The data layers

Manage, curate & annotate AI data with Encord

Transform unstructured data into high-quality, labeled datasets for training Multimodal and Physical AI models at scale.

Woven by Toyota
mayo clinic
Ui Path
AXA
royal navy
standard ai

The data layer for AI

Everything you need to label, curate, and evaluate datasets - in one platform.

Text
Audio
Video
Image
Document
LiDAR
DICOM
Geospatial
HTML
LiDAR pre-labelling

Label and auto-segment

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
Geo-locate and curate data

Curate and collect

Collect data from your fleet or dedicated services, then use model-in-the-loop curation to find rare edge cases and close distribution gaps.

Explore data collection & curation
Consensus workflow node

Post-training alignment

Orchestrate RLHF, rubric-based evaluation, and pairwise comparison to surface model failures, and close the post-training feedback loop.

Explore model alignment

Our Customers

Customer Spotlight

MMI speaker

Encord allows us to focus on model optimization and testing, rather than annotating data.

How Elena uses Encord

MMI brings robotics and computer vision together. Manual data handling and annotation was a major bottleneck for their team.

Adopting Encord enabled MMI to iterate faster, access higher-quality data, and focus on improving their models.

MMI

accelerated model development with automated labeling and edge-case curation tools

Designed for reliable AI

Robotics & AV

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Explore Physical AI

Frontier & Generative AI

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Explore AI Natives
Encord Endplate

Get the data right

300+ of the best AI teams in the world use Encord. Join them.