Azure Machine Learning data labeling will retire in September 2026, but don't worry, Label Studio Enterprise keeps your pipelines flowing with full support for Azure storage, permissions, and workflows.
Native integrations for Azure Blob Storage give you immediate access to existing datasets
Native integrations with Azure AI Foundry and Azure OpenAI models, or bring your own models
Enterprise-grade support for Service Principal, Microsoft Entra ID (formerly Active Directory), and SCIM provisioning
Multi-modal platform supports text, audio, vision, time series, conversational data, and more
Match your specific data and workflows with custom plugins and JavaScript
Automate task assignment, AI-assisted labeling, auto QA, low-agreement escalation, commenting, and more through the SDK
Granular permissions for internal SMEs, external contractors, and service providers
Boost quality and keep your AI audit-ready with scalable human-in-the-loop workflows, designed to fit seamlessly in the Azure ecosystem.
AI-assisted labeling with automated team management and QA to speed throughput without sacrificing accuracy.
Accelerate your AI pipeline with access to expert labeling, evaluation, and implementation services.
Built on the largest open source data labeling project and backed by a community of 350K+ data science practitioners.
Register for an upcoming guide to plan your migration from Azure Machine data labeling, or start a conversation about migration right now!