Advanced analytics for discrete manufacturing
The intuitive visual solution for mastering your digital transformation
by automatic correlation with process parameters and machine operation profiles
by intuitive comparison of machine operation profiles, lots, suppliers, etc.
by monitoring process parameters and machine operation profiles
by easy-to-adapt dashboard templates with deep drill down
by easy-to-use self-service analytics and data preparation
"With Visplore, we reduced the time for analyzing years of data from days to 5 minutes."Thomas Reiterer Head of Material Testing Leoben,
"Visplore’s fast interactive capabilities provide us with a highly efficient way to analyse and label multivariate sensor data for AI applications."Johann Strasser Data Scientist, Palfinger AG
"By analyzing process data from a large foundry with Visplore, complex dependencies were detected that we didn’t find with other software. As a result, our customer’s heat energy was reduced by around 5% and mold wear by around 4%."Ing. Reinhold Gschwandtner Process Expert, OGI
Simply load CSV files, connect to SQL databases, and the OSISoft PI system. Or work tightly coupled with your Python notebooks, just as R and Matlab. An API makes sending data to Visplore as easy as reading back results.
Your reports in Visplore will automatically update for the latest data. You can even fully automate analytics as part of data pipelines. Visplore’s data model is optimized for discrete manufacturing and allows curves of machine cycles to be easily integrated into the analysis.
Comprehensive quality reports can be configured in minutes and then instantly accessed on current data. This saves your team lots of time for reporting, always keeps an eye on trends, and identifies problem areas.
With one click, engineers get from reporting charts to in-depth root-cause analysis of process data. Visplore shows, for example, which process parameters have changed and easily enables comparisons of process characteristics between lots, material suppliers, process configurations and much more.
An insightful approach to saving resources is by comparing the operation of similar equipments. Visplore makes it easy to extract, relate, and study operations across machines.
For example, let Visplore extract pressing operations and compare their characteristics. This identifies optimal operating profiles for tuning machine parameters and defining guidelines for the staff, ultimately leading to better product quality with reduced wear and less energy consumption.
Any AI is only as good as the labels it is trained on. But labeling machine operation profiles is challenging due to the massive data size and the variety of patterns.
Visplore makes labeling massive sensor data intuitive and easy. It’s the only tool for labeling up to thousands of machine operation profiles interactively within minutes. Label data automatically or audit given labels manually. Finally, access the labels directly from data science notebooks, or export them to files.