The Batalyse software modules Data Analysis, Mind and Collect can be used independently, but together they develop their full strength.

Collect gathers your measurement, test, analysis production and sensor data from the network or OPC-UA servers automatically. You define which user/group/department can access this data. By evaluating the file header, file name and data source, the data is automatically categorized so that you can quickly get your results via search and filter functions. Unlike specific competitor solutions, Collect can be used with all battery testers.

With Data Analysis you evaluate test data of batteries and fuel cells independent of the used test device and file structure directly from your file system or by accessing Collect or another inferior SQL server. Create result diagrams in multiple languages and and benchmark your materials, cells, stacks, modules and batteries.

Mind synchronizes and visualizes data and information with your existing databases and especially with Collect. Mind links your data and results with information on materials, processes and equipment used. A role and authorization system can be used to define who can access and edit which information. Via an interface, Mind can export data and information in a structured way and thus be easily optimized for use as a (training) database for AI. Optimize your processes and products with Mind and AI.

In combination, Data Analysis, Mind and Collect can be used to automatically collect, to pre-categorize and to supplement test and analysis data with background information.


Due to the test item parameters stored in the database, the evaluation is started automatically when the corresponding test item has been completely measured. All historical and currently running measurements can be evaluated manually by accessing our SQL server Collect, e.g. during business trips, so that you are always up to date.

By combining the Batalyse software modules, you document your data cleanly and securely for later AI use and automate your data evaluation.