Starter and Team plan prices are not displayed publicly, and Enterprise requires contacting sales.
Buyers cannot compare total subscription cost from the public plan page alone.
Evidence source ↗
Encord
Encord is a multimodal data platform for curating, annotating, and evaluating datasets used to develop AI systems.
6 key claims verifiedOur editorial team checked this profile against pricing information, vendor documentation, product documentation. Supported by 4 documented sources.
Editorial overview
Aggregated Overview
The platform documents broad multimodal data workflows, annotation, curation, model evaluation, APIs, and multiple deployment options. G2 lists a 4.8 rating from 65 reviews. Public plan prices are not displayed, limiting value comparisons.
This profile combines documented product information and independent evidence where available. It is not a hands-on test unless TechZella explicitly identifies one.
Overview
Encord provides data-management software for AI development. Its platform brings together data curation, annotation, and model evaluation for multimodal datasets.
Teams can connect cloud storage rather than move raw files into a separate data store. Documented integrations include AWS S3, Azure Data Lake Storage, and Google Cloud Storage.
The product targets workflows including computer vision, robotics, autonomous vehicles, industrial AI, and medical imaging. Its plans page lists cloud hosting, with VPC and on-premises options available as Enterprise add-ons.
Encord Decision Snapshot
A quick way to understand who this product may suit, where its limits matter, and which facts are most relevant before you compare alternatives.
Best suited to
AI and machine-learning teams preparing multimodal image, video, audio, document, medical-imaging, or sensor datasets for training and evaluation.
Look elsewhere if
Buyers seeking publicly listed plan prices, or teams needing a self-hosted deployment without an enterprise engagement, should verify plan and deployment requirements before selecting Encord, and should evaluate alternatives such as Labelbox instead.
Platforms
API, AWS, Google Cloud, Microsoft Azure, SaaS
TechZella assessment
8.2/10
Encord — What Sets It Apart?
These are the product-specific differences that may matter when deciding whether the software fits your workflow. They are based on documented evidence rather than a universal ranking.
- Combines dataset curation, annotation, and model evaluation in one platform, with data remaining in connected cloud storage.
- Supports multimodal annotation workflows, including video, audio, documents, medical imaging, and LiDAR, with some specialized formats offered as add-ons.
- Enterprise pricing lists VPC and on-premises deployment options, while Starter and Team are presented as cloud plans.
Encord Pros & Cons
Pros
- Combines data curation, annotation, and model evaluation in one platform.
- Connects with major cloud object-storage systems while supporting API and SDK workflows.
- Offers VPC and on-premises deployment options as Enterprise add-ons.
- G2 displays a 4.8 out of 5 rating from 65 reviews.
Cons
- Public plan prices and add-on prices are not listed.
- Several specialized modalities are designated as add-ons.
- Some capabilities announced in October 2026 were beta or request-enabled.
Encord Gotchas & Operational Limits
These are documented constraints or practical friction points that may matter before you adopt the product.
Several specialized data modalities are shown as add-ons rather than standard included formats.
Teams using LiDAR, DICOM/NIfTI, geospatial, ECG, or custom data should confirm the required add-on and its price.
Evidence source ↗MCAP support and selected new annotation features were identified as beta or request-enabled in the October 2026 update.
Production teams may need account-team access and should confirm feature maturity before making them workflow dependencies.
Evidence source ↗Encord Pricing & Plans
Starter
For individuals and small teams prototyping AI applications. Includes image and video annotation, customizable workflows, and self-serve support. Price not published.
Check current pricing →Team
Adds data agents, performance analytics, model evaluation, and onboarding support. Price not published.
Check current pricing →Enterprise
Adds multiple workspaces, SSO, enterprise SLA and support, plus VPC and on-premises deployment add-ons. Contact sales for pricing.
Check current pricing →Pricing may change. Verify current plans on the vendor's website.
Encord Competitors & Alternatives
Compare similar products directly, then see which alternatives may make more sense when your requirements differ.
At a glance
Artificial Intelligence Software| Decision factor | Encord | Labelbox | Label Studio |
|---|---|---|---|
| Core scope | Multimodal data curation, annotation, and model evaluation for AI workflows. | Training-data workflows span Catalog, Annotate, and Model; Foundry adds model-assisted data labeling and inference. Source ↗ | Open-source and commercial editions provide data labeling, with enterprise features for team management, analytics, and evaluation. Source ↗ |
| API and SDK | Encord lists API and SDK access; its documentation describes programmatic project, metadata, and prediction workflows. | Labelbox documents an API and Python SDK for organization, dataset, and cloud-storage operations. Source ↗ | The Community, Starter Cloud, and Enterprise editions list API, SDK, and webhook capabilities. Source ↗ |
| Cloud storage connectivity | Official materials name AWS S3, Azure Data Lake Storage, and Google Cloud Storage integrations. | Labelbox documents delegated-access integrations for AWS, Google Cloud, and Azure storage. Source ↗ | Not documented |
| Deployment options | Cloud is listed, while VPC and on-premises deployments are Enterprise add-ons. | Not documented | Label Studio documents self-installation on premises or in the cloud, alongside a separate Enterprise cloud service. Source ↗ |
Only factors supported by the available research are shown. The comparison is descriptive, not a ranking.
Direct competitors
These products address broadly similar requirements. The descriptions focus on documented reasons a buyer might compare them with Encord.
Encord Features
Data management
- Dataset curation and filtering
- Metadata and embedding-based search
- Cloud storage connections for AWS S3, Azure Data Lake Storage, and Google Cloud Storage
Annotation and quality
- Image and video annotation
- Customizable labeling and review workflows
- Model-assisted labeling and prediction import
- Additional data modalities listed as add-ons
Model evaluation and integration
- Model evaluation and analytics on Team and Enterprise plans
- API and SDK access
- Programmatic prediction and annotation workflows
Deployment and administration
- Cloud deployment
- Enterprise VPC and on-premises deployment add-ons
- Enterprise multiple workspaces and SSO
Demo & Screenshots
Encord Specifications
| Deployment | Cloud; Enterprise VPC and on-premises options are listed as add-ons |
|---|---|
| Integrations | AWS S3, Azure Data Lake Storage, Google Cloud Storage |
| API | API and SDK listed on pricing page; Python SDK documented |
| Pricing transparency | Plan prices not publicly listed |
| Specialized modalities | DICOM/NIfTI, geospatial, ECG, LiDAR/point cloud, and other capabilities listed as add-ons |
Deployment & System Footprint
Verified installation, hosting, administration, or environment details that can affect implementation.
| Hosting options | Cloud is listed on the plans page; VPC and on-premises deployments are listed as Enterprise add-ons. Source ↗ |
|---|
Migration & Lock-In
Documented portability, standards, export, or switching considerations. No switching-cost score is shown unless the evidence supports one.
Data portability
The platform supports API/SDK access to projects, datasets, and annotations; documentation also describes exporting labels and prediction data through the SDK. No vendor migration service or complete exit process was verified.
Evidence source ↗Our evidence-based assessment
TechZella Score
A proprietary editorial score based on product capabilities, usability, value, performance, support and user sentiment evidence.
8.2/10Moderate confidence
The platform documents broad multimodal data workflows, annotation, curation, model evaluation, APIs, and multiple deployment options. G2 lists a 4.8 rating from 65 reviews. Public plan prices are not displayed, limiting value comparisons.
Methodology v1.0. The assessment weighs feature coverage (25%), ease of use (15%), value for money (20%), performance (15%), support (10%) and user sentiment (15%), using researched product evidence and verified review evidence where available. It is a TechZella editorial assessment, not a direct user-review average.
Editorial transparency
Our Review Methodology
Key claims are linked to the sources used to verify them. This evidence record is separate from third-party user ratings.
TechZella evaluates software using documented product capabilities, pricing information, usability and value considerations, independent user evidence where available, and competitive context. The assessment is an editorial review, not a hands-on test unless one is explicitly identified. Our editorial assessment is based on 4 documented sources.
What TechZella adds
- Combines dataset curation, annotation, and model evaluation in one platform, with data remaining in connected cloud storage.
- Supports multimodal annotation workflows, including video, audio, documents, medical imaging, and LiDAR, with some specialized formats offered as add-ons.
- Enterprise pricing lists VPC and on-premises deployment options, while Starter and Team are presented as cloud plans.
Important limitations
- Public dollar prices are not shown for Starter, Team, or Enterprise, so buyers need to contact the vendor or sign up to establish cost.
- The pricing page marks several data types, including DICOM/NIfTI, geospatial, ECG, and LiDAR/point-cloud workflows, as add-ons.
- MCAP labeling, selective classes by workflow stage, and some medical-imaging enhancements were described as beta or available by request in October 2026.
Evidence-backed claimsEncord offers Starter, Team, and Enterprise plans. The pricing page lists API and SDK access, cloud deployment, and Enterprise VPC and on-premises add-ons. Encord connects to AWS S3, Azure Data Lake Storage, and Google Cloud Storage. Encord documents multimodal annotation and curation workflows across multiple data types. G2 lists Encord at 4.8 out of 5 from 65 reviews. Encord announced a $60 million Series C in February 2026 and said the funding brought its total to $110 million.
The official pricing page identifies three plan tiers and summarizes their intended team sizes and included features.
View source ↗Verified 2026-11-12The plan comparison presents the API/SDK feature and deployment options, including VPC and on-premises add-ons.
View source ↗Verified 2026-11-12The official integrations page names those storage systems and describes keeping raw data in place.
View source ↗Verified 2026-11-12The plans page lists images, video, audio, documents, and several additional formats, while the integrations page describes data curation and API/SDK access.
View source ↗Verified 2026-11-12The public G2 seller page displays the rating and review count.
View source ↗Verified 2026-11-12The company's announcement identifies the funding amount, date, and reported total funding.
View source ↗Verified 2026-11-12Encord FAQs
Answers begin with the clearest available response, followed by the context that helps you act on it.
Does Encord offer a free trial?
No. The public pricing page does not state that a free trial is available. It offers Starter sign-up and Team sign-up options, without publishing a trial duration.
How much does Encord cost?
Encord does not publish dollar prices for Starter, Team, or Enterprise on its pricing page. Buyers must use the sign-up or sales routes shown there to establish pricing.
Does Encord provide an API or SDK?
Yes. The pricing page lists API and SDK access, and Encord documents programmatic workflows for projects, datasets, and annotations.
Can Encord connect to AWS or Azure storage?
Yes. Encord lists AWS S3 and Azure Data Lake Storage, as well as Google Cloud Storage, among its storage integrations.
Can Encord be deployed on premises?
The pricing page lists on-premises deployment as an Enterprise add-on. Buyers should confirm availability and commercial terms with Encord.
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