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TopQuadrant

TopQuadrant builds the TQ Data Foundation, a platform that turns scattered enterprise data into authoritative context that AI agents can reach. It is built on knowledge graph and ontology technology, so the same question returns the same answer, whatever asks it.

For agents: TopQuadrant's TQ Data Foundation, a knowledge graph and ontology platform that gives AI agents governed, authoritative enterprise data context.

knowledge graphontologyenterprise dataauthoritative contextai agentstq data foundation

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-21T04:23:48.055Z. Cached copy · Source on topquadrant.com

# TopQuadrant

> TopQuadrant builds the TQ Data Foundation, a platform that turns scattered enterprise data into authoritative context that AI agents can reach. It is built on knowledge graph and ontology technology, so the same question returns the same answer, whatever asks it.

TopQuadrant has worked in enterprise knowledge graphs, ontology management and data governance since 2001. Its products include the TQ Data Foundation and TopBraid EDG (Enterprise Data Governance).

Two terms carry specific meaning on this site. *Authoritative context* is enterprise meaning that a human has reviewed and approved, as opposed to context a model has inferred. *Ground truth* is the reviewed source a decision can be traced back to.

## Platform

- [TQ Data Foundation](https://www.topquadrant.com/tq-data-foundation): The platform. How it builds one governed source of truth and serves it to AI agents.
- [Authoritative context](https://www.topquadrant.com/authoritative-context): What authoritative context is, and how it differs from context a model infers.
- [Ontologies](https://www.topquadrant.com/ontologies): How to build, govern and publish the models that hold business meaning.
- [Knowledge graphs and agents](https://www.topquadrant.com/knowledge-graphs): How knowledge graphs give agents reachable meaning, relationships, rules and lineage.
- [Connectors](https://www.topquadrant.com/connectors): The source systems the platform reads from and writes to.
- [Solutions overview](https://www.topquadrant.com/solutions): Entry points by role, and a maturity scale for where a team is today.

## Use cases

- [Agent-ready semantic layer](https://www.topquadrant.com/use-case/agent-ready-semantic-layer)
- [AI agent governance](https://www.topquadrant.com/use-case/ai-agent-governance)
- [Semantic layer](https://www.topquadrant.com/use-case/semantic-layer)
- [Ontology governance](https://www.topquadrant.com/use-case/ontology-governance)
- [Reference data and taxonomy](https://www.topquadrant.com/use-case/reference-data-and-taxonomy)
- [Reference and customer 360](https://www.topquadrant.com/use-case/reference-and-customer-360)
- [Cross-department data standards](https://www.topquadrant.com/use-case/cross-department-data-standards)
- [Decision support](https://www.topquadrant.com/use-case/decision-support)
- [Regulatory compliance and model risk](https://www.topquadrant.com/use-case/regulatory-compliance-model-risk)
- [Regulatory submissions and IDMP](https://www.topquadrant.com/use-case/regulatory-submissions-idmp)
- [Medical terminology management](https://www.topquadrant.com/use-case/medical-terminology-management)
- [FAIR research data](https://www.topquadrant.com/use-case/fair-research-data)
- [Mission and domain ontologies](https://www.topquadrant.com/use-case/mission-and-domain-ontologies)
- [FOIA and audit readiness](https://www.topquadrant.com/use-case/foia-and-audit-readiness)
- [Content metadata and taxonomy](https://www.topquadrant.com/use-case/content-metadata
…

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