Build Machine Learning Models Faster.

Our platform lets data scientists annotate training data quickly, efficiently and at scale.
Web-based annotation tools for videos, images, and text.

Get Started

Self-annotate your data.

  • Your data is hosted by you.
  • Use your own annotators.
  • Use our state-of-the-art video annotation tools.

Annotate with our annotation partners.

  • Our experienced partners will annotate your data.
  • Use our state-of-the-art video annotation tools.
  • Monitor and QA the process on our platform.

Become an Annotation Partner.

  • You are an annotation service provider.
  • Use our state-of-the-art video annotation tools.

Annotation Tools that Work Directly on Videos



  • Enterprise-level roles for annotators/QA/managers.
  • Json-defined configurations.
  • Unlimited classes.
  • Unlimited, hierarchical, temporal attributes.
  • Attributes can be updated on each frame.


  • Browser-based.
  • No need to install software.
  • Annotate images and videos in the same platform using the same tools.
  • Your storage - no need to upload your data to our platform.
  • Annotate with your in-house experts, your remote workforce, or our experienced annotation partners.

Security & Privacy

  • You host your data, no need to upload your data to our platform.
  • HIPAA & GDPR compliance: PII data stays on your premises.
  • You control access to your data.
  • On-prem version available.

Why Video Annotation?

  • Annotate directly on videos, even while they are playing.
  • No need to extract and manage thousands of frames. It is always simpler to deal with a single video file than with thousands of image files.
  • Tracking with consistent IDs. Annotating videos makes tracking of detected objects for the duration of the video simpler, including when objects move in and out of frame, or when their order changes.
  • Annotating temporal features is much easier on videos. A car can be signaling for a turn, or a person sitting down or standing up - these are trivial to notice and annotate on videos.
  • Better annotation quality. Annotating on video can naturally follow the camera or an object's movement using interpolation, while annotating on disparate images results in flickering and jumps in between frames.
  • Cost and error reduction. More training data, at a fraction of the annotation time and cost.
  • Better trained models. More training data yields better trained models.
  • Automated tracking. Use object tracking algorithms to better annotate moving objects.
  • Native format. You capture video data, so it is the natural choice to annotate and train video data, rather than a small sample of disparate images.
  • Discover even more benefits here.

Contact Us