UnitX has unveiled FleX, what it calls the world’s most accurate AI visual inspection system designed to transform quality control in manufacturing by significantly improving defect detection, deployment speed and cost-effectiveness, driving a new benchmark for inline inspection across complex production environments. FleX combines patented high-performance imaging with advanced generative AI capabilities to deliver up to 9x lower escape rates on subtle, high-variance defects while enabling 3x faster deployment compared with traditional systems, drastically reducing Site Acceptance Testing durations from months to just days with as few as five defect images for model training and synthetic data generation to bolster rare defect recognition. The platform’s fully software-defined lighting and optional 2.5D imaging capture depth information traditionally missed by standard 2D systems while its image segmentation AI classifies every pixel for precise defect shape, size and location.
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FleX also features no-code PLC integration, support for over 20 industrial protocols and an open SDK for third-party extensions, enabling manufacturers to integrate and scale the system across lines with simplified central-edge architecture and unified data management. Financially, FleX delivers measurable operational impact by lowering recall risks, supplier downgrades and reinspection costs, maximizing yield through balanced low false acceptance and false rejection rates, cutting material scrap and driving substantial savings often hundreds of thousands of dollars annually per line with up to 30 % faster ROI. “The era of error-prone quality control is over,” said Keven, CEO of UnitX. “With FleX, we achieve optimal accuracy with the easiest deployment tools minimize downtime, enable scalable deployment, and deliver a clear ROI. This is a crucial step for American manufacturing as we advance toward next-generation production.” Founded in 2018 by experts from Stanford, MIT and Google, UnitX has built a customer base of more than 190 manufacturers striving for higher quality and lower scrap, with its AI-driven inspection systems trusted across leading automotive and EV supply chains.