Beijing ZetYun Technology Co., Ltd. (DataCanvas) was founded in 2013, focusing on the continuous development and construction of automatic data science platform, focusing on providing a complete set of development platform for data scientists and AI practitioners, and providing comprehensive supporting services for intelligent upgrading and transformation of government and enterprises.
DataCanvas is a Chinese company independently researched and developed. Relying on the domestic and overseas leading data science platform, DataCanvas has provided real-time and agile AI capability construction for customers in government, finance, aviation, manufacturing, transportation, education, real estate, Internet and other industries.
Through the DataCanvas platform, it can provide automatic machine learning analysis and real-time computing capabilities and help business analysts and data scientists quickly cooperate in development, and realize automatic model creation, management and application support.
To create greater value for customer business on cutting-edge technologies and solutions such as technological innovation and artificial intelligence. The company has outstanding data scientists and product R & D team and has front edge industry practice experience in automatic deep machine learning, data modeling, big data analysis and other fields.
In 2020, with the original DeepTables open-source project, DataCanvas won the first place in the world in the Kaggle competition among more than 1100 teams including well-known e-commerce companies and search engine companies.
Headquartered in Beijing and facing the whole country, it has branches in Shanghai, Shandong and Shenzhen.
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DataCanvas Reviews
Emma W.
Advanced user of DataCanvasWhat do you like best?
DataCanvas data science platform adopts open architecture, not bound to hardware and cloud services, fully supports mainstream technical architectures, and accommodates various computing architectures and modeling services.
DataCanvas focuses on machine learning, automated modeling and model production, which can be quickly applied in scenarios to help companies automate their data science with many reputable practical cases.
What do you dislike?
There's nothing I don't like.
DataCanvas offers a rich set of products and tools that further lowers the bar for automated machine learning and enhances support for unstructured data in scenarios such as NLP.
I would like to learn more about the latest technology and product details.
Recommendations to others considering the product:
Assess your own situation, including the need for a data science platform for each business scenario, the hardware and technical architecture, and the level of skills acquired by your employees.
The DataCanvas data science platform is clearly positioned: an open, compatible, pure software platform.
It provides a full range of autonomous AI capacity building, without relying on specific hardware or algorithm providers.
What problems are you solving with the product? What benefits have you realized?
Automate AI modeling and applications: Providing a one-stop machine learning platform, AutoML lowers the threshold for modeling and makes it accessible to many business units.
When AI capabilities are insufficient, the platform's built-in algorithms can be used directly.DataCanvas provides a viewable and customizable "white-box" algorithm library to flexibly meet the enterprise AI construction autonomy and control.
