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, including data preprocessing, analysis, and visualization such as 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." 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 the increasingly important field of materials informatics in recent years. *For more details, please contact us.*
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Material manufacturers, manufacturing industries engaged in material development, and related manufacturers in semiconductors and surface treatment have a proven track record in a wide variety of scenes.
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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 one 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 towards digital transformation (DX), there is a growing movement to digitize and automate manufacturing processes and research and development sites in factories to enhance operational efficiency. In line with this trend, our company provides a solution aimed at improving efficiency in research and development environments, known as the Laboratory Information Management System (LIMS), which includes features such as workflow management, data tracking, data management, data analysis, and integration of electronic lab notebooks.