Powering World Models and Embodied AI with 10PB+ of proprietary physical world data.
A multimodal data foundation built for spatial reasoning and physical-world understanding — at the scale required to train next-generation Physical AI.
Seamlessly aligned Video, Text, Audio, and Action spaces. Delivered as synchronized bundles for immediate training.
Synchronized 4D multi-camera data eliminating single-view occlusion to establish true 3D spatial awareness.
High-fidelity 3D assets and environments forming the world foundation for diverse physically accurate simulation.
Millimeter-precision human kinematic data generating high-quality multi-modality demonstrations for Physical AI.
Expert-graded annotations across five dimensions: Object & Material Detail, Camera & Motion Dynamics, Scene Summary, Visual Properties, and Semantic Context.
10M+ professionally-produced video clips with fully cleared IP. Visual diversity and production quality engineered for high-fidelity video generation and world-model pretraining.
The industrial-grade end-to-end platform for data ingestion, high-density annotation, curation, and alignment evaluation. Designed for complex multimodal assets.
LLM-augmented preprocessing with auto-segmentation and multi-camera tracking. Cuts manual annotation time by up to 70% versus standard pipelines.
Build complex, nested schemas that map visual features directly to physical laws. Supports dynamic property hierarchies.
Automated PII scrubbing, cryptographic watermarking for full IP security. Support for Air-gapped deployments (ISO 27001).
Purpose-built data architectures solving the hardest problems in Physical AI.
From "perceiving the world" to "stably executing complex tasks."
Core Capabilities
Scaling the production of "unattainable real-world data" with generative models.
Core Capabilities
Making AI truly adaptable to complex, dynamic physical environments.
Core Capabilities
Movas Embodied Video Benchmark (MEVB) Coming Soon
12 core manipulation tasks, evaluation harness, and a public leaderboard — released under a permissive license.
Standardized protocols, sealed test splits, and multi-embodiment support for fair cross-team comparison.
Optional commercial tier: extended task suites, private holdout sets, and SLA-backed evaluation infrastructure.
Built at the intersection of data infrastructure and Physical AI — designed to address the structural limits of generic crowdsourced annotation.
Ready to fuel your model? Partner with MOVAS AI for proprietary physical-AI datasets and infrastructure.