Primer LightTag

Create precise datasets to scale your workflows

Teams can confidently collaborate to build datasets with accurate labels and meet quality standards.


Get better labeled data, faster

LightTag’s AI algorithms, powered by Primer’s industrial grade NLP, automate simple labeling and free up your team’s time to focus on core competencies.


Scale your team, not your costs

Annotate with multiple annotators and let LightTag manage your workforce automatically. LightTag enables multiple annotators, assigning work by language and domain expertise. In addition, LightTag also offers reporting on annotator accuracy and productivity.

Read the LightTag Solution Brief(Opens in a new window)


Have confidence in your data quality

LightTag’s review mode and reporting make it easy to ensure you build high quality datasets for ML model training and validation.

Read Case Study: Alliance Trucking(Opens in a new window)


Responsive and seamless user interface

LightTag’s user experience (UX) saves time and money with keyboard shortcuts, error detection warnings, and a fast response time. LightTag’s interface supports annotation in every language and most types of annotation including spans, classes and relationships.

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Bring your own models (BYOM)

Use LightTag’s API to import your own models predictions. Use those to help your annotators work faster, or monitor your production models for concept drift and errors.

Start Labeling(Opens in a new window)


Customer Testimonials

  • Harvard Law School
  • Numerator
  • Alliance Trucking



Sample Link(Opens in a new window)