We can assist you in improving business efficiency using machine learning and AI! We will introduce our software and analysis examples.
It is said that we have entered an era where the use of machine learning and AI is desired in research and development. Our company assists in improving operational efficiency through the use of machine learning and AI. Experienced engineers will propose various plans tailored to our customers' needs, such as "package software sales" and "contract analysis." Please feel free to contact us when you need assistance. 【Software We Handle】 ■ Predictive modeling tool "Neural Designer" ■ Plasma analysis "Particle PLUS/DL" ■ Data science tool "Pipeline Pilot" ■ Material development analysis software "Materials Studio" ■ Electronic lab notebook "BIOVIA Notebook" *For more details, please refer to the PDF materials or feel free to contact us.
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【Case Studies from Our Company (Partial)】 ■ Deep Learning Related - Modeling of wind power generation - Prediction of residual resistance in yachts ■ Plasma Related - Utilized in initial studies of DC magnetron plasma devices, etc. ■ Materials Informatics Related - Applied to the prediction of physical properties of organic molecules - Applied to the extraction of compositions of semiconductor materials *For more details, please refer to the PDF document or feel free to contact us.
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【Regarding these concerns】 ■ I am conducting CAE analysis, but I don't know how to utilize machine learning or AI in my work. ■ Optimization? New technologies? I don't know what kind of efficiencies can be achieved. ■ I have simulation result data and experimental data, but I want to do something new using the data. ■ I have things I want to try, but I don't know how to make them happen. *For more details, please refer to the PDF document or feel free to contact us.
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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.