The AI interview evaluation platform “Haina AI” received tens of millions of Pre-A round of financing, quantified the selection and employment standards, and built a job talent model

Author | Shen Xiao

Editor | Wang Yutong

36 Krypton learned that recently, the AI interview evaluation platform Hina AI (Hina.com) completed tens of millions of yuan Pre-A round of financing, which was jointly invested by Amoeba Capital and Jizhi Future. This round of financing will be used for product research and development investment And marketing system to further expand product penetration and market share.

Haina AI is a HR SaaS product in the vertical field of talent recruitment launched by Beijing Qunxing Shining Technology Co., Ltd. in early 2019. The founder Liang Gongjun is the former technical consultant of Microsoft and the founder of Xianguo.com (KPCB investment/used to be the largest personalized information platform in China). Since 2015, he has invested in dozens of enterprise service and AI start-ups, including Huoyan Cloud (GSR Capital A+ round) and Big Fish (Kola Fund A round). Haina AI was jointly invested and launched by founder Liang Gongjun, Microsoft Group Vice President Dr. Zeng Nanshan (in charge of Azure AI), former Korn Ferry partner Steve Jiang and other AI and HR experts.

36 Krypton has also been reported before . Compared with before, Haina’s core product modules have undergone major changes. Behind this change, on the one hand, the market competition pattern is becoming clearer and the market competition is intensifying. On the other hand, service providers in the vertical field have certain development limitations, including limited applicable job types and scenarios, and the inability to independently establish a closed business loop to support large-scale development.

Although China’s HR SaaS industry still has a lot of room for development compared with mature markets such as the United States, in recent years, domestic enterprises have gradually awakened their demand for digital transformation of human resource management, and a large number of HR SaaS service providers have emerged. At the same time, after several years of development, there have been some comprehensive service providers with a relatively high share in the market. Due to the existence of the Matthew Effect, quickly occupying the market is of great significance for enterprises to gain a firm foothold in future competition.

Therefore, product differentiation and specialization are particularly important for Haina AI and vertical field service providers such as Niuke.com, Avocado Technology, and Jinyu Intelligence, which also provide AI video interview services.

After Haina AI has undergone a series of strategic adjustments, it has a relatively clear idea in these two aspects, which will help it build a competitive advantage.

In terms of product differentiation, Haina AI focuses on the quantification of personnel selection and employment standards and the establishment of job talent models to help companies achieve precise recruitment of talents. At present, Haina AI mainly provides services such as AI interviews, online examinations, psychological assessments, and background investigations for enterprises in various recruitment scenarios such as school recruitment, serious examinations, automated interviews for basic positions, and engineer coding examinations. According to founder Liang Gongjun: “The current sub-product lines of Haina generally do one thing, that is, ‘quantitative interview evaluation of talents’, and finally output a video-based interview that includes almost all dimensions of candidates. Super Evaluation Report.”

In terms of product specialization, Haina AI first focuses on the optimization of service experience, such as the simplification of the operation interface and the improvement of the stability of the interview system; second, it emphasizes the optimization of product technology. Haina AI has established an AI technology base covering three evaluation dimensions of image, voice and semantics, integrating face detection and attribute analysis technology, semantic understanding and intent recognition technology, ASR automatic speech recognition technology, and text emotion feature recognition technology. And continuously iterate the intelligent evaluation model based on interview evaluation and employee performance data.

So far, Haina AI has built dozens of structured and quantitative job employment models, serving SF Express, Wal-Mart, ZTE, Geely, China Merchants Bank and other top 500 groups, with more than 5 million users.

However, it should be noted that although Haina AI products and market positioning are gradually becoming clear, the market and user needs themselves are not static. Liang Gongjun, the founder of Haina AI, told 36 Krypton: “In the past few years, Haina’s customers were basically large groups with more than 50,000 people. In the past year, more and more small and medium-sized companies with hundreds of people and thousands of people have also turned to use Heiner products. At the same time, with the continuous deepening of the country’s “One Belt, One Road” global strategy, the globalization of production capacity and business globalization of domestic enterprises, followed by the globalization of employment talents. Now there are many big customers Make such a request to Heiner.”

How to respond to changes in the market and user needs is a challenge that Haina AI needs to solve in the future.

First of all, with the increasing awareness and acceptance of HR SaaS products in the domestic market, the demand for full-link digitalization of human resource management by large groups will increase, and the single-point application demand of small and medium-sized enterprises will also be further activated. This is also reflected in Haina AI’s market data this year.

Haina AI needs to think about two points. One is how to build a cooperation network, maintain and expand new large-scale group customers, especially whether to rely on the differentiated and specialized products that the company is trying to create, and reach a cooperative relationship with HR SaaS comprehensive service providers to provide large-scale customers with coverage options, Employment, education, retention and other human resources management services in the whole chain. This is also important for the future scale development of Haina AI. The second is how to create a more refined and extreme service experience to attract more SME customers.

Secondly, Haina AI began to lay out its global brand strategy last year, and has completed the preparations for some multinational group customers. But whether it is for a multinational group or Heiner AI, due to the existence of differences in customs and culture, familiarizing with and understanding the overseas talent market is a process that requires constant exploration and trial and error. In the future, Haina AI may need to cooperate more closely with customers, and at the same time incorporate more variables into the model to improve the matching degree of products and models with the overseas talent market and the employment needs of multinational companies.

Mr. Wang Donghui, founding partner of Amoeba Capital, said: “Automated recruitment with the help of AI technology can significantly improve the efficiency of corporate recruitment and has great social value. Based on technologies such as video, big data and artificial intelligence, Haina’s AI team relies on leading Excellent product research and development and service capabilities help enterprises and institutions recruit accurately, reduce costs and increase efficiency. It is especially suitable for large-scale recruitment of basic positions and school recruitment of fresh graduates. It also has great room for growth in scenarios such as online exams for central state-owned enterprises. We very much recognize the value created by Haina AI, and look forward to Haina’s future.”

Ms. Shi Zhongyu, head of Jizhi Future Investment, said: “Jizhi Future, as the artificial intelligence industry innovation base under the Beijing State-owned Assets Corporation, continues to support artificial intelligence innovation and entrepreneurship, strives to build a highland for the development of the artificial intelligence industry, and contributes to the construction of Beijing International Science and Technology Innovation Center. .Under the complex and changeable market competition and economic environment in recent years, it is generally difficult for enterprises to operate. It is even more commendable that Haina AI still shows strong resilience and rapid growth in performance. We expect Haina AI to rely on its leading AI research and development strength, massive High-quality data and authoritative industry knowledge maps actively cooperate with national policies, promote precise employment, promote the automation and intelligence of simple and repetitive work links and dangerous and dirty jobs as soon as possible, and promote the digital and intelligent upgrade of various organizations.”

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