# Product Suite

### Product Suite Overview

GraphAI’s product suite is comprised of modules that directly target the major data bottlenecks specific to the RWA, DeFAI and DePIN industries. It then allows for seamless integration of the tools to allow users to build deeply customized solutions for accessing the data required to integrate integrating RWA and DePIN assets into DeFAI protocols.&#x20;

At its heart, the suite leverages a unified knowledge graph and vector database system to deliver real-time, structured insights, but each product carves out a distinct niche. One focuses on unlocking the potential of tokenized real-world assets, another empowers autonomous financial strategies in DeFi, and the third builds a decentralized backbone for data ownership. Together, they form a cohesive ecosystem that bridges these 3 worlds, catering to developers, institutions and ecosystem that wish to integrate RWAs and DePIN assets into their DeFAI protocols, apps and trading strategies. This modular approach ensures GraphAI can scale and adapt as the landscape of DeFAI, RWA, and decentralized infrastructure evolves.

### GraphEngine: Structured Blockchain Data for LLMs

LLMs can’t read the blockchain directly or remember its context—GraphEngine builds dynamic, always-updating knowledge graphs that act as a neural link between LLMs and live blockchain activity.&#x20;

Most blockchain data is a mess—spread out across chains, full of odd formats, and difficult for any AI or analytics tool to use straight out of the box. GraphEngine is the module that takes this chaos and turns it into a dynamic MCP Graph.

GraphEngine listens to Ethereum, Solana, and other major chains, parsing and standardizing every transaction, contract event, and wallet action. The result is a clean, structured graph and embedding layer that lets AI models, agent workflows, and analytics dashboards instantly access and reason over real on-chain data, with no manual cleanup or lost detail.

With GraphEngine anyone building on GraphAI gets ready-to-query, machine-readable blockchain data—no manual cleanup, no special scripts, no lost details. That means AI models, agent workflows, and analytics dashboards can work directly with the data they need, exactly when they need it.

### GraphRWA: Tokenized Asset Intelligence

GraphRWA solves the deepest data bottlenecks holding back the integration of tokenized real-world assets into the trading and yield strategies of DeFAI protocols., It offers a sophisticated toolkit for navigating the complexities of both physical assets and off-chain financial instruments. It starts by ingesting blockchain data—think Ethereum transactions for tokenized real estate or Polygon records for fractional bonds—and builds a detailed knowledge graph that tracks ownership histories, payment streams, and regulatory metadata. Users can query this graph through an intuitive API to pull real-time valuations.&#x20;

Beyond discovery, GraphRWA cross-references smart contract audits and compliance frameworks, flagging risks like illiquidity or legal restrictions with precision honed by GraphRAG’s contextual mapping. For management, it monitors yield payouts and ownership transfers, even suggesting portfolio rebalances based on AI-driven risk models. This creates a world where a DeFAI protocol or institution could, for example, scan for a tokenized warehouse, get a full due diligence report in minutes, then auto-generate an escrow contract - all powered by GraphAsset’s seamless integration of blockchain truth and AI insight.

### GraphFi: Precision Data for DeFAI Trading, Lending & Governance

GraphFi is built for the fast-paced realm of DeFAI, where autonomous agents need highly precise real-time data to thrive. It taps into GraphAI’s indexing engine to process live blockchain flows (eg Uniswap trades, Aave lending rates, or DAO governance votes etc.), constructing a knowledge graph that links token movements, MEV patterns, protocol states, and more. Developers can access this via API to feed agents with insights.&#x20;

For example it could enable an agent to spot a 5% arbitrage gap across DEXs or predict liquidation risks in lending pools. GraphFi’s vector database ensures these queries happen in real-time, enabling agents to execute trades or adjust lending positions in under a second.&#x20;

Governance gets a boost too, with the system mapping proposal impacts across historical data, helping DAOs make data-driven calls.&#x20;

### **GraphGrid: A Decentralized Data Ownership & Staking Protocol for DePIN Ecosystems**

Built on a DePIN model, GraphAI enables data ownership via tokenized staking models, ensuring a sustainable, decentralized ecosystem for RWA asset management and AI-powered DeFi.

Whilst GraphRWA and GraphFi focus on improving access to precise, contextualized data for integrating RWAs into DeFAI protocols, GraphGrid provides a framework for monetizing the data itself. It distributes the platform’s indexed blockchain data across a global network of nodes, each contributing storage or indexing power in exchange for token rewards.&#x20;

The knowledge graph and sub-indexes live here, encrypted and redundant, ensuring no single failure can disrupt access. Contributors stake tokens to join, with rewards tied to uptime and data accuracy. Users can tap GraphGrid for secure, scalable data access, whether powering a dApp or personal analytics, while the DePIN structure keeps it sustainable as usage grows.

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