🚀 New: Automated AI Evals to Compare LLMs, Fine-Tune Prompts, and more!
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HumanSignal Platform

Train, evaluate and fine-tune your AI models with the platform trusted by more than 350,000 data scientists and annotators.


Reliable application of Generative AI requires strong evaluation workflows. HumanSignal gives you the tools you need to build trustworthy LLMs.

  • Start evaluating LLMs immediately with pre-built Evaluators.
  • Define custom evaluation metrics based on your specific needs and use cases.
  • Integrate manual evaluation workflows and data visualization for more complex or critical assessments.
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Prompt Engineering

Use the power of LLMs to generate high-quality datasets and accurate prompts using our Prompts interface.

  • Rapidly create and evaluate prompts using real-time feedback. Leverage prompt versioning to catalog and implement your best-performing prompts.
  • Fine-tune prompts against a ground truth dataset to ensure prompt accuracy.
  • Fully automate labeling with LLMs using our purpose-built UI and constrained generation to prevent hallucinations. Keep inference costs down by measuring prompt performance against a ground truth dataset to ensure the LLM generates accurate labels at scale.

Data Labeling

Leverage human feedback to give your models a competitive edge with both manual and automated labeling workflows using all the data annotation features you love from Label Studio.

  • Increase efficiency of manual data labeling with automated workflows and team performance management.
  • Ensure accuracy of ground truth datasets with reviewer workflows and quality reporting.
  • Use one platform for all data types and formats with templates and SDKs to easily configure labeling tasks.
  • Use HumanSignal’s machine learning backend to pre-label samples, enable AI-assisted labeling, or generate predictions for model fine-tuning.
  • Data Discovery lets you identify, catalog, search, and operationalize all your unstructured data in a single view. Learn more

Team Management

Ensure your training and fine-tuning data delivers optimal model results with highly customizable reviewer workflows that put the right data in front of the right annotators—at just the right time.

  • Define roles and access at the project level for team members and outside contractors.
  • Define rules and criteria to automatically assign or manually assign tasks to annotators.
  • Identify and resolve problematic items quickly using the smart annotator agreement matrix. Automatically bring in additional annotators to look over any tasks with low agreement.
  • Comments and notifications speed up the labeling process, increase annotation quality, and build more solid labeling and review processes with comments and notifications.
  • Use the Annotator Dashboard to ensure labeling contractors are performing well and paid accurately, and explore how annotators have allotted time across tasks.

Dashboards and Reporting

Monitor progress, throughput, data quality, and labeling effectiveness with performance dashboards.

  • Make informed decisions quickly to improve efficiency and effectiveness of data labeling projects.
  • View project-level highlights for lead times and other KPIs by user-defined time periods.
  • Drill into time series charts for specific work being performed for tasks, annotations, and reviews.
  • View label distribution for the top 30 labels in a project.

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