Fluree is an open-source semantic graph database that utilizes distributed ledger technology to ensure data integrity and traceability while embedding programmable security policies for real-time governance. It enables enterprises to manage trusted data for AI applications, ensuring compliance with privacy regulations and reducing errors in data sharing.
Funding
$28.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
Enterprises struggle to manage data for AI applications due to concerns about data integrity, traceability, security, and compliance with privacy regulations. Traditional data management systems lack the built-in governance and real-time policy enforcement needed to ensure trusted and verifiable data for AI. This can lead to errors in data sharing and hinder the development of accurate and reliable AI models.
Solution
Fluree offers a semantic graph database that combines digital trust, identity and access policy, and semantic ontologies into a single data system. By leveraging distributed ledger technology, Fluree ensures data integrity and traceability while embedding programmable security policies for real-time governance. This allows enterprises to build accurate, intelligent enterprise language models by creating a secure and verifiable enterprise corpus of data that can be connected with industry and market data.
Target Audience
Fluree targets enterprises that require secure, trusted, and reusable data for AI applications, data fabric implementations, knowledge graph construction, data cataloging, decentralized data management, and master data management.
Features
- Semantic graph database built on semantic web standards (RDF, OWL, SPARQL, JSON-LD)
- Distributed ledger technology for data integrity and verifiable history of all data updates
- Embedded read & write access control policies at the data tier
- Intelligent Taxonomy Manager (ITM) for building and maintaining controlled vocabularies and ontologies
- AI-powered data transformation (Fluree Sense) for classifying, cleaning, and mapping structured data
- Content Auto-Tagging Manager (CAM) for transforming unstructured digital assets into knowledge
- Support for FAIR data principles (Findable, Accessible, Interoperable, and Reusable)