AI.Reverie’s simulation platform leverages the power of synthetic data to train mission critical computer vision algorithms. Synthetic data scales easily (in the millions), is generated quickly (days not months) and is significantly less expensive than labeling real data. The platform is architected to procedurally generate photorealistic environments and objects that reflect real world locations, which significantly improves the accuracy of computer vision algorithms. The platform is extremely flexible, allowing users to adjust sensors, point-of-view, biomes, lighting and weather conditions among others.

AI.Reverie can help enterprises solve their access to high quality, diverse data challenges and the high annotation costs associated with labeling real data. By using synthetic data, enterprises will significantly improve the accuracy and speed of training object detection/tracking and activity recognition algorithms.

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