DataGalaxy is recognized in the Gartner® Value Management for Data, Analytics & AI Hype Cycle™ Report

Recognized in the Gartner® Value Management Hype Cycle™ Report

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The AI Context
+Value Engine

AI agents guess when they don’t know what your data means. Your teams hesitate when they can’t tell if it’s safe to use. And nobody can say what the last AI project was worth. DataGalaxy gives you the context, the trust and the proof of value to fix all three.

Get a demo See how it fits together
  • 200+global clients
  • 70+native connectors, metadata only
  • 300+use cases in a single portfolio at Roche
ContextDefinitions, glossary, metadata, relationships
TrustLineage, ownership, policy, quality, certification
ValueUse cases, KPIs, prioritization, portfolio visibility

Bring context to AI and turn data initiatives into measurable business value

Trusted by 200+ leaders worldwide

Canal+ Bouygues Telecom Society Insurance Airbus Bank of China Malakoff Humanis Onet Swiss Life

Plug in your stack.
Trust your AI. Prove the value.

Your data stays where it lives. DataGalaxy gives your AI and analytics tools the context to pick the right, trusted data, so recommendations hold up.

Your stack

70+ native connectors. We only read metadata.

Data platforms

Warehouses and lakehouses

Snowflake Databricks BigQuery

BI and transformation

Dashboards and pipelines

Power BI Looker Tableau dbt

Quality and observability

Quality signals next to your data

Monte Carlo Bigeye Sifflet

Business apps and files

CRM, spreadsheets, flat files

Salesforce HubSpot Excel CSV

DataGalaxy platform

Start with context, add trust, then prove the value.

Value

Prioritize AI use cases and prove their return.

AI demand management AI use cases Data and AI products
Trust

Lineage, policies and quality rules in daily work.

Data quality Data lineageData products AI data steward Campaigns
Context

Your semantic layer: what data means and who owns it.

Data catalog Business glossary

Your AI and teams

They ask DataGalaxy first, then query your stack.

AI agents and assistants

Any MCP-compatible tool asks DataGalaxy first.

MCP Server Blink AI copilot AI-ready data

Business and data teams

Find, trust and reuse data without IT.

Data discoverability Marketplace Browser extension Visual knowledge studio

Risk and compliance

Audit-ready lineage and policies.

Regulatory compliance Impact analysis Trust center

Leadership

Every initiative and the value it returns.

AI value tracking AI use cases portfolio Value governance

What changes when your AI asks DataGalaxy first

Illustrative example: a revenue question, with the data in Snowflake.

Without context

“What was Q3 revenue by region?”

The AI finds look-alike tables in Snowflake and has to guess which one to trust.

revenue_finalrevenue_v2rev_tmporders_agg

A confident answer, on the wrong table.

With DataGalaxy

“What was Q3 revenue by region?”

  1. 1The AI asks DataGalaxy which data to use, through the MCP Server.
  2. 2DataGalaxy answers with the right table, its validated definition, its owner, its lineage and its quality signals.
  3. 3The AI queries Snowflake once, on the right data.

The right answer, with its source.

See how the MCP Server works → What is a semantic layer? →

Ask your data more than “what?”

Context tells you what your data means. Trust tells you whether you can use it. Value tells you what it is worth.

What does this data actually mean?

Give people and AI the same definitions.

Business meaning, owners and relationships live next to the data. People find what they need in the catalog. Agents get the same answers through the MCP Server, so they stop guessing.

DataGalaxy MCP Server bringing trusted enterprise context to AI
2 days

saved per service request at Getlink, where 3,000+ employees find trusted data on their own. Read the story

Explore the Context layer

What breaks if I change it, and can I use it safely?

Know what breaks before you change anything.

Lineage traces every dependency, from source to dashboard to model. Policies, owners and certification sit on the assets people and AI use, so it is clear what can be used, by whom, and under which conditions.

DataGalaxy lineage and impact analysis interface
20+

data sources and usages mapped at Canal+, with one view of dependencies and fewer incidents from uncontrolled changes. Read the story

Explore the Trust layer

Is it actually creating value?

Tie every initiative to the outcome it is meant to deliver.

Capture requests, prioritize use cases against business objectives, and follow impact and adoption in one portfolio. Leaders see what is in flight, what is paying off and where to invest next.

DataGalaxy portfolio and business value interface
300+

use cases, reports and data products in a single portfolio at Roche, with 3+ value streams standardized. Read the story

Explore the Value layer

Making AI inherit trust by default

See how Sage connected data governance, AI initiatives, and business value through one operating model powered by DataGalaxy.

  • 500+data and AI use cases
  • 100+AI use cases
  • 75%fewer legacy reports
Read the Sage story
Sage customer story
Find fasterTurn scattered knowledge into one discoverable layer for people and AI.
Trust moreBring governance, lineage, and ownership into day-to-day decisions.
Prove impactShow how initiatives connect to adoption, KPIs, and measurable value.

Ready to see the full platform in action?

Start with the layer that matters most to you, or book a demo to see how DataGalaxy connects context, trust, and value in one platform.

Get a demo Start with Context Start with Trust Start with Value