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.
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.
Definition
What is a golden record?
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.
From duplicates to golden records.
Four stages, one ingestion pipeline — connect, resolve, assemble, and keep in sync.
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 DifferentSix capabilities traditional MDM
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
Traditional MDM vs.
Fluree golden records.
A direct capability comparison between legacy MDM platforms and Fluree’s knowledge-graph-native approach.
The golden records playbook.
Case studies, whitepapers, and practitioner guides for building AI-ready master data without the 18-month project.
Customer case study
Accuracy
97.5%
Delivered in
3 weeks
Global 500 CPG
How a Global 500 CPG Company Built an AI-Ready Product Catalog
Five fragmented product data sources, 48% duplicate rate, enriched golden records — all in three weeks.
Read the case study
Why it matters
Banking playbookWhy Your Enterprise AI Hallucinates — and the Science Behind Fixing It
Entity resolution is the cure. Without golden records, every AI answer is built on duplicates and conflicts.
Read the articleAI-driven customer MDM for banks.
Download one-pager
Practitioner deep-dive
Improving Master Data Management with Supervised Machine Learning
How ML-assisted matching beats brittle string-rule MDM — and what to look for when you evaluate it.
Read the articleFAQ
A golden record is a single, authoritative representation of a business entity — customer, product, supplier — created by resolving and merging data from every source system that touches it. It eliminates duplicates, reconciles conflicts, and provides one trusted version that every system and AI agent can rely on.
Traditional MDM platforms (Informatica, Reltio, Tamr) build a separate master data hub requiring 12–18 months and millions in implementation. Fluree creates golden records as a natural output of knowledge graph construction — entity resolution happens during data ingestion, not as a separate project.
AI-powered semantic matching that combines name similarity, address normalization, relationship patterns, and contextual signals. Not just string matching — Fluree understands that 'Acme Corp' with Widget Pro purchase history is the same entity as 'Acme Corporation' with a Widget Pro support ticket. Every match includes a confidence score.
Yes. Fluree CAM extracts entities from PDFs, contracts, emails, and documents — and reconciles them against the same golden records Sense resolves from structured systems. One entity view across every data type.
Configurable conflict-resolution rules determine which attributes take precedence: newest wins, most complete source wins, or a source-priority hierarchy. Every resolution decision is logged with full lineage — which source contributed which attribute, and why.
Yes. Change data capture provides near real-time sync — when a source system updates a record, the golden record reflects it in minutes, not overnight. No stale master data between batch runs.
Without golden records, an LLM queries five fragmented records for 'Acme' across five systems and returns duplicated, conflicting results. With golden records, the LLM queries one resolved entity in the knowledge graph — accurate, complete, and connected to every related entity by typed relationships.
Not necessarily. Fluree can complement an existing MDM by adding knowledge-graph-native entity resolution, unstructured coverage, and AI-ready golden records — or replace it entirely if the scope and timeline make sense.
Recognized by Gartner
If your AI doesn’t know who your customers are, nothing else matters.
Fluree resolves entities across every system — automatically, continuously, and with full lineage. One truth, ready for every downstream agent.