Power the Context Your AI Needs
The TopQuadrant Data Foundation helps build and manage your Context Layer for AI that is accurate, explainable and trusted at scale.
Operationalizing complex data into AI-ready data foundations for the world's leading enterprises
Data Inconsistency Stalls Growth. Connect your data with TopBraid EDG
Built entirely on knowledge graph technology, TopBraid EDG creates a connected, AI-ready data foundation across structured and unstructured information.
Why is AI Failing? It’s Missing Your Context.
TQ Data Foundation uses knowledge graph technology to build the Context Layer that helps AI make sense of your enterprise data. TQ turns knowledge into models, references, metadata and business logic to power AI that is accurate, scalable and trustworthy.
How it Works
Build your Models
Connect References
Ingest Metadata
Layer in Business Logic
Accelerate Deployment with AI
Drive Real Business Impact with AI-Ready Data
Trusted AI to Yield Positive ROI
Increase AI accuracy to increase AI trust, paving the way for adoption and return on investment
Reusable Context Architecture
Increase tech stack efficiency with a reusable context layer, reducing fragmented workflows and brittle pipelines
Safeguarded AI
Reduce non-compliant data and AI usage and regulatory risks with contextual guardrails that keep AI outputs production-ready
Build Once, Manage Change Continuously
Control drift and manage the lifecycle of evolving context to quickly adapt with your business and its rules
Solutions We Offer
Ready to unlock context-driven AI?
Let us show you how we solve the missing link to scalable AI.
Frequently Asked Questions
What is a Knowledge Graph?
A knowledge graph brings together facts, terms, and context in one flexible structure so teams can discover, understand, and use what their organization knows. This structure makes it easier to connect data across systems and uncover hidden relationships.
How does TQ Data Foundation help make our data AI-ready?
TQ Data Foundation prepares your data for AI by connecting structured and unstructured information, standardizing terms with taxonomies and glossaries, and enriching data with semantic models. It ensures that your data is consistently organized, governed, and trusted to drive AI initiatives and business analytics.
What types of data can TopQuadrant connect and govern?
TopQuadrant connects and governs structured data, unstructured content such as documents and notes, business glossaries, taxonomies, ontologies, metadata, and policies. It brings all critical data assets into a unified and governed knowledge graph to support enterprise innovation.
How does TopQuadrant support data governance and compliance?
TopQuadrant supports governance and compliance by creating clear policies that define how data is used, processed, and accessed. It enforces these policies across structured and unstructured information, improves data quality, ensures standards are followed, and provides full traceability for regulatory reporting
Who typically uses TQ Data Foundation inside an organization?
TQ Data Foundation is used by data stewards, data governance teams, information architects, taxonomy managers, compliance officers, knowledge managers, and business analysts. These users manage, standardize, and govern enterprise data to support business innovation and AI readiness.
How quickly can we get started with TopQuadrant?
Organizations can get started with TopQuadrant quickly. The platform is built on open standards and flexible models, allowing teams to begin connecting, governing, and using their data in a matter of weeks.
Can TopQuadrant integrate with our existing data infrastructure?
Yes. TopQuadrant integrates with existing data infrastructure by connecting to databases, content management systems, cloud platforms, spreadsheets, and APIs. It unifies diverse data sources into a single governed environment without requiring major system changes.
What makes TopQuadrant different from other data management platforms?
Built Entirely on Knowledge Graphs: Unlock deeper insights and relationships in your data. Open Source & Standards-Based: Avoid vendor lock-in with interoperable, future-proof architecture. Flexible & Extensible: Adapt quickly to business changes—no more breaking your model to evolve.
