Fluree Core Knowledge Graph Intelligent Database
Fluree Sense Structured Data AI Golden Record Pipeline
Fluree CAM Unstructured Data Auto Content Tagging
Fluree ITM Taxonomy Manager Controlled Vocabularies
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Leading Media and Publishing organizations use Fluree to unlock hidden ad revenue from content.
Fluree’s unified AI intelligence platform automatically tags, categorizes, and makes your archival content instantly discoverable and monetizable. Unlock hidden revenue streams and accelerate ad sales with intelligent content classification that works at scale.
Millions in Unmonetized Assets — Your archival library contains decades of premium content that’s invisible to advertisers because it’s untagged, unsearchable, and impossible to package. While competitors monetize their entire libraries, you’re leaving revenue on the table.
Lost Premium Ad Placements — Poor content categorization means you can’t match inventory with advertiser requirements. You’re missing premium CPM opportunities because ad sales teams can’t find contextually perfect content fast enough to close deals.
Manual Tagging Bottlenecks — Content teams spend months manually tagging assets—creating inconsistent metadata that doesn’t align with advertiser needs or brand safety requirements. By the time content is ready, seasonal opportunities have passed.
Brand Safety Risks Block Revenue — Without automated monitoring and rapid response capabilities, brand safety concerns prevent you from selling premium inventory. One scandal can take weeks to address, costing millions in lost ad placements.
Real questions from ad sales and content leaders that their current tools can’t answer:
Fluree doesn’t just tag content. Our agentic AI platform creates unified intelligence across your entire content ecosystem, connecting assets, metadata, business rules, and advertiser requirements in one intelligent system.
The breakthrough: AI agents that understand context across video, audio, and text simultaneously—while respecting your controlled taxonomies and brand safety requirements. This means perfect ad-content matching, faster than humanly possible, at enterprise scale.
Unlike generic AI tagging tools that create chaos with inconsistent metadata, Fluree’s unified intelligence learns your business rules and evolves with your needs—ensuring every asset is monetizable, discoverable, and compliant.
Integrate seamlessly with your existing MAM/DAM systems and content repositories.
No rip-and-replace. Fluree plugs into your current infrastructure—enriching content in place without disrupting workflows or requiring system migration.
AI agents analyze and auto-tag content using your controlled taxonomies and business rules
Our unified knowledge graph connects content attributes, advertiser requirements, and brand safety rules. Agentic AI continuously analyzes your library, extracting entities, concepts, and monetization opportunities automatically.
Enriched content becomes instantly searchable and packageable for ad sales teams.
Revenue teams access a fully tagged, categorized content inventory with intelligent matching to advertiser needs. What was previously invisible becomes your most valuable sellable asset.
Add new content sources, expand use cases, and scale across your organization—without the typical AI project delays.
Key Features Our Customers Love
One platform for all content systems: MAM, DAM, CMS, archival databases—unified instantly with semantic intelligence. No rip-and-replace required.
Tag 100,000+ assets in 24 hours, not months. Transform archival content into monetizable inventory automatically with AI that understands video, audio, and text simultaneously.
Unified knowledge graph connects content attributes with advertiser requirements and brand safety rules. Surface premium placement opportunities your team would never find manually.
AI agents continuously monitor content for brand suitability and regulatory compliance. Reduce risk while enabling premium ad placements with automated safety verification at scale.
AI agents don’t just tag—they think. Surface hidden monetization opportunities, detect emerging trends for ad sales, and automatically identify content perfect for specific advertiser campaigns.
Centrally manage and evolve taxonomies across all content systems. Changes reflect instantly across integrated platforms—ensuring consistency, discoverability, and monetization readiness.
Ad sales teams find exactly what they need using plain English queries. No complex tagging syntax required—just ask and get instant, accurate results across your entire library.
Get instant insights from live content analysis. No batch processing delays—query current inventory, brand safety status, and monetization opportunities on the latest information.
The Challenge:
Millions of hours of archival content sit untagged and invisible to advertisers, representing untapped revenue that ad sales teams can’t package or sell.
With Fluree:
“What archival content can be packaged for our automotive advertiser’s summer campaign?” Instantly surface all relevant clips with cars, road trips, outdoor scenes—fully tagged with subjects, products, and time codes for precise ad marker placement.
The Impact:
Unlock 30-40% more sellable ad inventory from previously unmonetized archives, creating new revenue streams without producing new content.
A celebrity scandal breaks, and you need to immediately review or remove all programming featuring that person—but manual searches take days while brand risk compounds.
“Find all content featuring [specific celebrity] that needs review for brand safety.” Get instant results across your entire library with AI-verified accuracy. Filter by show, episode, time range, and context to prioritize review and protect advertiser relationships.
Respond to brand safety issues in hours instead of days, protecting premium ad placements and maintaining advertiser trust during critical situations.
An advertiser requests specific content themes and contexts for their campaign, but manual searches through your library miss perfect matches and delay deal closure.
“Show me all clips featuring outdoor activities in natural settings, excluding extreme sports, suitable for a wellness brand.” AI understands nuanced requirements and surfaces contextually perfect content matches—filtered for brand suitability and ready to package.
Close deals faster with custom content packages that perfectly match advertiser needs, commanding premium CPMs for contextually relevant placements.
Valuable content remains buried in your archive because it lacks proper metadata and SEO tags, missing digital monetization and audience engagement opportunities.
“Auto-discover and tag content related to [trending topic] for digital curation and SEO optimization.” AI automatically extracts relevant topics, entities, and keywords—creating rich metadata that improves discoverability and drives digital ad revenue.
Increase digital content engagement by 25-35% through improved SEO and discoverability, driving programmatic ad revenue from previously hidden assets.
Seasonal campaigns and special programming require finding thematically relevant content across your entire library—a manual process that takes weeks and misses revenue windows.
“What content features Thanksgiving themes, family gatherings, or holiday meals suitable for a food brand’s November campaign?” Get instant results across series, movies, and clips with precise time stamps—enabling rapid campaign assembly for seasonal revenue opportunities.
Capitalize on high-value seasonal advertising windows with ready-to-sell content packages, maximizing CPMs during peak demand periods.
No. Fluree creates a unified intelligence layer over your existing content systems—DAM, MAM, CMS, and archival platforms stay exactly where they are. Your content doesn’t move; Fluree enriches it in place with AI-powered metadata and taxonomies.
Generic AI tools create chaos with inconsistent tags. Fluree combines AI with controlled taxonomies and your business rules—ensuring every tag aligns with your metadata standards, brand safety requirements, and advertiser needs. Our unified knowledge graph connects content attributes with monetization opportunities automatically.
Fluree’s AI agents continuously monitor content against your brand safety rules and compliance requirements. When issues arise—like a celebrity scandal—you can instantly identify all affected content across your entire library and take action in hours, not days, protecting premium ad relationships.
Absolutely. You maintain complete control over your taxonomies, vocabularies, and business rules. Fluree’s dynamic taxonomy management lets you evolve classifications over time—with changes automatically reflected across all integrated systems and previously tagged content.
Most media organizations see tagged, searchable content within days of implementation. We can process 100,000+ assets in 24 hours, with full production deployment typically completed in 30 days. Ad sales teams can start packaging newly accessible inventory immediately.
No. Ad sales and content teams can search using natural language queries—no complex tagging syntax required. Your technical team sets up the semantic layer and integrations once, then business users self-serve with instant, accurate content discovery.
Fluree automatically re-tags content when taxonomies change or new assets are added. Our agentic AI continuously monitors for updates, ensuring your entire library stays current without manual intervention. Add 10,000 new clips? They’re tagged and monetizable overnight.
Fluree offers flexible pricing based on content volume and SLA requirements—designed for unlimited users and terminologies. Most media organizations see ROI within the first quarter through increased ad inventory utilization and premium placement opportunities. Contact us for a customized assessment.
Contact Our Team to Request a Demo
Fluree delivers AI-driven content classification and unified knowledge graph technology for media organizations looking to make content findable, accessible, and monetizable at scale.
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Reducing hallucinations and increasing accuracy for enterprise production Generative AI through the use of Knowledge Graph RAG (Retrieval Augmented Generation).
Giving LLMs and GenAI Applications access to context and knowledge accumulated by your organization is the single most powerful way to accomplish accuracy and precision at scale.
Everything You Need to Know About Retrieval Augmented Generation, Knowledge Graphs and LLMS
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Semantic Partners, with its headquarters in London and a team across Europe and the US, is known for its expertise in implementing semantic products and data engineering projects. This collaboration leverages Fluree’s comprehensive suite of solutions, including ontology modeling, auto-tagging, structured data conversion, and secure, trusted knowledge graphs.
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Report: Decentralized Knowledge Graphs Improve RAG Accuracy for Enterprise LLMs
Fluree just completed a report on reducing hallucinations and increasing accuracy for enterprise production Generative AI through the use of Knowledge Graph RAG (Retrieval Augmented Generation). Get your copy by filling out the form below.
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Fluree is integrated with AWS, allowing users to build sophisticated applications with increased flexibility, scalability, and reliability.
Semiring’s natural language processing pipeline utilizes knowledge graphs and large language models to bring hidden insights to light.
Industry Knowledge Graph LLC is a company that specializes in creating and utilizing knowledge graphs to unlock insights and connections within complex datasets, aiding businesses in making informed decisions and optimizing processes.
Cobwebb specializes in providing comprehensive communication and networking solutions, empowering businesses with tailored services to enhance efficiency and connectivity.
Deploy and Manage Fluree Nodes on Zeeve’s Cloud Infrastructure.
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Sinisana provides food traceability solutions, built with Fluree’s distributed ledger technology.
Lead Semantics provides text-to-knowledge solutions.
TextDistil, powered by Fluree technology, targets the cognitive corner of the technology landscape. It is well-positioned to deliver novel functionality by leveraging the power of Large Language Models combined with the robust methods of Semantic Technology.
Project Logosphere, from Ikigai, is a decentralized knowledge graph that empowers richer data sets and discoveries.
Cibersons develops and invests in new technologies, such as artificial intelligence, robotics, space technology, fintech, blockchain, and others.
Powered by Fluree, AvioChain is an aviation maintenance platform built from the ground up for traceability, security, and interoperability.
Thematix was founded in 2011 to bring together the best minds in semantic technologies, business and information architecture, and traditional software engineering, to uniquely address practical problems in business operations, product development and marketing.
Opening Bell Ventures provides high-impact transformational services to C-level executives to help them shape and successfully execute on their Omni-Channel Digital Strategies.
Datavillage enables organizations to combine sensitive, proprietary, or personal data through transparent governance. AI models are trained and applied in fully confidential environments ensuring that only derived data (insights) is shared.
Vitality Technet has partnered with Fluree to accelerate drug discovery processes and enable ongoing collaboration across internal departments, external partners, and regulatory offices through semantics, knowledge graphs, and digital trust technologies.
SSB Digital is a dynamic and forward-thinking IT company specializing in developing bespoke solutions tailored to meet the unique needs and challenges of clients, ranging from predictive analytics and smart automation to decentralized applications and secure transactions.
Marzex is a bespoke Web3 systems development firm. With the help of Fluree technology, Marzex completed one of the first successful blockchain-based online elections in history.
Semantic Arts delivers data-centric transformation through a model-driven, semantic knowledge graph approach to enterprise data management.
Intigris, a leading Salesforce implementation partner, has partnered with Fluree to help organizations bridge and integrate multiple Salesforce instances.
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Partner, Analytic Strategy Partners; Frederick H. Rawson Professor in Medicine and Computer Science, University of Chicago and Chief of the Section of Biomedical Data Science in the Department of Medicine
Robert Grossman has been working in the field of data science, machine learning, big data, and distributed computing for over 25 years. He is a faculty member at the University of Chicago, where he is the Jim and Karen Frank Director of the Center for Translational Data Science. He is the Principal Investigator for the Genomic Data Commons, one of the largest collections of harmonized cancer genomics data in the world.
He founded Analytic Strategy Partners in 2016, which helps companies develop analytic strategies, improve their analytic operations, and evaluate potential analytic acquisitions and opportunities. From 2002-2015, he was the Founder and Managing Partner of Open Data Group (now ModelOp), which was one of the pioneers scaling predictive analytics to large datasets and helping companies develop and deploy innovative analytic solutions. From 1996 to 2001, he was the Founder and CEO of Magnify, which is now part of Lexis-Nexis (RELX Group) and provides predictive analytics solutions to the insurance industry.
Robert is also the Chair of the Open Commons Consortium (OCC), which is a not-for-profit that manages and operates cloud computing infrastructure to support scientific, medical, health care and environmental research.
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Founder, DataStraits Inc., Chief Revenue Officer, 3i Infotech Ltd
Sudeep Nadkarni has decades of experience in scaling managed services and hi-tech product firms. He has driven several new ventures and corporate turnarounds resulting in one IPO and three $1B+ exits. VC/PE firms have entrusted Sudeep with key executive roles that include entering new opportunity areas, leading global sales, scaling operations & post-merger integrations.
Sudeep has broad international experience having worked, lived, and led firms operating in US, UK, Middle East, Asia & Africa. He is passionate about bringing innovative business products to market that leverage web 3.0 technologies and have embedded governance risk and compliance.
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CEO, Data4Real LLC
Julia Bardmesser is a technology, architecture and data strategy executive, board member and advisor. In addition to her role as CEO of Data4Real LLC, she currently serves as Chair of Technology Advisory Council, Women Leaders In Data & AI (WLDA). She is a recognized thought leader in data driven digital transformation with over 30 years of experience in building technology and business capabilities that enable business growth, innovation, and agility. Julia has led transformational initiatives in many financial services companies such as Voya Financial, Deutsche Bank Citi, FINRA, Freddie Mac, and others.
Julia is a much sought-after speaker and mentor in the industry, and she has received recognition across the industry for her significant contributions. She has been named to engatica 2023 list of World’s Top 200 Business and Technology Innovators; received 2022 WLDA Changemaker in AI award; has been named to CDO Magazine’s List of Global Data Power Wdomen three years in the row (2020-2022); named Top 150 Business Transformation Leader by Constellation Research in 2019; and recognized as the Best Data Management Practitioner by A-Team Data Management Insight in 2017.
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Senior Advisor, Board Member, Strategic Investor
After nine years leading the rescue and turnaround of Banco del Progreso in the Dominican Republic culminating with its acquisition by Scotiabank (for a 2.7x book value multiple), Mark focuses on advisory relationships and Boards of Directors where he brings the breadth of his prior consulting and banking/payments experience.
In 2018, Mark founded Alberdi Advisory Corporation where he is engaged in advisory services for the biotechnology, technology, distribution, and financial services industries. Mark enjoys working with founders of successful businesses as well as start-ups and VC; he serves on several Boards of Directors and Advisory Boards including MPX – Marco Polo Exchange – providing world-class systems and support to interconnect Broker-Dealers and Family Offices around the world and Fluree – focusing on web3 and blockchain. He is actively engaged in strategic advisory with the founder and Executive Committee of the Biotechnology Institute of Spain with over 50 patents and sales of its world-class regenerative therapies in more than 30 countries.
Prior work experience includes leadership positions with MasterCard, IBM/PwC, Kearney, BBVA and Citibank. Mark has worked in over 30 countries – extensively across Europe and the Americas as well as occasional experiences in Asia.
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Chair of the Board, Enterprise Data Management Council
Peter Serenita was one of the first Chief Data Officers (CDOs) in financial services. He was a 28-year veteran of JPMorgan having held several key positions in business and information technology including the role of Chief Data Officer of the Worldwide Securities division. Subsequently, Peter became HSBC’s first Group Chief Data Officer, focusing on establishing a global data organization and capability to improve data consistency across the firm. More recently, Peter was the Enterprise Chief Data Officer for Scotiabank focused on defining and implementing a data management capability to improve data quality.
Peter is currently the Chairman of the Enterprise Data Management Council, a trade organization advancing data management globally across industries. Peter was a member of the inaugural Financial Research Advisory Committee (under the U.S. Department of Treasury) tasked with improving data quality in regulatory submissions to identify systemic risk.
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Turn Data Chaos into Data Clarity
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Pawan came to Fluree via its acquisition of ZettaLabs, an AI based data cleansing and mastering company.His previous experiences include IBM where he was part of the Strategy, Business Development and Operations team at IBM Watson Health’s Provider business. Prior to that Pawan spent 10 years with Thomson Reuters in the UK, US, and the Middle East. During his tenure he held executive positions in Finance, Sales and Corporate Development and Strategy. He is an alumnus of The Georgia Institute of Technology and Georgia State University.
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Andrew “Flip” Filipowski is one of the world’s most successful high-tech entrepreneurs, philanthropists and industry visionaries. Mr. Filipowski serves as Co-founder and Co-CEO of Fluree, where he seeks to bring trust, security, and versatility to data.
Mr. Filipowski also serves as co-founder, chairman and chief executive officer of SilkRoad Equity, a global private investment firm, as well as the co-founder, of Tally Capital.
Mr. Filipowski was the former COO of Cullinet, the largest software company of the 1980’s. Mr. Filipowski founded and served as Chairman and CEO of PLATINUM technology, where he grew PLATINUM into the 8th largest software company in the world at the time of its sale to Computer Associates for $4 billion – the largest such transaction for a software company at the time. Upside Magazine named Mr. Filipowski one of the Top 100 Most Influential People in Information Technology. A recipient of Entrepreneur of the Year Awards from both Ernst & Young and Merrill Lynch, Mr. Filipowski has also been awarded the Young President’s Organization Legacy Award and the Anti-Defamation League’s Torch of Liberty award for his work fighting hate on the Internet.
Mr. Filipowski is or has been a founder, director or executive of various companies, including: Fuel 50, Veriblock, MissionMode, Onramp Branding, House of Blues, Blue Rhino Littermaid and dozens of other recognized enterprises.
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Brian is the Co-founder and Co-CEO of Fluree, PBC, a North Carolina-based Public Benefit Corporation.
Platz was an entrepreneur and executive throughout the early internet days and SaaS boom, having founded the popular A-list apart web development community, along with a host of successful SaaS companies. He is now helping companies navigate the complexity of the enterprise data transformation movement.
Previous to establishing Fluree, Brian co-founded SilkRoad Technology which grew to over 2,000 customers and 500 employees in 12 global offices. Brian sits on the board of Fuel50 and Odigia, and is an advisor to Fabric Inc.
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Eliud Polanco is a seasoned data executive with extensive experience in leading global enterprise data transformation and management initiatives. Previous to his current role as President of Fluree, a data collaboration and transformation company, Eliud was formerly the Head of Analytics at Scotiabank, Global Head of Analytics and Big Data at HSBC, head of Anti-Financial Crime Technology Architecture for U.S.DeutscheBank, and Head of Data Innovation at Citi.
In his most recent role as Head of Analytics and Data Standards at Scotiabank, Eliud led a full-spectrum data transformation initiative to implement new tools and technology architecture strategies, both on-premises as well as on Cloud, for ingesting, analyzing, cleansing, and creating consumption ready data assets.
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Get the right data into the right hands.
Build your Verifiable Credentials/DID solution with Fluree.
Wherever you are in your Knowledge Graph journey, Fluree has the tools and technology to unify data based on universal meaning, answer complex questions that span your business, and democratize insights across your organization.
Build real-time data collaboration that spans internal and external organizational boundaries, with protections and controls to meet evolving data policy and privacy regulations.
Fluree Sense auto-discovers data fitting across applications and data lakes, cleans and formats them into JSON-LD, and loads them into Fluree’s trusted data platform for sharing, analytics, and re-use.
Transform legacy data into linked, semantic knowledge graphs. Fluree Sense automates the data mappings from local formats to a universal ontology and transforms the flat files into RDF.
Whether you are consolidating data silos, migrating your data to a new platform, or building an MDM platform, we can help you build clean, accurate, and reliable golden records.
Our enterprise users receive exclusive support and even more features. Book a call with our sales team to get started.
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