INNER

Critical physical issues, such as undetected cracks and leaks, create room for risks to performance, safety, and reliability. This also leads to premature recycling and wasting valuable resources.

INNER bridges this gap, providing a complete picture and setting a new and improved standard for diagnostics and battery management.

Our CT scanner powered by machine learning analysis enables a rapid scan of a complete, unassembled, EV battery pack. It provides precise diagnosis of what we like to call the ‘State of Integrity’ (SoI) of a battery pack referring to exactly this wide range of physical faults (see here the list of faults) whether they are located inside the smallest cells of the large battery pack, or between the cells and the modules.