Teaching AI to Speak Web3: Why Democratizing Data Matters

As shared at “Unlocking the Future of AI on BNB Chain,” hosted by Google Cloud & MetaEra

Blockchain is noisy, wallets interact with smart contracts, protocols generate constant flows of liquidity data, and transactions fly across chains like digital confetti. For humans, making sense of this is already a challenge. For AI? It’s practically a foreign language.

At the recent “Unlocking the Future of AI on BNB Chain” event, hosted by Google Cloud and MetaEra on April 10th, one thing was clear: we’re standing at the crossroads of two revolutions, AI and Web3. But for these two to meaningfully intersect, we need a shared language. That language is data. And more importantly, structured, intelligible, and accessible blockchain data.

AI models, especially LLMs, are incredible at spotting patterns and generating insights. But when you feed them raw blockchain data?

Smart contracts weren’t written for machines to interpret. Wallet addresses don’t say much on their own. Even basic actions,like staking, borrowing, or swapping, are often hidden behind complex contract calls spread across fragmented ecosystems. The result? AI lacks the context it needs to generate meaningful outputs for Web3 users.

That’s a problem if we want AI agents that can do more than just answer FAQs or summarize tweets. Imagine AI that can:

• Spot vulnerabilities in real time
• Optimize your DeFi strategy on autopilot
• Manage your DAO’s treasury
• Act as your crypto-native financial assistant

All of that requires one key ingredient: AI-ready data.

The Vision: Making Blockchain Data Understandable

Our goal is to teach AI how to speak Web3 fluently, not by reinventing the blockchain, but by making its data usable and useful for training AI models.

We do this through indexation and processing of data, in order to transform it to modular and interpretable on-chain insights. Think of it like a lens that translates raw transactions into structured insights like:

• “This wallet deposited 1,000 USDT into Aave v3 on BNB Chain at a 4.2% APY.”
• “User swapped 500 BNB for DOGE on PancakeSwap at a slippage of 1.5%.”
• “Wallet borrowed 2,000 DAI from Venus, collateralized by 1.1 ETH with a health factor of 1.4.”
• “Address staked 10,000 CAKE tokens for 90 days and earned 123 CAKE in rewards.”
• “This user minted 3 NFTs from a collection on BNB Chain and listed 2 of them on OpenSea within 10 minutes.”
• “Wallet interacted with 5 different protocols in the last 48 hours, showing a pattern consistent with airdrop farming.”

For AI Agents, Datai Network can provide a clean, queryable structure, that’s easier to work with. For users? It means smarter tools, better UX, and assistants that actually understand what’s going on in your wallet.

This isn’t just about building cool tech. It’s about access.

Right now, the ability to leverage blockchain data at scale is locked behind expensive infrastructure, proprietary APIs, and siloed analytics. If you’re a solo developer or small Web3 startup, good luck competing with the big boys.

But imagine a world where:

• Anyone can deploy a projection and make it accessible to others
• AI agents can instantly plug into on-chain data across chains and protocols

That’s the world we’re building. And it’s why decentralization matters, not just for consensus, but for computation and insight generation too.

When AI can finally speak Web3, the applications are endless:

• A DeFi user gets notified when their health factor drops below a threshold, before liquidation risk sets in.
• A DAO treasurer sees their treasury diversification across protocols and chains, with real-time suggestions on how to optimize.
• An NFT collector is alerted when a wash-trading pattern is detected in a collection they’re watching.

This isn’t hypothetical. With Datai Network and other AI-ready data platforms, these experiences are already emerging.

Web3 isn’t just moving toward better interfaces, it’s moving toward intelligent ones. And AI won’t just sit on the sidelines. It will be embedded in the products we use every day. But for that to happen, it needs to understand the world it’s operating in.

By democratizing access to high-quality, structured blockchain data, we’re giving AI the tools it needs to become truly useful in Web3. Not just a chatbot. A collaborator.

The future of AI in Web3 doesn’t start with smarter models.

It starts with smarter data.