Fluree AI Enterprise AI Data Intelligence
Fluree Core Knowledge Graph Intelligent Database
Fluree Sense Structured Data AI Data Cleansing
Fluree CAM Unstructured Data Auto Content Tagging
Fluree ITM Taxonomy Manager Controlled Vocabularies
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Fluree EMEA 18, rue de Londres 76009 Paris, France
Banks are using Fluree to unify siloed data across core, loan, and ancillary systems—creating an AI-ready foundation that makes bankers smarter without replacing the systems that work.
Your Core Wasn’t Built for AI — Your core banking system was installed before the iPhone existed. Your board wants AI insights, but your data lives in silos that don’t talk to each other. The technology gap widens every quarter.
Scattered Data, Incomplete Picture — Customer data lives across 3-5 reporting systems that compete with each other for the same answer. Your loan officers toggle between 4 screens to get a complete customer view—and still miss the full relationship.
Fintechs Are Winning — 44% of new checking accounts now go to digital banks and fintechs. You’re losing the next generation of customers while waiting for a modernization project you can’t afford to start.
Two Bad Options — Replace your core (18-24 months, $2-5M+, massive risk) or do nothing and fall further behind. Neither works for a community bank with real constraints.
Real questions from community bank leaders that their current tools can’t answer:
Fluree doesn’t replace your core banking system. It creates a semantic layer on top of it—unifying data from your core, your LOS, your document management, and your ancillary systems into a single, AI-ready knowledge graph.
Named a Gartner Cool Vendor for AI in Data Management, Fluree delivers what traditional systems can’t: a unified foundation for AI and analytics that implements in weeks, not years.
Jack Henry, Fiserv, FIS, or legacy systems—Fluree integrates with what you have. Your data doesn’t move; Fluree connects to it.
Plug into your core, LOS, document management, and ancillary systems via standard APIs. No rip-and-replace. No complex custom integration required.
Semantic intelligence understands relationships between customers, accounts, loans, and properties—creating a unified view across all systems instantly.
Build conversational analytics and AI-assisted intelligence immediately.
Production-ready in 4-8 weeks. Start getting real answers to business-critical questions immediately—with full auditability for regulators.
Add new data sources, expand use cases, and scale across your organization—without the typical AI project delays.
Key Features Community Banks Love
One platform for all banking data: core, LOS, document management, treasury systems—unified instantly with semantic intelligence.
Zero hallucinations. Every insight fully grounded in your verified data with complete lineage and explainability.
Embedded policies ensure data never leaks to unauthorized users or LLMs. Maintain compliance across banking operations
Deploy production AI in 4-8 weeks, not months. Most banks are running queries within the first month.
Get instant insights from live data across all systems.
Ask questions in plain English. No SQL required.
Every data access and change is logged and queryable—exactly what examiners want to see. Built for regulated industries from the ground up.
Use conversational analytics to build live, query-driven dashboards. No more waiting for answers.
The Challenge:
Your customer data lives across 3-5 reporting systems that compete with each other for the same answer. When data conflicts, which system do you trust? Without clean data, you can’t understand who your customers really are.
With Fluree:
“Show me a complete, verified view of every customer relationship—deposits, loans, family connections, business affiliations—unified into one golden record.” Build accurate, trusted customer records that become the foundation for everything else.
The Impact:
A single source of truth across the enterprise. Clean data from first interaction. The foundation for proactive customer service.
“Fluree helps us with Master Data Management by getting quality into and out of our information. The more quality we have within our data, the more we can help anticipate the needs of our customers.”
— Brent Wilke, Chief Data Officer, First Bank (Nasdaq: FBNC)
Your credit team manually pulls data from 3 systems to build concentration reports. It takes 2 days and errors happen. Running stress scenarios? Add another week. Examiners are asking questions faster than you can answer them.
“What’s our total CRE exposure over $500K in downtown markets with LTV above 75%?” Get instant, accurate answers. Run stress scenarios in minutes, not days. Query your entire portfolio in plain English.
Credit officers spend time on analysis, not data gathering. Identify concentration risks before they become examiner findings.
Your loan officer doesn’t know the customer they’re talking to also has $2M in deposits and a son who just started a business. Cross-sell opportunities slip through the cracks every day.
“Which business customers should we reach out to about a purchasing card based on their spending patterns?” Every customer touchpoint unified in one view. AI identifies patterns and suggests proactive outreach opportunities before customers ask.
Deepen relationships with customers you already have instead of fighting fintechs for new ones.
“Fluree’s processes assist us in understanding our unique customer base. This allows us to be proactive in assisting the customer in their needs by viewing their interaction with our products.”
— Brent Wilke, Chief Data Officer, First Bank
Crossing $500M, $1B, or $10B means new reporting requirements. Your team is already stretched. When examiners ask questions, “the AI said so” won’t cut it—you need answers you can defend with full data lineage.
“Show me the complete audit trail for this BSA alert, including every data source and decision point.” Build once, report forever. FDICIA prep, CRA reporting, BSA/AML monitoring—all from the same unified data foundation with immutable audit trails.
Scale your reporting capabilities without scaling your compliance team. Give examiners the auditability they demand—every answer traceable to source data.
You just acquired a bank. Now you have two cores, two loan systems, two of everything. Integration estimates: 18 months minimum. Meanwhile, you’re flying blind on the combined customer base.
“Show me all customer relationships across both institutions, unified by household.” Create a unified data layer across both banks immediately. Keep both cores running while you plan a careful migration—or don’t migrate at all.
Day-one insights from combined data, without day-one system risk. Identify cross-sell opportunities across the merged customer base immediately.
No. Fluree creates a semantic layer over your existing systems—your core, LOS, and ancillary systems stay exactly where they are. Your data doesn’t move; Fluree connects to it and unifies it for AI and analytics.
Most community banks are running initial queries within 4-6 weeks. Full deployment typically takes 8-12 weeks depending on the number of source systems—significantly faster than traditional core replacement projects that take 18-24 months.
No. Fluree is designed for business users. Your credit analysts and loan officers can query data in natural language without writing code or waiting for technical teams.
Start with your data foundation, not the AI itself. Fluree unifies your existing data from core, LOS, and ancillary systems into an AI-ready knowledge graph—no core replacement required. From there, your team can query data in natural language and get trustworthy, auditable answers. Most community banks are live within 8-12 weeks without needing to hire data scientists or AI specialists.
Fluree’s AI can only access actual data relationships that exist in your unified data layer—no hallucinations, no made-up information. Every answer is 100% grounded in your verified operational data with complete lineage, so you can defend answers to regulators.
Fluree’s immutable audit trail and semantic architecture are designed for regulated industries. Every data access and change is logged and queryable—exactly what examiners want to see for FDICIA, CRA, and BSA/AML compliance.
Core vendor solutions like Jack Henry, Fiserv, or FIS are typically limited to data within their ecosystem. Fluree unifies data across your core, LOS, document management, and any other systems—giving you the complete picture across all 4-8 systems most banks operate.
30-minute demo tailored to your bank’s systems. Talk to a banking specialist, not a generic sales rep.
Get Started
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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