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Encord

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Multimodal data infrastructure for physical and enterprise AI

Веб-сайт:https://encord.com/
Добавлено:13 июл. 2026 г.
Посетители в месяц:
282.9K
Социальные сети и электронная почта:
Multimodal AIData AnnotationData CurationAI EvaluationRLHFPhysical AI
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Encord
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Информация об инструменте

Что такое Encord?

Encord is a multimodal data infrastructure platform for physical AI and enterprise teams. It supports AI data management across pre-training, post-training, and deployment feedback, including data collection, curation, annotation, alignment, and evaluation.

Основные функции

  • Multimodal data annotation

    Create annotation workflows for video, images, LiDAR, audio, text, documents, geospatial data, HTML, and sensor fusion.

  • Data curation and collection

    Collect data from dedicated facilities or fleets, search using embeddings, and apply model-in-the-loop curation to identify rare edge cases and distribution gaps.

  • Model alignment and evaluation

    Orchestrate RLHF, rubric-based evaluation, and pairwise comparison for models running in production.

  • Annotation quality and lineage controls

    Use label lineage and quality controls to support production-scale annotation workflows.

  • Data-as-a-Service

    Access annotation, collection, and physical AI data services involving domain experts, in-field operators, and teleoperation facilities.

  • Physical AI data infrastructure

    Support multimodal sensor data workflows for world models, VLA models, robotics, autonomous vehicles, drones, and industrial AI.

Варианты использования

  • #1

    World models and VLA

    Build multimodal data workflows for VLA models and world simulators.

  • #2

    Robotics and humanoids

    Support robotic perception, manipulation, and embodied AI using RGB, depth, LiDAR, and force or torque inputs.

  • #3

    Autonomous vehicles and ADAS

    Work with synchronized LiDAR, camera, and radar data for perception systems and 3D scene visualization.

  • #4

    Drones and aerial autonomy

    Support multi-sensor datasets for autonomous navigation, inspection, and monitoring.

  • #5

    Industrial and manufacturing AI

    Develop AI systems that monitor and respond to complex physical environments across retail, construction, and warehouses.

  • #6

    Enterprise AI data operations

    Manage annotation, evaluation, and RLHF workflows for AI systems deployed to customers.

Лучше всего для:Physical AI teamsEnterprise AI teamsAI model developersRobotics and autonomous systems teamsTeams building multimodal AI systems

Тарифные планы

The official source includes a Pricing link but does not clearly publish pricing details.

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Часто задаваемые вопросы

What is Encord?
Encord is a multimodal data infrastructure platform for physical AI and enterprise teams. It supports data management from pre-training and post-training through deployment feedback.
What types of data can Encord support?
The official source describes workflows for video, images, LiDAR, audio, text, documents, geospatial data, HTML, and sensor fusion.
Does Encord support AI data annotation?
Yes. Encord provides multimodal annotation workflows, along with label lineage and quality controls for production-scale annotation.
Can Encord help with data curation and collection?
Yes. Encord supports data collection from dedicated facilities or fleets, embedding-based search, and model-in-the-loop curation for identifying rare edge cases and distribution gaps.
Does Encord support model evaluation and alignment?
Yes. Encord supports RLHF, rubric-based evaluation, and pairwise comparison for models running in production.
Who is Encord for?
Encord is designed for physical AI teams, enterprise AI teams, AI model developers, robotics and autonomous systems teams, and teams building multimodal AI systems.
How much does Encord cost?
Pricing is not clearly published by the official source. The site includes a Pricing link, but the available source information does not provide pricing details.
How can I contact Encord?
The official contact page is https://encord.com/contact-us/. No public email address, phone number, or physical address is clearly listed in the available source information.

Encord Контакты и социальные сети

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Модель оплатыUnknown
КатегорияИнструменты обнаружения
Теги
Multimodal AIData AnnotationData CurationAI EvaluationRLHFPhysical AI
Языканглийский
Последнее обновление16 июл. 2026 г.
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