Glimpse wants to give hardware companies an X-ray view of every critical part
Startup Glimpse has developed software that accelerates CT scanning for industrial quality control, specifically targeting battery manufacturers. By using deep learning to process images faster, the company aims to reduce the frequency and cost of product recalls.
Why it matters
Improving quality control in manufacturing, particularly for EV batteries, is critical for safety and reducing the massive financial impact of large-scale recalls.
Recalls are no joke. Take the one that sidelined every Chevy Bolt made between 2017 and 2022: A problem at an LG battery factory caused some parts inside the cells to be installed improperly, which ultimately cost LG $1.9 billion .
Pretty much every major manufacturer has to deal with recalls. In the EV space alone, Volkswagen, Stellantis, Hyundai, Toyota and others have all suffered through them.
“The majority of those major quality issues could have been caught with CT scanning. And the reason why they weren’t is because it’s way too slow to do any kind of statistical sampling,” Eric Moch, co-founder and CEO of Glimpse , told TechCrunch.
Get smarter about the news
Sign up free for a feed built around what you actually care about, Dive Deeper research on any story, and the full text of every article.
Create free accountAlready have an account? Sign in