en.Wedoany.com Reported - On June 25, China's AI human resources supply chain company Xingyi Intelligence announced the completion of a tens of millions angel round financing. This round was led by China Pudong Venture Capital, with follow-on investment from China L2F Light Source Entrepreneur Fund, and China Light Source Capital serving as the incubator and exclusive financial advisor. The funds will be primarily used for market expansion of its core business "Express Onboarding," continuous iteration of its proprietary KYMS AI Competency Engine, and team expansion.
Xingyi Intelligence, officially named Shanghai Xingyi Infinite Intelligent Technology Co., Ltd., focuses on addressing frontline staffing needs in the service industry. Unlike traditional recruitment platforms that emphasize information matching, "Express Onboarding" prioritizes outcome delivery. It integrates job understanding, candidate outreach, AI screening, willingness assessment, intelligent invitation, interview management, onboarding delivery, retention tracking, and data feedback into a complete workflow tailored to the staffing needs of chain stores. For chain restaurants, retail, and local life service enterprises, frontline recruitment often faces challenges such as urgent demand, high turnover, dispersed store locations, and unstable onboarding. Simply posting job openings cannot directly resolve labor shortages.
The core value of "Express Onboarding" lies in advancing recruitment from process management to delivery management. When a store submits a staffing request, the system quickly identifies job requirements, shift schedules, location, and urgency. It then leverages AI capabilities for candidate matching, communication screening, and onboarding follow-up. Since its launch, the product has served chain brands including KFC in Shanghai, China, Ba Niu Hotpot, Guming, Chef Fei, and Yizuo Yi Wang. In typical store scenarios, the business has achieved talent response and onboarding delivery within 48 hours, adopting a results-oriented fee model of "pay upon onboarding, settle upon retention."
The KYMS AI Competency Engine is a key focus for iteration following this financing round. Targeting frontline positions in the service industry, this engine transforms the long-accumulated hiring experience of recruitment consultants and store managers into reusable model capabilities. It assesses the match between candidates and job roles, stores, shifts, and brand service requirements. While frontline service positions may seem low-barrier, actual delivery must consider factors like stability, service awareness, commute distance, shift compatibility, work intensity tolerance, and willingness to join. A single resume can hardly cover these variables.
For chain brands, the faster the store expansion, the more critical the talent supply chain becomes. When a brand grows from dozens to hundreds or thousands of stores, frontline recruitment is no longer just an HR department routine but directly impacts new store opening pace, single-store operational quality, and regional expansion efficiency. By targeting high-frequency staffing scenarios like chain restaurants, Xingyi Intelligence can train standardized delivery processes across numerous repetitive positions, making it easier to solidify AI screening, invitation, and retention models into a replicable system.
After this financing round, Xingyi Intelligence will continue to expand the market coverage of "Express Onboarding" and promote the application of the KYMS AI Competency Engine in more service industry scenarios. As the chain rate in the service industry increases, frontline talent supply will shift from fragmented recruitment to systematic operations. AI-powered human resources supply chains will evolve from auxiliary recruitment tools into infrastructure connecting enterprise job needs, candidate resources, and store delivery outcomes. Future progress will depend on its cross-industry replication capability, customer retention rates, and the stability of the results-oriented fee model across larger store networks.
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