Enterprise AI / Semantic Layer

The Semantic Layer That Builds Itself

Fluree’s semantic layer creates a single source of truth across every system—automatically resolving entity conflicts, discovering hidden relationships, and unifying your entire data ecosystem.

One Language for All Your Data

Different systems, different schemas, different definitions of “customer” vs “client.”

Fluree’s semantic layer solves this automatically—connecting to any data source, classifying structured and unstructured data with AI, and creating a single source of truth that evolves with your business.

Core Capabilities

Model & Ontology

Living, breathing data models that evolve with your business—never static, always synchronized.

Auto-Classification

AI maps structured and unstructured data to your ontology automatically—no manual tagging required.

Relationship Linking

Automatic entity resolution and relationship discovery across all your connected systems.

Entity Resolution

Match entities across systems and maintain golden records—one source of truth for every customer, product, and asset.

HOW IT WORKS

From Fragmented Data to Unified Intelligence

Fluree’s AI-powered semantic layer connects your data sources, unifies them automatically, and makes your entire enterprise AI-ready—in weeks, not years.

1

Connect

Plug into any data source in minutes with pre-built connectors. No custom integration code required—just point Fluree at your data and go.


Pre-built connectors for 200+ SaaS applications

Upload or connect structured and unstructured Content

Works alongside your existing stack—no rip and replace

2

Unify

AI builds your semantic layer automatically—classifying data, resolving entities, and discovering relationships across every connected system.

Auto-Classification

AI maps structured and unstructured data to your ontology automatically. No manual tagging. No army of data stewards.

Entity Resolution

Match “client” to “customer” automatically. Maintain golden records and eliminate duplicates across systems.


Living data models that evolve as your business changes

Relationship discovery surfaces hidden connections

3

Query

Access unified intelligence your way. Your semantic layer becomes the trusted foundation for every AI initiative, analytics dashboard, and business application.


Natural language, SPARQL, or REST API

Power RAG applications with grounded, contextual data

Enable self-service analytics without data engineering bottlenecks


Explore GraphRAG →






Semantic Layer – Proof Point Preview (Clean)


PROVEN IN PRODUCTION

See What’s Possible

Financial Services

Global Financial Services Leader

Investment Banking • Wealth Management • Institutional Securities

10x
increase in knowledge base size

Transformed how hundreds of business users access macroeconomic intelligence across nearly half a million documents. Fluree’s semantic layer eliminated error-prone manual tagging and established quality-controlled, AI-driven classification—regaining user trust in the data portal.

~500K

Documents indexed & classified

100%

Automated tagging

Hundreds

Of analysts served daily

The Challenge

Existing publishing workflows couldn’t properly automate content tagging based on semantic standards. Business users struggled to keep up with the pace of change in the financial industry—search and discovery was failing them.

The Fluree Solution

Fluree combined knowledge graphs with AI to create an automated tagging system. Documents are now auto-processed for AI-driven tagging, inference, disambiguation, and relevance scoring—with continuous discovery of emerging topics fed back into the knowledge base.

WHY FLUREE

Not Another Tool to Manage.
A Foundation to Build On.

See how Fluree’s AI-native semantic layer compares to traditional approaches.

Capability Traditional Approach Fluree Approach
Ontology Creation Manual modeling requiring specialized graph expertise AI-assisted creation that learns from your data
Platform Architecture Separate tools for catalog, MDM, classification, and graph One unified platform that does it all
Data Types Supported Structured data only Structured + unstructured in one graph
Time to Value 18-month projects with SI armies Connect in minutes, value in weeks
Data Classification Manual tagging by data stewards AI auto-classification as data arrives
Security & Governance Bolted on after deployment Built in—policies travel with data

Learn more:
Explore GraphRAG →|Conversational Analytics →

Frequently Asked Questions

How is this different from our existing data catalog?
+

Data catalogs document what data you have—Fluree’s semantic layer makes it usable. While catalogs provide metadata and lineage, they don’t unify data or resolve conflicts across systems. Fluree creates a living semantic model that actually connects your data, resolves entities, and enables cross-system queries. Think of it as the difference between a library index and the actual connected knowledge.

Do we need to replace our current tools?
+

No rip and replace required. Fluree sits alongside your existing infrastructure—Oracle, SAP, Salesforce, Snowflake, data lakes—connecting to systems through pre-built connectors. Your current tools keep running while Fluree creates a unified semantic layer on top. Most organizations start seeing value within weeks without disrupting existing workflows.

How long until we see results?
+

Connect your first data sources in minutes. AI-powered classification begins immediately. Most organizations have a working semantic layer with meaningful insights within weeks—not the 18-month timelines typical of traditional data unification projects. The key difference: Fluree’s AI does the heavy lifting that used to require armies of data stewards and ontologists.

What about security and compliance?
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Security is built in, not bolted on. Governance policies are embedded at the data layer and enforced at query time—before data ever reaches applications or AI models. Access controls travel with the data, complete audit trails track every query, and sensitive information is filtered based on user permissions. This architecture ensures compliance without adding middleware complexity.

Can this work with our AI and RAG initiatives?
+

Absolutely—this is exactly what your AI initiatives need. The semantic layer becomes the foundation for GraphRAG, providing AI models with connected, contextual data instead of isolated text chunks. Organizations using semantic knowledge graphs see up to 35% improvement in AI accuracy on complex reasoning tasks. Query via natural language, SPARQL, GraphQL, or REST API—however your AI agents need to access data.

What makes Fluree different from other semantic layer tools?
+

Three things set Fluree apart. First, AI-native architecture: our platform uses AI to build and maintain your semantic layer automatically—no team of ontologists required. Second, unified data types: we’re the only semantic layer that handles both structured and unstructured data in one graph. Third, one platform: where others require you to stitch together 5+ tools (catalog, MDM, classification, graph, governance), Fluree delivers everything in a single, integrated platform.

Build Your Semantic Data Layer Today

See how Fluree’s semantic layer can unify your data and accelerate your AI initiatives. Our team will show you exactly how it works with your data sources, your use cases, and your timeline.

Request Demo