The GraphAI Manifesto

GraphAI is built on the principle that blockchain data, both historic and current, holds immense value that can be unlocked through proper indexing and organization.

Our manifesto is clear: to empower developers and users with the tools to create customized, AI-ready datasets from blockchain data, enabling the development of sophisticated AI and LLM-powered dApps.

We believe that by providing a flexible framework for indexing and structuring blockchain data, we can dramatically expand the scope and intelligence of blockchain applications across various industries.

Data bottlenecks remain the major roadblock currently holding back the integration of RWAs into profitable DeFAI strategies. AI models and decentralized agents struggle to extract actionable insights from fragmented, unstructured blockchain data. Meanwhile, effectively bringing RWAs on-chain requires a level of data granularity and data intelligence that is beyond the scope of current tools.

GraphAI bridges this gap as the first AI-enhanced data middleware layer designed specifically for the nexus between the worlds of DeFAI and RWAs. Offering real-time, structured, and queryable blockchain intelligence, GraphAI is powering the next generation of financial automation and delivering the data layer required to effectively integrated RWAs into DeFAi strategies.

GraphAI leverages the emerging Model Context Protocol (MCP) framework to standardize how AI models dynamically ingest and utilize external data. Our core innovation, the Open RAG Graph, builds upon MCP to specifically enable scalable and real-time indexing of blockchain data, delivering actionable insights and rich contextual understanding for decentralized finance (DeFi), real-world asset (RWA) management, and beyond.

By indexing both historic and dynamic blockchain data, GraphAI facilitates the creation of customized sub-indexes stored in vector databases, complemented by a comprehensive knowledge graph. This innovation opens up new possibilities for leveraging blockchain data in AI and machine learning applications, particularly for Large Language Models (LLMs).

The GraphAI offering is divided into 4 separate, but integrated product offerings:

• GraphEngine: Build knowledge graphs to map blockchain data for better AI insights.

• GraphRWA: An AI-powered discovery, compliance, and management protocol for tokenized real-world assets.

• GraphFi: A real-time data intelligence protocol for autonomous trading, lending, and governance.

• GraphGrid: A decentralized data ownership and staking protocol for DePIN ecosystems.

From retail traders optimizing yields to institutions managing tokenized assets, GraphAI provides the data layer that will power the integration of RWAs into the world of DeFAI.