Enterprise intelligence that doesn’t hallucinate.
Ask any question across every data source in your organization. Get verified, source-cited answers in seconds. Build live dashboards on the fly. Automate complex tasks with AI agents grounded in governed, provable data — not statistical guesses.
The Problem
Business leaders wait days, weeks, even months to get actionable insights — to understand where they can make an impact.
Where is our supply chain at risk for holiday sales?
VP, Procurement
Where is our supply chain at risk for holiday sales? — asked by a VP, Procurement.
I’d like a customer 360 of Hooli Corp.
Account Manager
I’d like a customer 360 of Hooli Corp. — asked by a Account Manager.
What is the average tenure of my top reps?
SVP, Sales
What is the average tenure of my top reps? — asked by a SVP, Sales.
What are the top feature requests from our largest customers?
VP, Product
What are the top feature requests from our largest customers? — asked by a VP, Product.
The shift
The data already exists.
It’s just trapped across disconnected systems.
Fluree AI is what reads across all of them — and answers.
Connect any source.
CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.
Search 300+ sources…AVAILABLE SOURCESSalesforceApp · OAuthSnowflakeData lakePostgresDatabase · replicacustomers.csvCSV · 1.24M rows1.24M rows stagedstreaming to Fluree · CONNECTED
The graph builds itself.
Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.
CustomerOrderProductContractOwner
Answers, with receipts.
Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.
NLMCPRESTSPARQLTop accounts at risk this quarter?SPARQL · GENERATEDSELECT ?acct ?arr WHERE { ?acct a fin:Account ; fin:risk "high" ; fin:arr ?arr .} ORDER BY DESC(?arr)ANSWER3 accounts at elevated riskAcme RoboticsNorthwind CoGlobex CorpTOTAL EXPOSURE$1.84M ARR exposedtraced · 4 sources
The Proof
Accuracy. Speed. Analyst recognition.
Accuracy benchmark
95%+
GraphRAG retrieval accuracy on enterprise questions — where vector-only RAG hits a hard ceiling around 70%.
Because Fluree retrieves by traversing explicit relationships, not matching disconnected text fragments.
Speed benchmark
#1
Fastest read-write graph database on SPARQLoscope DBLP — and the only engine to complete every query.
0.28s geometric mean across 105 DBLP queries. 1.7× faster than Virtuoso, 138× faster than Oxigraph.
Analyst recognition
Gartner Cool Vendor in Data Management for GenAI.
Recognized for pioneering governed, GraphRAG-grounded AI for the enterprise.
Read the announcement
What Makes Fluree AI Different
Three things wrappers over generic data stores can’t do.
Retrieves by relationships — not by fragments.
Most AI platforms chunk documents and retrieve by statistical similarity. Fluree traverses your knowledge graph with structured context, source lineage, and relationship-aware evidence.
Why it matters
Because “statistical similarity” isn’t the same as truth.
Each user or agent operates in a governed slice of the graph.
Fluree embeds governance directly in the data. The LLM never encounters data it shouldn’t see — because unauthorized data never enters its context.
Why it matters
Because the safest data for AI is data the model never receives.
Every answer is inspectable, auditable, defensible.
Sources queried, records retrieved, relationships traversed, data freshness — every response carries the receipts. In healthcare, finance, and defense, “the AI said so” is not enough.
Read the provable answers docs
| Fluree AI | Glean | Palantir | ThoughtSpot | ChatGPT+Data | |
|---|---|---|---|---|---|
| AI data integration | Yes | Partial | Partial | No | No |
| Semantic layer + knowledge graph | Yes | Partial | Yes | No | No |
| Data-centric security | Yes | No | Yes | No | No |
| Time travel + audit | Yes | No | No | No | No |
| Provable AI (GraphRAG) | Yes | Partial | Partial | Partial | No |
| Query dashboards | Yes | Partial | Partial | Yes | No |
| Conversational analytics | Yes | Partial | Partial | Yes | Yes |
| Free self-service tier | Yes | No | No | No | Yes |
Go Deeper
Learn, evaluate, decide.
From first-principles explainers to industry analyst reports — everything an enterprise leader needs to build the case for GraphRAG-powered AI.
For Business Leaders
For Developers
Webinar replay
Live walkthrough The Future of RAG — Graph-Native AI with Fluree and MCP
The protocol + governance + graph story end-to-end — what enterprise-ready GenAI actually looks like.
Read the article
Research report GraphRAG for GenAI Accuracy
Benchmarks showing enterprise retrieval accuracy from ~70% on vector RAG to 95%+ on governed GraphRAG.
Download
Thesis Building Corporate Memory for Enterprise LLMs
Why your data architecture determines whether AI can become a product your clients will pay for.
Read the article
Industry Knowledge Graphs in Pharma
How life-sciences teams use knowledge graphs to connect trial, compound, and regulatory context.
Download