See how learning happens.
MASS turns hours of observational video into structured, shareable insight. An AI agent guides your analysis, a collaborative labeler captures what's happening on screen, and the participation map makes patterns visible at a glance.
Built for education researchers. Ready for any video-based activity analysis.
From raw footage to research insight
Three steps, with an AI agent helping at every one of them.
Upload & organize
Bring in classroom recordings, lab sessions, or field footage. Organize them into projects and datasets, or just tell the agent what you have and let it set things up.
Annotate with AI assistance
Ask the agent to scan videos for the activities you care about, then refine its suggestions in the labeler: bounding boxes, subject tracking, and click-to-segment masks.
Visualize & share
The participation map lays every coded moment on an interactive timeline. Filter, group, and compare, then share a live view with collaborators or stakeholders via a link.
Three tools, one workflow
Atlas, your research agent
A conversational AI that guides your whole workflow. It organizes datasets, analyzes video for the activities you describe, and proposes annotations for your approval. You stay in control; it does the legwork.
The Labeler
Frame-accurate video annotation: bounding boxes with keyframe interpolation, AI click-to-segment masks, and multi-subject tracking. Whole teams can code the same video at once without stepping on each other.
The Participation Map
Every annotation becomes a segment on an interactive timeline. Group by student, by activity, or by coding pass. Save views, filter to what matters, and share read-only links with anyone.
Understand what's really happening in the classroom
Observational video is the richest data education researchers have, and the most time-consuming to analyze. MASS was designed to close that gap: code student behavior systematically, keep your team consistent, and surface the patterns that field notes miss.
- See how participation unfolds across a session: engagement, collaboration, discussion
- Code group work, teacher-student interaction, and transitions between activities
- Built-in review workflow mirrors second-coder practice: submit, request changes, approve
- AI-suggested annotations accelerate coding without removing the researcher from the loop
- Compare across sessions, classrooms, and conditions on a single visual timeline
- Share findings as interactive views, not static screenshots in a slide deck
Anywhere activity happens on video
The same workflow — annotate, track, visualize — applies to any research question you can point a camera at: usability studies, behavioral observation, sports analysis, workplace studies, and more.
See the use casesReady to see your data differently?
We're working with early research partners now. Tell us about your study and we'll show you MASS on your kind of footage.
Get in touch