Just connect over 3000 parts! Ideal for narrowing down candidates during new material development. With machine learning capabilities, it's effective for a wide variety of business improvements!
PipelinePilot is software that allows you to perform all tasks related to data analysis, such as data preprocessing, analysis, and visualization through graph creation, all within a single product. - There are many "experimental result" data sets, but I don't know how to analyze them and want to utilize them. - I want to see trends using machine learning from the "experimental results." - And more. It can be used for narrowing down candidates during new development or discovering correlations in complex data where relationships are not apparent. 【Features】 ◆ Easily create data processing flows without programming knowledge. ◆ Simplifies data preprocessing, which can be a bottleneck when handling large-scale data. ◆ Many successful implementations in chemical and drug discovery companies. ◆ Compatible with the materials development simulation software "Materials Studio." *For more details, please contact us.
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basic information
The analysis section supports a wide range of methods from standard statistical analysis to machine learning and deep learning, and it also includes a standard feature for "fingerprinting that quantifies chemical formulas," which is necessary for conducting materials informatics that has gained attention in recent years. *For more details, please contact us.*
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Applications/Examples of results
We have a proven track record of implementation in a wide variety of scenes, including material manufacturers, manufacturing industries engaged in material development, and related manufacturers in semiconductors and surface treatment.
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Company information
Our company develops and sells a "Maintenance Management System" for managing and operating various plants, factories, and other facilities and assets. Currently, this system is undergoing significant evolution into a system that incorporates IoT technologies, such as sensor information and input from tablet devices, as well as AI technologies like machine learning, featuring functions for failure prediction and automatic scheduling. Additionally, as part of the recent trend of digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to improve operational efficiency. In line with this trend, our company provides a solution aimed at enhancing efficiency in research and development environments, which is the Laboratory Information Management System (LIMS). This software includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.
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