AIReverie (by Meta)

AIReverie, now a core technological asset within Meta (formerly Facebook), represents the pinnacle of synthetic data generation for computer vision. Its technical architecture utilizes advanced procedural generation and photorealistic rendering engines to create diverse, massive-scale datasets that eliminate the need for manual human labeling. As of 2026, its technology is primarily integrated into Meta's FAIR (Fundamental AI Research) and Reality Labs divisions, providing the foundational training data for autonomous systems, spatial computing, and next-generation AR/VR interaction. The platform solves the 'data bottleneck' by simulating rare edge cases, diverse environmental conditions, and complex object interactions that are too costly or dangerous to capture in the real world. By leveraging domain randomization and transfer learning techniques, AIReverie ensures that models trained in simulated environments achieve high performance in real-world deployment. While no longer operating as a standalone SaaS for small teams, its enterprise-grade simulation capabilities are accessible through Meta's strategic partnerships and high-level industrial AI collaborations, focusing on sectors like defense, smart infrastructure, and global retail logistics.