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    AI-Ready Data

    AI-Ready Data OverviewStructured DataUnstructured DataModel & Taxonomy Governance

    Fluree Platform

    Platform OverviewFluree AI

    Foundation

    Get your data AI-ready

    Enterprise Knowledge GraphGolden RecordsEntity ResolutionSemantic LayerAI Data Preparation

    Activation

    Put intelligence to work

    GraphRAGConversational AnalyticsEnterprise AI SearchDecision IntelligenceAI Agent Governance
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    AI-Ready Data

    Make Your Data AI-Ready

    Fluree is the AI-ready data platform that connects your systems where they live and turns them into a semantically modeled, governed, traceable data foundation your AI agents can trust.

    Where does your data live today?

    Book a DemoOr run it in Fluree AI

    Pick your sources and we’ll shape the demo around them — no generic walkthrough.

    The Problem

    Your data was built for dashboards. AI reads it raw.

    Traditional platforms optimize data for people reading dashboards. AI agents consume data directly — and inherit every silo, every duplicate, and every undocumented meaning as confident errors.

    7%

    of enterprises say their data is completely ready for AI

    56%

    cite siloed data as the top obstacle to AI readiness

    73%

    say AI data quality deserves more priority than it gets

    Source: Cloudera & Harvard Business Review Analytic Services, March 2026.

    Three On-Ramps

    Bring every kind of data.

    Whatever shape your data is in, it lands in the same governed knowledge graph.

    “By providing AI-driven workflows that can scale to millions of records, Fluree Sense provides crucial input for Master Data Management, leading to not only a satisfied customer base, but to a customer-centric, empowered tomorrow.”

    Chief Data Officer — community bank · 330,000+ customers unified across 113 branches

    Read the case study
    Side by Side

    Traditional data platform vs.
    an AI-ready data platform.

    A traditional platform stores and serves data for people. An AI-ready data platform makes data discoverable, governed, and verifiable for agents at query time. Every row below is a mechanism, not an adjective.

    Capability

    Traditional

    Traditional data platform

    Fluree

    Fluree

    Built for

    People reading dashboards
    AI agents, search, and analytics alike

    Security model

    Perimeter + per-app permissions
    Policy enforced at query time, in the engine

    Retrieval

    SQL, or keyword-only search
    Graph traversal + full-text + vectors in one pass

    Schema

    Proprietary, per-warehouse
    W3C standards — RDF, JSON-LD, SPARQL 1.1

    Agent access

    Custom API glue per project
    Native MCP server, GraphRAG, SPARQL

    Lineage

    Opaque transforms, best-effort docs
    Provenance to the source record on every fact

    Getting data in

    Bulk ETL migration projects
    Connect in place — 300+ connectors

    Unstructured content

    A separate document silo
    Same graph, same governance as structured data

    The engine underneath ranked first overall on the SPARQLoscope DBLP benchmark.

    Skip the setup — run it in Fluree AI.

    Fluree AI is the hosted Fluree platform — we run the infrastructure, you drop your data in. Auto-tagged, cleansed, and connected, ready to query.

    Explore Fluree AI
    FAQ

    No. Fluree connects to sources where they live through 300+ connectors — nothing is bulk-migrated first. Master data and decision-critical facts persist in the graph; high-volume operational detail stays in source systems and remains queryable.

    Most teams have a first governed use case live in 4–8 weeks. In one published case, a Global 500 CPG company reached 97.5% product-data accuracy across five sources in three weeks.

    Through the platform's native MCP server, GraphRAG retrieval, and SPARQL — with the same query-time policy enforcement people get. Agents inherit data-layer permissions automatically; no prompt injection can bypass graph governance.

    Test six things: entity resolution across systems, machine-readable vocabulary, unstructured coverage, freshness, lineage, and permission inheritance. Our AI-ready data guide includes the full self-assessment.

    New to the concept? The full guide covers the definition, the six characteristics, and a readiness self-assessment.

    Read the AI-Ready Data guide

    Recognized by Gartner

    Gartner Cool Vendor in Data Management for GenAI, 2024Featured in the Gartner Hype Cycle
    Get your data ready

    Tell us where your data lives.

    Connect in place, human approval at every promotion gate, and a first governed use case typically live in 4–8 weeks. Pick your sources and we’ll shape the demo around them.

    Book a DemoOr run it in Fluree AI