Your location:Home >Original >

As simple as using Baidu, JarviX helps all employees of the enterprise get started with data analysis, and the annual revenue doubles

——

2022-05-30 10:04:24

For most businesses, business intelligence (BI) today may not be that smart.

Taking data analysis as an example, whether it is a BI system or a data platform developed within an enterprise, there are often three difficulties when performing data analysis: First, it is slow. Usually, data analysis needs to be completed with the help of the IT department "part-time", and data analysis is also required. A series of operations such as extraction, cleaning, analysis, and modeling have a long cycle; second, it is expensive, and it is not cheap to “hire” IT personnel; third, it is difficult, as IT personnel, as a vertical department, do not understand horizontal business, and often cannot accurately meet the requirements. The data requirements of business personnel are difficult to analyze.

"In response to this situation, we have developed an intelligent decision-making platform that combines cutting-edge natural speech and AI analysis technology, so that ordinary employees who do not have analysis skills can easily operate, and can quickly draw conclusions, thereby improving efficiency and reducing the need for data. The dependence of analysts and IT personnel." Zhang Zongyao, founder of Synergies, a business intelligence software provider, told Entrepreneurship.

Xunengjisi was established in 2016. The founder, Dr. Zhang Zongyao, graduated from the Massachusetts Institute of Technology. Most of the other core teams are from famous enterprises and schools, such as IBM, Jabil, Cisco, MIT, Cornell University, Tsinghua University, National University of Singapore, etc., with both technology development capabilities andindustrialmanufacturing background.

In mid-May 2022, Xunneng completed the tens of millions ofUS dollars inA+ round financing led by Nokia Growth Fund, and Beituo Capital served as the exclusive financial advisor for this round of financing.According to reports, this round of funds is mainly used for market expansion and team building.

Zhang Zongyao, founder of Xunengjisi

No-code AI intelligent decision-making platform JarviX

At present, the core product of Xinneng Jisi is a general-purpose SaaS developed based on enhanced analysis technology - the no-code AI intelligent decision-making platform JarviX.

"The name is inspired by the super-intelligent AI butler 'Jarvis' in "Iron Man" and the Marvel hero 'Professor X'. We hope that JarviX can also realize a 'super brain' like them, helping people to handle various affairs conveniently, Calculate all kinds of information." Zhang Zongyao said.

The use of JarviX is also very simple. Just connect to ERP, MES, YMS and other systems, and JarviX can help personnel in business departments such as manufacturing, quality control, operations, and finance. Without programming skills, "typing" can Complete data analysis independently.

At the same time, JarviX also provides a complete set of analysis methodologies and dozens of built-in industry best practice templates, enabling business personnel to quickly import and apply data on a large scale, so that data can quickly generate analytical value in different business scenarios.

Specifically, the operation steps only need to be divided into the following three steps: find the problem, find the reason, and get the answer.

Users first ask questions through NLP (Natural Language Processing), and the JarviX system will automatically retrieve data to build applications such as a visual war room; then through the built-in difference analysis, root cause analysis, trend prediction, and association mining Waiting for AI algorithms to analyze data; finally, through real-time modeling, simulators and other technologies to accurately predict and optimize the business, and obtain solutions with real value.

Simply put, the user only needs to enter a question in the search box, such as "What factors affected the production yield rate last month?", JarviX will generate the relevant data analysis process and visualization results, which are easy to use and fast. Efficient and friendly to business people.

To greatly reduce the threshold of use, thanks to JarviX's combination of NLP and AI technology.According to the data, JarviX's product application modules include data management center, natural language data exploration, AutoML algorithm platform, dynamic monitoring war center and No-Code application creation.

In terms of scene applications, JarviX covers such as intelligent production scheduling, intelligent supply chain, yield root cause analysis, equipment AI parameter optimization, common material optimization, quotation analysis and prediction, intelligent management analysis, predictive maintenance, tolerance analysis and matching, AI Intelligent risk control and wealth management and other standardized scenario applications.

In addition, JarviX's data processing is also optimized compared with the previous one, realizing the transition from ETL (Extract-Transform-Load, that is, the sequential process of first extracting business data, then cleaning and converting, and finally loading) to ELT."The ELT architecture can not only keep all the data in the database and improve the monitorability of the system, but also optimize the performance, and the efficiency is several times higher than before." Zhang Zongyao said.

JarviX usage concept map

Targeting the Industrial Manufacturing Industry

At present, the service targets of Xinneng Brainstorming are mainly industrial manufacturing industries, such as electronic manufacturing, auto parts industry, etc. In terms of enterprise volume, large enterprises with an annual output value of more than 500 million yuan and an annual output value of 1- 500 million yuan of medium-sized enterprises.

Choosing an industrial field stems from a sufficiently large market opportunity.Data shows that in 2021, China's GDP will exceed 110 trillion, of which the full-caliber industrial GDP will exceed 30 trillion, accounting for 28.6% of the total.According to the scale of 200,000 large and medium-sized industrial manufacturers, even if the unit price is only 100,000 yuan, the potential for factories to use intelligent manufacturing to achieve digital transformation is at least 20 billionyuan, and the market potential is huge.

On the other hand, the transformation of production methods and the rise of labor costs also force industrial enterprises to conduct more refined and data-based internal management.The data in the industrial manufacturing field is basically the first-party data of the enterprise and is hardly affected by external factors. Therefore, in this environment, the enhanced AI analysis can almost exert its maximum efficiency and achieve the best optimization effect.

"In addition, we can be said to be the development team that understands industry the most in the field of AI/data analysis, and the most knowledgeable AI/data analysis in the industrial field, so we are confident to meet the needs of enterprises in the industrial manufacturing field and provide them with suitable products and services. "Zhang Zongyao said.

At present, in terms of corporate cooperation, Xunengjisi has established cooperative relations with nearly 100 companies, including Apple supply chain companies such as Foxconn, Green Dot, etc.;Teslasupply chain companies such as FuyaoGlass, Qixin and major outdoor shoes The supply chain is like Yuqi, etc., and the proportion of large and medium customers is equal to half.

In terms of profitability, the revenue model of Xinneng Jisi is divided into annual fee and monthly fee. The main difference is the subscription cycle and whether to purchase labor costs separately. The unit price of medium-sized customers is about 500,000, and the unit price of large customers is millions. ; In 2021, the renewal rate of cooperative customers is 90%, and the annual revenue has more than doubled compared with the past year, and part of the growth is due to the purchase of new customers and old customers.

"We plan to become one of the companies with the highest market share in industrial SaaS within this year. In the next step, we will continue to focus on medium-sized enterprises and promote the market with factories as a unit to further penetrate the market." Zhang Zongyao told Chuangyebang.

attached

For more project information, please go to "Analysis of Rui Beast".

Hotspot ranking