CodexField is a future-oriented "AI-driven full-asset trading infrastructure." The platform aims to enable diverse elements such as crypto assets, RWA, model inference capabilities, and content production capacity to be identified, priced, and traded within the same system, and to achieve automated execution and value return through AI. This underlying structure, geared towards new asset classes, has opened up a completely new track for the ecosystem and placed it in a blue ocean market.
Recently, CodexField received strategic investments from several top-tier institutions, including ODIG, Blockin Venture, Sky Ventures, BlockBase, and Onebit Ventures, sparking widespread discussion within the industry. In fact, institutional investments in infrastructure projects are typically highly targeted; capital tends to favor underlying systems with long-term potential and structural advantages. Therefore, the fact that multiple institutions made similar assessments at the same time is particularly noteworthy.
Behind this round of investment, what are the investors judging about CodexField? What factors make CodexField a key bet in their eyes? Let's explore together.
Why are institutions optimistic about CodexField?
Infrastructure gaps in AI-native asset systems
AI is becoming a key area of focus in the technology and crypto markets, with all the hot money currently seeking high-quality AI projects or assets to invest in. Focusing on the AI narrative, we see it forming a completely new productivity structure. Especially on the basis of CodexField, model inference capabilities, computing power, content production capacity, and intelligent strategies are gradually evolving into quantifiable digital assets. These assets are massive in scale but lack the infrastructure from ownership confirmation to trading. The market has yet to see a complete system that connects "AI production capacity, quantifiable assets, and tradable execution," which is the unique value of CodexField.
Focusing on CodexField, its on-chain content and model ownership confirmation system, PoA asset minting framework, multi-asset transaction structure, and AI automatic execution network actually form a closed-loop path, filling the underlying gap of this emerging asset class.
For organizations, CodexField targets a typical blue ocean market with extremely limited window of opportunity. Projects that can penetrate unique vertical fields naturally possess long-term potential. CodexField stands at the center of this landscape, with its technological approach highly aligned with industry trends.
The technical architecture has long-term scalability.
From an engineering perspective, CodexField's appeal stems from its clear and highly scalable technical architecture. The project has developed fundamental capabilities such as a multi-chain aggregated liquidity system, an AI execution engine, and a content/model assetization module, organizing them into a unified system encompassing asset generation, liquidity scheduling, AI-automated execution, and revenue return.
Compared to single-point products or vertical functions, CodexField's structure is closer to a system-level infrastructure. It is compatible with Crypto and RWA, can incorporate content production capacity and model assets, and has the potential to support the Agent-to-Agent machine economy. In the view of institutions, this engineering completeness and top-level design capability are key to its future cross-cycle development.
Many projects remain at the transaction or execution layer, while CodexField's structure can continue to expand as the industry evolves, making this scalability highly valuable for investment.
Market performance and user validation
Another key factor is CodexField's proven ability to verify user data. During its public beta phase, the project reached over 500,000 users, with millions of wallet connections, and users spanning Southeast Asia, the Middle East, Europe, and the Americas. Modules such as GitD on-chain hosting, the content/model asset system, the AI engine, and multi-asset aggregation trading are already in practical use.
For organizations, the significance of this data goes far beyond the numbers themselves. It signifies that CodexField's model is feasible, users are willing to adopt it, the ecosystem can expand naturally, and the project has moved from concept to an early-stage, usable infrastructure. Capital is likely betting on the prototype system that has already received initial validation from users worldwide, with the potential for further scaling.
Naturally aligned with the organization's globalization path
Another reason the institutions chose CodexField is the high degree of alignment between the two companies in terms of ecosystem expansion and internationalization strategies. The institutions participating in this round of investment have extensive experience in infrastructure development, global market channels, compliance communication, business development networks, and ecosystem connections—capabilities that naturally align with CodexField's growth path. The growth rate of infrastructure projects often depends on resources and ecosystem connectivity capabilities, and these institutions can provide precisely this kind of scarce accelerator.
The synergy of resources, channels, and partnerships means that CodexField's ecosystem penetration will accelerate into a large-scale phase, providing a realistic impetus for future international market expansion. This two-way amplification effect of "project capabilities × institutional resources" is a crucial factor in determining whether infrastructure projects can advance beyond their early stages.
CodexField Potential Valuation
With the full integration of AI, on-chain finance, and multi-asset systems, the market in which CodexField operates is expanding rapidly, and its long-term potential far exceeds the dimensions that general infrastructure projects can reach.
Greater growth elasticity
In the realm of AI-native assetization, the world is witnessing a new asset class experiencing exponential growth. Model inference capabilities, computing power, content generation, and intelligent strategies are becoming measurable, priced, and tradable digital assets. Institutions such as McKinsey and Goldman Sachs predict that by 2035, the overall size of the AI economy will reach $10-15 trillion, of which priced AI-native assets are expected to reach $1.5-3 trillion. However, there is currently no unified on-chain infrastructure globally capable of supporting the entire chain of needs for these assets in terms of ownership confirmation, pricing, circulation, execution, and revenue return.
CodexField's infrastructure is providing a truly fundamental structure for AI capabilities to enter the market. For investors, this kind of "structurally incremental market that will only truly unfold in the next decade" often means greater growth potential and larger valuation space.
At the same time, in the multi-asset trading and execution market, the trend is currently shifting rapidly from human decision-making to AI-automated execution.
The large-scale parallelism of the cross-chain ecosystem has resulted in a highly fragmented global on-chain liquidity exceeding $90 billion, while the demand for automated strategies, cross-chain scheduling, and unified depth continues to grow. On-chain derivatives trading volume has surpassed $1.2 trillion annually, with AI strategies growing at a rate far exceeding that of traditional trading models.
CodexField's system is naturally adapted to the migration of new markets: its cross-chain aggregation depth, AI execution engine, multi-asset market structure and revenue return system are interconnected, giving it the potential to support future quantitative execution layers and machine economic execution paths.
From engineering structure to ecological form, it has the ability to evolve into "system-level infrastructure". Such projects often have a long-term valuation ceiling that far exceeds that of ordinary DEXs or aggregators.
The long-term growth engine from the Agent economy itself
Global tech giants are building payment, execution, and collaboration standards for AI agents: Google's AP2, Coinbase's 402, and OpenAI's Agent system all point in the same direction—AI will truly become an on-chain economic participant. In the future, value flows in the network will be autonomously initiated, settled, and executed by AI.
To support this new model, the market needs two types of underlying structures:
One is a quantifiable AI-native asset system;
Secondly, it is an on-chain execution network that can automatically execute and settle accounts.
CodexField possesses underlying capability components for both of these paths, thus naturally positioning itself as infrastructure in the Agent Economy era. JPM, BCG, and other institutions predict that the Agent Economy will reach $30-50 trillion by 2035, with the financializable and on-chain executable portions constituting the largest incremental growth of the next phase of Web3.
Against this backdrop, CodexField's valuation logic has also undergone a significant expansion. It is no longer categorized as a traditional product type, but rather resembles a "composite infrastructure," covering the underlying value flow of AI models, asset issuance, execution networks, trading systems, and agent economics. Therefore, industry benchmarks now exhibit a multi-dimensional, combined structure, rather than simply single-point comparisons.
Based on benchmarking across different dimensions, we also included CodexField as a general reference for the project's "potential future valuation":
CodexField will undoubtedly become a unicorn ecosystem in the new AI era.
Summarize
From the perspectives of industry trends, technological depth, and user validation, CodexField is transforming from an emerging project into a key infrastructure for the era of AI-native assets.
The concentrated bets by institutions are not accidental; they may reflect a clear assessment of CodexField's position in the future market structure. CodexField stands at the starting point of a multi-trillion-dollar industry, playing a fundamental role in bringing AI productivity to the market. As its asset portfolio, execution network, and global ecosystem continue to expand, CodexField's value proposition is constantly being pushed higher, and its growth potential is far from exhausted. For the industry, this may be the early form of the next stage of foundational AI × Web3 platforms.
