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Unlock efficient, compliant annotation workflows at scale with Label Studio Enterprise. Streamline human feedback for all data modalities in one platform with AI-assisted automation and secure collaboration for internal and external vendors. Standardize workflows, improve quality, and keep data pipelines auditable, reproducible, and ready for production.
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.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Label Studio Enterprise 10 User Seats | Annual contract for the annotation platform priced by user seats. Volume discounts available. Contact us for private offer options. | $36,000.00 |
Dimensions summary
You buy this data annotation platform through a single annual contract priced by user seats. This option covers 10 user seats. The seat count sets your cost, so pricing scales with the number of users you add. Volume discounts apply as your seat count grows. You can also contact the vendor for private offer options tailored to your organization. Billing runs on a yearly commitment rather than hourly or usage-based metering.
Top-of-mind questions for buyers
A seat is one named user account with access to the platform. This contract covers 10 seats. You assign roles like Owner, Admin, Manager, Reviewer, or Annotator to each user. Each person needing access consumes one seat, regardless of their role or activity level.
The contract covers 10 seats. To support more users, you add seats, and pricing scales with the total count. Volume discounts apply as your seat count grows. You can contact the vendor for private offer options tailored to your seat needs.
No. This contract meters user seats, not data volume, projects, or task counts. You can import datasets, run projects, and connect cloud storage without per-task charges from this listing. Your cost stays tied to the number of user seats you hold.
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Delivery details
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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Support
Vendor support
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.
For sales and commercial inquiries:
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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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