Train and run AI on the right data
The multimodal data layer that powers physical AI from the first training run to real-world deployment - at any scale, for any use case.
Powering AI from cloud to physical world
The data infrastructure behind the leading AI systems.
Explore Physical AI
World Models & VLA
Train the foundation models that teach machines to understand and act in the physical world. From vision-language-action models to world simulators, Encord provides the multimodal data infrastructure at the scale these systems require.
Robotics & Humanoids
Train perception and manipulation with labeled multi-sensor data across RGB, depth, LiDAR, and force/torque inputs.
Autonomous Vehicles & ADAS
Build perception systems across synchronized LiDAR, camera, and radar with 3D scene visualization.
Drones & Aerial Systems
Manage multi-sensor data (LiDAR, RGB, thermal, multispectral) for autonomous navigation, inspection, and monitoring.
Smart Spaces
Train AI that monitors and responds to complex physical environments — retail, construction, warehouses, public safety.
“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
The multimodal data layer for every modality and workflow
Everything you need to label, build, and align, all in one place.
Text
Audio
Video
Image
Document
LiDAR
DICOM
Geospatial
HTML
Generate labels
Manage and automate labelling, track lineage, and scale annotation operations with full visibility.
Explore annotation & labeling →Generate labels
Manage and automate labelling, track lineage, and scale annotation operations with full visibility.
Explore annotation & labeling →
Build 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.
Explore data collection & curation →
Align models
Orchestrate RLHF, rubric-based evaluation, and pairwise comparison workflows. Surface errors, prioritize retraining, and close the feedback loop.
Explore model alignment →Built for how AI is being deployed today
Physical AI
Collect, curate, and label petabytes of multimodal data for the precision that robots, autonomous vehicles, drones, and smart spaces demand.
Frontier & Generative AI
Annotation, preference labeling, and RLHF workflows for LLMs, diffusion models, and multimodal foundation models - across text, image, video, audio, and documents.
Enterprise & Applied AI
Scale labeling operations, enforce quality, and integrate with existing infrastructure. SOC 2, HIPAA, and GDPR compliant.
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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Sports
Computer Vision
Retail
Medical
Warehouse
Infrastructure
Get the data right
300+ of the best AI teams in the world use Encord. Join them.