Our Strategic Partners

Background

This aesthetics group is a leading chain aesthetic institution in China, with 100+ clinics in 30+ cities, serving over 1 million clients annually. With rapid business expansion, the group faces three major pain points: inconsistent consultant quality making service standardization difficult; massive customer data sleeping in CRM systems with untapped value; and intensifying industry competition requiring a new technology moat.

Group executives have deep understanding of AI's value and previously tried building an in-house AI team, but progress was slow due to limited tech stack and talent recruitment challenges. After learning about the KHB Super Brain Head Plan, it was a perfect match—exactly the deep cooperation model they had been looking for.

Cooperation Model

Both parties established a joint venture company. KHB contributes technology, computing power, and algorithm team as equity; the group contributes data resources, channel resources, and operation team as equity. The JV focuses on R&D and operation of medical aesthetics AI products, first landing and validating within the group, then outputting to the entire industry when mature.

First phase focuses on three major products: AI consultation assistant (helping consultants provide professional, standardized consultation services), AI decision support system (recommending the most suitable project plans based on customer profiles), and smart operations platform (data-driven full customer lifecycle management).

Results

What Both Sides Say

Group CEO: "Our cooperation with KHB is not simply technology procurement—it's a true strategic alliance. The KHB team's professionalism and execution exceeded expectations. More importantly, they understand industry and operations—they're not just tech nerds who write code. Just 8 months after the JV was established, core products were fully deployed, and the results far exceeded our expectations."

KHB Project Lead: "This aesthetics group has one of the best data quality and team execution capabilities among all our partners. Their deep industry understanding combined with our AI technology capabilities created fantastic chemistry. This project validates the enormous potential of the 'industry leader + AI technology' model."

Background

This construction machinery manufacturer is a top-3 industry leader in China, with annual revenue exceeding ¥20 billion and products exported to over 100 countries worldwide. As a typical asset-heavy manufacturing enterprise, they face two core pain points: production line quality inspection relying on manual labor—low efficiency, high cost, and easy to miss defects; and huge losses from equipment downtime, with traditional periodic maintenance being wasteful and unable to completely prevent unexpected failures.

The company previously tried partnering with some AI companies, but most were project-based point solutions with limited effects that couldn't precipitate as core enterprise capabilities. What they needed wasn't a project, but an industrial AI infrastructure capable of continuous evolution.

Cooperation Model

Both parties adopted a "joint venture + joint lab" model. The JV focuses on commercial operation of industrial AI products, while the joint lab focuses on cutting-edge technology research and talent cultivation. KHB invests AI technical team, computing infrastructure, and algorithm framework; the enterprise invests industrial data, industry experts, and application scenarios.

Cooperation is divided into three phases: Phase 1 focuses on quality inspection scenarios, using AI to replace manual visual inspection; Phase 2 expands to predictive maintenance, forecasting failure risks based on equipment operation data; Phase 3 builds an industrial AI platform, opening and outputting capabilities to the entire industry chain upstream and downstream.

Results

What Both Sides Say

Group CTO: "Manufacturing AI transformation doesn't happen overnight—it requires long-term investment and accumulation. The JV model with KHB allows us to focus on doing truly valuable things rather than chasing short-term project delivery. Over a year of practice proves this path works, and the value far exceeds expectations."

KHB Tech Director: "The biggest challenge in industrial AI isn't algorithms—it's data and scenarios. This enterprise provided us with excellent application scenarios and high-quality industrial data, giving our algorithms a place to shine. More importantly, their engineering team is very professional, and collaboration efficiency between both sides is high."

Background

This law firm alliance was jointly initiated by multiple top law firms in China, with thousands of practicing lawyers covering corporate legal, litigation, intellectual property and other fields. The legal service industry has very prominent pain points: lawyers spend大量 time on repetitive work (like contract review, legal research); long training cycles for new associates; and service quality heavily influenced by individual lawyer levels.

The alliance long ago realized AI's transformative impact on the legal industry, but legal is an extremely specialized profession where general-purpose large models simply cannot meet needs. What they needed was industry AI solutions that truly understand law and can be implemented.

Cooperation Model

Both parties jointly established a legal AI technology company. Law firms within the alliance system serve as first users and knowledge providers, while KHB provides technical capabilities and computing power support. The JV adopts a "technology + data + scenarios" three-wheel drive model, first refining products within the alliance, then promoting to the entire legal service industry when mature and validated.

Product matrix includes: smart contract review (automatically identifying risk clauses, providing revision suggestions), legal intelligent search (natural language search for laws, cases, viewpoints), AI lawyer assistant (assisting document drafting, case analysis), and corporate legal platform (one-stop enterprise legal affairs management).

Results

What Both Sides Say

Alliance Chairman: "Legal + AI isn't about replacing lawyers—it's about freeing lawyers from repetitive work to focus on more valuable creative work. Our cooperation with KHB shows us the true potential of legal tech—it's not just a tool, it's an infrastructure upgrade for the entire industry."

KHB Product Lead: "The legal industry has a very high knowledge threshold. We spent a lot of time refining products together with lawyers. This process was tough, but the results are inspiring. When we see senior lawyers relying on our products every day, that sense of achievement is unparalleled."

Background

This education technology group is a leader in vocational education in China, with over 10 million cumulative students and massive learning data and teaching content. Against the backdrop of industry policy adjustments and intensifying market competition, the group urgently needs to build new core competitiveness through technological innovation. AI + Education was identified as the group's core strategic direction.

However, AI education isn't simply "AI + content"—it requires deep understanding of the learning process. The group previously tried various AI education products, but most停留在 shallow "smart recommendation" applications unable to truly achieve personalized learning.

Cooperation Model

Both parties established an education AI joint venture to jointly build an AI-driven smart learning platform. KHB is responsible for AI R&D and computing power support, while the group is responsible for teaching content, operations, and marketing. The JV's mission is "giving every learner a personal AI tutor."

Core product capabilities include: smart learning path planning (customizing optimal learning paths based on learner foundation and goals), AI Q&A (24/7 real-time Q&A with accuracy approaching human teachers), learning effectiveness tracking (real-time tracking of learning status, dynamic adjustment of learning plans), and knowledge graph construction (structured subject knowledge system, precise定位 weak points).

Results

What Both Sides Say

Group Chairman: "The essence of education is teaching according to aptitude, but in the traditional model, one teacher faces dozens or hundreds of students—truly personalized learning is impossible. AI makes personalized teaching possible. Our cooperation with KHB is one of the most correct strategic decisions in our group's digital transformation."

KHB Algorithm Lead: "Education AI is one of the most socially valuable application directions. Seeing our technology truly help millions of learners—that sense of achievement cannot be measured in money. More importantly, this JV project has given us a lot of education AI know-how that can迁移 to many other industries."