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CodexField: Building the “power grid” for AI resources

Press Releases
CodexField: Building the “power grid” for AI resources - 1

Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.

CodexField builds an open “power grid” for AI, connecting data, models, and compute securely.

Throughout the history of AI, humanity has been fixated on the progress of models. From GPT-3 to GPT-5, Claude-4 to Gemini-2.5, each new generation pushes the boundaries of scale and speed. Yet after years of development, it has become increasingly clear: stronger models alone have not automatically driven transformative breakthroughs at the industrial level.

What AI truly needs is a public infrastructure that enables data, models, and compute power to move securely across organizations. CodexField was born to address precisely this bottleneck. It aims to build an open “power grid” for the AI world — breaking down the walls of closed platforms, allowing distributed resources to be authenticated, identifiable, measurable, and settleable — so they can finally flow safely and reliably to where they’re needed most.

The “power grid” woven by CodexField

CodexField is a web3-native asset infrastructure designed for the AI industry, aiming to enable data and model ownership, invocation, and value circulation. It treats models, prompts, algorithmic code, and their derivatives as reusable intelligent assets, realizing the principle of “model as an asset, invocation as billing” through unified packaging and authorization standards. The platform provides a closed-loop system covering storage, ownership verification, authorization, metering, and profit distribution.

The core value of CodexField lies in re-assetizing resources once hidden behind APIs — granting data and models property identity and automatic revenue feedback. This lowers collaboration and compliance costs, builds a standardized pipeline for cross-domain sharing and compliant invocation, and lays an institutional foundation for the deep integration of AI and web3.

Assetizing AI content elements: data, models, and code

At its core, an AI model is underpinned by an ever-evolving stack of algorithmic code, while the datasets and prompts supporting its training and inference are equally essential “content.” In traditional web2 environments, these resources are typically accessed via APIs or compressed packages. Users can send a request and receive a result, but remain unable to trace which models or data were used, who contributed them, or how the value should be recorded in legal or financial terms.

CodexField begins by introducing the concept of “content assetization”, aiming to establish unified identities and circulation rules for these fragmented intelligent resources. The platform introduces a “Content Capsule” mechanism — encapsulating datasets, models, code, and even inference scripts into identifiable, callable digital objects. During the on-chain process, each capsule is bound to the creator’s DID identity, version lineage, and integrity hash — effectively generating a proof of ownership that permanently records origin and integrity on the blockchain ledger.

CodexField: Building the “power grid” for AI resources - 2

Institutional foundation

After AI content is assetized, CodexField further establishes an executable rule system for these assets, transforming the authorization terms, metering methods, and revenue-sharing logic once written in contracts into on-chain code and industry standards. Resource providers can use a license description language to define authorization duration, invocation frequency, applicable scenarios, and revocation conditions, generating corresponding capability credentials. In this way, traditional license agreements are abstracted into a set of programmable, callable, and self-executing rules.

When an asset is invoked, the system automatically generates a usage receipt, using MU (Metered Unit) as a unified measurement standard — essentially installing a “meter” for data and models. This ensures consistent metering across cloud environments, edge nodes, and trusted computing frameworks, making every invocation traceable. The platform’s built-in royalty graph automatically identifies all participants along the invocation path — data providers, model developers, and compute nodes — and distributes revenue through on-chain settlement routing, giving AI usage its first truly executable industry standard.

CodexField’s mechanism breaks through this barrier. Developers can seamlessly invoke external resources without rebuilding backend billing systems. Creators receive immediate, auditable rewards each time their data or models are used. Enterprises and research institutions can complete multi-party authorization, invocation, and settlement within a single system. This dramatically reduces compliance and financial costs.

Through this institutionalized circulation model, previously fragmented AI resources gain attributes akin to electricity — measurable, payable, and traceable. It greatly lowers the threshold for industry-wide collaboration and establishes a fair, transparent, and continuously value-accruing economic foundation for innovation.

CodexField: Building the “power grid” for AI resources - 3

About CodexField

CodexField is a next-generation web3 platform for on-chain content assetization. It transforms code, AI models, AIGC outputs, and knowledge into tradable, revenue-generating digital assets. By building full-stack infrastructure for ownership verification, permission control, and content financialization, CodexField is redefining how digital intelligence is created, shared, and monetized on-chain.

For more information, visit the official website, Telegram, X, and YouTube.

Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.