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 by utilizing machine learning and AI. Experienced engineers will propose various plans tailored to our customers' needs, such as "packaged 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.
Inquire About This Product
basic information
【Our Analysis Cases (Partial)】 ■ Deep Learning Related - Modeling of wind power generation - Prediction of residual resistance in yachts ■ Plasma Related - Utilized for 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.
Price range
Delivery Time
Applications/Examples of results
【Concerns like these】 ■ I am doing 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 that 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.
catalog（1）
Download All Catalogs
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.
![[Case Study] Accuracy Verification of Stress Using Finite Covering Method (FCM)](https://image.mono.ipros.com/public/product/image/9c9/2000832228/IPROS20448212989606395566.png?w=280&h=280)
![[Information] Introduction of analysis examples using "Pipeline Pilot"](https://image.mono.ipros.com/public/product/image/b5e/2000506681/IPROS68755057273420955769.png?w=280&h=280)
