VLM
Vision-Language Model
VLN
Vision-Language Navigation
VLA
Vision-Language Action
Jensen Huang, CEO of NVIDIA (GTC 2024)
Platform
From data capturing to deployment in days
01
Capture
Fuse RGB-D and IMU for live, large-scale reconstruction with instant live rendering, fast fleet-wide co-calibration and clock-sync high-quality dynamic point clouds.
02
Segment
Our Physical AI pipeline makes rapid dataset labeling possible and performs 3D scene segmentation & multi-object tracking with cross-frame consistency.
03
Label
Automatic new-labeled dataset upload, fast retraining, parameter-efficient finetuning keep models improving, delivering live voxel segmentation, tracking, and summaries.
04
Deploy
Seamless integration with popular AI frameworks and synthetic data engines for efficient model deployment, enhancing the overall performance and scalability of your system.
Dataset
Enterprise-grade data infrastructure for Physical AI
10x
Faster Than Legacy Tools
80%
Cost Reduction
95%+
Task Success Rate
1,000+
Hours of 3D Data
Deploy
Our platform is designed to work across a broad range of robots and scenarios
humanoid robots
any size, bi-manual dexterity
manipulator arms
industry, collaborative robots
legged systems
bipeds, quadrupeds, hybrids
wheeled platforms
AGVs, self-driving vehicles