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    Trusted AI for Policy-Driven Data Environments

    Unify records, entities, and mission context while enforcing data-centric security across classified, unclassified, and shared workflows.

    The Challenge

    01

    Siloed intelligence

    Mission context lives across records, systems, and teams that do not share structure or access rules.

    02

    Security fragmentation

    Each application reimplements access logic, increasing risk and slowing deployment.

    03

    Low-confidence AI

    Untraceable outputs are unusable in operational and oversight-heavy environments.

    Industry visual

    What You Can Build
    01

    Use case 01

    Entity and network analysis

    Connect people, places, events, and assets

    Model operational relationships across reports, records, and external signals to accelerate analyst workflows without losing provenance.

    4x faster analysisMore context per investigation
    02

    Use case 02

    Mission knowledge layer

    Share context safely

    Create a governed semantic layer that different teams can query through their own security lens instead of duplicating data and logic.

    One retrieval layerZero-trust by design
    03

    Use case 03

    Records and oversight

    Prove lineage with every answer

    Track how reports, records, and decisions were connected so teams can support oversight, FOIA, and compliance workflows more efficiently.

    Audit-ready lineageLower review friction
    04

    Use case 04

    Policy-aware AI assistants

    Deploy trustworthy copilots

    Power assistants that retrieve the right context, respect access controls, and explain where each answer came from.

    Safer assistant rolloutMission-aligned AI

    Live workflow

    Entity and network analysis

    Entity resolution graph
    Event-to-location mapping
    Source-backed relationship view

    "

    Fluree gave us a path to operational AI that respects both mission speed and the realities of data governance.

    Program lead, federal mission environment

    How It Works

    01

    Connect

    Bring in core systems, event streams, and files without forcing teams into a new stack.

    02

    Unify

    Model relationships automatically so teams can trace how entities connect across systems.

    03

    Deploy

    Power copilots, analyst workflows, and governed AI on top of trusted graph context.

    Works alongside PalantirWorks alongside ServiceNowWorks alongside AWS GovCloudWorks alongside Databricks
    Customer Story

    Customer story

    A government team deployed a governed context layer for mission support workflows

    Instead of stitching logic into every app, the team centralized graph context and policy enforcement so analysts and tools could work from the same trusted source.

    Shared governed context
    Fewer duplicated controls
    Explainable outputs

    See How Government Teams Use Fluree

    Deploy trusted AI on top of a policy-aware graph designed for high-stakes environments.

    Discuss mission architecture