INNER
INNER offers an AI-powered CT scanner that non-invasively inspects complete EV battery packs to detect defects. It uses X-ray/CT imaging combined with machine learning to assess State of Integrity (SoI) down to 50 microns and identify issues like torn wires and swollen cells. The technology combines a hardware scanner with ML software analytics for automotive and energy storage systems, designed for B2B use. It enables rapid, accurate fault detection while enhancing safety and extending pack life. The solution targets EV battery quality at scale for manufacturers and service providers in the automotive and energy storage markets.
INNER
INNER offers an AI-powered CT scanner that non-invasively inspects complete EV battery packs to detect defects. It uses X-ray/CT imaging combined with machine learning to assess State of Integrity (SoI) down to 50 microns and identify issues like torn wires and swollen cells. The technology combines a hardware scanner with ML software analytics for automotive and energy storage systems, designed for B2B use. It enables rapid, accurate fault detection while enhancing safety and extending pack life. The solution targets EV battery quality at scale for manufacturers and service providers in the automotive and energy storage markets.