Case Study: Neural Guard accelerates scalable AI object detection with ClearML

Neural Guard saves decades of man hours with ClearML

Neural Guard, a company producing AI-based auto-detection solutions for security screening, faced the challenge of building and maintaining thousands of ever-changing object detection models for high-resolution X-ray imagery. This required managing incredibly large, complex datasets and creating a highly automated, scalable system without substantial DevOps effort. They turned to the vendor ClearML and its MLOps platform to solve their AI data management challenge.

Using ClearML's data management, experiment management, and SDK, Neural Guard built a state-of-the-art, production-grade data pipeline on top of ClearML. The solution provided profound data insight, scalable continuous learning, and easy integration, saving them decades of man-hours in development costs. ClearML enabled ongoing savings by eliminating the need for additional large engineering teams and helped Neural Guard deliver a best-in-class, competitively priced solution to its customers.

Neural Guard