AI Property Owner Relationship Management System, Lvsiyuanli plans to raise 5 million yuan in financing

The property management industry is shifting from expansion driven by new project acquisitions to improving the operational efficiency of existing properties. As the growth rate of real estate development slows down, property enterprises need to address operational challenges such as direct owner relationship management and project cash flow more proactively.

Public data shows that in 2025, the residential property fee collection rate for top 100 property enterprises reached 82.3%, a year-on-year decrease of 2.4 percentage points, while residential property service satisfaction dropped to 73.2 points; the CRRIC Property Management Research Center revealed that the average collection rate for top 500 property enterprises stood at 71%. While different statistical institutions use varying sample sets and calculation methodologies, the results all reflect the industry trend of mounting pressure on property fee collection and declining owner service experience.

Responding to this demand, "LawsPrime", an AI-powered owner relationship management platform tailored for the property management industry, has recently been launched. Based on communication data between property stewards and owners, the project uses artificial intelligence to analyze owner demands, service issues, and payment willingness, providing property managers with tools for communication suggestions, task collaboration, and process supervision.

According to data provided by the project team, LawsPrime has signed contracts with more than 20 large and medium-sized property enterprises, including 3 listed property firms. As of the second quarter of 2026, the platform covers approximately 177,300 households, involving a total property fee amount of about 856 million yuan. Currently, the project plans to raise 5 million yuan in financing, which will be mainly invested in sales system construction, product R&D, and computing power and other technical infrastructure.

I. Shifting from "Property Management" to Owner Relationship Management

At present, information systems used by property enterprises mainly cover business functions such as property files management, fee collection, work order reporting and dispatching, and equipment management. While these systems can record service outcomes, they often fail to fully capture the complete communication process between property staff and owners.

In actual business operations, property stewards handle owner issues through phone calls, WeCom, SMS, or offline interactions, with relevant information scattered across different accounts, terminals, and business systems. Project managers usually can only view metrics like complaint volume, work order completion rate, and property fee collection status. They struggle to identify the specific reasons why owners refuse to pay property fees, nor can they detect procedural issues such as unfulfilled service commitments, recurring problems, or improper communication methods.

LawsPrime aims to fill this exact gap. With authorization from property enterprises and in compliance with personal information protection, data security, and internal enterprise management requirements, the platform can integrate communication data from phone calls, WeChat, SMS, meeting records, and business work orders. Using large language models and natural language processing technology, the system conducts structured analysis of communication content, identifies information such as owner demands, emotional changes, disputed matters, responsible parties, and payment willingness, and generates a continuously updated owner relationship profile.

Based on the analysis results, the platform can recommend the next communication priorities, appropriate contact times, and handling solutions for property stewards. For example, when an owner refuses to pay due to a long-standing unresolved maintenance issue, the system will redirect the task from simple fee collection to problem verification, responsibility coordination, and service recovery, and prompt managers to track the processing results.

Different from directly using general large language models to generate communication scripts, LawsPrime has built a knowledge base for property service scenarios, incorporating enterprise regulations, historical cases, service standards, and communication strategies for different types of owners into its decision-making process. The platform also records whether the suggestions are adopted, whether tasks are executed, and subsequent changes in payment status and satisfaction levels, ensuring that the analysis results can be continuously used to optimize models and business strategies.

In terms of technical architecture, LawsPrime adopts a layered multi-agent system, assigning tasks such as data sorting, demand identification, task planning, communication suggestions, and outcome review to different functional modules, which are then coordinated through a unified business process. The main purpose of this architecture is to reduce the probability of information omission or result drift when large models handle complex property business through precise context construction, eliminating customers' concerns about results in commercial scenarios.

According to the project team, the platform has accumulated more than 1.5 million records of property communication behaviors. In some launched projects, the adoption rate of system-generated suggestions by frontline staff exceeds 99%.

II. Starting from Property Fee Collection, Charging Based on Performance and Account Subscription

LawsPrime initially selected property fee payment willingness management as its commercialization entry point. Unlike general collection tools, the platform does not merely increase the frequency of phone calls or message outreach. Instead, it attempts to identify the underlying service-related reasons for non-payment, integrating collection, problem handling, and relationship restoration into a single workflow.

According to the project team's statistics, among the cooperative projects currently under evaluation, the average cycle from initiating targeted communication to achieving payment recovery has been shortened from the original 83 days to 13.5 days.

For its pricing model, LawsPrime adopts a hybrid approach combining performance-based payment and SaaS subscription. For property fee payment willingness management services, the project charges service fees based on actual recovered amounts. For standardized functions such as daily owner relationship management, personnel collaboration, and business analysis, it charges annual subscription fees based on the number of manager and property steward accounts.

The target customers for this model are mainly property enterprises with a certain management scale and cross-project management needs. For such clients, procurement decisions do not solely depend on software functions, but also on whether the platform can integrate with existing fee collection, work order, and customer service systems, and deliver quantifiable payment recovery or management improvements within a short cycle.

LawsPrime began its commercialization in the second half of 2025. According to the project team, it generated approximately 250,000 yuan in revenue that year and is expected to reach break-even in September 2026.

The property management industry provides a large customer base for such products. Data from the Fifth National Economic Census by the National Bureau of Statistics shows that by the end of 2023, there were 375,000 corporate property management enterprises nationwide. According to relevant industry research, the total operating revenue of property management corporate enterprises reached about 1.7 trillion yuan in 2023.

III. Team Members with Expertise in Enterprise Services, Data Technology, and Property Management

The LawsPrime project was launched at the end of 2024. Its founder, Zhao Lei, has nearly 20 years of experience in enterprise-level digital service operations, and previously served as Executive Director and Co-CEO of BBD Shulian Dayou. According to information provided by the project team, the digital finance business he oversaw during his tenure generated over 35 million yuan in annual recurring revenue.

The co-founder, Wu Tong, graduated from Shanghai University of Finance and Economics, and previously served as CFO and CTO of BBD. He is mainly responsible for data governance, ontology models, and AI model development, holding 28 technical patents. Core team member Qin Ge has over 20 years of experience in the property management industry, having worked at property enterprises such as Country Garden Services and A-Living Services, providing the product with industry expertise in property fee collection, customer service, and project operations.

This team composition corresponds to three core capabilities required for property technology projects: understanding the software procurement and delivery processes of large enterprises, converting unstructured communication content into computable data, and embedding model analysis results into the daily workflow of property stewards.

After completing the financing, LawsPrime plans to further enhance its capabilities in property fee payment willingness management, and gradually expand the product to cover business scenarios such as daily communication, complaint handling, work order collaboration, service recovery, and management reporting. The long-term product vision is to build on dynamic owner relationship profiles to help property enterprises identify the service needs of different owners, and connect to value-added service scenarios including community retail, housekeeping, and home maintenance.

In terms of market expansion, the project plans to prioritize coverage in the Southwest, Central China, East China, and South China regions, and conduct local sales and implementation through regional partners. However, whether the city partner model can reduce customer acquisition costs while maintaining project delivery and data compliance standards remains a key challenge to address as the project scales up.

A project leader from a cooperative property enterprise stated that previously, projects relied heavily on manual collection by property stewards, making it difficult for management to understand the specific reasons for long-term owner arrears. After LawsPrime was launched, managers can simultaneously view payment progress and frontline service issues, and adjust follow-up strategies accordingly.

As the property management industry enters the stock operation phase, improving collection rates is not just about increasing collection frequency—it relies more on enhancing service quality, information transparency, and owner trust. LawsPrime aims to analyze the existing communication and service data of property enterprises, transforming owner relationship management, which previously depended on the personal experience of property stewards, into a recordable, collaborative, and reviewable business process.