Physical AI starts
with the right data
Build and curate the multimodal datasets that autonomous systems depend on.
“The composability of Encord enables us to merge diverse data sources, facilitating extensive experimentation. With a well-integrated SDK, it's a matter of a few lines of code to achieve seamless integration and functionality.”
Matt Pearce
Applied ML
Built for VLAs & Robotics
The data infrastructure for Physical AI - from first teleoperation run to production-ready model.
Vision Language Action (VLA)
Train VLA models on structured observation-action data across diverse embodiments and tasks. Close the gap between lab demonstrations and real deployment conditions.i
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.
Action captioning
Generate structured, timestamped action labels from video demonstrations. Encode robot behavior — grasp type, motion primitives, contact states in formats models can train on directly, not just describe.
Built for 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
Collect data from dedicated facilities and curate the highest-value training data. Find edge cases, gaps 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.
Brains, Bodies & Benchmarks: Physical AI Panel
This panel brings together leading experts from Agility Robotics, Dyna Robotics, 1X, Physical Intelligence, and NVIDIA to discuss the cutting edge of Physical AI. Learn about the real-world challenges of building embodied AI systems, the role of Vision-Language-Action models (VLAs) and World Models in robotics, and how top teams validate and benchmark their systems in production.
Brains, Bodies & Benchmarks: Physical AI Panel
This panel brings together leading experts from Agility Robotics, Dyna Robotics, 1X, Physical Intelligence, and NVIDIA to discuss the cutting edge of Physical AI. Learn about the real-world challenges of building embodied AI systems, the role of Vision-Language-Action models (VLAs) and World Models in robotics, and how top teams validate and benchmark their systems in production.
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.