Computer vision MLOps platform for data annotation and model deployment
Superb AI builds MLOps and DataOps infrastructure focused on computer vision workflows — annotation, curation, training, deployment. The stack is heavily visual-AI and GPU-native (PyTorch, TensorRT, NVIDIA Jetson, Kubernetes), reflecting a product designed for production ML pipelines. Active hiring across engineering, finance, and ops, combined with projects around multi-camera vision systems and global expansion, indicates the company is scaling both product and go-to-market infrastructure ahead of what appears to be an IPO process.
Superb AI provides end-to-end MLOps for computer vision teams, handling the full ML lifecycle from data annotation through model deployment. The platform combines automated data labeling, human-in-the-loop review, and deployment tooling to reduce cycle time from prototype to production. Customers include mid-to-large manufacturers and consumer electronics companies in Asia (Samsung, LG, Hyundai, Kakao, Nippon Steel). The company was founded in 2018 and is based in San Mateo, California, with hiring operations expanding into South Korea.
Core stack: Python, PyTorch, ONNX, TensorRT, NVIDIA (DeepStream, Jetson), Kubernetes, Docker, Linux. Supporting tools: SQL, AWS, Vision AI, Figma, Adobe Creative Suite.
San Mateo, California. Founded in 2018. Headcount range 51–200 employees. Active hiring expansion into South Korea.
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