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Encord Annotate

Data service

by Encord

Encord Annotate is Encord's multimodal data labeling product, used to annotate and review images, video, audio, text, documents, DICOM, LiDAR and geospatial data. It provides AI-assisted labeling, customizable ontologies, human-in-the-loop review workflows and quality-control tooling for managing large annotation teams.

Find alternatives to Encord Annotate

No dollar figures are published. Three tiers - Starter, Team and Enterprise - with 'Get started' and 'Contact sales' CTAs only. The pricing comparison table carries a dedicated 'Annotation' section (data types, AI-assisted labeling, quality control) whose features expand across the tiers.

What it does

• Data labelling
• Workflow automation

Sources

Pricing

Pricing page · 5 Sep 2026

'Annotation' is one of five named sections in the tier comparison table (Platform, Annotation, Index, Active, Support). No amounts shown.

Description

Official documentation · 5 Sep 2026

'Encord Annotate allows you to efficiently label multi-modal data, manage large-scale annotation teams, and ensure high-quality data for machine learning applications through customizable workflows and quality control tools.' The vendor's own spelling 'Encord Annotate' is used consistently as the module title.

Sold within

Pricing page · 5 Sep 2026

Sold as a section of the Encord platform plans (Starter / Team / Enterprise), not as a separately purchasable SKU.

URL

Official documentation · 5 Sep 2026

Dedicated marketing page linked from the site nav under Platform > Product. Headline 'Achieve high-quality data labeling 10x faster'.

Also from Encord

• Encord Platform

  The multimodal data layer for physical AI: one platform for managing, curating, annotating and aligning sensor, video, image and text data at petabyte scale. The modules a buyer licenses — Annotate, Index and Active — are recorded separately.

• Encord Index Data service

  Encord Index is Encord's multimodal data curation and management product. It lets teams search datasets with natural language and similarity search across video, image, audio, LiDAR, text, document, geospatial and HTML files, filter by 40+ data metrics and custom metadata, visualise outliers on embeddings plots, and remove duplicates and poor-quality data via Collections. Data stays in the customer's own cloud with 'zero data migration required'.

• Encord Active Data service

  Encord Active is Encord's model and data evaluation product. It evaluates and validates models against their data to surface, curate and prioritise the most valuable data for training and fine-tuning, covering model robustness checks, drift and failure-mode detection, automated label-error detection, and active learning workflows across images, video, 3D/LiDAR, audio and documents.

• Data Agents Agent platform

  Data Agents automate Encord data pipelines by integrating humans, state-of-the-art models and a customer's own models into data workflows. They handle tasks such as pre-labeling, object segmentation and tracking, video captioning, audio transcription and sentiment analysis, combined with human-in-the-loop quality assurance.

• Merlin AI agent

  Merlin is Encord's agentic intelligence layer, letting teams build, observe and optimise their data infrastructure through conversation. It creates complete labeling setups from prompts or documents, reports data metrics and coverage gaps on demand, and surfaces issues affecting model performance. It is reachable inside Encord or from external tools over Model Context Protocol, including Claude and Slack.

• Encord Data Annotation Data service

  Managed annotation service: Encord supplies vetted domain experts for a customer's task and runs the projects, with an evaluation workflow built around the customer's own spec rather than volume alone.

• Encord Data Collection Data service

  Managed collection of real-world training data for physical AI: in-field operators, teleoperation facilities and configurable lab environments gathering the embodied, egocentric and sensor data a robotics model needs.

• Physical AI Data Data service

  End-to-end data service for robotics, autonomous systems and embodied AI: data collection (in-field operators, teleoperation), curation, LiDAR/point-cloud/multi-camera annotation, VLA/VLM action-captioning, and post-deployment feedback loops, with on-prem/VPC deployment.

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