Manage, curate and annotate AI data
The multimodal data layer - from first training run to production deployment, across every modality and use case.
Every modality.
Every workflow.
Everything you need to label, build, and align, all in one place.
Video
Image
Audio
LiDAR
Text
Document
Geospatial
HTML
Label and annotate
Manage and automate annotation across video, LiDAR, audio, text and sensor fusion. Track lineage, enforce quality, and scale operations with full visibility.
Explore annotation & labelingLabel and annotate
Manage and automate annotation across video, LiDAR, audio, text and sensor fusion. Track lineage, enforce quality, and scale operations with full visibility.
Explore annotation & labeling
Curate and collect
Collect data from dedicated facilities or your fleet. Use embedding-based search to find edge cases, close distribution gaps, and reduce dataset size before training.
Explore data collection & curation
Align and evaluate
Orchestrate RLHF, rubric-based evaluation, and pairwise comparison. Surface model failures, prioritize retraining, close the feedback loop between deployment and data.
Explore model alignment
Don’t just get the platform. Get the data services too.
Encord’s data services give you access to expert annotators, domain specialists, and managed collection pipelines - fully integrated with the platform’s quality controls.
Explore labelling servicesDon’t just get the platform. Get the data services too.
Encord’s data services give you access to expert annotators, domain specialists, and managed collection pipelines - fully integrated with the platform’s quality controls.
Explore labelling services“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 at Archetype AI
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.
One platform.
Every stage of the data pipeline.
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.
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.