Starter

Individuals and small teams building and prototyping small AI applications.

what’s included?

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

Team

Teams building, managing, and scaling a few AI applications.

what’s included?

Everything in Starter, plus:

Data agents
Performance analytics
Model evaluation
Onboarding support

Enterprise

Companies shipping multiple AI applications across several teams.

what’s included?

Everything in Team, plus:

Multiple workspaces
Single sign-on (SSO)
Enterprise SLA & support
VPC & on-prem deployments

Lightning fast

Trusted by 200+ of the world’s top AI teams

Effortlessly manage your unstructured data and say goodbye to traditional and vector database infrastructure. Cut down over 50% of the time your data scientists spend on data preparation with our premier data management and curation tool.

20%

increase in model performance

Boosting Last-mile Model Performance

20%

increase in model performance

Boosting Last-mile Model Performance

$600K

saved per year

How Standard AI Powers Retail Intelligence At Scale

20%

increase in model performance

Boosting Last-mile Model Performance

$600K

saved per year

How Standard AI Powers Retail Intelligence At Scale

10%

saved per year

How Standard AI Powers Retail Intelligence At Scale

20%

increase in model performance

Boosting Last-mile Model Performance

$600K

saved per year

How Standard AI Powers Retail Intelligence At Scale

10%

improvement

Finding a Reliable Ecosystem to Scale Model Development

10%

improvement in model performance

Finding a Reliable Ecosystem to Scale Model Development

20%

increase in model performance

Boosting Last-mile Model Performance

$600K

saved per year

How Standard AI Powers Retail Intelligence At Scale

10%

improvement

Finding a Reliable Ecosystem to Scale Model Development

10%

improvement in model performance

Finding a Reliable Ecosystem to Scale Model Development

40+

annotators trained using Encord's QA and annotation review features

Finding a Reliable Ecosystem to Scale Model Development

Trusted by leading AI teams

Testimonial

What our customers say

Prajwal Kotamraju

Head of Computer Vision
@ Automotus

“We now have an integrated, one-stop solution where we can manage our data and also understand our model performance – and the errors and issues where the models are not performing well – and create the feedback mechanisms to improve our models and data.”

Read case study

Build vs. buy

Save months of development & years of ongoing maintenance

Average in-house solution

$50,000+/year in cloud fees

$700,000+ in development costs

$150,000+/year in ongoing maintenance

No dedicated support team

No MLOps integrations & not built to scale

Rarely part of company IP

Critical dependency on 5-6 employees building & maintaining tooling & codebase

>99.9% uptime and real-time collaboration

Scales end-to-end data management platform

Complete annotation suite for the most complex use cases

Private cloud integrations for complete privacy

Dedicated ML Solutions Engineer & CS Manager

SOCII Type II, GDPR, HIPAA compliant

Forward compatible with future use cases

Build flexible pipelines with Encord’s API & SDK

Frequently asked questions

Yes. In addition to being able to train models & run inference using our platform, you can either import model predictions via our APIs & Python SDK, integrate your model in the Encord annotation interface if it is deployed via API, or upload your own model weights.
At Encord, we take our security commitments very seriously. When working with us and using our services, you can ensure your and your customer's data is safe and secure. You always own labels, data & models, and Encord never shares any of your data with any third party. Encord is hosted securely on the Google Cloud Platform (GCP). Encord native integrations with private cloud buckets, ensuring that data never has to leave your own storage facility.

Any data passing through the Encord platform is encrypted both in-transit using TLS and at rest.

Encord is HIPAA&GDPR compliant, and maintains SOC2 Type II certification. Learn more about data security at Encord here.
Yes. If you believe you’ve discovered a bug in Encord’s security, please get in touch at security@encord.com. Our security team promptly investigates all reported issues. Learn more about data security at Encord here.
Yes - we offer managed on-demand premium labeling-as-a-service designed to meet your specific business objectives and offer our expert support to help you meet your goals. Our active learning platform and suite of tools are designed to automate the annotation process and maximise the ROI of each human input. The purpose of our software is to help you label less data.
The best way to spend less on labeling is using purpose-built annotation software, automation features, and active learning techniques. Encord's platform provides several automation techniques, including model-assisted labeling & auto-segmentation. High-complexity use cases have seen 60-80% reduction in labeling costs.
Encord offers three different support plans: standard, premium, and enterprise support. Note that custom service agreements and uptime SLAs require an enterprise support plan. Learn more about our support plans here.

Advanced features and security standards for complex data pipeline

Customized workflows

Orchestrate and accelerate your labeling data pipeline with advanced no-code workflow builders. Integrate SOTA models such as GPT-4o and Gemini or your own models directly into data workflows to automate data reviews, pre-labeling, data classification, filtering and more.

API/SDK for programmatic access to Encord

Leverage our customizable SDK to interact with the Encord platform programmatically. Automate data pipelines that integrate with existing MLOps stacks. Upload data or integrate with cloud storage, access and manage projects, datasets, ontologies and labels within the platform via API.

Strict adherence to compliance standards

Rigorous compliance with industry standards to protect your most sensitive data. Safeguard personal information, protected health data, and valuable intellectual property through comprehensive security protocols and data handling practices that meet the highest regulatory requirements.

Take control of your ML pipeline with Encord

Forget fragmented workflows, annotation tools, and Notebooks for building AI applications. Encord's Data Development platform accelerates every step of taking your model into production.

Trusted by leading AI teams

Need help with the product?

Check out our Documentation

Looking to join the team?

Check out our Careers

Want to get started with Encord?

Reach out to book a demo

🚨 Upcoming Webinar | How to build agentic data workflows

DICOM & NIfTI

Deploy medical AI products faster with the leading medical annotation tool

Level-up your model development and create high-quality training data up to 10x faster with the most advanced image labeling tool.

Powering the world's leading AI teams

Metadata viewer.Search, filter, and slice your data for all defined & custom metadata and sequences associated with your file.

Maximum intensity Projection.Simply drag and adjust the volume of your displayed images that suits your annotation needs.

HTJ2K Support.At the forefront of DICOM development, we support the latest transfer syntaxes for DICOM files.

Distance measurement.Measure real-world distances between any two points on an image to convert pixels into distance accurately.

Bring your custom models.Label data faster with models-in-the-loop. Bring your own model to Encord seamlessly.

Programmatically upload data.Use our API/SDK to programmatically upload your projects, datasets, and labels.

Frequently asked questions

Supply chain automation refers to the use of AI, robotics, and data-driven systems to optimize logistics, warehousing, and transportation processes. It reduces manual labor, improves efficiency, and enhances decision-making in supply chain operations.
Supply chain automation refers to the use of AI, robotics, and data-driven systems to optimize logistics, warehousing, and transportation processes. It reduces manual labor, improves efficiency, and enhances decision-making in supply chain operations.
Supply chain automation refers to the use of AI, robotics, and data-driven systems to optimize logistics, warehousing, and transportation processes. It reduces manual labor, improves efficiency, and enhances decision-making in supply chain operations.
Supply chain automation refers to the use of AI, robotics, and data-driven systems to optimize

Title

Description

Title

Description

Title

Description

Modalities

Title

Description

Video Captioning

Object segmentation & tracking

Audio transcription & speaker diarization

Sentiment analysis

OCR text extraction

Routing by reasoning

LLM as a judge

Multimodal data augmentation

Customize document and text annotation workflows with Encord Agents

Integrate SOTA models such as GPT4o, Gemini Pro 1.5 and more into data workflows to automate and accelerate document annotation processes. Auto-label or preclassify text content to save labeling resource or auto-sort millions of files to streamline data preparation workflows.

One platform to accelerate multimodal data development

Image

Video

Audio

Document & Text

DICOM

Annotate audio files for any use case

Take advantage of global or temporal classifications to accurately and efficiently label audio data for any use case.

Speaker Recognition

Use temporal classifications to annotate characteristics of speech or music files such as emotion and speaker to train Generative AI models.

Sound Event Detection

Use temporal classifications to annotate elements of audio files containing specific sounds to train audio recognition models.

Audio File Classification

Use global classifications to categorize and annotate individual audio files.

Encord RESOURCES

Explore other resources

Webinars

How to build an AI agent on your own data

Learn how to use Encord Agents to integrate foundational models and custom models into your data workflows to build production grade AI models faster. Register now to upgrade your AI data workflows.

Product

Supporting your labeling needs

Super charge your data annotation with AI-powered labeling — including automated interpolation, object detection and ML-based quality control.

Explore Annotate

Whitepaper

Maximizing AI ROI: Why Data Matter Most

Many organizations overlook a crucial first step for successful implementation: getting their data ready for AI. Explore our AI report to gain insight into maximizing AI ROI.

Download Whitepaper

Significant improvements in workflow efficiency and data accuracy 📄

Maayan Gerbi

Clinical AI Specialist

Read case study

Reduced labeling time for 60,000 CT and MRI scans 💫

Leander Mäerkisch

Founder

Read case study

70% reduction in annotation hours ⏰

Dr.James Ryan Mason

Neuroradiologist

Read case study