Decades of accumulated teaching methods, curriculum systems, learning progress analysis, and college entrance planning... Previously, these were just your internal assets. Now, they can become "Education & Training AI Standards" used and paid for by the entire industry. KHB provides computing power, technology, and teams; you provide knowledge, experience, and channels. Strategic joint venture to build the AI infrastructure for the education and training industry.
The education and training industry is at a critical period of transformation and upgrading. Leading institutions hold valuable teaching experience and educational research achievements, yet face deep challenges such as heavy teacher dependency, difficulty in personalization, and hard-to-replicate experience.
An excellent teacher often takes years to develop, relying on individual talent and accumulated experience. Once a star teacher leaves, teaching quality and student resources are lost along with them. Institutions constantly face the risk of teacher gaps, making it difficult to stabilize core competitiveness.
Every student has different learning foundations, habits, and absorption abilities, but traditional teaching models can only deliver unified progress and content. Teaching according to aptitude sounds easy but is extremely costly to implement and cannot be scaled up.
Leading institutions have accumulated decades of teaching methods, problem-solving techniques, and learning progress analysis experience, but it's all scattered in the minds of senior teachers. When teachers leave, experience resets to zero. Knowledge assets cannot be institutionalized, capitalized, or passed down.
The entire education and training industry lacks unified AI teaching service standards and quality regulations. Small institutions seize market share with low prices and false advertising, while legitimate leading institutions are at a competitive disadvantage due to high educational research costs.
Traditional learning progress analysis relies on teachers' manual observation and experience judgment, with few data dimensions, low efficiency, and strong subjectivity. It's difficult to precisely identify each student's knowledge gaps and learning bottlenecks, let alone provide targeted improvement plans.
Co-building education AI infrastructure with KHB is not just a technological upgrade, but a strategic positioning. You will upgrade from an "industry participant" to an "industry rule-maker."
Jointly release the "Education & Training AI Teaching Service Standard", and lead the establishment of the Education AI Alliance. Your teaching methods become the industry standard, and your curriculum system becomes the reference point for the entire industry. While other institutions are still in "teaching involution," you're already defining what "good teaching" means. This is not a simple technological upgrade, but a strategic positioning of industry discourse power. Once standards are established, education institutions across the industry will follow the rules you define, and your institution will become the industry-recognized benchmark and leader.
You've accumulated decades of teaching methods, curriculum systems, educational research achievements, learning progress analysis models... These used to be just "internal assets," but now they can become licensable, chargeable, and replicable industry knowledge bases. Small and medium-sized institutions across the industry will pay for your knowledge. Your experience no longer drains away with personnel turnover, but continuously generates "passive income." Imagine: tens of thousands of education institutions nationwide, each using the teaching standards and curriculum systems you define, every call generating revenue for you.
No need to build your own AI team, no need to invest tens of millions in hardware — directly access the industry's top AI capabilities. Personalized learning for every student, 5x improvement in teaching efficiency, AI teaching assistants available 24/7 for Q&A, fully automated and comprehensive learning progress analysis. Your institution will be the first to complete AI upgrading, with significantly reduced operating costs and notably improved teaching quality, widening the gap with competitors. More importantly, you gain the "industry standard-setting power" that no one else has, a moat deeper than technology itself.
The joint venture company is not a simple collaboration project, but an independent industrial AI platform. As industry penetration increases, the valuation of the joint venture will continue to grow. You not only receive annual dividends but also enjoy capital returns from equity appreciation. Referring to the valuation logic of vertical industry AI platforms in legal, healthcare, and other fields, an education AI platform that holds industry standard-setting power has a much higher valuation ceiling than a single education institution. This is an identity leap from "education operator" to "industry platform shareholder."
Not simply "deploying an AI system," but a complete industrial AI infrastructure from knowledge base and standards to services. Each piece has clear deliverables and value.
China's education market continues to grow rapidly, yet AI penetration is less than 4%. The first player to establish industry standards will reap the largest market dividends.
Education institutions at different development stages have different collaboration needs. We offer three tiers of collaboration depth, we recommend starting with medium collaboration and gradually upgrading to deep collaboration.
From intention submission to co-build launch, the average cycle is 60-90 days. Each step has clear deliverables and milestones, trackable and quantifiable.
Fill out the exclusive education track application form, submit basic information such as institution qualifications, business scale, and knowledge base status. The KHB Strategic Cooperation Team will provide preliminary review feedback within 5 business days.
Assess core indicators such as the institution's industry position (whether it's a leader), knowledge assets (whether sufficiently accumulated), collaboration willingness (whether determined for deep cooperation), and decision-making efficiency (whether able to advance quickly).
Senior executives from both sides engage in in-depth dialogue to clarify core topics such as co-build direction, collaboration tier, equity framework, and investment division of labor. This is a critical step in reaching strategic consensus and typically requires 1-2 rounds of in-depth exchanges.
Form a joint preparation team. KHB sends a technical lead, and the education institution sends a business lead to jointly complete core documents such as the project proposal, business plan, knowledge base inventory list, and implementation roadmap.
Officially sign legal documents including the joint venture agreement, knowledge authorization agreement, standard co-build agreement, and confidentiality agreement. Clarify key terms such as equity ratio, investment valuation, revenue distribution, and governance structure.
The joint venture is officially established, launching computing deployment, knowledge sorting, model training, standard drafting, and other work. Typically, the first phase of the knowledge base goes live within 30 days after signing, and the industry standard white paper is released within 6 months.
We co-build with only 1-2 leading enterprises per track, and only 1 spot remains in the education track.
First come, first served — seize the window of opportunity for industry AI standard-setting.
Hotline: 4006801888 · WeChat/QQ: 722496 / 489562