Test common interactions in your target domain such as terrain and vegetation. With a flexible, composable library of pass/fail criteria, objects, and behaviors, you can create any scenario on the fly.
Evaluate your algorithm against rare or difficult events in unmapped areas with limited sensor input. Easily vary environmental parameters such as time of day and lighting for comprehensive testing.
Generate low-cost synthetic data for domains where diverse real-world data collection is difficult. Our synthetic data comes with per-pixel annotations to increase fidelity and accuracy of segmentation and labeling for algorithm development.