Templates Naming Global references Glossary PII & CDE tags
30%

ROI from models acting as a Rosetta stone between engineering and the business.

Source change
2 weeks→1 day
70%

Faster delivery from a shared, reusable base model layer.

New system
5 months→3 weeks
Outcomes from Northern Trust, presented at Snowflake Summit.
Capabilities

The modeling platform your team already trusts

All three modeling tiers

Conceptual, logical, physical, in a modern cloud UX.

Reverse & forward engineering

Full round trip to your warehouse, both directions.

Version control

Compare revisions and work concurrently without collisions.

Standards enforced

Naming, glossary, and templates applied automatically.

Global modeling

Reuse objects across projects and layers.

Collaboration

Bring the whole team into the model.

The content layer

One governed source, ready for AI

Author meaning once. It travels downstream to the tools your teams and your AI already use.

Semantic layer

Author metrics and meaning, feed Cortex and your AI tools.

Governance that travels

Governance fields flow to your warehouse and your catalog.

Copilot

Build and document models in plain language.

MCP & API

Your model becomes the map that makes AI reliable and cheaper on tokens.

Explore the context layer

Works with your stack

Built for the people who own meaning

By role, and by industry.

Data architects & modelers

Design conceptual through physical in one modern workspace.

Governance & security teams

Govern meaning and standards, and keep them enforced.

The wider business

Your institutional-knowledge contributors, in the model.

Industries Financial services Insurance Manufacturing Pharma Retail
Security & trust

Built for enterprise security

Vanta / SOC 2
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Metadata only, deployment you control, and the certifications your security team will ask for.

Visit our trust center →

Trusted by teams managing complex data environments

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Financial services

SqlDBM has been pivotal in helping me win the internal battle for model adoption, a single pane of glass across all our data models.

Jez Davies, Chief Information Architect, Northern Trust
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Governance

Round-trip engineering cut our migration timeline in half, and governance came along for the ride.

Placeholder Quote, Head of Governance
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Analytics

The model is now the shared language between our data team and the business.

Placeholder Quote, Analytics Lead

Try modeling with SqlDBM for your Enterprise

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