One customer. One product. One truth. Across every system.
"Customer" in your CRM. "Client" in your ERP. "Account" in billing. Same entity — but your systems don’t know that. Fluree resolves entities across every source during ingestion, creating governed golden records with full lineage, continuous sync, and zero manual matching.
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What Is A Golden Record
One entity. One authoritative record. Every system sees the same truth.
A golden record is a single authoritative representation of a business entity — customer, product, supplier — built by resolving and merging data from every source system that touches it.
Without one, an LLM asking "What’s our total exposure to Acme?" queries five fragmented records across five systems. The answer depends on which system it checks first. With one, it queries a single resolved entity — connected, cited, and consistent.
Fluree creates golden records as a natural output of graph construction — not as a separate 18-month MDM project.
Connect your systems
Fluree reads from your CRM, ERP, billing, support, warehouse, and SaaS systems. Data stays in place; Fluree classifies it and begins resolving entities during ingestion.
AI resolves entities
Fluree Sense uses semantic matching, address normalization, and relationship analysis to identify the same entity across systems. Every match carries a confidence score.
Golden record assembly
The resolved entity becomes a graph node — one authoritative record with attributes merged per your conflict-resolution rules, with full lineage on every field.
Continuous sync
Change data capture keeps golden records current. When a source updates an address, the record reflects it in minutes — never batch-stale, never waiting for tomorrow’s run.
Why Fluree’s Golden Records Are Different
Six capabilities traditional MDM bolts on. We build in.
Golden records live in the graph, not a master-data silo
Traditional MDM bolts on a separate hub that must be synchronized with every source system. Fluree resolves entities during ingestion — the golden record is a first-class graph node, connected to its semantic model, access policy, and AI retrieval layer.
- Entity resolution during ingestion, not as a separate project
- Golden records as connected graph nodes
- One node, one policy, one retrieval surface
Context-aware resolution, not brittle manual rules
Fluree Sense understands that 'Acme Corp' at 100 Main St with a Widget Pro purchase is almost certainly the same entity as 'Acme Corporation' at 100 Main Street with a Widget Pro support ticket — based on relationships and context, not just string similarity.
- Context-aware semantic matching
- Relationship-aware, not keyword-based
- Learns from your data patterns
Source, timestamp, and confidence for every field
When the revenue figure says $4.2M, you see it: sourced from ERP (updated 3/15), confirmed by billing, overrides CRM estimate per source-priority rules. No black box — every merge decision is logged, auditable, and explainable.
- Source-system traceability on every attribute
- Timestamps + confidence scores
- Full conflict-resolution audit trail
Same golden record from databases, PDFs, and emails
Traditional MDM resolves across structured databases only. Fluree resolves across structured data with Sense AND unstructured content with CAM — so a customer in a contract PDF, a support email, and your CRM all reconcile to one governed record.
- Sense handles databases and SaaS apps
- CAM handles PDFs, contracts, emails, audio
- One entity view across every data type
Change data capture — minutes, not nightly batches
Traditional MDM runs batch reconciliation — nightly, weekly, or on demand. Between runs, your master data is stale. Fluree uses CDC for near real-time sync: when a source updates an address, the golden record reflects it within minutes.
- Change data capture keeps records current
- Minutes, not overnight windows
- Always-current entity view for every system
Golden records agents can actually reason over
Golden records in the knowledge graph are directly queryable via GraphRAG and MCP. When an LLM asks about total exposure to a vendor, it queries one resolved entity — not five fragmented records across five systems.
- Native MCP + GraphRAG retrieval
- One entity, one answer, no duplicates
- The prerequisite for accurate enterprise AI
| Capability | Traditional MDM platforms |
Fluree Golden records |
|---|---|---|
| Architecture | Separate MDM hub + sync infrastructure | Native to the knowledge graph, no separate hub |
| Matching | Manual rules + string comparisons | AI-powered context-aware semantic matching |
| Unstructured data | Not supported | Native via Fluree CAM entity extraction |
| Time to value | 12–18 months | 4–8 weeks |
| Sync model | Batch — nightly or weekly | CDC — near real-time |
| Lineage | Partial — source only | Source, timestamp, and confidence on every attribute |
| AI / GraphRAG | Separate export, separate pipeline | Native — agents query resolved entities directly |
| Semantic model | Not supported | Entities linked to ontology and governed vocabulary |
| Investment | $10M+ with SI services | Platform-native — no separate MDM spend |