AI assistant's "forgetfulness" is becoming a new problem. Your conversations, consumption records, browsing history are stored on the servers of big tech companies, and they can delete or modify them at will—you have no say.

This is the awkward situation we face today: Web3 constantly advocates for data sovereignty, but in reality, your data remains someone else's asset. Buyers can freely train models, copy data, or even sell it to third parties, while you have no way to verify or control.

A project is trying to fundamentally change this logic. Its approach is simple but thorough—rather than letting data sit passively on a centralized server and be exploited, it aims to return the "usage rights" definition back to the data owners from the very beginning.

The protocol adopts a mechanism called Seal, which essentially puts an "intelligent lock" on the data. When you store sensitive data (such as medical images), the buyer doesn't get the data itself but a programmed "decryption key."

This key is strictly constrained: it can only be used by specific AI models, only within a certain time frame, and each use is recorded on the blockchain. Violations trigger immediate alerts. Even more impressively, you can set up automatic rewards whenever the data is accessed.

In simple terms, this mechanism makes three things possible: piracy turns into garbage data (since leaving the system results in gibberish), misuse is traceable (permanent on-chain record), and users are rewarded (without intermediaries).

This is not just a theoretical concept. By December 2025, this system has handled over 70,000 real decryption requests, and more than 20 AI projects and data management companies are using it to protect their core assets.

What the market lacks is not ideas but truly usable infrastructure. When high-value data begins to flow compliantly, the market size could reach trillions. And the native token of this protocol is very likely to become the access pass for future data trading.

Ultimately, the essence of the data revolution is not to make AI smarter, but to make data flow transparent, controllable, and traceable. Whoever can standardize these rules will hold the discourse power in the AI era.