Drone threats are evolving fast. Drone detection AI needs to evolve faster. New drone designs, complex flight behaviors, novel environments — and defense systems need to keep pace. Our results are proven to close the sim2real gap, while dramatically reducing both costs and timelines.
Find the data gaps, and fill them fast. Every failure caught in simulation prevents a surprise in the field, where the cost of being wrong is a missed threat, not a simple re-run.
Simulate the sensors your models actually need to handle: RGB, thermal, depth, and more, all rendered from the same physically accurate scene.
See precision, recall, and failure cases side by side against ground truth, so you know exactly where your model is falling short.
Swap terrain, time of day, and conditions in minutes instead of weeks, so your training data keeps pace with real-world variability.
Dial in camera settings, weather, lighting, and drone behavior independently, so you can generate exactly the edge cases your model is missing.
