The Four-Layer Architecture of Collaboration

KHB主导，提供算力基础设施和技术支撑，是整个合作的基础底座。

做什么

The Computing Foundation Layer is the cornerstone of the entire industrial AI infrastructure, with KHB fully responsible for construction and operations. Specifically: procurement and deployment of GPU/CPU server clusters, data center facilities and network construction, computing scheduling platform development and maintenance, AI engineering toolchain setup, base large model training and optimization, and underlying technology R&D and iteration. Simply put, all foundational, general-purpose, capital-intensive, and technology-intensive work is handled by KHB.

Partners don't need to worry about low-level technical details, invest heavily in server purchases, or recruit and manage complex AI technical teams. Just focus on what you do best—industry knowledge and business scenarios—and leave computing and technology to KHB. This greatly lowers the barrier to entry for partners, allowing industry enterprises to quickly enter industrial AI with an asset-light approach.

Value of the Computing Foundation

For industry partners, the value of the Computing Foundation Layer is obvious. First, cost savings—no need for one-time huge investments in hardware, or bearing high operations and technical team costs. Second, risk reduction—risks like technology route selection, hardware iteration upgrades, and talent turnover are all borne by KHB. Third, speed advantage—based on KHB's ready-made computing and technology platforms, projects can launch in weeks instead of struggling for half a year or more on your own. Fourth, continuous upgrades—KHB continuously invests in R&D, so partners always enjoy the latest technical achievements without worrying about falling behind.

伙伴主导，贡献行业数据和专家经验，KHB提供技术支持，共同打造行业知识资产。

做什么

The Knowledge Co-Build Layer is the core value layer of industrial AI, and also the main battlefield where industry partners leverage their strengths. At this layer, partners lead the organization of industry knowledge, data curation, and expert participation, while KHB provides AI technical support and engineering capabilities. Both parties work together to transform industry knowledge into digital, structured, and modeled knowledge assets.

Specific work includes: inventory and cleaning of industry data, construction and maintenance of knowledge graphs, establishment and operation of expert annotation systems, fine-tuning and optimization of industry large models, requirements definition and product design for industry applications, etc. Partners are responsible for providing data, providing experts, defining requirements, and controlling quality; KHB is responsible for technical implementation, engineering delivery, and performance optimization. Both sides work closely together to build knowledge assets with industry barriers.

Why Partners Should Lead

Industry knowledge is the core barrier of industrial AI, and industry knowledge is in the hands of industry enterprises. No matter how capable KHB is, we cannot know the industry better than industry enterprises. Therefore, the Knowledge Co-Build Layer must be led by partners to ensure correct direction, professional content, and alignment with industry reality. KHB's role is a technology enabler, not an industry instructor. We humbly learn from industry experts and use AI technology to help them deposit, pass on, and amplify the value of their knowledge.

This arrangement has another important benefit: it gives partners control over core assets. Industry knowledge is a partner's core competitiveness. Through knowledge co-building, this knowledge is digitized and modeled, but control remains in the partners' hands. No need to worry about being "held hostage" by the technology provider, or about losing core knowledge assets. With clear property rights, Collaboration can last.

双方共造，联合行业各方力量，共同制定行业AI标准，建立行业话语权。

做什么

The Standard Co-Development Layer is the critical leap from "having" to "excellence" in industrial AI. Once the computing foundation and industry knowledge are in place, the next step is to establish industry standards and promote the standardized development of the entire industry. This is not something any single party can accomplish alone—it requires close Collaboration between both parties, plus joint efforts with industry associations, research institutions, regulatory authorities, and peer enterprises.

Specific work includes: research and formulation of industry AI service standards, establishment of AI quality assessment systems, design and implementation of compliance frameworks, writing and publication of industry white papers, initiation and operation of industry alliances, and policy recommendations and promotion. KHB is responsible for technical standards; partners are responsible for industry business aspects. Both parties jointly promote the development and promotion of standards.

Where Is the Value of Standards

Many people may ask: what's the use of setting standards? They can't directly pay the bills. In fact, the value of standards is enormous—and long-term and strategic. First, standards reflect industry discourse power—whoever sets the standards holds the industry's "rules of the game" and gains the initiative in competition. Second, standards are the foundation of ecosystem building—with unified standards, more participants can be attracted to join the ecosystem, creating network effects. Third, standards are trust endorsements—products and services that meet standards are more likely to gain customer trust, reducing sales costs. Fourth, standards are a moat—first-mover enterprises can build higher competitive barriers by setting standards, making it harder for latecomers to catch up.

双方共营，基于三层基础，面向全行业提供AI服务，实现商业价值和产业价值。

做什么

The Industrial Services Layer is where value is monetized and where the ultimate value of industrial AI is realized. The first three layers are all investment and construction; at this layer, we start seeing output and revenue. The work of the Industrial Services Layer is to provide various AI products and services to industry-wide customers based on the three foundations of computing, industry knowledge, and industry standards—realizing commercial value.

Specifically includes: development and sales of SaaS products, customization and delivery of industry solutions, API interface services, AI consulting services, training and education services, industrial investment and incubation, etc. On the sales channel side, we fully leverage partners' industry channels and customer resources while expanding new channels and customers. On the operations side, both parties form a joint operations team responsible for product operations, customer service, marketing, and more.

Commercialization Path

Commercialization of the Industrial Services Layer happens in stages. Phase one is internal validation—first using AI services in partners' own businesses to verify value and refine products. Phase two is benchmark customers—selecting leading industry customers as benchmark cases to build industry reputation. Phase three is scaled promotion—promoting products and services industry-wide through channel networks and ecosystem partners. Phase four is ecosystem development—moving from providing products and services to building an industrial ecosystem, achieving exponential value growth.

Throughout the commercialization process, we adhere to the principle of "value first, long-termism." We don't chase quick money or one-off deals—we truly create value for customers and grow with them. Only when customers succeed can we succeed. Only when the industry develops can we develop. While this philosophy may seem slower in the short term, in the long run it's the most stable and sustainable development path.