Physical AI starts
with the right data
Build and curate the multimodal datasets that autonomous systems, robotics and world models depend on.
“Encord brought together scalability, video-native annotation, clear label visibility, and the flexibility to support other modalities in a single, cohesive platform.”
Nick Gillian
Founder, Head of AI
Built for VLAs & Robotics
The data infrastructure for Physical AI - from first teleoperation run to production model.
Vision Language Action (VLA)
Generate structured, timestamped action labels and captions from video. Train VLA models on structured observation-action data across diverse embodiments and tasks.
Vision Language Action (VLA)
Generate structured, timestamped action labels and captions from video. Train VLA models on structured observation-action data across diverse embodiments and tasks.
Build datasets
From raw collection to versioned, export-ready datasets. Track ground truth against each model version, surface what's missing, and ship training data that reflects where your model is actually failing.
Data flywheel
Turn production deployment into a training signal. Route low-confidence predictions back into annotation queues, track for failure modes that are underrepresented, and continuously tighten your training distribution.
Built for AV & ADAS
Handle the scale and sensor diversity that autonomous vehicle data demands
Generate labels
Auto-generate labels with model-assisted pre-labelling, then surface what needs human review.
Generate labels
Auto-generate labels with model-assisted pre-labelling, then surface what needs human review.
Curate datasets
Identify the highest-value training data from video and sensor datasets. Find new edge cases and reduce dataset size before they reach production.
3D scene visualisation
Visualise synchronized sensor streams in a single unified 3D scene. Built for sensor fusion across LiDAR, radar, and camera data.
Watch the Robotics Panel
Experts from Agility Robotics, Dyna Robotics, 1X, Physical Intelligence and NVIDIA discuss building embodied AI systems, the role of VLAs and World Models in robotics, and how their teams validate and benchmark their systems.
Watch the Robotics Panel
Experts from Agility Robotics, Dyna Robotics, 1X, Physical Intelligence and NVIDIA discuss building embodied AI systems, the role of VLAs and World Models in robotics, and how their teams validate and benchmark their systems.
Enterprise-grade.
Built for scale.
Designed for reliable AI.
Built for scale.
Designed for reliable AI.
API/SDK-first. Zero data migration. Your data stays in your cloud.
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Get the data right
300+ of the best AI teams in the world use Encord. Join them.