NAND manufacturer and SSD shipper Solidigm has unexpectedly entered the AI computer vision market with Luceta AI vision software, which uses generative AI technology to set up, train, and operate AI vision models faster and better.
Such models can detect product defects, count shipped components of products, and monitor factory workers’ use of safety equipment. One manufacturing customer using this software created their first inspection model within two weeks using Luceta and achieved over 90% accuracy. After initial deployment, this user will be able to generate new inspection models in minutes and adapt them to new conditions and use cases. Traditional machine learning models for visual inspection use simple but complex rules to implement and can fail when lighting conditions change. Models like Luceta overcome these limitations.
AJ Camber, vice president and general of Solidigm’s recently formed AI software business group, said Luceta enables: “Faster data preparation and cleaning, model creation, deployment, and rapid continuous improvement in production. Accelerated annotation capabilities and seamless integration across the data life cycle enable anyone to rapidly deploy new models directly at the edge, where data is generated and decisions need to be made.”
Camber was appointed to the role last December, having previously served as Solidigm’s vice president and head of strategy for two years.
In a web page published in January titled “Dual Approaches to AI,” Ace Stryker, director of market development, explains “how Solidigm leverages artificial intelligence for product development and operational efficiency.” He did not mention computer vision, but said Solidigm uses internal AI-powered tools to increase team productivity (SENTA), improve materials management (BETT SSD BOM AI Agent), automate NAND verification, intelligent on-device analysis (Ragnar SSD Workload Classifier), and automate requirements analysis.
There is no indication that the use of Luceta is related to the use of Solidigm SSDs.
However, Solidigm’s owner, South Korea’s SK Hynix, uses computer vision in its internal operations. At SK AI Summit 2025 in November, the company demonstrated a wafer notch angle detection system that “applies the YOLOv8-OBB deep learning model inside the semiconductor chamber to detect the wafer notch with high precision in real time.”
Long before that, in 2020, the company said it had “focused on developing and distributing algorithms to apply analytical capabilities to production lines, thereby building systems that solve operational problems. Among them, product-oriented development work includes one task on image-based defect detection and classification: Intelligent Visual Inspection Analytics 4 (Intelligent Visual Inspection Analytics, IVIA).”
“IVIA has been implementing visual defect detection automation for two years since 2018. Through this project, the company developed an artificial intelligence model for early detection and classification of defects and implemented a Minimum Viable Product (MVP).”
SK Hynix also has a strategy to become a full-stack AI business and has established AI Co in the US. The company, which has a nominal $10 billion in funding, will play a “pivotal role in providing optimized AI systems to customers in the AI data center field. The company will also continue to make strategic investments and collaborations with AI companies to strengthen the competitiveness of memory chips and provide a variety of AI data center solutions.”
AI Co owns Solidigm and said the company will “provide the core assets of this new $10 billion investment and be involved in the AI infrastructure solutions it provides.”
Against this backdrop, we believe Solidigm’s Luceta product could play a role as part of SK Hynix’s overall upstack AI push. We asked both SK Hynix and Solidigm if this is the case.
