Fluree AI

Fluree AI serves as an enterprise AI data platform and a verifiable knowledge graph database, designed to unify fragmented information into a single "source of truth." It combines immutability, security, and semantic graph capabilities to empower zero-hallucination AI agents, advanced analytics, and secure decentralized data sharing. The core problem Fluree AI addresses is the challenge of AI systems and applications struggling with data accuracy and context. Traditional approaches often lead to hallucinated information, inconsistent data across silos, and context that resets with each interaction. Fluree AI provides a unified intelligence layer to overcome these limitations, ensuring that AI agents and applications operate with reliable and verifiable data. Key features include the ability to ingest and classify diverse data types, from structured CSVs and databases to unstructured documents. Fluree automatically connects the dots within this data, building a self-forming knowledge graph. This graph then serves as a consistent context layer for any AI model, including popular options like Claude, OpenAI, and Gemini, as well as local models via MCP. The platform ensures that responses are structured queries against this graph, not generated guesses, leading to cited, permissioned, and reproducible answers. Another significant capability is the unified data layer that supports the creation of multiple interfaces. Users can ask a question and then seamlessly transform that into a dashboard, an application for their team, or even deploy an agent that monitors the data. All these interfaces draw from and write back to the same governed graph, preventing the need to rebuild context in each tool and allowing for compounding data value. Fluree AI emphasizes immutability and security at its core. Policies are stored as data within the graph and enforced by the query engine on every read and write operation. This approach ensures that policy changes are version-controlled, queryable, and can even reference other data within the graph, enabling complex access controls like relationship-based access control and permission-scoped agents. The product operates on a methodology where the data and its context form the foundation, rather than starting with a UI. This data-centric approach allows for the rapid and safe development of any desired interface. The platform aims to provide a "source of truth" that is not only accurate but also auditable and secure, addressing the growing need for trustworthy data in AI applications. Users benefit from obtaining cited, verifiable answers from their data, eliminating AI hallucinations and ensuring data integrity. The ability to build multiple applications and agents on a single, consistent data foundation streamlines development and enhances data utilization. The robust security model, enforced at the data layer, is particularly valuable for compliance-sensitive industries. Concrete use cases include powering AI agents that require precise, verifiable information for decision-making, enabling analytics platforms that draw from a unified data source, and facilitating decentralized data sharing with built-in security and provenance. It can also be used to build applications where data accuracy and auditability are paramount, such as in healthcare or finance. Fluree AI is positioned as an enterprise AI data platform. While specific pricing tiers are not detailed, the mention of a "free" sign-up for getting started suggests a freemium or trial model. The platform is accessible via a web interface. The underlying technology leverages a knowledge graph database with semantic graph capabilities and immutability features. In summary, Fluree AI provides a robust, secure, and unified data layer that equips AI agents and applications with trusted context, enabling verifiable answers and streamlining the development of data-driven solutions.