Glimpse Wants to Give Hardware Companies an X-Ray View

San Francisco and Boston tech startup Glimpse is rolling out a new software product designed to give hardware manufacturers an internal X-ray view of critical components before assembly errors trigger expensive factory recalls. The release was detailed in a report published on Tuesday, Oct. 6, 2026, by TechCrunch. Product quality defects have historically sidelined entire product lines, such as the vehicle recall that sidelined every Chevy Bolt produced between 2017 and 2022 after manufacturing errors inside cell assemblies cost LG a $1.9 billion financial hit.

Speeding Up CT Scans For Battery Manufacturers

Major global manufacturers across sectors like automotive, aerospace, electronics, and medical devices routinely battle severe part failures. In the electric vehicle sector alone, major brands including Volkswagen, Stellantis, Hyundai, and Toyota have suffered similar operational setbacks. Eric Moch, co-founder and chief executive officer of Glimpse, told the publication that most of those major quality issues could have been prevented with high-speed CT scanning, noting that traditional inspection methods remain far too slow to perform effective statistical sampling across full production runs.

To solve that throughput bottleneck, Glimpse developed proprietary software that allows battery manufacturers to inspect individual cells 10 to 30 times faster by accelerating existing factory CT scanners. The system allows facilities to evaluate tens of thousands of individual cells daily rather than just a handful. Furthermore, the startup is developing a specialized super scanner alongside engineering partners capable of completing a full inspection scan in one to two seconds. Beyond standard manufacturing diagnostics, the company is preparing to launch a broader product called Explore to bring high-speed inspection workflows directly into laboratory environments and pre-production development spaces.

Edge Computing And Dashboard Analytics

Glimpse currently serves over 100 enterprise customers, including major operators like Anker, Lucid, and the U.S. Navy, while generating revenue in the mid seven-figure range. The company serves both buyers and sellers of industrial batteries. To achieve high operational speeds, the startup engineered a proprietary image processing pipeline driven by deep learning algorithms. Edge computers deployed directly at customer facilities handle initial data compression and cleanup before sending the final output securely to the cloud. The platform also integrates with technical evaluation workflows similar to how HackerRank Launches Chakra AI Interviewer for automated technical screening pipelines, streamlining data review so operators do not wait minutes or hours for large scan files to render in standard web browsers.

Alongside processed image files, the Glimpse dashboard displays precise part measurements specified directly by engineers, such as tracking layer distances inside commercial battery cells. If physical dimensions deviate from established operational baselines, the software automatically flags the discrepancy and highlights the defect area inside the visual scan. The underlying deep learning models continuously incorporate user feedback to retrain themselves over time.

For industrial operators that lack expensive in-house testing hardware, Glimpse allows clients to physically ship components to its Boston facility for evaluation, and the firm is launching a second Scan On Demand center in the San Francisco Bay Area. Moch noted that this scanning service may ultimately represent a larger market than software licensing alone, enabling smaller operators to pay nominal fees ranging from a few hundred to a few thousand dollars without committing capital to expensive machinery until production volumes justify the equipment purchase. The announcement comes as industrial operations leaders seek clearer paths to production efficiency, much like how Target's board wants fewer initiatives and a clearer merchandising owner to streamline corporate execution.