What is 'Qianxun AI Hire' and what is the significance of its recent multi-million dollar financing round?

I'm keenly following developments in AI recruitment technology. Could you provide an overview of 'Qianxun AI Hire' (Shenzhen Yuzhi Tonghang Technology Co., Ltd.) and detail the primary focus and implications of its recent completion of a multi-million dollar Angel Plus financing round?

Best Answer

1970-01-01

Qianxun AI Hire, operated by Shenzhen Yuzhi Tonghang Technology Co., Ltd., is an emerging intelligent recruitment platform leveraging artificial intelligence to optimize hiring processes. The platform aims to bring efficiency and precision to the traditionally labor-intensive task of talent acquisition for businesses.

The recent successful completion of a multi-million dollar Angel Plus financing round signifies strong investor confidence in the company's technology and market potential within the competitive AI Recruitment Platform space.

Financing Details and Key Investors

This latest funding round was led by Zhengxuan Investment. It follows an earlier successful Angel round, which secured several million RMB from Pre-A Innovation (Qianhai Xinnuo). Star Capital served as the long-term financial advisor for the transaction.

Strategic Allocation of Funds

The capital injection is strategically earmarked to fuel several critical areas for growth and development. The primary uses of the funds include:

Technology Advancement: Deepening the self-research and iteration of the underlying technology for their proprietary AI Agents.
Product Enhancement: Upgrading the core product experience to better serve users (both recruiters and candidates).
Talent Acquisition: Recruiting top-tier global AI talent to bolster their technical and research capabilities.
Market Expansion: Focusing on the scaled implementation and landing of their solutions within B-end enterprises and specific industry scenarios.

This focus suggests that Tech Funding will be heavily directed toward R&D to maintain a technological edge and scale deployment across various industry verticals.

Asked by: Asked: 2026-02-03 Share Q&A

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