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Encord Data Annotation

Data service

by Encord

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.

Find alternatives to Encord Data Annotation

No figure published. The service page routes to 'Speak to an AI expert' and 'Book a demo'; the pricing page covers the software platform's Starter, Team and Enterprise tiers and carries no rate for the managed services.

What it does

• Data labelling

How it compares

• Label Studio Enterprise

  Label Studio Enterprise serves teams where Encord is weakest: those who need self-hosted deployment, configurable labeling interfaces for customized workflows, and/or native RLHF and LLM evaluation capabilities alongside traditional annotation.

  Company disclosure · 22 Sep 2026

Sources

Pricing

Not found · 5 Sep 2026

The pricing page prices the platform tiers only; the managed services are quoted.

Description

Official documentation · 5 Sep 2026

The page's own hero, fetched 2026-09-05, HTTP 200: 'Expert annotation for physical AI, multimodal systems, and LLMs — Vetted domain experts for your task, and an evaluation workflow built around your spec. Encord runs annotation projects for AI teams that need more than just volume.'

Sold within

Not found · 15 Sep 2026

Live re-check attempted 2026-09-15: encord.com/pricing and every Data-as-a-Service page candidate could not be fetched at all (repeated failures across multiple attempts and URLs) — genuinely unreachable, not merely unconfirmed.

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 Annotate Data service

  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.

• 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 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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