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Master your ground truth for decision-grade AI

Your AI is inaccurate, irreproducible and expensive because your ground truth is scattered across the enterprise and unreachable by agents. TopQuadrant turns it into authoritative context, so the same question gets the same answer, whatever asks it.

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Context
Inferred context
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TQAuthoritative context
ReferencesOntologiesRulesProcesses
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The TQ Context

TQ sits between your source systems and your agents. You model your ground truth once, your experts govern it, and every downstream answer resolves against it instead of guessing.

Trusted by organizations who can’t afford to get it wrong

Thomson ReutersRead storySalesforceRead storyBristol Myers SquibbRead storyGoogleRead storySpotifyRead storyJohnson & JohnsonRead storyAdobeRead storyNovo NordiskRead storyMayo ClinicRead storyBayerRead storyThomson Reuters
20-40%
More content discovered, from consistent classification

Agents are more than copilots. They need to be decision-grade.

True agents make decisions that enterprises can get behind.

Accurate. Every answer resolves against definitions your experts agreed on, not thresholds a model invented.

Repeatable. Context is versioned, so the same question returns the same answer next quarter and in the next audit.

Efficient. Governed context is reused instead of rebuilt, and a governed answer is a lookup rather than a statistical judgment.

Safe. Access and policy travel with the context, so agents respect them without being asked.

Your context is your ground truth. Your agents need it to earn your trust.

Not all context is built the same. Your authoritative context is what makes you different.

Most of your context is inferred, a guess with good grammar. What it can't do is settle a disagreement. Whether it's a trend, a definition, or a mapping, context only becomes authoritative when one thing happens: humans agree on it.

Ask your data

A platform behind accurate, repeatable, cheaper AI

When your AI reasons over governed, authoritative context, the numbers move: accuracy, speed, and cost.

~15%
of the Fortune 500 build on TopQuadrant
3.5×
more accurate AI answers
300+
Prebuilt ontologies and accelerators to get you started fast
84%
lower token use

Trusted by teams that can’t afford to get it wrong

The world’s most regulated, data-intensive enterprises run on TopQuadrant.

Customer story · Expedia Group
We had a semantic problem. Getting governed definitions of every property, place, and customer need helped us drive the uniform interpretation we needed to stay coordinated.
Patrick BradleySr. Director of Engineering
1
Governed travel taxonomy across every brand
Weeks
To audit-ready lineage, source to model

The only data foundation built entirely on knowledge graphs

One place to model what your data means, where it lives, and how it is allowed to be used. Built on open standards our team helped author, so what you model stays yours.

A comprehensive context foundation

Master data, reference data, quality, catalog, and governance in one place: connecting what your data means, where it lives, and how it should be used, from a single team to the whole enterprise.

From raw data to agent-ready context, in five connected moves

No rip-and-replace. No blank page. Your experts stay in control the whole way, from first draft to ground truth.

STEP 01

Point at your data

Connect to your data assets and references to ingest existing ground truths into one place.

STEP 02

Generate with AI

Link facts, terms, and entities across systems into one flexible structure, with in-platform agents.

STEP 03

Make it authoritative

Enable your experts to validate ground truths.

STEP 04

Wire it into agents

Serve trusted, explainable context to every agent, app, and analyst.

STEP 05

Keep it true, automatically

TopQuadrant watches for drift and new context across your systems, flags what changed, and proposes updates for your experts to confirm.

Use cases for every data team

TopQuadrant applies governed context dynamically at query-time, surfacing the meaning and relationships that turn scattered data into decisions you can defend.

Explore use cases →

Ontology governance

Manage ontologies as governed, versioned assets with owners, change control, and impact analysis.

Reference Data and Taxonomy

Govern the shared definitions and hierarchies every downstream system depends on.

Semantic layer

One agent-ready layer that tells your query engine what the data actually means.

Content harmonization

Bring unstructured content under the same governed vocabulary as your data.

AI Agent Governance

Give agents context they can cite, and the controls to keep them inside policy.

Decision Support

Answers that arrive with the policy that governed them and the lineage behind them.

From the blog

Guides, patterns, and perspectives on building the context for AI.

View all →
AI & context

Do You Already Have a Context Layer? You May Be Closer Than You Think

AI fails when it doesn't know your business. Most organizations already have the context they need — it just isn't linked, governed, or reusable yet.

June 30, 2026
·
6 min read
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AI & context

All Data Is Referential. Here’s Why That Changes Everything.

Enterprises spend millions on master data management, data catalogs, and AI infrastructure — and still can’t get their systems to agree on what the data means. The missing piece isn’t more tooling. It’s a governed reference data layer that travels with your data everywhere it goes.

April 9, 2026
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AI & context

Gartner D&A Declares Context is King: Context Layers as the New Critical Infrastructure for AI

At the Gartner Data & Analytics Summit, context was named critical infrastructure for AI. Here is what that shift means for enterprise data leaders.

March 17, 2026
·
8 min read
→

Questions, answered

What teams ask when they stop guessing and start governing.

What is a knowledge graph?

A machine-readable model of the things your business runs on and the relationships between them, with meaning attached, so software can reason over your data instead of just retrieving it.

How does TopQuadrant make data AI-ready?

It connects your structured and unstructured sources, standardises terms against your taxonomies and glossaries, and models the meaning your agents need. Your experts approve it, which is what makes it authoritative.

What types of data can you connect and govern?

Structured data, unstructured content like documents and notes, business glossaries, taxonomies, ontologies, metadata and policies, in one governed place.

Who typically uses TopQuadrant?

Enterprise architects, knowledge engineers and data platform leads build on it. The CDO, CTO or AI leader who owns the outcome sponsors it.

How quickly can we get started?

Most organisations are connecting, governing and serving context within weeks, because you start from prebuilt ontologies and the metadata you already have.