17.5 ms
23
Banking
One trusted record for every customer.
A community bank with 113 branches unified three to five competing reporting systems, so bankers can reach out before customers ask.
330,000+golden customer records
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The enterprise AI
context layer.
Trusted, governed context for every agent and model.
Fluree turns fragmented enterprise data into answers you can trace back to the source, under the policy that applies.
Trusted by
How Fluree solves the context problem.
One governed layer between your data estate and everything that asks questions of it.
Lakes, apps and documents, kept current.
Fluree reads lakehouse tables in place, connects to your apps, and extracts facts from documents, audio and video.
All of it, in one product.
Fluree AI turns your structured and unstructured data into one knowledge graph, governed by your ontology. Policy travels with every fact and every answer comes with receipts, so people and agents can trust it with real work.
Your workAgents, apps, people
AgentsAppsPeople
Fluree AIThe context layerYour dataRead in place
Documents & mediaLakehouseDatabases & filesBusiness apps
Here’s where it shows: accuracy, security, speed and cost.
Fluree is different. Different is good.
Share of answers correct, on the same questions and data
8–15%Raw relational tables
60–65%Knowledge graph
80–90%Enriched graph
95%+Governed graphs, joined
Same question. Same answer.
The model writes the query and the graph returns the facts, with citations. In Fluree’s 2024 study, accuracy rose from 8–15% on raw tables to above 95%.
Where it goes to work.
FoundationActivation
Foundation
Enterprise knowledge graph
Connect every system into one governed graph of the business.
ExploreHelping organizations build durable, operational context since before AI.
In production on hard data problems since 2018. Here is what that looks like.
Pharmaceutical
AI-ready data in weeks, not months.
A $2B+ pharmaceutical company consolidated more than 10 warehouses and took new analytics use cases from nine months to three weeks.
$3Mmanual remediation cost removed
Consumer goods
A product catalog AI can trust.
A Global 500 CPG company resolved five product sources into golden records in three weeks, and found 48% of its records were duplicates.
97.5%catalog accuracy
Financial services
Research people can actually find.
A global financial services leader replaced manual tagging with AI tagging against its own ontology, and grew its research portal tenfold.
10xknowledge base growth
Environmental science
Thirty years of field data, ready for AI.
A government department unified decades of species records and field documents into one governed graph, with sensitive species protected by policy.
6M+species records unified
Beauty and cosmetics
A governed factory for marketing agents.
A global beauty brand turned scattered marketing, product and social knowledge into one governed graph its AI agents answer from.
5agent factory functions
Our POV
All resourcesLatest thoughts from the Fluree team
Why do agents fail without a context layer?
What a context layer is, the four tiers of enterprise context, and where most stacks stop.
Read the GuideWhy AI needs a knowledge graph
The model sets the floor and the graph sets the ceiling. Why grounding beats a bigger prompt.
Read the GuideAgent TCO: the tokenomics of enterprise AI
The five-year token bill for file-based agents versus agents on a governed graph, with the model.
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