Whether you're building a chatbot, analyzing documents, or evaluating LLM outputs, Label Studio gives you the tools to label, review, and scale NLP pipelines with confidence.
Configure tasks, train models, analyze outputs.
Efficient UI tips, review workflows.
Secure deployment, storage, integrations.
QA processes, workforce setup, feedback loops.
See what other humans have achieved with the HumanSignal platform and join the teams building the next gen of AI.
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From revitalizing endangered dialects to improving machine translation for underrepresented populations, Label Studio helps researchers and practitioners tackle NLP challenges where data is scarce, and every label counts.
Build Sentiment Analysis Datasets that Reflect Real-World Language Use
Train Emotion Detection Models with better labeled data
Detect Harmful or Offensive Language at Scale
Label Multilingual Social Media and Text Data with Precision
The HumanSignal platform is a solution for growing teams and large or complex organizations. It is a highly customizable, end-to-end data labeling platform for every data type, use case, and dataset. The platform empowers your company to tackle any project, no matter how complex, while getting the most out of your company DNA, aka your data.
The HumanSignal platform includes all the security, governance, and management functionality you’d expect in an enterprise solution but with an intuitive, easy-to-use experience that drives adoption and usage. The HumanSignal platform powers the work of some of the world’s leading companies across virtually all industries - like Lufthansa, Zendesk, and Outreach - and can handle massive data volumes and large mixed teams of internal and external users with ease.
The HumanSignal platform is a paid plan available via the cloud or on-prem. To learn more about what’s included in the HumanSignal platform, visit our pricing page here.
Yes. The HumanSignal platform was designed to meet the most stringent security, privacy, and regulatory requirements, offering multiple ways to keep your data safe.
The HumanSignal platform can be deployed securely on-prem or as a fully managed SOC2-certified cloud platform. Regardless of the deployment method, your data is never stored on HumanSignal servers but instead loaded directly into the annotator browser. All data is also encrypted at rest, and sensitive data is encrypted in transit.
In addition, the HumanSignal platform offers user management and security features like SSO integration, SCIM, and RBAC that allow admins fine-grained control over access to workspaces, projects, and data, including both internal and external teams. Learn more about HumanSignal's comprehensive security features here.
The HumanSignal platform helps organizations get the most from their people and data so they can build AI at scale in a fraction of the time. More than 250,000 data scientists and annotators use the HumanSignal platform to prepare training data, fine-tune LLMs, and validate models. You can accelerate your labeling with automation, manage large internal and external teams, collaborate on complex tasks, and more - all in one place. Find out more about the HumanSignal platform here.
The HumanSignal platform is priced based on user seats. Contact sales for a custom quote and a full breakdown of pricing.
The HumanSignal platform is for teams building AI at scale and is available as a secure hosted cloud platform or on-premise. This edition includes all features from Community Edition plus tools for managing large internal and external teams, dedicated roles and permissions, analytics and reporting, uptime and support SLAs, and more. In addition, the HumanSignal platform will soon include data discovery (semantic and similarity search) and additional forms of automation (generative AI and interactive labeling). Compare plans and features here.
Leading companies know that building performant and differentiated AI models requires the right mix of people, technology, and processes. The HumanSignal platform helps organizations get the most from them all - in one place.