The Fluree Platform
Fluree Unified Intelligence Platform
One data and AI platform: throw everything at Fluree, and we connect the dots automatically — giving your agents, apps, and people a place they can actually trust.
Trusted by
Three steps.
One platform.
From a raw source to a governed knowledge graph — with answers that trace back to the row they came from.
Connect any source.CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.
The graph builds itself.Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.
Answers, with receipts.Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.
The data inside.
Your data, already connected.
Entity resolution runs at ingest — duplicates become one golden record.
Add interfaces, not integrations.
The data and context are already there. New interfaces just plug in.
DashboardsCan’t go stale — every tile is one live query against the shared graph.
Renewal health
$2.4M
at-risk ARR this quarter
Pipeline
Live queryAppsFrom a sentence — they read and write the same graph.
Turn this into a triage app for my team.
AgentsAct within policy — every step logged and reversible.
Your agent wants to write to Salesforce.
Update close dates on 3 renewal opportunities in Dana’s book.
AnswersYou can defend — every figure cited, permissioned, reproducible.
“Which renewals are at risk this quarter — and why?”
Recalling memories — Dana’s accounts, Q3 goals
Inspecting knowledge — crm · billing · contracts · usage
Querying the graph — renewals closing ≤ 90 days
Three renewals close this quarter — Atlas Logistics, Northwind, and Vertex Health — $2.4M in ARR combined quickbooks. Atlas is the highest risk: daily usage is down 34% since May usage.daily, and its auto-renew notice window closes Aug 30 contract §4.2.
Real results across
industries we serve.
USE CASE Financial Services
10,000+
documents extracted
Driving Just-in-Time Decision Intelligence
A financial services leader used Fluree to automate tagging, improve discovery, and grow a data portal into a more trusted intelligence destination.
“ By integrating Fluree into its content supply chain, the client eliminated error-prone tagging, expanded its knowledge base tenfold, and regained the trust of portal users consuming the data.”
Source: financial services data portal case study
Trusted AI where others
can only claim it.
Fluree unifies and governs data at the semantic layer — the foundation for GenAI that’s trustworthy and production-ready.
Zero Hallucinations
Deterministic answers, grounded in your graph.
- AI issues deterministic queries against a connected knowledge graph — it retrieves, never generates.
- Every response is verifiable against the source data via GraphRAG, not model interpretation.
Why they can't
Traditional RAG feeds raw text chunks to the model and asks it to synthesize an answer. Without structure, semantics, or relationships, the model is forced to infer and fill gaps — leading to hallucinations.
Security & Governance
Policy, provenance, and lineage at the data layer.
- Policy-based access controls are embedded at the data layer, not the application layer.
- Permissions travel with the data — every AI query enforces role-based rules automatically.
Why they can't
Most AI stacks treat security as an application-layer concern — filters and guardrails applied after the fact. Sensitive data leaks into embeddings, vector stores lack row-level controls, and governance becomes a fragile afterthought.
Speed & Quality
One traversal. No multi-hop. No stale vectors.
- Semantic graph resolves complex queries in a single pass — no data integration needed.
- AI receives rich, pre-connected context instead of stitching fragments from siloed systems.
Why they can't
Siloed systems force AI into multi-hop retrieval: query one database, then another, then reconcile conflicts. Each hop adds latency, introduces inconsistency, and degrades output quality.
From Evaluation to Executive Buy-In.
Explore resources designed for executives evaluating AI data platforms.
The 1-minute version.
Everything Fluree does in 60 seconds — knowledge graphs, embedded security, and AI-ready data.
Watch video
The complete guide to retrieval, knowledge graphs & LLMs.
How GraphRAG, semantic layers, and grounded generation replace hallucination-prone RAG pipelines.
Download whitepaper
Named a Cool Vendor. Featured on the Hype Cycle.
Fluree is analyst-recognized for its unique approach to knowledge graphs and AI data governance.
See the researchRun it your way.
The same platform, three deployment patterns — pick by how much you want to operate.
Fluree AI — Hosted, serverless
The hosted Fluree platform at fluree.ai. Scales with demand, free tier, first query in under 30 seconds.
You operate: nothing
Single-tenant AWS
A versioned, self-contained stack deployed entirely inside your own AWS account — for strict isolation requirements.
You operate: the account
Self-hosted FlureeDB
The verifiable knowledge graph database at the core — run it on your own metal, under your own rules.
You operate: everything
Questions, answered.
How is this different from a warehouse plus an AI bolt-on?
Warehouses store tables; AI bolt-ons guess at their meaning. Fluree stores entities, relationships, and policy together, so AI retrieves connected, governed context instead of raw rows — that architecture difference is why answers are citable and permissions can’t be bypassed.
Does it work with the AI we already use?
Yes. Fluree is native to the Model Context Protocol, so Claude, Cursor, and any MCP client can query it as a first-class tool — plus REST and SPARQL. Every client reasons over the same governed graph under the same policies.
What’s the difference between the platform and Fluree AI?
Same platform, two ways to run it. Fluree AI is the hosted path — serverless, free to start, running at fluree.ai. The composable path runs the same foundation wherever you need it, from a single-tenant AWS stack to self-hosted FlureeDB.
How do we start?
Two doors: book a demo and we’ll run the platform live on your use case — or start free in Fluree AI and experience it on your own data, first query in under 30 seconds.
Latest Thinking
Perspectives on knowledge graphs, AI grounding, and the future of enterprise data from the Fluree team.
