
Encord
Encord is a paid multimodal data infrastructure layer for AI teams, covering work from pre-training and post-training through deployment.
What Encord is
Encord is a paid multimodal data infrastructure layer for AI teams, covering work from pre-training and post-training through deployment. Human-in-the-loop labeling and review support image, video, audio, text, DICOM, LiDAR, geospatial, ECG, and other data. Image tools include boxes, rotatable boxes, polylines, polygons, primitives, keypoints, bitmasks, classifications, and native SAM 2 support. Dataset curation uses metadata and attribute filters, embeddings-based search, and natural-language search. Encord also provides model evaluation, rubric-based evaluation, RLHF, and pairwise model comparison. Projects, datasets, and annotations are available through an API and SDK, with integrations for AWS S3, Azure Data Lake Storage, and Google Cloud Storage. Deployment options include US and EU locations, private VPC, and on-premises environments. The company states that data at rest uses AES-256 encryption and data in transit uses HTTPS over TLS, including TLS 1.3. It reports a completed SOC 2 examination and describes the service as HIPAA and GDPR compliant. Pricing is on request and there is no free plan.
Good
- Supports many multimodal data types
- Includes model-assisted and SAM 2 labeling
- Offers embeddings and natural-language dataset search
- Provides API and SDK access
- Supports private VPC and on-premises deployment
Watch out
- Pricing is available only on request
- No free plan
- Broader features target AI development teams
Who it suits
Encord suits AI individuals, teams, and enterprises managing multimodal labeling, curation, and evaluation. It is relevant when API access, varied deployments, and specialized annotation types are needed.
Verdict
Encord brings labeling, curation, and model evaluation into one infrastructure layer. Its deployment, security, and integration choices fit organizations with defined AI data workflows and paid software requirements.
Plans and prices
From Encord's own pricing page, checked 8 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Enterprise | Priced on request | Everything in Team · Multiple workspaces · SSO · Enterprise SLA & support · VPC and on-prem deployments · Data volume 1bn+ |
| Starter | Priced on request | Image & video annotation toolkit · Complex & dynamic ontologies · Customizable workflows · Self-serve support · Data volume up to 500k |
| Team | Priced on request | Everything in Starter · Data agents · Performance analytics · Model evaluation · Onboarding support · Data volume up to 100m |
The facts
Each one read from Encord's own pages, with the date it was checked.
What it does
- Annotation
- The platform supports human-in-the-loop labeling and review for image, video, audio, text, DICOM, LiDAR, geospatial, ECG, and other data.checked 8 Oct 2026
- Annotation tools
- Image annotation includes boxes, polylines, polygons, primitives, keypoints, bitmasks, and native SAM 2 support.checked 8 Oct 2026
- Compliance
- Encord states it has completed a SOC 2 examination and describes itself as HIPAA compliant and GDPR compliant.checked 8 Oct 2026
- Curation
- Encord offers metadata and attribute filtering, embeddings-based search, and natural-language search for dataset curation.checked 8 Oct 2026
- Data handling
- With cloud integration, Encord says its platform does not store customer data by design; direct platform storage is also available, using Google Storage.checked 8 Oct 2026
- Data residency
- Encord offers US and EU deployment options as well as private VPC and on-premises deployments.checked 8 Oct 2026
- Evaluation
- The platform supports model evaluation, rubric-based evaluation, RLHF, and pairwise model comparison.checked 8 Oct 2026
- Integrations
- Cloud storage integrations named on the site include AWS S3, Azure Data Lake Storage, and Google Cloud Storage; users can access projects, datasets, and annotations through API/SDK.checked 8 Oct 2026
- Intended users
- The pricing page positions Starter for individuals and small teams prototyping AI applications, Team for teams scaling a few applications, and Enterprise for companies shipping multiple applications across teams.checked 8 Oct 2026
- Product
- Encord describes itself as a multimodal data infrastructure layer for AI teams, spanning pre- and post-training through deployment.checked 8 Oct 2026
- Security
- The security page says data at rest is encrypted with AES-256 and data in transit uses HTTPS over TLS, including TLS 1.3 support.checked 8 Oct 2026
- Support
- The listed plans include self-serve support for Starter, onboarding support for Team, and enterprise SLA and support for Enterprise.checked 8 Oct 2026
The company
- Company
- The company page says Encord powers multimodal AI development from training to real-world deployment and reports $110M in total funding and 300+ teams.checked 8 Oct 2026
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