Closing the Sim2Real Gap with Living Drone Imagery

About this session

One of the next major bottlenecks in Physical AI isn’t model architecture, it’s access to a living and geometrically accurate representation of the real world. This session explores why closing the sim-to-real gap requires foundational aerial data with three essential characteristics: ultra-high resolution, continuous refresh, and consistent quality at scale. Learn why these attributes are becoming critical for training world models and how a distributed network of more than 10,000 drone pilots can deliver them where satellites and traditional aerial imagery cannot, and see how this approach is already helping train Niantic Spatial’s foundation models.