Train and run AI on the right data

Curate, label, and align multimodal data at any scale.

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Low-quality data doesn’t just
slow AI down, it breaks it.

Faster iteration, fewer production failures, and higher model accuracy all trace back to one thing - data quality. Encord gives AI teams precise control over the entire data pipeline, from collection to annotation, alignment, and evaluation.

Built for how AI is deployed

Multimodal from the ground up

Native support for video, audio, text, LiDAR, RGB-D, sensor fusion, and geospatial data. Designed for the data types physical Al systems actually produce.

Data quality before training

Embedding-based curation, label QA, and lineage tracking catch errors and edge cases before they compound.

Automate your entire data pipeline through API and SDK

Integrate Encord into your CI/CD, trigger labeling jobs programmatically, and version everything.

Annotation to alignment, in one platform

RLHF, rubric-based evaluation, and pairwise comparison alongside labeling workflows. No second tool. No handoff.

Data services

Don't have the workforce to collect or label at scale? Encord covers end-to-end collection, annotation, and evaluation - same platform, same quality controls.

“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

The data layer for every physical modality and 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 & labeling

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 & 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

Preference ranking between mobile banking app screens with human reviewer

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 services

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 services

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

Paired video-language-action sequences

Multimodal embeddings

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.

3D point clouds

RGB-D

Video

Sensor fusion

Robotics & Humanoids

Train perception and manipulation with labeled multi-sensor data across RGB, depth, LiDAR, and force/torque inputs.

LiDAR

Radar

Multi-camera video

Autonomous Vehicles & ADAS

Build perception systems across synchronized LiDAR, camera, and radar with 3D scene visualization.

LiDAR (LAS)

RGB

Thermal

Drones & Aerial Systems

Manage multi-sensor data (LiDAR, RGB, thermal, multispectral) for autonomous navigation, inspection, and monitoring.

Video feeds

IoT sensors

Spatial data

Smart Spaces

Train AI that monitors and responds to complex physical environments - retail, construction, warehouses, public safety.

Solutions

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.

Explore physical AI

Frontier & Generative AI

Annotation, preference labeling, and RLHF workflows for LLMs, diffusion models, and multimodal foundation models - across text, image, video, audio, and documents.