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Glimpse’s newly announced Explore is image-processing software designed to use CT scans for hardware quality-control checks—not a CT scanner itself. The company says it can make inspection on existing scanners faster and help manufacturers spot defects in parts such as battery cells. Those capabilities and performance figures are company-reported; TechCrunch’s October 6, 2026, report did not include independent testing or detailed product specifications.

What is Glimpse Explore?

Explore is software for processing images from industrial CT scanners. Glimpse says it is intended to help manufacturers inspect parts for quality issues, with applications beyond batteries in aerospace, automotive, electronics, and medical devices. The announcement describes an expansion into these industries, not evidence that Explore has been validated for every part or production line.

CT scanning creates internal images of an object, allowing inspection without relying only on its exterior. Glimpse’s pitch is that processing those scans more efficiently could make it practical to inspect more parts. CEO and co-founder Eric Moch told TechCrunch that quality issues can go undetected when statistical sampling is too slow. That is Moch’s rationale for the product, not an independent finding about how often CT inspection would have caught specific failures.

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How the reported system works

TechCrunch describes a pipeline that compresses and cleans CT scan data, using deep-learning algorithms for image processing. Much of the initial processing reportedly happens on edge computers deployed at customer sites, with output then sent to the cloud.

According to the report, users can view results in a web browser. A dashboard can display customer-defined measurements—for example, distances between layers inside a battery cell—flag deviations, and highlight them in scan images. Moch also said customer input is used to retrain the algorithms. These are reported descriptions of Glimpse’s system; the article did not independently inspect the software or detail its validation process.

What Glimpse claims about speed and scale

Moch told TechCrunch that Explore could improve battery-cell inspection throughput on existing CT scanners by 10 to 30 times, and potentially process “tens of thousands of cells per day.” The report does not provide an independent benchmark, test conditions, scanner models, or a definition of the full inspection workflow behind those figures. They should therefore be read as company claims, not established performance results.

Image-processing throughput is not necessarily the same as total inspection time. A manufacturer evaluating the claim would need to account for the complete workflow—including preparing and scanning parts, reviewing results, and handling flagged defects—as well as the performance of its own equipment and production setup.

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Who might use Explore?

The industries named in the announcement are aerospace, automotive, electronics, and medical devices, as well as battery inspection. TechCrunch reported that Glimpse had “over 100 customers,” naming Anker, Lucid, and the U.S. Navy as examples; the customer count and examples were attributed to Moch. The report does not describe those customers’ specific deployments or establish that each uses Explore in production.

The same article reported Moch’s description of Glimpse’s revenue as “mid seven-figure,” without specifying a period. That figure is not a defined annual revenue measure or audited financial disclosure.

What if a company does not own a CT scanner?

Glimpse also offers Scan On Demand, a service for companies that send parts to be scanned rather than using their own CT equipment. TechCrunch described a Boston-area center and said a second facility in the San Francisco Bay Area was opening. The report does not independently confirm current operating status, capacity, availability, or service terms, so companies should verify those details with Glimpse.

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What prospective customers still need to verify

The announcement gives a high-level account of Explore, but does not establish several details a buyer would need before choosing it for production inspection:

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  • Scanner compatibility: Supported CT scanner models and any equipment or data-format requirements are not stated.
  • Deployment: The report mentions edge computers at customer sites, but does not specify installation, integration, security, or ongoing IT requirements.
  • Validation: No independent results are provided for throughput, defect detection, false positives, or performance across different materials and parts.
  • Commercial terms: Pricing, availability, and contract details are not reported.
  • Scan On Demand: Current locations, turnaround, capacity, and service terms are not confirmed.

One context point in TechCrunch’s report was the stated $1.9 billion cost to LG associated with the Chevy Bolt battery recall. The article did not provide an underlying regulator or company source for that figure, so it should be treated as a reported figure rather than independently verified here.

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