Encord
Encord is a unified data development platform designed for managing, curating, and annotating petabytes of unstructured multimodal data to create high-quality datasets…
Our verdict
Who it's for
Manage, curate, and annotate multimodal AI data to accelerate AI model development and deployment.
Who should look elsewhere
Enterprise features require contacting sales for pricing.
Pros
- +Significantly improves annotation accuracy and model performance.
- +Reduces data management complexity and labeling costs.
- +Scalable platform for petabytes of multimodal data.
- +Offers comprehensive security and compliance features.
- +Integrates with existing cloud storage and MLOps tools.
Cons
- −Enterprise features require contacting sales for pricing.
- −Some advanced data types and support options are add-ons.
- −No explicit mention of a free trial for paid tiers.
Key features
- ✓Image & video annotation toolkit
- ✓Complex & dynamic ontologies
- ✓AI-assisted labeling with model prediction import and Segment Anything Model 2
- ✓Data curation & management with multi-modal search and outlier detection
- ✓Model evaluation with analytics, plots, and custom metrics
- ✓Active learning pipelines and dataset balancing
- ✓Role-based access controls and annotator performance dashboard
- ✓API & SDK for workflow integration
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Starter | — | month | Image & video annotation toolkit; Complex & dynamic ontologies; Customizable workflows |
| Team | — | month | Everything in Starter; Data agents; Performance analytics |
| Enterprise | — | month | Everything in Team; Multiple workspaces; Single sign-on (SSO) |
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