Chimes AI is dedicated to build No-Code AI construction and management platform. Through data analysis, behavior prediction, and automatic processing, we help companies to build their own AI applications to achieve the benefits of mass production.

Chimes AI is composed of a group of passionate members, including artificial intelligence and data scientists, software engineers, UI/UX designers, and business consultants in different fields. Our expert team has successfully assisted energy, petrochemical, steel, textile, and many other industries to employ AI application and create large benefit in their fields.

According to our experience in smart manufacturing,Chimes developed tukey, which is simple and intuitive to use. From data extraction to AI model building, on-site practitioners can handle it by themselves. “tukey” has the best automated packaging function, using shortest time to interface with corporate information services. Our scenario include but are not limited to op...
Chimes AI is dedicated to build No-Code AI construction and management platform. Through data analysis, behavior prediction, and automatic processing, we help companies to build their own AI applications to achieve the benefits of mass production.

Chimes AI is composed of a group of passionate members, including artificial intelligence and data scientists, software engineers, UI/UX designers, and business consultants in different fields. Our expert team has successfully assisted energy, petrochemical, steel, textile, and many other industries to employ AI application and create large benefit in their fields.

According to our experience in smart manufacturing,Chimes developed tukey, which is simple and intuitive to use. From data extraction to AI model building, on-site practitioners can handle it by themselves. “tukey” has the best automated packaging function, using shortest time to interface with corporate information services. Our scenario include but are not limited to operations such as optimization of production parameters, early warning of abnormal equipment performance, evaluation of the supply, and demand of raw materials. After the self-built AI model is online, its parameter operation suggestions or anomaly detection notifications can help companies make the best decisions in the first time.
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Employees

Johnson Hsieh
Admin
Johnson Hsieh CEO Johnson Hsieh is a Ph.D. in Statistics. With over 10 years in the technology industry, he is a successful data project manager.