Private tech company Glimpse has launched 'Explore,' a software platform designed to speed up industrial CT scan processing by up to 30 times. The tool uses deep learning to help manufacturers identify defects in real-time, reducing the risk of product recalls. Please note: Glimpse is a private, venture-backed startup and is not a publicly traded company on any stock exchange.
Glimpse, a technology company specializing in industrial X-ray computed tomography, has introduced a new software platform called Explore. This tool is designed to significantly reduce the time manufacturers spend on quality control by accelerating image processing speeds. The software focuses on helping industries such as automotive, aerospace, and electronics identify microscopic defects in parts during the production process.
Solving Quality Control Bottlenecks
Quality control is a critical part of manufacturing, especially for complex components like batteries used in electric vehicles. Traditional CT scanning methods are often time-consuming, which can create delays in high-volume production lines. By using deep learning and edge computing, the Explore software aims to process and visualize large datasets much faster than standard methods. For manufacturers, this speed is crucial, as it allows them to catch errors in real-time rather than discovering faults after a large batch of products has already been manufactured.
Business Model and Market Position
Glimpse operates as a private, venture-backed entity and is not a listed company on the National Stock Exchange (NSE) or the Bombay Stock Exchange (BSE). The company follows a hybrid business model that combines software licensing with a Scan-On-Demand service. This approach is designed to help smaller manufacturers access advanced inspection capabilities without needing to purchase expensive CT scanning hardware immediately. By providing access through their facilities, the company offers a way for firms to scale their quality assurance efforts while managing capital costs.
Industry Significance
The adoption of AI and deep learning in industrial settings is a growing trend, as companies look for ways to lower the financial impact of product recalls and manufacturing waste. As the manufacturing sector moves toward greater automation, tools that can integrate into existing lab and development workflows are becoming more valuable. The ability to integrate such software into existing hardware environments helps firms improve their defect detection rates without needing to overhaul their current factory setups.
Operational Outlook
While the company continues to grow, it faces the standard challenges of early-stage tech ventures, such as the need to prove long-term return on investment to capital-intensive manufacturing clients. Operating in a competitive metrology and industrial software market, the firm must balance its software development with the operational demands of its physical scanning facilities. Moving forward, the focus for Glimpse will be on how effectively it can scale its technology across diverse sectors and maintain its momentum following its previous funding rounds, including a $10 million Series A investment led by TDK Ventures in 2025.