A $1.9B Chevy Bolt recall showed what one missed internal defect inside a battery cell costs; Glimpse's new Explore product brings its image processing pipeline to aerospace, automotive, electronics, and medical devices.
A torn separator inside a single Chevy Bolt battery cell cost LG $1.9 billion in a 2017–2022 recall. The reason it shipped is the same reason defective cells still slip through on most factory floors: full inspection is too slow, so manufacturers inspect a sample. Glimpse, a startup that sells the image-processing pipeline that runs on top of existing industrial CT scanners, says it has lifted throughput 10 to 30 times on the same hardware, turning "scan a handful" into "scan tens of thousands" of cells per line per day. The company has now launched Explore, extending the platform beyond batteries into aerospace, automotive, electronics, and medical-device manufacturing.
Glimpse now counts more than 100 paying customers, including Anker and Lucid, with revenue in the mid seven-figure range. Moch on the gap: "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."
The 10–30x throughput claim and a co-developed "super scanner" pitched at 1–2 second scan times are not third-party benchmarked, and Explore's four-industry reach is an announcement, not deployed volume. The shift from sampled to 100% inspection is, for now, a software question that has not yet been answered on a factory floor at scale.