syntheticAIdata

syntheticAIdata generates simulated image datasets with automatic annotations for training and testing computer vision models. Its main focus is industrial inspection, where it can create rare defects across materials, parts, products and packaging that are hard to photograph in real life.

Datasets are built from simulated scenes, with controls for the target camera, the surrounding environment and domain randomization to add variation. Defect generation produces material-based flaws, and every image comes with labels, so teams skip manual annotation and cover edge cases their real data lacks.

There are two ways to use it. A self-service developer platform has a free plan and lets you generate and download datasets for any training tool, while an enterprise platform can run on-premises or in a private cloud with custom environments and dedicated engineering support.