Point AI at one app and it works. Point it at the enterprise and it breaks.
Agents are moving into production across the enterprise, and every one of them reasons from whatever context it can reach. TopQuadrant gives them one governed ground truth instead, built by your experts and served to every model, agent, app and analyst.
Built entirely on open knowledge-graph standards · RDF · OWL · SHACL
Trusted by organizations that can't afford to get it wrong
Global banks, pharma, media and government. See how their teams turned scattered data into context their agents can defend.
Context built one app at a time knows one app at a time
A graphRAG bot for one team. A semantic layer for a dashboard. An agent scoped to a single function. Each one knows its own corner of the business and nothing past the edge of it.
Your people don't work that way. They share one understanding of what a customer is, what a contract commits you to, how a product moves, and they carry it across every department.
Your agents need the same thing. One authoritative context every model, agent, app and employee reasons from.
That is what TopQuadrant is for, and your experts are the ones who make it authoritative.
graphRAG · a BI semantic layer · a single agent
one governed model, shared by all
Five moves from scattered data to context you can trust
No rip-and-replace. No blank page. Your experts stay in control the whole way, from first draft to ground truth.
Point at your data
Start from what you already know.
Point the Foundation at your databases, catalogs, repos, and documents. It surfaces the models, terms, and relationships already living inside them.
Generate with AI
Let the platform propose the first version.
AI turns what it found into draft models and definitions your team can react to. The hard part, a first structure, is already done.
Make it authoritative
Your experts make it authoritative.
Stakeholders collaborate; subject-matter experts review, refine, and sign off. Human approval turns the draft into governed, authoritative context.
Wire it into agents
Serve it where AI is built.
Deliver approved context to your agents, copilots, and apps through MCP, SDKs, and your existing stack, living context, not a static export.
Keep it true, automatically
Keep it true, automatically.
The Foundation watches for drift and new context across your systems, flags what changed, and proposes updates, so authoritative stays authoritative.
Four things sitting between your data and your agents
References, relationships, rules and processes. Pick one to see what it captures, or hover a source to see how it connects.
Authoritative contextTQ 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.
What an agent needs, and where it comes from
Data retrieval, industry standards, your own operating practice, and policy. Four things an agent needs to answer well, all of them governed, all of them on open standards.
Marketplace
Prebuilt ontologies, taxonomies and industry standards, ready to reuse. Start from proven context packages by domain and use case instead of a blank page.
Semantic modeling
Model what your data means on open standards: RDF, OWL, SHACL and SPARQL. Semantics are native here, built in from the ground up rather than bolted on.
Copilot
Draft context in plain language. AI proposes models, classifies concepts and suggests links, so your experts spend their time deciding instead of starting blank.
Centralized governance
Update once, disseminate everywhere. Every change propagates to every connected system, with full version history and time-travel to the context behind any past decision.
Connectors
Connect metadata and data across 200+ systems (Snowflake, Databricks, SharePoint, Neo4j, Salesforce, Power BI, Collibra and more) into one governed knowledge graph.
Agent enablement
Serve governed context to your agents, copilots and apps through MCP, a Python SDK and REST. Dynamic, machine-readable, always current.
“For the first time, our search, our reports, and our AI all answer from the same definition of a customer. The debate about whose number is right just… ended.”