36Recently, we learned that the industrial Internet solution service provider “Qianyun Technology” has completed Series A financing of tens of millions of yuan. The investors are Jinsha River Venture Capital and Lakeside Shannan Capital. Qianyun Technology is a service provider that provides overall digital factory solutions for discrete manufacturing, including low-level data collection, mid-tier PaaS platforms, data lakes, and SaaS applications.
Previously, Win-Cloud Technology received Pre-A financing from an auto parts industry fund and nearly 10 million yuan of angel funding from Cloud Angel Fund and Yinghua Capital. 36 Krypton has reported in detail on the track background and business model of Yiyun Technology.
Industrial manufacturing is mainly divided into process manufacturing and discrete manufacturing. Process manufacturing includes repeated production and continuous production. It refers to the manufacturing process where the processing object continuously passes through production equipment, plus a series of processing equipment, to cause chemical or physical changes in raw materials. Discrete manufacturing, on the other hand, often requires multiple parts to be assembled through a series of discontinuous supply and demand processing. Typical industries include automobiles, semiconductors, and 3C electronic equipment.
Zhang Chengyu explained that the characteristics of the discrete manufacturing industry are diverse, small-batch, and there are many long-tail small and medium-sized enterprises. Discrete manufacturing is also currently the main application scenario for intelligent manufacturing innovation. The core production equipment of the discrete manufacturing industry is CNC machine tools. The industrial chain of the discrete manufacturing industry consists of CNC system manufacturers, equipment manufacturers, large factories, small and medium-sized factories, and small and micro factories in that order. Machine tools run through the industrial chain. Therefore, we can also clarify one conclusion, that is, in the digital and intelligent innovation of the discrete manufacturing industry, the key core is the adaptation of various agreements and data collection by enterprises to different types of equipment.
The basic difficulty of the Industrial Internet of Things is that there are many types of equipment, and protocols and data formats are closed. After years of accumulation, Yunyun Technology can now be adapted to more than 90% of mainstream systems and more than 95% of semiconductor device types. The data collection method used by Qianyun Technology is protocol collection. Compared with traditional SCADA system collection, the advantages of protocol collection are lower cost, richer data dimensions, wireless collection (not limited by network cables), and the ability to adopt a more secure network topology.
After data collection and networking, Qianyun Technology can provide enterprises with vertical industry PaaS platforms based on CNC machine tools and semiconductor machines to clean and integrate data, and at the same time open up existing ERP, MES, PLM, WMS and other systems of customers in the form of buses, gather data into data lakes, establish a real-time data analysis platform covering all dimensions of enterprise production and operation, and thus provide applications such as yield improvement, production capacity increase, and PHM.
Discrete manufacturing enterprises are divided into large enterprises and small and medium-sized enterprises. The equipment coverage methods used by Qianyun Technology for the two are slightly different:
- For large and medium-sized enterprises, Qianyun Technology has acquired customers through cooperation with telecom operators, cooperation with traditional machine tool manufacturers in the front-end market, and direct sales. The representative customer is the third largest camera module manufacturer in the world, and the number of machines in a single factory exceeds 13,000 units. Qianyun Technology provides customers with a full range of solutions from data collection, wireless transmission, PAAS platforms, data lakes, and AI applications. Through connectivity coverage to all factory equipment, it helps customers increase production capacity by 15% and yield by 1%;
- For small and medium-sized enterprises, Qianyun Technology mainly achieves large-scale equipment coverage through contracts with financial institutions. Qianyun provides financial institutions with post-loan risk control based on real data at the bottom, provides professional SAAS services for connected enterprises, and provides supply chain financial services based on real data for the upstream and downstream of the supply chain. Currently, it has connected more than 400 small and medium-sized enterprises.
In terms of commercialization, the monetization methods of large enterprises and small and medium-sized enterprises are also slightly different.
Qianyun Technology provides large-scale customers with overall technical solutions for the industrial Internet. Through technical service fees, including data collection, data processing, PaaS layer construction, and SaaS application research and development, the functions of data that create value for customers include increasing production capacity, improving yield, and digitalizing production progress to achieve transparent delivery. Zhang Chengyu explained that customers can increase the production capacity of a production line by about 15% with the help of Yunyun Technology.
In terms of small and medium-sized enterprises, Qianyun Technology mainly charges risk control technology service fees from financial institutions, and charges are based on the number of covered equipment and data usage. In the future, with data on the production capacity of small and medium-sized enterprises, Qianyun Technology can also introduce orders, schedule the production capacity of small and medium-sized enterprises, and enter the “cloud factory” model.
Qianyun Technology's contract revenue in 2019 increased about 10 times compared to 2018.
Founder and CEO Zhang Chengyu said that this round of financing will be mainly used for three aspects. The first is to expand the business volume of technology services for small and medium-sized enterprises; the second is to promote the launch of an intelligent manufacturing platform with a cloud factory model for small and medium-sized enterprises and introduce seed users; and the third is to further deepen the technical services of large enterprises.
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