While the global AI industry remains locked in an arms race of scaling parameters and compute clusters, a deeper structural contradiction is emerging: large models are not short on engines, but are critically lacking the "fuel" to drive these engines at high performance. The true turning point of this race has quietly shifted from "building the engine" to "refining the fuel."

TokenONE: A Native, AI-Native Operating System for Tokens Without high-energy fuel, even the best engine can only idle inefficiently. Over the past two years, the AI industry has been frantically stacking model parameters and expanding compute clusters. Yet, when models are deployed into core enterprise business processes, the limitations of generic tokens become apparent. They are akin to low-octane gasoline—plentiful but low in energy density. Enterprises often require repeated attempts to solve professional problems, leading to significant inefficiencies.

What enterprises need is not a metering tool that "charges by the word," but scene Tokens that can "hit the target in one go" for business decisions. Scene Tokens are precisely this "high-energy fuel"—they are processed from private, industry-specific data through cleansing, standardization, alignment, and knowledge enhancement. The information density and business logic carried by a single scene Token can equate to the stacking of hundreds of generic tokens.

XUNCE (03317) has launched TokenONE, the world's first TokenOS operating system. With its core capabilities of refining, delivering, and decision-making, it transforms data into high-purity, high-value "scene Tokens" through an industrialized process. These Tokens can be directly invoked by various models and AI Agents, enabling large models to produce measurable, high-quality outputs.

TokenONE is built around a complete industrialized pipeline. It first addresses the "raw material input" problem—through data tokenization capabilities, it converts an enterprise's scattered, heterogeneous, and non-standard private data into measurable, priceable, and exchangeable industrial feedstock. Whether it's financial risk control logs, manufacturing equipment records, or medical imaging archives, TokenONE can perform precise cleansing, standardization, and tagging.

Once the raw materials enter the "refinery workshop," TokenONE's multi-compute foundation comes into play. It unifies access to GPU, CPU, and NPU resources, supporting hybrid cloud and on-premises deployment. This ensures core data remains within the enterprise domain while allowing flexible scheduling of compute resources. Its real-time computing engine performs deep processing at millisecond speeds, pursuing 100% accuracy in specific professional scenarios—critical for zero-tolerance fields like financial risk control and industrial quality inspection.

In the final value output stage, TokenONE is fully native to large models and is not bound to any single model vendor. Enterprises can flexibly switch between and collaboratively schedule general-purpose and vertical models on the platform. Simultaneously, the platform supports enterprises in rapidly training, fine-tuning, and deploying their own vertical and small models, achieving lower costs, faster inference speeds, and the ability to run privately on-premises. From data ingestion to model invocation, TokenONE covers the entire chain and is accountable for the final business outcomes.

The "Ford Moment" for the AI Industry: The Scene Token Factory Goes "Industrial" From a strategic perspective, the significance of TokenONE extends far beyond a mere technical solution. For the first time, it defines an industrialized production paradigm for the AI industry's "core means of production"—much like how Ford's assembly line moved car manufacturing from handcrafted workshops to mass production, and how container standardization transformed global trade from breakbulk handling to systematic logistics. TokenONE replicates this logic in the AI domain: moving scene Token production from "handcrafted workshop" customization to "industrialized" standardized output.

This entire industrialized system delivers breakthroughs at three levels. For industry clients, TokenONE compresses AI implementation cycles from months to days. The Token factory directly outputs standardized scene Tokens, making AI investments quantifiable and traceable. For large model vendors, TokenONE provides scaled vertical data supply, systematically addressing the industry bottleneck of scarce scenario data. For the AI industry, TokenONE drives a paradigm shift from "project-based" to "product-based," and from "custom development" to "standardized supply"—a necessary condition for AI to move from the laboratory into production systems.

The AI industry is undergoing a historic transition from "technology-driven" to "production-driven." The winners of the first half belonged to companies with the most compute power and parameters; the winners of the second half will belong to companies that can enable AI to enter production systems at scale, with low cost, and measurably. The launch of TokenONE marks the official commencement of this second half.

Built upon this Token factory's foundational architecture, XUNCE is collaborating with leading enterprises in vertical industries to co-build scene Token factories. This aims to permeate the industrialized capability of data tokenization into every critical sector—finance, healthcare, manufacturing, energy. The deployment of each vertical Token factory signifies a substantive expansion of AI's application boundaries within that industry. Only when scene Tokens become the "standard interface" for AI systems across all industries will AI truly enter the core of production.

While the industry debates model parameters, XUNCE has already constructed the "infrastructure" and "power source" for the AI era. From "crude oil" to "high-energy fuel," from "handcrafted workshops" to "industrialized production," TokenONE is writing the foundational logic for the next decade of the AI industry. As a scarce player in the AI infrastructure space, XUNCE's long-term investment value is accelerating alongside the industrialization progress of its Token factories.