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    Your data is worth more than you’re getting from it.

    Financial institutions generate billions of data points daily — analyst research, market intelligence, transaction patterns, risk signals, compliance history. Most of it sits in silos, invisible to the teams that need it most. Fluree connects fragmented data into a governed intelligence layer — then helps you package it as licensable products with full lineage and zero hallucination risk.

    What Is Data Monetization

    97% of enterprise data never makes it into a decision.

    Your 300+ data silos already contain the intelligence your teams need — analyst research, risk models, transaction patterns, compliance benchmarks, customer behavior signals. Analysts lose 40% of their time finding and reconciling it before any analysis even begins.

    The gap isn’t the data itself. It’s the infrastructure to connect it, govern it, and make it queryable — so analysts, risk teams, and operations leaders can act on it instead of spending months assembling it. Once internal users have that foundation, the same governed products can be sold externally.

    Every financial institution sits on proprietary intelligence. Very few have the architecture to turn it into a recurring revenue line.

    How it works

    Three steps.
    One platform.

    From a raw source to a governed knowledge graph — with answers that trace back to the row they came from.

    Step 1Connect 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
    Step 2The graph builds itself.

    Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.

    CustomerOrderProductContractOwner
    Step 3Answers, 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
    What Financial Data Products Look Like

    Four shapes of monetized intelligence.

    From internal data marketplaces to client-facing AI agents, here are the concrete product forms financial institutions build on Fluree’s governed intelligence layer.

    Internal data marketplaces

    Transform siloed departmental data into discoverable, queryable products. Business units buy and sell access with metering, access controls, and usage analytics.

    AI-powered decision agents

    Deploy intelligent agents that answer client questions against your proprietary data — with sourced, verifiable responses from governed research and analytics.

    Client-facing analytics

    Package proprietary research, market intelligence, benchmarks, and risk models as premium offerings delivered via API, dashboard, or natural language query.

    Regulatory & compliance products

    Monetize your compliance infrastructure with audit-ready reporting, regulatory change tracking, and traceable analytics sold to firms facing the same rules.

    Why Fluree For Data Monetization

    Six properties that turn raw data into sellable products.

    Every answer traces to source — clients can verify every number

    Paying clients expect every number and every AI-generated insight to trace back to source. GraphRAG delivers sourced, provable answers instead of best guesses — so subscribers renew because they trust what they’re paying for.

    • GraphRAG — traversal over declared paths, not fuzzy similarity
    • Full source citations under every answer
    • Methodology auditable by clients and regulators
    The Revenue Trajectory

    Internal marketplace → pilot products → commercial launch → platform.

    A phased path that proves value internally before you externalize — and compounds once clients start paying.

    Phase 1

    Internal marketplace

    0–3 months

    Unify internal data, publish governed products for internal users, and identify which assets drive the most value.

    Phase 2

    Pilot data products

    3–6 months

    Package two or three high-value products for pilot clients. Validate pricing, usage patterns, and willingness to pay.

    Phase 3

    Commercial launch

    6–12 months

    Launch with tiered pricing, API access, MCP connectivity, and usage-based delivery. Expand based on real pilot demand.

    Phase 4

    Platform economics

    12+ months

    Recurring revenue compounds, client feedback drives new products, and the data business becomes a durable revenue line.

    In Production

    Live at a Fortune 500 financial services firm.

    FAQ

    Recognized by Gartner

    Gartner Cool Vendor in Data Management for GenAI, 2024Featured in the Gartner Hype Cycle
    Your competitors are selling their data

    Less than 3% of enterprise data is monetized. What are you waiting for?

    Fluree turns your proprietary intelligence into governed, licensable data products — with verifiable AI accuracy, embedded access control, and full audit trails.