Endava’s white paper details how synthetic data overcomes real-world data challenges in training machine learning models—filling rare data gaps, protecting privacy, reducing bias, and improving precision. Generated via advanced visual effects tools, it enables scalable, diverse, and controllable datasets for industries from manufacturing to healthcare, robotics, and energy. Benefits include faster development, lower costs, and safer testing of edge cases. Endava offers tailored dataset creation, pipeline development, and ML operations, delivering pixel-perfect annotations, hybrid data integration, and reusable resources to optimise performance and unlock new opportunities.

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