Data Assetization: Unlocking New Ideas in the Trillion Storage Track

In the digital age, the phrase "data is the new oil" has become a common consensus. However, in reality, most people can only act as bystanders, unable to truly own and utilize these "data oil fields". Every day, we create content online, provide behavioral data, and even supply materials for AI training, but very few can reap rewards from it. Currently, 95% of the world's AI training data is controlled by a handful of tech giants, which are using these "data walls" to define how the world operates.

In the Web3 space, the construction of data infrastructure is still in its early stages. The storage costs on Ethereum are exorbitant, reaching up to $900,000 per GB. Some Rollup projects may spend millions of dollars for temporary off-chain data storage. Meanwhile, many AI companies are still relying on crawlers to collect low-quality data from public web pages, and there is almost no framework for data authorization, copyright management, and content incentive mechanisms.

This is an economy with an annual output value of 3 trillion dollars, yet it lacks a dedicated "operating system".

A more fundamental question is gradually coming to the surface: what kind of data is truly valuable? Is it the accumulation of static stored files, or is it data assets that can be read, authorized, called upon, and traded? The answer is becoming clearer. Future competition will no longer be about the amount of data stored, but rather about how to use data and unleash its value.

The Underestimated Trillion-Dollar Market: Data Usage Rights and Monetization Issues

In today's highly digitalized era, everyone generates a large amount of data every day: statements on social platforms, created content, behavioral trajectories of product usage, uploaded images and videos, and even publicly available materials inadvertently provided to AI models.

What is worth pondering is that, even though Web3 advocates for "user ownership" and "decentralization", the truly usable, controllable, and monetizable data infrastructure is almost non-existent. In other words, on-chain assets can be traded, combined, and incentivized, but data remains in a "silo" state, unable to flow effectively or generate revenue.

Several typical issues persist:

1. Developers are unable to put data on-chain at a reasonable cost, especially for large volumes of data, where the costs are extremely high under the current infrastructure, making it impossible to support daily use or commercial implementation.
2. Even if the data successfully goes on-chain, it is still difficult to efficiently call and combine, with high latency and weak interfaces, resulting in the cost of "data usage" remaining relatively high.
3. The lack of standardized data authorization and charging mechanisms makes it impossible for content creators or platform providers to establish a credible "data goods" trading model, and they cannot truly "sell" a piece of data.

The separation of storage and computation means that centralized tools or off-chain logic are still needed when using data, and the data experience in Web3 is not complete.

These structural issues have directly led to the difficulty in implementing the concept of "data as an asset." We often say "empower data," but once it comes to specific actions such as authorization, invocation, and transaction, we find that there is no on-chain platform that can truly support these needs.

The emergence of a certain data platform is to solve these core contradictions. It is not simply about providing "cheaper storage", but aims to redefine the role of data on the chain from the perspective of data programmability, executability, and incentivization. This transforms data from being a passively stored file into an "on-chain native asset" that possesses rules, value, and behavioral capabilities.

Core Logic: It's not about storing data, but about unlocking the value of data.

In the traditional blockchain context, when talking about "data", people first think of "storage" - writing data onto the blockchain or off-chain solutions, ensuring its availability and immutability. This is precisely the main focus of protocols like certain persistent storage networks: emphasizing that data is stored for a long time, securely, and cheaply.

But the perspective of a certain data platform is completely different. From its inception, it was not designed to be a "cheaper hard drive," but rather to address a core question: how to make data truly a "capable" on-chain asset that participates in circulation, is used, and creates value.

This is also the most fundamental difference between a certain data platform and traditional storage protocols – it is not about storing data, but about unlocking the value of data.

1. Lower costs, suitable for large-scale application scenarios.

In the Web3 world, "storage" has always been a costly operation. For example, the on-chain storage costs of Ethereum can reach hundreds of thousands or even millions of dollars per GB, significantly limiting the development of data-related applications.

A certain data platform has significantly reduced storage costs through underlying architecture optimization and resource scheduling mechanisms, while ensuring data security and availability. This is highly attractive for scenarios such as AI model training, content platforms, and social protocols that require processing massive amounts of data.

2. Real-time data retrieval to enhance developer experience

Traditional storage protocols often emphasize "data cannot be lost once it is on the chain," but when it comes to reading this data, there are often issues such as complex calls, high latency, and non-standard interfaces.

The design concept of a certain data platform resembles a database: data is not "archived", but "available". Developers can read and process on-chain data in a familiar way, with low latency and high efficiency, which is crucial for applications that require real-time interaction or high-frequency calls.

3. EVM-compatible smart contract layer, lower development threshold

A certain data platform is fully compatible with EVM, allowing developers to use Ethereum ecosystem tools such as Solidity, Hardhat, and Foundry to directly build contract logic related to data.

This not only lowers the barrier for migrating from Web2 to Web3, but also allows existing Ethereum developers to seamlessly build DApps around "data assets", expanding new application scenarios such as authorized data markets, on-chain AI processing platforms, content royalty management systems, and more.

4. Multi-ledger architecture, more flexible data

Unlike a single-chain structure, a certain data platform employs a multi-ledger architecture, allowing different types of data to set varying storage periods and access permissions. For example, some temporary data can be configured with an automatic destruction time, sensitive data can have access verification logic configured, and public data can have open query permissions.

This flexible "data lifecycle management capability" allows a certain data platform to meet the complex needs of various fields such as AI, content, social, and finance.

5. Programmable data + contract enforcement, allowing data to truly have "vitality".

This is the most differentiated aspect of a certain data platform. On this data platform, data is not just a "passively stored" block of information; it can embed rules such as pricing, authorization, and usage, and be automatically executed through smart contracts.

In other words, each piece of data carries "contract consciousness", which can:

• Only authorized users are allowed to access
• Charged by time and frequency
• Automatic tracking of usage behavior
• Automatically settle fees or profit sharing during transfer and invocation

This form of "programmable data assets" makes data no longer static content, but rather a new type of on-chain asset category that is truly tradable, incentivized, and composable. The positioning of a certain data platform is no longer a traditional "decentralized storage protocol," but rather an infrastructure platform aimed at the future data economy. It integrates storage, usage, trading, and execution, creating a complete closed loop for data from generation to circulation and finally to monetization.

For developers, it is a low-threshold, high-efficiency tool platform; for creators, it is a trustworthy and controllable value release channel; and for the entire Web3 ecosystem, it may be the key to unlocking a new paradigm of "data as an asset."

Data infrastructure is becoming the new core battleground.

In the past few years, the attention of the cryptocurrency industry has mostly focused on public chain performance, DeFi innovations, and NFT applications. However, with the rapid development of AI, large models, and content creation, "data," the most fundamental yet strategically valuable resource, is once again becoming the "hard currency" in the consensus of the industry.

Especially in the context of Web3, the role of data is not just information recording, but also the raw material for a series of core mechanisms such as smart contract execution, AI model training, identity mapping, and content rights confirmation. Data infrastructure is no longer a peripheral role, but is moving towards the core of the industry.

We can clearly see this trend from a series of recent events.

• A data availability platform has raised $100 million, focusing on the "Data Availability" track, trying to solve the data transmission and verification issues of modular chains such as Rollups.
• A protocol financing of $140 million on a certain IP chain, dedicated to creating an "IP chain protocol", with the core aim of establishing a traceable, authorized, and tradable data structure for creators' content.
• The blob space of Ethereum (temporary data storage space) is facing capacity pressure, which means that mainstream Layer 1 can no longer handle the growing demand for data interactions.
• The number of copyright lawsuits related to AI has surged by over 200% since 2023, and creators are rapidly awakening, demanding compensation from platforms for the data that has been "used for training".
• Multiple Rollup solutions are facing scalability bottlenecks due to high temporary data storage costs, indicating that the current data infrastructure capabilities are limiting the further expansion of upper-layer applications.

These seemingly independent events actually point to the same reality: Web3 is entering a new stage of "data as a core asset," with an exponential growth in the demand for "usable, controllable, and convertible" on-chain data.

However, we still lack a universal, stable, and scalable data infrastructure that supports large-scale calls.

Current solutions either focus on storage but cannot be invoked (like a certain persistent storage network), or only address specific vertical issues (like a certain IP blockchain protocol targeting IP authorization). There has yet to be a fully functional underlying chain designed for "general data assets."

This is why the entry point of a certain data platform is so critical. It not only fills the gap of "data storage + invocation + trading", but also provides a solution for the entire ecosystem that can be combined, expanded, and scaled through programmable data and smart contract execution mechanisms.

In other words, this is the "data main chain" that the market has been waiting for.

Data should not just be "resources", but rather "assets".

Storage is the starting point, but not the endpoint. To truly unlock the value of data, a complete set of technologies and architectures surrounding "usage rights, incentive mechanisms, and contract control" is needed.

A certain data platform is building a blockchain infrastructure that truly transforms "data" into "assets."

From content creators to AI model trainers, from decentralized social networks to on-chain computing platforms, as long as you are building a data-dependent Web3 product, a data platform may become a foundational infrastructure option that you must consider.

The future of data is not just "putting it in", but "how to create value and output it". And this process requires a chain specifically born for this purpose.