The Web3 of 2026 is no longer just about finance. Today's stories all revolve around "intelligence"—billions of AI agents running on-chain. But here’s the problem: no one really knows what data these models consume. Even more painfully, the intellectual property consumed is not paid for by anyone.

So why do I call a certain data storage protocol the "Data Armored Car of the AI Era"? Because it’s far from a traditional warehouse. Don’t be fooled by the old rhetoric of "decentralized storage." Some projects focus on cold data archiving, but this protocol is different—it’s designed to feed real-time hot data to AI. Built on a high-performance chain architecture, the data here is not static. Each dataset, each model weight, is more than just a hash; it’s an on-chain object with clear ownership and logic.

This is the key: we have achieved "Verifiable AI" for the first time.

With this system, the source of training data for AI models can be precisely traced. You can confirm that it uses compliant, paid materials, rather than relying on web crawling to "steal" data recklessly as in the Web2 era. This is not just a technical issue—honestly, it’s a constitutional issue for the entire AI industry.

Even more impactful is the subsequent business design. Through the Seal protocol, data owners can encrypt and upload high-quality training sets—such as private medical images or high-frequency financial data—to build decentralized data organizations. Want to train an AI agent with this data? No problem, they must automatically pay tokens on-chain to unlock it. The relationship of production instantly reverses: data is no longer a free lunch for big corporations but becomes a yield-generating asset for users.

While other storage projects are still competing over who has lower hardware costs, this protocol has already penetrated the top of the AI industry chain—data rights confirmation and distribution. This is a war over the pricing power of "digital oil," and the real key lies on this chain.