Reference data that every system trusts.
And every AI agent can use.
Enterprise reference data is the foundation everything else builds on: product catalogs, supplier records, classification schemes, pricing structures, organizational hierarchies. When reference data is inconsistent, every downstream system inherits the problem. Data Graphs provides a single governed source of truth, accessible to both enterprise systems and AI agents.
One governed source. Every system aligned. Every AI grounded.
Reference data is the weakest link in most enterprises
Reference data sits at the heart of every enterprise operation: product categories, supplier records, geographic hierarchies, classification schemes, pricing tiers, compliance codes. When this foundational data is scattered across ERP, CRM, PIM, and other systems, inconsistencies cascade through every process that depends on it.
Traditional master data management tools address the symptoms with point-to-point synchronization and rigid schemas. But in an AI-first world, the problem has a new dimension: AI agents need governed, relationship-rich reference data to reason over, not just flat lookup tables to query. The reference data backbone needs to serve both systems and intelligence.
Master data management across enterprise systems
Unify reference data across ERP, CRM, PIM, DAM, MAM, HR, and other enterprise systems. Data Graphs integrates and maps data entities, enforcing governance to ensure consistency and reliability. Retailers synchronize product information seamlessly across e-commerce, inventory, marketing assets, and supply chain systems, eliminating the drift that causes operational errors.
Product information management and analytics
Centrally manage product categories, attributes, pricing structures, vendor information, and analytics as governed reference data. Link this to product content and assets for consistent delivery across every sales channel. Data Graphs gives product teams a single, reliable foundation that feeds every downstream system and AI workflow.
Supply chain reference data
Model reference data for suppliers, parts, materials, shipping routes, and compliance requirements in a single knowledge graph. Track relationships and dependencies across multi-tier supply chains in real time. Global manufacturers maintain comprehensive, governed supplier networks that optimize operations and surface risk before it materializes.
From fragmented lookups to a governed reference graph
Model your reference data domain: entities, relationships, hierarchies, controlled vocabularies
Ingest and map reference data from existing enterprise systems via API or bulk import
Govern with stewardship workflows: approvals, versioning, audit trails, role-based access
Distribute governed reference data to consuming systems via real-time APIs
AI agents and copilots query your reference graph natively through MCP services
Beyond traditional MDM tools
Ready to unify your reference data?
See how Data Graphs can give every system and every AI agent a single, governed source of truth.