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Integrate Label Studio with your ML/AI workflow

Label Studio Enterprise is the most flexible platform for data labeling and model evaluation, enabling you to connect data, models, and team members to automate your workflows at scale.

Automate Workflows with ML/AI Models

Label Studio Enterprise provides the unique ability to control the level of automation and human-in-the-loop review for each project, depending on your use case and requirements. You can easily and securely connect a variety of models, including LLMs, popular frontier models, or custom ML models to:

  • Pre-annotate or auto-label data (including the new Prompts interface)
  • Facilitate interactive labeling
  • Evaluate LLM and ML model outputs
  • Automate active learning loops

See a list of supported integrations, or work with our experts to configure and integrate custom models and workflows.

Securely Connect your Data

Label Studio Enterprise supports all popular cloud storage and database providers, and you can sync multiple buckets, containers, databases, or directories to each project.

With Label Studio Enterprise, you can enable additional layers of security for the cloud storage integration, such as IAM for AWS S3, as well as granular access controls to your data by role, project, and workspace. All part of the SOC2 and HIPAA certified platform.

Read more about how HumanSignal keeps your data private

Enterprise-Grade Authentication & User Management

Whether you are managing internal team members or external annotators, Label Studio Enterprise supports all popular identity providers and lets you granularly control access to your data by role, project, and workspace. Supported SSO providers using SAML, or with LDAP authentication for on-prem customers, include Okta, Azure / Microsoft Active Directory, OneLogin, Ping Identity, and more.

The Enterprise platform also supports the SCIM2 protocol, allowing you to grant user roles and granularly manage access to data in projects & workspaces.

Integrate Label Studio Enterprise with your ML/AI workflow today.