AI Reconstructs the "Industrialized" Process of College Admission Consulting, and Siliheng Seeks Seed Round Financing
36Kr has learned that "Silheng Planning", an O2O service trading platform focusing on the education and career planning field, has completed the initial system setup and is seeking a seed - round financing of RMB 5 million. In this round of financing, 20% of the equity is planned to be sold, and the funds will be mainly used for in - depth research and development of AI matching algorithms and SaaS systems, supply - chain construction, and MVP (Minimum Viable Product) verification in the first - batch markets.
Addressing Pain Points: The "Deadlock" of the Fragmented Market and the Trust Crisis
Against the background of the current new college entrance examination reform, there are a wide variety of college application combinations, and parents are facing severe information overload. However, the consulting market that caters to this anxiety is in an extremely fragmented state, like a "horde of ants". On the demand side, high - value services lack a transparent evaluation system; on the supply side, most high - quality consultants are self - employed or part - time workers, spending 90% of their energy on customer acquisition and administrative affairs, making it difficult to achieve scale.
The Silheng Planning team believes that the core reason why the industry cannot form a closed - loop lies in the frequent "client bypassing" and lack of quality control at the transaction end. The long - cycle service process makes it easy for consultants to conduct private transactions, and due to the lack of standardized SOP (Standard Operating Procedure), the delivery quality completely depends on personal conscience. In response to this situation of supply - demand imbalance and lack of trust, Silheng Planning does not intend to be an intermediary that earns price differences but aims to build an "industry exchange" that provides credit.
Model Reconstruction: "Industrialized" Production with AI Triage and Dual - Teacher Collaboration
Different from traditional matching platforms, the core competitive advantage of Silheng Planning lies in the innovative model of "AI intelligent triage + hybrid dual - teacher delivery + SaaS full - process control". The project creatively introduces the logic of "hospital - like consultation": after users input their profiles, AI acts as a "triage desk" to recommend senior experts (L3) as "attending physicians" responsible for key decisions, and the system automatically assigns planners (L1) as "bed - side doctors" responsible for daily data collection and plan preparation. This division - of - labor model that breaks down non - standard services into standard processes not only solves the production - capacity bottleneck of well - known teachers but also significantly reduces marginal costs through "industrialized production".
To solve the problems of "client bypassing" and quality control, the platform has built a double firewall of "technology + system". The consultant SaaS workbench developed by the platform is equipped with an AI Copilot, which can capture keywords in real - time during video consultations and pop up data support. Once consultants leave the platform, they will lose this "cheat", thus building a high barrier for migration costs. At the same time, the project implements a strict "3 - 3 - 3 - 1" milestone - based fund - release mechanism and requires all college application plans to be verified by the platform's AI logic and reviewed and signed by L3 experts. Plans without signatures cannot be delivered, thus eliminating private transactions and quality risks in terms of the system.
Business Path: From the Mandatory College Entrance Examination Demand to Decade - long LTV Mining
In terms of business - model design, Silheng Planning chooses the mandatory and high - value college entrance examination application service as the traffic entry point, and the platform charges a technical service fee of 25% - 30%. After attracting consultant resources through SaaS tools, the project plans to use the accumulated personality and interest data to automatically push freshmen navigation, postgraduate entrance examination, and job - hunting planning services in the subsequent stages, extending the service chain to K12 academic planning and college students' career counseling, and mining the 10 - year lifetime value (LTV) of users.
According to financial forecasts, during the MVP verification stage (Year 1), the project aims to focus on a single large province for the college entrance examination, plans to recruit 100 seed consultants and serve 1,000 families, and is expected to achieve a GMV of RMB 10 million. With cross - regional expansion and category extension, the project is expected to experience an ecological explosion in the third year, and the GMV is expected to exceed RMB 450 million.
Team Vision and Development Blueprint
This project was founded by Liu Peng, who has a master's degree from the University of Chinese Academy of Sciences and more than a decade of experience in Internet product development. The team is well aware that a simple "teacher - finding" software cannot change the industry ecosystem, and a new type of production relationship must be established. Currently, although the project is in the development stage, it has established preliminary cooperation with dozens of career planning consultants, laying a foundation for the subsequent service implementation. In the future, Silheng Planning will strive to become an ecosystem connecting a large number of parents and high - quality consultants, and promote the standardization, inclusiveness, and intelligence upgrade of the education consulting industry through AI - enabled efficiency improvement, platform - based connection, and a reasonable profit - sharing mechanism.