Simple pricing to help you scale

Select the plan that fits your team’s needs and start building better models, faster.
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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
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Team

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


what’s included?

Everything in Starter, plus:
  • AI-assisted labeling
  • Consensus workflows
  • RBAC & Collaboration
  • Data management & curationAdd-on
  • Model evaluationAdd-on
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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
  • Private cloud & on-premiseAdd-on

Trusted by pioneering AI teams

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Testimonial

What our clients say

Profile

Prajwal Kotamraju

Co-Founder and 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
Compare features
Starter
Team
Enterprise

Platform

Overview

API & SDK

Multiple workspaces

Single sign-on (SSO)

Multi-factor Authentication

Annotation

Annotation & workflow tools

Index

Data curation & management

Active

Model testing & evaluation

Security & Support

Overview

Custom MSA & SLA

Support

Self-serve

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 to millions of data points

Active learning capabilities out of the box

Dedicated ML Solutions Engineer & CS Manager

Private cloud integrations for complete privacy

SOCII Type II, GDPR, HIPAA Compliant

Forward compatible with future use cases

Build automated pipelines with Encord’s API & SDK out of the box

Accelerate Time to Production
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.

Take control of your ML pipeline with Encord

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