Encord

Encord is a data and analytics tool that provides a multimodal data layer for physical AI systems. It helps manage, curate, annotate, and align petabytes of data from various sensor streams.

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At a glance

Pricing

Freemium · Enterprise

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Encord?

Encord offers a comprehensive multimodal data layer designed for physical AI systems, supporting everything from initial training runs to real-world deployment. It handles diverse data types including video, audio, text, LiDAR, RGB-D, sensor fusion, and geospatial data. The platform enables embedding-based curation, label QA, and lineage tracking to ensure data quality before training. Users can automate data pipelines via API and SDK, integrate labeling jobs, and version data. Encord also facilitates post-training alignment through RLHF, rubric-based evaluation, and pairwise comparison, eliminating the need for multiple tools. Additionally, it provides data services with expert annotators and managed collection pipelines.

Best used for

Ideal for data scientists and developers who need to manage complex multimodal datasets, ensure high data quality for AI training, and align models for real-world deployment. Especially valuable for teams building physical AI systems in robotics, autonomous vehicles, and smart spaces.

Common actions

manage data

curate data

annotate data

align models

automate pipelines

Active Learninganalytical toolsData VisualizationlabelingComputer Visionhumans-in-the-loopmodel performanceData ManagementVisual Dataai+ 1 more

Capabilities

Key features

Multimodal data support
Embedding-based data curation
Automated data pipelines
RLHF evaluation
Rubric-based evaluation
Pairwise comparison
Expert data services

Target Audience

data scientistdeveloperstartup founderproduct manager

Integrations

Not yet documented

Pricing & Plans

Freemium · Enterprise

Not publicly disclosed. Check encord.com for current pricing.

FAQs

What types of data does Encord support for annotation?

Encord provides native support for a wide range of multimodal data types, including video, audio, text, LiDAR, RGB-D, sensor fusion, and geospatial data. It is designed to handle the diverse data produced by physical AI systems.

Does Encord offer data services in addition to its platform?

Yes, Encord offers data services that include access to expert annotators, domain specialists, and managed collection pipelines. These services are fully integrated with the platform's quality controls to ensure consistent data quality.

How does Encord help ensure data quality before AI training?

Encord employs several features to ensure data quality, such as embedding-based curation, robust label QA processes, and lineage tracking. These mechanisms help catch errors and identify edge cases early, preventing them from impacting training.

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