The Context Governance Platform to master your Ground Truth
TopQuadrant turns your enterprise data, policies, and knowledge into context that AI can reason over, and humans can trust.
Agents are only as good as the context they can reach
Point an agent at one application and it performs. Point it at the enterprise and it starts guessing, because nothing tells it what a customer is, what a contract commits you to, or which rule applies.
TQ Data Foundation is where that meaning lives. Your experts model the concepts, relationships, rules and processes your business actually runs on, approve them, and govern them in one place.
That context is then served to every model, agent, application and analyst through MCP, SDKs and your existing stack, so the same question returns the same defensible answer, wherever it is asked.
Explore TQ Data FoundationDelivering agents that are
A platform that makes your context authoritative
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.
“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.”
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 casesOntology governance
Manage ontologies as governed, versioned assets with owners, change control, and impact analysis.
Taxonomy management
Concept schemes with a named owner and a change process, so six systems stop holding six versions.
Metadata management
Every table with an agreed definition, a named steward, and a date it was last confirmed true.
Reference data
One agreed list of codes, with every past version still answerable.
Semantic layer
One agent-ready layer that tells your query engine what the data actually means.
AI governance
Give agents context they can cite, and the controls to keep them inside policy.
From the blog
Guides, patterns, and perspectives on building the context for AI.
View allQuestions, 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 their first context within weeks, starting from one use case rather than a platform rollout.


