Dual-stream capture and an end-to-end pipeline.
Our platform combines proprietary omnidirectional capture with a complete processing pipeline that transforms real-world footage into VLA and VLM-ready training datasets.
Synchronized dual-stream capture, in a single pass.
Alia 360° omnidirectional camera plus GoPro egocentric capture — 32+ patents, 8 years of production deployment, peer-reviewed at CVPR.
Alia Specs
Purpose-Built for Physical AI Data
Developed from breakthrough research in computational imaging at IIIT Hyderabad and refined over eight years of production deployment, the synchronized dual-stream system captures the complete spatial context that humanoid robots need.
Dual-Stream Capture
Synchronized 360° exocentric (Alia) + egocentric (GoPro) in a single pass. Complete spatial context — what the robot sees and how it appears in the scene.
CVPR-Pedigree Optics
Single-shot 360° stereoscopic design from IIIT Hyderabad, peer-reviewed at CVPR 2016. The optical breakthrough behind every dataset we ship.
8 Years in Production
Deployed across AMRs, surveillance, and smart city. Real-world failure modes already engineered out before the first humanoid dataset.
32+ Patents
A decade of protected optical IP. The capture platform is the moat — every downstream product inherits its quality.
From real-world capture to training-ready data.
Our end-to-end platform transforms real-world captures into VLA and VLM-ready training datasets — delivered in USD, LeRobot/RLDS, and Open X-Embodiment formats.
Dual-Stream Capture
Synchronized Alia 360° exocentric + GoPro egocentric cameras with full RGB + depth in real environments
Multimodal Annotation
AI-assisted (SAM2, Grounding DINO) + human QA delivers vision, language, and action labels — 10× faster than traditional 3D annotation
3D Reconstruction
3D Gaussian Splatting creates photorealistic scenes with all annotations preserved — ready for simulation conversion
Simulation Conversion
Automated USD export with physics properties for any USD-compatible simulator
Synthetic Generation
1,000+ frames/hour with domain randomization — all modalities and skill transfer demos preserved
Real-World Validation
Continuous verification: sim-to-real transfer rates, manipulation success, and skill transfer effectiveness
Vision Data
- Synchronized ego + 360° exo video with depth
- Object segmentation with instance IDs
- 6DOF object poses
- Manipulation affordances (grip types, approach vectors)
- Human and robot demonstrations in 360° view
Language Data
- QA pairs describing objects, actions, and scene elements
- Action summaries for every sequence
- Spatial relations between objects and actors
- Context descriptions for scene understanding
- Ready for VLA instruction following
Action Data
- Full trajectories for every actor in 360° scene
- Movement paths with timestamps
- Interaction sequences showing manipulation
- Demonstration labels for skill transfer
- Kinematic data where available