In an industry where rapid innovation is becoming increasingly critical, testing batteries has presented major challenges for OEMs developing new electric vehicle models. The increased emphasis on enhancing range and charging times to meet evolving customer needs can threaten to slow the development pace needed to remain competitive.​

The solution? The intelligent use of test data for building highly accurate, self-learning AI models. Monolith – a pioneer in the deployment of data-driven, AI-guided battery testing – has seen first-hand the power of machine learning in reducing testing, enhancing learning, and maximising product quality. Harnessed to its true potential, they’ve seen AI improve test plan efficiency by up to 73%.​

Join Monolith CEO, Dr. Richard Ahlfeld, as he sheds light on how visionary companies are leveraging existing datasets to develop safer, more reliable electric vehicle batteries – faster.