Encord

What is Encord?

Encord is a data platform that brings data curation, annotation, model evaluation and automation agents into one place for teams building computer vision and multimodal AI. Files stay in your own AWS, GCP or Azure storage while Encord stores references, labels and embeddings, and you search large datasets with metadata filters, embeddings and natural language. The annotation tools cover images, video, DICOM, documents, text, audio and point clouds, with nested ontologies, customizable review workflows, consensus checks and RLHF or human-in-the-loop setups. AI-assisted labeling connects to SAM2, GPT-4o, Gemini and YOLO. Managers get role-based access, task queues and annotator-level performance analytics. Deployment options are Encord-managed cloud on Google Cloud, your own VPC, or air-gapped on-premise installs, and the vendor lists SOC 2 Type II, HIPAA and GDPR compliance. Encord offers Starter, Team and Enterprise plans, but the pricing page shows no prices, so costs come from sales.

Use cases

• Label images and video for computer vision
• Annotate DICOM medical imaging
• Curate and search large multimodal datasets
• Evaluate model performance on labeled data
• Run RLHF and human-in-the-loop review
• Manage large annotation workforces
• Auto-label data with SAM2 and other models

Who it's for

• ML engineers
• Computer vision teams
• Medical imaging teams
• Enterprise AI programs
• Data operations managers

Why use Encord

• Curation, annotation and evaluation share one data layer, so data registered once is reused without re-ingestion.
• Files stay in your own cloud bucket, which keeps raw data under your control.
• Review workflows and annotator analytics help teams hold label quality steady as workforces grow.
• AI-assisted labeling lets annotators start from model suggestions rather than blank frames.
• Compliance listings and flexible deployment suit healthcare, defense and other regulated work.

Encord features

• Annotation for image, video, DICOM, document, text, audio and point cloud data
• Nested ontologies and customizable labeling and review workflows
• AI-assisted labeling with SAM2, GPT-4o, Gemini and YOLO
• Data curation with metadata filtering, embedding plots and natural language search
• Model evaluation and analytics
• Data agents for automation
• Consensus workflows and quality control
• Role-based access with annotator and team performance reporting
• Bring-your-own-storage with AWS, GCP and Azure
• Cloud, VPC and on-premise or air-gapped deployment
• SSO and multi-factor authentication on Enterprise

Encord integrations

• AWS
• Google Cloud
• Azure
• SAM2
• GPT-4o
• Gemini
• YOLO

How to get started with Encord

1. Connect your AWS, GCP or Azure bucket, or upload files with the Encord SDK or interface.
2. Curate the dataset with metadata filters, embeddings or natural language search.
3. Set an ontology and a labeling and review workflow, then assign tasks to annotators and reviewers.
4. Use AI-assisted labeling and quality control to speed up and check annotations.
5. Evaluate model results against the labels, then send problem data back for another labeling round.

Encord limitations

• Pricing is not published for any plan
• Up to 10,000,000 images per Folder and videos up to 2 hours at 30fps; larger volumes need guidance from Encord
• VPC and air-gapped deployments require a support engagement and Enterprise-level setup

Encord pricing

Encord is sold on custom quotes, so its prices aren't published.

Encord plans

• Starter

  Price on vendor site

  • Image and video annotation toolkit
  • Complex and dynamic ontologies
  • Customizable workflows
  • Self-serve support

• Team

  Price on vendor site

  • Everything in Starter
  • Data agents
  • Performance analytics
  • Model evaluation
  • Onboarding support

• Enterprise

  Custom

  • Everything in Team
  • Multiple workspaces
  • Single sign-on (SSO)
  • Enterprise SLA and support
  • VPC and on-prem deployments

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Encord alternatives

The main Encord alternatives listed on Debuly are CVAT, Roboflow, Label Studio, Argilla, Avala and Crowdworks AI. The table compares pricing and platforms; order is A–Z.

1. 

   Argilla

   Open-source data curation platform where AI engineers and domain experts collect human and AI feedback to improve LLM datasets.

   Developer platformsAutomation and agents
   Open sourceVisit Argilla (official site)
2. 

   Avala

   Data platform for physical AI: visualize multi-sensor recordings, annotate LiDAR and video, and manage quality and datasets.

   Developer platforms
   FreemiumVisit Avala (official site)
3. 

   Crowdworks AI

   AI data labeling platform and managed labeling service, plus enterprise tools for building and evaluating AI agents.

   Developer platformsAutomation and agents
   Contact salesVisit Crowdworks AI (official site)
4. 

   CVAT

   Open-source annotation platform for labeling images, video, audio and 3D data, available hosted or self-hosted.

   Developer platformsAutomation and agents
   FreemiumVisit CVAT (official site)
5. 

   Label Studio

   Open source data labeling platform for images, video, audio, text and time series, with paid Starter Cloud and Enterprise editions.

   Developer platformsAutomation and agents
   Open sourceVisit Label Studio (official site)
6. 

   Roboflow

   Computer vision platform for labeling images, training detection models and deploying vision AI on the cloud, edge devices and live video.

   Developer platformsCodingAutomation and agents
   FreemiumVisit Roboflow (official site)

Encord FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from encord.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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