Superb AI provides an integrated computer vision and MLOps platform for industrial AI applications, offering the full stack from data labeling to foundation models to video analytics. The company serves four primary industries: mobility, where its MLOps handles tens of millions of video frames and multi-sensor fusion for autonomous driving with 98% labeling accuracy and 90% reduction in processing time; security and defense, where video analytics enables natural language search across many video streams with 2-second average search latency and 92.7% abnormal-behavior detection rate; logistics, where it reads line bottlenecks and cycle times from video with higher object-ID accuracy and 300% less annotation time; and manufacturing, where it achieves 98% defect detection accuracy with 10x fewer labels and 13.2% drop in product defect rate. Superb AI's product suite includes Superb Video Analytics for searching 10 million video frames in under 2 seconds using natural language queries, Superb Platform for unified AI development from data collection through deployment and monitoring, and VFM ZERO, Korea's first industry-specific Vision Foundation Model that achieves high performance with 1/100 the training data and 1/10 the training resources. The company has accumulated over 130 million real-world industrial data points across more than 100 domains, holds an 81-patent portfolio across five jurisdictions with FTO clearance, and has deployed over 100 global enterprise solutions. Superb AI is Korea's official K-AI national representative, NVIDIA's only Physical AI partner in Korea, AWS Rising Star Partner of the Year, and a CVPR 2026 winner.
Superb AI
Series CSuperb AI provides an integrated computer vision and MLOps platform for industrial AI applications, offering the full stack from data labeling to foundation models to video analytics. The company serves four primary industries: mobility, where its MLOps handles tens of millions of video frames and multi-sensor fusion for autonomous driving with 98% labeling accuracy and 90% reduction in processing time; security and…
About
Business model
AI Infrastructure > Enabling Technologies > Software > Training Data > Automated Annotation > Image and Video,
Y Combinator Batches > 2019 > Winter
Team background
College Wise > Seoul National University, Duke University
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