In the evolution of human information civilization, each generational shift is fundamentally driven by a revolution in operating systems. From Windows managing "files" in the PC era to iOS and Android defining "Apps" in the mobile internet age, operating systems have consistently served as the critical link between underlying computational power and upper-layer applications. As we enter 2026, with generative AI reshaping industries at an unstoppable pace, Token—the core production asset of the AI era—is calling for a new management paradigm. On May 25th, XUNCE officially launched TokenONE, the world's first TokenOS operating system. This move not only defines the foundational rules for the AI era but also marks the beginning of a new stage of large-scale, industrialized output for Token, the core AI production asset.

Breaking the AI Implementation Bottleneck: The Foundational Logic of TokenONE's Operating System Amid the global surge of generative AI, despite explosive growth in computing power and algorithms, the scarcity of enterprise-level scenario data has become a "hidden bottleneck" constraining AI implementation. While current large models output general Tokens with broad coverage, they often exhibit characteristics of "unrefined crude oil"—such as low information density and conversion rates—when handling specialized industry problems, leading to significant ineffective consumption and computational waste for enterprises during invocation. TokenONE is termed an operating system because it is natively built for AI and can uniformly manage Token, the core value carrier of the AI era. Its primary strategic value lies in enabling the leap from data to scenario-specific Tokens, transforming an enterprise's private, scattered, and heterogeneous raw data into high-purity production assets directly usable by models, making large model outputs measurable.

Technically, TokenONE is built on a multi-layered computing foundation, capable of flexibly scheduling hybrid computing resources like GPU, CPU, and NPU, and supports mixed deployment across cloud and local servers, fundamentally addressing enterprise computing power concerns. Simultaneously, TokenONE is fully native to large models, supporting all leading models in the market. Enterprises are not tied to a single model vendor and can achieve flexible switching and collaborative scheduling between different models on the system. This neutral and open ecosystem means that the more frequently large models are invoked, the more apparent TokenONE's systemic value becomes.

In specific professional scenarios, TokenONE pursues an ultimate accuracy rate of 100% and achieves response times as fast as ten milliseconds, significantly improving Agent ROI and ROE. This high reliability is a necessary prerequisite for intelligent transformation in core sectors like finance, manufacturing, and aviation. Notably, through its "9+5" system—comprising nine standardized stages and five core processes—TokenONE realizes an industrial revolution for Token factories. At the foundational data governance layer, the system integrates multi-source data from inside and outside the enterprise, using intelligent governance modules for de-noising, de-duplication, and standardization to ensure uniform raw material input. At the application integration middle layer, it automates the refining process. A real-time computing engine deeply processes data with millisecond-level response speeds, combining vertical scenario labels to encapsulate it into measurable, priceable Token assets. This pricing logic no longer charges merely by word count but incorporates multi-dimensional value such as data scarcity, industry complexity, and business output. At the application and frontier layer, these Tokens are precisely injected into AI Agents, models, and intelligent hardware to directly drive business decisions. Finally, a quality assurance system enables measurement and compliance. Billing data is generated in a hardware-isolated environment, with real-time notarization after hardware-layer encryption and signature, ensuring bills are tamper-proof and transparent for both parties. This transforms AI expenditure from "passive consumption" to controllable "active management."

This full-chain closed loop not only addresses the pain points of "dirty, messy, and poor" data but also, through Tokenized encapsulation, makes data value transparent and transferable. Consequently, TokenONE truly becomes the "industrial accelerator" for large-scale AI implementation.

Reshaping the AI Business Paradigm: Defining the Future Ecosystem of "Value-Based Billing" AI Applications The launch of TokenONE represents not just a technological innovation but a reconstruction of business logic. Previously, most AI products were positioned at the "tool layer," focusing on optimizing invocation efficiency or reducing computing costs. TokenONE, however, is positioned as an industrial output system for core production assets, establishing a benchmark standard for "Token production" across the AI industry and steering AI application implementation toward standardized "productization." For industry clients, it eliminates the cost of building a governance system from scratch, reducing AI implementation cycles from months to days. The core difference in this approach lies in its industry focus and outcome orientation, ensuring AI delivers tangible business value by integrating elements across the industrial chain.

For large model companies, this shift is equally significant. TokenONE provides them with scalable vertical data supply, enabling model capabilities to truly penetrate the core business processes of vertical industries. This addresses the structural bottleneck prevalent in the large model ecosystem where general capabilities struggle to solidify within specific sectors. Furthermore, another leap in commercial value is reflected in the evolution of pricing power and measurement models. As TokenONE supports multi-dimensional Token pricing and exchange, its price is no longer simply tied to "character count" but comprehensively considers data scarcity, industry complexity, real-time requirements, and ultimate business outcome output. This "value-based pricing" model ensures that every model invocation generates quantifiable, traceable business value and decision support.

Reflecting on the company's development, 2025 marked a critical juncture in XUNCE's business transformation. Over the past year, it achieved a doubling of revenue in the AI and AI data agent sectors. This high growth validates the effectiveness of its business model shift from a "data hub" to "AI infrastructure." In April 2026, XUNCE's Token invocation Annual Recurring Revenue (ARR) surged 300% quarter-over-quarter, with a target to increase it to 20%-30% by the end of 2026. This indicates that Token invocation revenue is becoming a new growth engine for XUNCE. As the flagship product of this strategy, TokenONE not only carries the mission of deepening business model evolution but also serves as XUNCE's core weapon to seize the future industrial high ground. By constructing the underlying data foundation for a new generation AI operating system, XUNCE is defining a replicable industrial paradigm. At this point, the launch of TokenONE is just a beginning, and the blueprint it paints for "scenario Token factories across all industries" is gradually unfolding.

In XUNCE's envisioned future of scenario Token factories, a Health Token Factory would transform vast clinical diagnostic data, medical imaging knowledge, and chronic disease management experience into precise, compliant, and auditable scenario fuel, becoming core infrastructure for medical intelligence transformation. A High-end Manufacturing Token Factory would convert process know-how into industrial Tokens, driving large-scale implementation of "AI + Advanced Manufacturing" from intelligent quality inspection and predictive maintenance to supply chain collaboration. In finance and energy, TokenONE will continue to leverage its advantages in real-time performance, compliance, and professional knowledge encapsulation to provide institutions with trusted core production assets. This "scenario Token factory" model signifies the substantive expansion of AI application boundaries and its accelerated implementation across different fields.

The launch of TokenONE is a significant milestone in the AI industry's journey from the laboratory to large-scale application across all sectors. The TokenOS operating system logic it defines may become the mainstream paradigm for the evolution of AI's underlying architecture in the next decade. In the second half of the AI era, value will no longer depend solely on engine parameters but increasingly on who can more efficiently supply high-purity "AI fuel." From this perspective, XUNCE is essentially positioning itself for the industrialized future of core AI production assets. This strategic positioning endows it with a rare and sustainable long-term investment value in the capital markets.