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Real Estate Track · Invitation-Only Strategic Co-Build

Turn Your Real Estate Experience
Into Industry-Wide Standards

Customer profiles, property viewing scripts, transaction SOPs, market analysis… accumulated over a decade. Once just your internal assets. Now, they can become "Real Estate AI Standards" that the entire industry pays to use. KHB provides computing power, technology, and teams; you provide knowledge, property listings, and channels. Strategic joint venture to co-build the AI infrastructure for the real estate industry.

10T+
China Real Estate Services Market Size 2026
85%
Agencies Lack AI Capabilities
1 Spot
Only 1 Spot Left in This Track

Five Core Challenges in Real Estate

The real estate industry is at the intersection of the stock era and digital transformation. Leading institutions hold valuable experience, yet face deep challenges of heavy talent dependency, low matching efficiency, and difficulty in replicating expertise.

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Top Brokers Hard to Train, Turnover Rate as High as 40%

A mature real estate broker requires at least 1-2 years of training, relying on personal experience and network resources. When top brokers leave, client resources and sales capabilities go with them, leaving institutions constantly at risk of talent gaps.

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Low Client Matching Efficiency, Poor Property Viewing Conversion

Traditional real estate matching relies on brokers' personal experience, with inaccurate insights into client needs and poorly targeted property viewings. Numerous inefficient property viewings waste labor costs, transaction cycles are long, and overall conversion rates are hard to break through.

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Premium Experience Locked in Senior Brokers' Minds, Cannot Be Accumulated

Leading institutions have accumulated over a decade of property viewing techniques, transaction scripts, negotiation experience, and client profile analysis, but it's all scattered in the minds of senior brokers. When employees leave, experience resets to zero — knowledge assets cannot be institutionalized or capitalized.

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Lack of Industry Standards, Service Quality Varies Widely

The entire real estate industry lacks unified AI service standards and quality specifications. Small agencies seize market share with low prices and false promises, while legitimate leading institutions are at a competitive disadvantage due to higher service costs.

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SMEs Have Weak Digital Capabilities, Competition Intensifies

The market shifts from incremental to stock, with increasingly fierce competition. Small and medium-sized brokerage agencies lack the technical capabilities and capital investment for digital transformation, gradually losing competitiveness in the AI era wave and facing the risk of elimination.

Core Contradiction: Leading real estate institutions have experience, clients, and scenarios, but lack AI technical capabilities and computing infrastructure; AI companies have technology and computing power, but lack deep knowledge and implementation scenarios in the real estate industry. Both sides operate independently, causing real estate AI to remain at a "shallow application" level, unable to truly drive industry transformation.

Four Values, Redefining Industry Influence

Co-building real estate AI infrastructure with KHB is not just a technology upgrade — it's a strategic positioning. You will upgrade from "industry participant" to "industry rule-maker."

01

Define Industry Standards — From Real Estate Agency to Rule-Maker

Jointly release the Real Estate AI Service Specification, and lead the establishment of a real estate AI alliance. Your experience becomes the industry standard; your SOPs become the reference framework for the entire industry. While other institutions are still "competing on service," you're already defining what "professional" means. This is not a simple technology upgrade, but a strategic positioning of industry influence. Once standards are established, all real estate institutions across the industry will follow the rules you define, and your institution will become the industry-recognized benchmark and leader.

02

Knowledge Asset Monetization — Let Experience Generate "Passive Income"

You've accumulated over a decade of client profiles, property viewing scripts, transaction SOPs, market analysis methods, negotiation strategies… These used to be just "internal assets," but now they can become an industry knowledge base that's licensable, chargeable, and replicable. Small and medium-sized institutions across the industry will pay for your knowledge. Your experience no longer walks out the door with employees, but continuously generates "passive income." Imagine this: hundreds of thousands of brokerage agencies nationwide, each using the service standards and matching logic you define, every call generating revenue for you.

03

Capability Leap — 3x Client Matching Efficiency, Doubled Property Viewing Conversion

No need to build your own AI team, no need to invest tens of millions in hardware — directly obtain the industry's top AI capabilities. 3x client matching efficiency, doubled property viewing conversion rate, intelligent client acquisition, broker training cycle shortened from 1-2 years to 1-2 months. Your institution will be the first to complete AI upgrading, with significantly reduced operating costs and markedly improved service quality, widening the gap with competitors. More importantly, you gain "industry standard-setting power" that others don't have — a moat deeper than technology itself.

04

Equity Appreciation Returns — Real Estate AI Platform Valuation Ceiling Far Higher Than Single Brokerage

The joint venture company is not a simple cooperation 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 AI platforms in vertical industries like law and healthcare, a real estate AI platform that holds industry standard-setting power has a valuation ceiling far higher than a single real estate brokerage agency. This is a leap from "real estate operator" to "industrial platform shareholder."

What We Build Together

Not simply "deploying an AI system," but a complete industrial AI infrastructure from knowledge base and standards to services. Every piece has clear deliverables and value.

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Real Estate Knowledge Base

  • Real estate consulting script library
  • Client profile analysis models
  • Property viewing SOP library
  • Market analysis database
  • Transaction negotiation strategy library
  • Property matching engine
  • Compliance review rule library
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Industry Standards

  • Real Estate AI Service Specification
  • Real estate AI capability assessment standards
  • Real estate data compliance guidelines
  • Real estate AI ethics guidelines
  • Brokerage AI service specifications
  • Industry whitepaper publication
  • Industry alliance formation leadership
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Industrial Services

  • Intelligent matching SaaS
  • AI consulting system
  • Knowledge base licensing
  • Real estate AI certification
  • Agency AI capability assessment
  • Managed operations
  • Customized solutions
What makes the co-build model unique: The leading enterprise is not the "client," but a "co-founder." Every set of scripts, every case, every matching rule you contribute will become a core asset of the joint venture company, continuously generating revenue. This is not a procurement project, not outsourced development — it's a strategic-level partnership between two industry players, jointly building an AI infrastructure platform for the entire industry.

Real Estate AI is a 10-Trillion Blue Ocean

China's real estate services market continues to expand, yet AI penetration is less than 4%. The first player to establish industry standards will reap the largest market dividends.

10T+
China Real Estate Services
Market Size 2026
200K+
Real Estate
Brokers Nationwide
<4%
Real Estate Industry AI
Penetration Rate
50%/yr
Real Estate AI Market
CAGR
How big is the first-mover advantage? In any industry, the first player to set AI standards typically captures over 60% of market share. This isn't the difference between "doing it early or late" — it's the difference between "the one who makes the standards" and "the ones who use them." When the entire industry uses the standards you define, you become the rule-maker of this industrial AI era, and all latecomers must follow your path. The real estate industry is currently in a "window period" for AI standardization. Whoever strikes first occupies the most advantageous position.

Three Tiers, Choose One

Real estate 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.

Light Collaboration
Standard Co-Build · First Step
KHB Investment
  • AI tech stack support
  • Partial computing resources
  • Standard drafting guidance
Institution Investment
  • Knowledge authorization license
  • Expert annotation support
  • Scenario validation environment
Deliverables
  • Real Estate AI Standards Whitepaper
  • Joint industry authorship
  • Standard publication rights
Deep Collaboration
Joint Venture · Strategic Level
KHB Investment
  • Full computing infrastructure
  • AI technology + full team
  • Equity participation (35%)
  • Joint operations management
Institution Investment
  • Knowledge + channels + clients
  • Co-build fund + equity
  • Industry resource integration
Deliverables
  • Industrial AI joint venture company
  • Industry-wide service output
  • Equity dividends + appreciation
  • Industry standard-setting power

Six Steps to Start Co-Building

From intent submission to co-build launch, the average cycle is 60-90 days. Every step has clear deliverables and milestones — trackable and quantifiable.

01

Intent Submission

Fill out the exclusive real estate track application form, submitting basic information such as institutional qualifications, business scale, and knowledge base status. The KHB Strategic Partnership Team will feedback preliminary review results within 5 business days.

02

Qualification Pre-Review

Evaluate core indicators including 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).

03

Strategic Discussion

Senior executives from both sides hold in-depth dialogues 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, typically requiring 1-2 rounds of in-depth exchanges.

04

Joint Project Initiation

Form a joint preparatory team — KHB sends a technical lead, and the real estate institution sends a business lead — to jointly complete core documents including the project proposal, business plan, knowledge base inventory list, and implementation roadmap.

05

Joint Venture Signing

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.

06

Launch Co-Build

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 standards whitepaper is published within 6 months.

Co-Build with KHB
Real Estate Industry AI Infrastructure

Each track partners with only 1-2 leading enterprises. Only 1 spot left in the real estate track.
First come, first served — seize the window of opportunity for industry AI standard-setting.

Hotline: 4006801888 · WeChat/QQ: 722496 / 489562