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Glimpse wants to give hardware companies an X-ray view of every critical part

First reported by TechCrunch ·

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Why you might care

Companies that perform quality control on physical parts can now achieve higher throughput and faster defect detection using their existing CT scanners.

What happened

Glimpse, a company specializing in accelerating CT scanning for quality control, has launched a new product called Explore. This product extends their image processing software beyond batteries to industries like aerospace, automotive, electronics, and medical devices. Glimpse's software significantly speeds up CT scans by processing images on edge computers and compressing scan data, enabling manufacturers to inspect tens of thousands of cells per day, a vast improvement over current throughput. Their existing customers, including Anker, Lucid, and the U.S. Navy, generate mid-seven-figure revenue for the company. Glimpse also offers a "Scan On Demand" service, with a new center opening in San Francisco, allowing companies to ship parts for scanning without investing in expensive CT equipment.

What it means

Glimpse's expansion with Explore signifies a broader market opportunity for accelerating non-destructive testing beyond the battery sector. By adapting their deep learning-based image processing to new industries like aerospace and medical devices, Glimpse signals that the demand for faster, more precise quality control is a universal challenge in hardware manufacturing. This move could pressure incumbent inspection software providers to innovate more rapidly or adopt similar AI-driven acceleration techniques.

The introduction of the "Scan On Demand" service, particularly with a new location in San Francisco, democratizes access to advanced CT scanning capabilities. This makes high-resolution internal inspection accessible to smaller companies or those in R&D phases who cannot justify the capital expenditure for their own CT scanners, potentially lowering the barrier to entry for advanced quality assurance and product development across multiple hardware verticals.

AI-written summary. May contain errors.

Glimpse