Overview
Label Studio is a scalable, multi-modal annotation platform designed for teams that need high-quality training data, trustworthy evaluation workflows, and integrated, repeatable processes that fit seamlessly into modern ML/AI pipelines. 1 million people have labeled data with Label Studio across research labs, startups, and global enterprises.
AI Platform teams at Bayer, EA, Epic Games, Lufthansa Technik, Verily, Zendesk, and many more, centralize their annotation workflows on Label Studio Enterprise because it:
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Supports all data types in one platform, including complex multimodal tasks, with fully customizable labeling interfaces and workflows.
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Speeds up annotation and reduces manual effort with model-assisted pre-labeling, active learning, and automated quality checks.
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Guarantees high-quality data for production-grade AI systems with built-in QA workflows, consensus scoring, and agreement metrics across annotators, ground truth, and model predictions.
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Streamlines workforce management across internal teams and external vendors with robust controls for privacy, quality, and throughput.
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Meets rigorous enterprise requirements for security, compliance, and emerging AI regulations, including support for S3 with IAM role access, ensuring sensitive data remains fully isolated and under enterprise control.
Label Studio Enterprise provides the critical human intelligence layer that helps AI teams get high-quality models to production faster, and ensures their systems continually improve, adapt, and remain compliant as requirements evolve.
Highlights
- High-Quality Training Data & RLHF: Create high-quality training data and RLHF signals with model-assisted labeling, preference collection, and reviewer workflows. Capture corrections, rankings, and critiques, and feed them into training pipelines to accelerate improvement and build safer, better-aligned models.
- Multimodal Agent Evaluation: Evaluate agent systems that generate apps, images, code, text, or video with structured, human-in-the-loop workflows. Inspect full multimodal traces, reasoning, tool calls, and outputs, in one interface. Run live multi-turn chat evaluations, compare agents in an Agent Arena, and apply flexible rubrics to assess comprehension, responsiveness, safety, and execution quality.
- Custom AI Benchmarks: Build and maintain domain-specific AI benchmarks with structured scoring, human review, and LLM-as-a-judge workflows to turn model evaluation into clear, repeatable metrics. Compare model versions, prompts, and guardrails, and track improvements or regressions over time. Produce auditable, reliable benchmark results that evolve with your AI systems.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
Label Studio Enterprise 5 User Seats | Annual contract for the annotation platform priced by user seats. Volume discounts available. Contact us for private offer options. | $18,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Enterprise subscriptions include dedicated technical support and uptime SLAs. Enhanced support tiers, professional services, and expert labeling services are also available to accelerate deployment and maximize the value of your data operations.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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