Product methodologies, Customer Success systems, Implementation SOPs, Growth models accumulated over a decade... Previously they were just your internal assets. Now they can become the "SaaS AI Standard" that the entire industry pays to use. KHB provides computing power, technology, and teams; you provide knowledge, products, and customer scenarios. Strategic joint venture to co-build the AI infrastructure for the SaaS industry.
The SaaS industry is at a critical juncture of AI transformation. Top vendors hold valuable product methodologies and industry experience, yet face deep challenges: scarce AI talent, difficulty scaling Customer Success, and slow product iteration.
Top AI algorithm engineers are extremely hard to find. Building a qualified AI team takes at least 6-12 months, with annual salary costs easily reaching tens of millions. For SaaS vendors, building an in-house AI team has extremely low ROI and enormous risk.
Customer Success team expansion can never keep up with customer growth. A Customer Success Manager can only serve a limited number of clients, service quality varies, and renewals and upsells are highly dependent on individual ability — making scale replication difficult.
AI technology evolves rapidly, with competitors launching AI features to capture market share. Traditional SaaS products have long iteration cycles and AI feature development is challenging. By the time you catch up, market share has already been eroded by competitors.
You've accumulated over a decade of product methodologies, implementation SOPs, and Customer Success experience, but they're all scattered in the minds of your core team. Employee turnover takes away valuable experience, and knowledge assets cannot be systematized, replicated, or monetized — it's always "rule by people" rather than "rule by systems."
Small and mid-sized SaaS vendors lack both technology and capital, helpless in the face of the AI wave. They crave AI capabilities but cannot build them in-house. The market lacks reliable, quickly integrable industry-level AI solutions, making the transformation path extremely difficult.
Co-building SaaS AI infrastructure with KHB is not just a technical upgrade — it's a strategic positioning move. You will upgrade from an "industry participant" to an "industry rule-maker."
Jointly release the SaaS AI Integration Specification, and lead the establishment of the SaaS AI Alliance. Your product methodology becomes the Industry Standard, and your Customer Success system becomes the reference benchmark for the entire industry. While other vendors are still caught in "AI involution," you're already defining what "AI Standard" means. This is not a simple technical upgrade, but a strategic positioning of industry influence. Once standards are established, all SaaS vendors in the industry will follow the rules you define, and your brand will become the industry-recognized benchmark and leader.
You've accumulated 10 or 15 years of product methodologies, Customer Success systems, implementation SOPs, growth strategies... These were previously just "internal assets," but now they can become licensable, chargeable, replicable industry knowledge base. Small and mid-sized SaaS vendors across the industry will pay for your knowledge. Your experience no longer drains with employee turnover, but continuously generates "passive income." Imagine this: tens of thousands of SaaS vendors nationwide, each using the product standards and Customer Success systems you define, every call generating revenue for you.
No need to build an in-house AI team, no need to invest tens of millions in hardware — directly gain the industry's top AI capabilities. Customer Success efficiency improves by 3x+, product AI features launch quickly, implementation cycles are significantly shortened, and customer service costs are markedly reduced. Your product will be the first to complete AI upgrading, widening the gap with competitors. More importantly, you gain "industry standard-setting power" that others don't have — a moat deeper than technology itself.
The joint venture is not a simple cooperation project, but an independent industrial AI platform. As industry penetration increases, the joint venture's valuation 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, a SaaS AI platform that holds industry standard-setting power has a far higher valuation ceiling than a single SaaS product. This is an identity leap from "SaaS operator" to "industrial platform shareholder."
It's not simply "deploying an AI system," but a complete industrial AI infrastructure from knowledge base and standards to services. Each component has clear deliverables and value.
China's SaaS market continues to grow rapidly, yet AI integration rate is less than 7%. The first player to establish industry standards will reap the largest market dividends.
SaaS vendors at different stages have different collaboration needs. We offer three tiers of partnership depth, and recommend starting with the medium tier and gradually upgrading to deep collaboration.
From submitting intent to launching co-build, the average cycle is 60-90 days. Each step has clear deliverables and milestones, trackable and quantifiable.
Fill out the SaaS track-specific application form, submitting basic information such as vendor qualifications, business scale, and knowledge base status. The KHB Strategic Partnership Team will feedback pre-screening results within 5 business days.
Assess core indicators including industry position (whether top-tier), knowledge assets (whether sufficiently accumulated), collaboration willingness (whether determined for deep partnership), and decision efficiency (whether able to move quickly).
In-depth dialogue between senior leadership of both sides to clarify core topics such as co-build direction, partnership tier, equity framework, and investment division of labor. This is a critical step in reaching strategic consensus, typically requiring 1-2 rounds of in-depth exchanges.
Form a joint preparation team. KHB sends a technical lead, and the SaaS vendor sends a business lead. Together, they complete core documents including the project proposal, business plan, knowledge base inventory list, and implementation roadmap.
Officially sign legal documents including the joint venture agreement, knowledge licensing 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 formally established, commencing work on computing deployment, knowledge structuring, model training, and standard drafting. Typically, the first phase of the knowledge base goes live within 30 days after signing, and the industry standards white paper is published within 6 months.
Each track co-builds with only 1-2 top enterprises. Only 1 spot left in the SaaS track.
First-come, first-served. Seize the window for setting industry AI standards.
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