# Turn siloed data into connected knowledge

Fluree Sense uses AI to classify, resolve, and semantically map your structured enterprise data — then continuously keeps it synchronized. No massive ETL projects. Just clean, linked, AI-ready data flowing into your knowledge graph.

⊞ERP

customer_master

⊟CSV

product_extract

⊜API

events_stream

⊛CRM

contact_table

Customer  
ex:entity

Supplier  
ex:organization

Material  
ex:product

Plant  
ex:facility

Fluree Sense uses AI to classify source data against a canonical model, resolve cross-system entities, and create semantic links that turn disconnected records into connected knowledge — without ripping out source systems.

## The Sense Pipeline

### From raw sources to knowledge graph in seven stages.

### Plug into the systems you already run.

Sense ships connectors for the platforms enterprises already depend on — databases, SaaS apps, warehouses, files, APIs. Onboarding a new source is configuration, not engineering.

#### Databases

Oracle · PostgreSQL · MySQL · SQL Server

#### Enterprise apps

SAP · Salesforce · Workday · ServiceNow

#### Warehouses & lakes

Snowflake · Databricks · BigQuery · Iceberg

#### Files & extracts

CSV · TSV · Fixed-width · Mainframe · Excel

#### APIs

REST · SOAP endpoints

### Three layers of AI classification turn raw sources into modeled meaning.

Tables, columns, and records get aligned to your semantic model — even the records your source system never explicitly modeled. High-confidence decisions auto-promote; ambiguous ones route to stewards for review before they reach the governed graph.

#### Before

acct_nm  
cust_type  
cntry_cd  
status_flag

#### After

ex:accountName  
98% confidence  
ex:customerType  
95% confidence  
ex:country  
ISO IRI  
ex:lifecycleStatus  
classified

### Standardize values so cross-system queries actually agree.

Reference values — countries, currencies, status codes, units of measure — get mapped to controlled vocabularies and canonical IRIs.

"USA"→iso3166:US

"United States"→iso3166:US

"U.S."→iso3166:US

"Active"→ex:status/active

"USD 1,250.00"→1250.00 [iso4217:USD]

### One governed identity for every real-world thing.

Records describing the same customer, supplier, or product across CRM, ERP, and billing get resolved into a single Golden Record — with full provenance back to every source.

#### CRM

Acme Corp  
crm-1188

#### ERP

ACME Corporation  
erp-4421

#### Billing

Acme Co.  
bill-771

#### Golden Record

ex:organization/acme  
Lineage preserved to CRM, ERP, and billing records with attribute-level provenance.

### What belongs in the graph, and what stays at the edge.

Master data and decision-critical facts persist in Fluree Core as JSON-LD; high-volume operational detail stays in source systems and remains queryable via R2RML federation. Quality scores — completeness, consistency, timeliness — attach to each fact as it’s mapped, so downstream agents see trust signals next to value.

### Resolved data lands in Fluree Core as governed truth.

Triples are transacted into Core with full temporal history and lineage. Every fact carries quality metadata and source provenance, ready for AI, GraphRAG, analytics, and application use the moment it lands.

### The graph stays current after onboarding.

Source updates flow through the same classification and resolution pipeline that built the original graph — no nightly batches, no manual re-imports, no lag between operational reality and what your AI sees.

Source system update detected

Record reclassified and re-resolved

Golden Record transacted into Fluree Core

Subscribed systems notified

### Search 300+ sources…

AVAILABLE SOURCES  
SalesforceApp · OAuth  
SnowflakeData lake  
PostgresDatabase · replica  
customers.csvCSV · 1.24M rows  
1.24M rows staged  
streaming to Fluree · CONNECTED

1. Connect any source.

CSV, API, Postgres, Snowflake, Salesforce — Sense ingests them as-is. No schema migration. No pipelines to maintain.

2. The graph builds itself.

Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.

### The old way

| Capability | Traditional ETL | MDM | Fluree Sense |
| --- | --- | --- | --- |
| Discovery & Onboarding | Manual config | Manual config | AI-driven classification |
| Schema Mapping | Hand-coded transforms | Rule-based | ML-trained from SMEs |
| Entity Resolution | Separate tool needed | Built-in | Built-in, continuous, with governance APIs |
| Output Format | Tables / flat files | Tables | Semantic knowledge graph (JSON-LD + R2RML) |
| Continuous Sync (CDC) | Requires extra tooling | Limited | Native, bi-directional |
| Data Lineage | Varies by tool | Varies | End-to-end, built into graph |
| Knowledge Graph Ready | No | No | Direct load to Fluree Core |
| Human-in-the-Loop | Not typical | Some support | Built-in adjudication queues |
| Federated Query Output | No | No | R2RML virtual graph views |

## Sense is the structured data on-ramp.

Sense brings structured systems — databases, SaaS, files, APIs — into the same governed semantic model that CAM, Core, and ITM share.

- [Fluree ITM](/content/platform/itm/index.html) defines the language.
- [Sense](/content/platform/sense/index.html) maps structured data into that model.
- [CAM](/content/platform/cam/index.html) extracts knowledge from unstructured content against the same vocabulary.
- [Core](/content/platform/core/index.html) persists the resulting graph as governed enterprise truth.
- [Fluree AI](/content/platform/ai/index.html) turns that connected knowledge into grounded assistants, retrieval experiences, and agent workflows.

**Unstructured**  
Documents, PDFs, content repositories.

extract · tag · link  
Open [Fluree CAM](/content/platform/cam/index.html)

**Structured**  
App databases, lakes, warehouses.

ingest · classify · resolve  
Open [Fluree Sense](/content/platform/sense/index.html)

· knowledge graph· vector embeddings· schemas · ontologies· policies · lineage  
Open [Core](/content/platform/core/index.html)

The shared language every source, schema, and query aligns to.  
Open [ITM](/content/platform/itm/index.html)

Framework **Model, Map, Connect — how Fluree builds sustainable knowledge systems**  
The framework behind Sense: ontology modeling, AI classification, and embedded security across every source.  
Read the article

### See Sense on your data.

Walk through your sources with a Fluree solutions architect.