The company is developing software to detect and identify faults in key green transition equipment, such as batteries and solar panels.

Using advanced algorithms and analytics, the solution enables rapid diagnostics and recommends optimal problem-solving methods. Initial functionalities include automated diagnostics and basic root-cause analysis, with further development of analytical capabilities underway. The problem has been validated through analysis of operating systems at equipment manufacturers and monitoring 20 battery storage units, where unnoticed faults were already detected and corrected. The solution targets industrial companies with large battery systems and solar farms, where failures carry high financial risks. Its strength lies in precise fault diagnostics and performance optimization without unnecessary equipment replacement.