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Find the Moments that Matter

Search, Tag, Structure

Dataset Explorer indexes your entire video corpus, makes it searchable in plain language, and allows you to structure it with tags & collections

How it Works

Deploy

Hosted by us, or deployed inside your network where footage never leaves

Index

The entire corpus is indexed, not a sample. Video and audio, one index

Retrieve

The index nominates candidates, a vision language model watches and ranks

Share

Your team's internal environment, or a scoped view for outside evaluation

Built for Production

Works with S3, GCS, Azure, and on-prem

New footage is indexed incrementally

Built for centi-million-minute video libraries

Indexing and search run entirely server side

Capabilities

Feature Overview

Natural Language Search

  • Ask for what you need in a sentence. "Hands manipulating a door handle in low light" returns matches
  • Results land at the clip and frame level with timecode, so you can verify what matched before exporting

Save Collections

  • Turn any result set into a named collection you can review, refine, and share across the team
  • Check coverage and quality across the set, then export a licensable package with a manifest

Dynamic Tagging

  • Save a query as a standing dataset definition rather than a one-time list of results
  • New footage entering the corpus is matched against saved definitions, so collections stay current

Text in the Wild

  • Text that appears in the frame is read and indexed, from signage and labels to packaging and on-screen displays
  • Search a word like "Cavendish" and results return timestamped to the frames where it appears

Used by the World's Greatest VFX Shops

One Environment, Two Ways to Use It

Internal Environment

Give your team a single place to search, filter, tag, and organize video data whether it sits in cloud storage or on-prem

Collaboration Environment

Invite customers, partners, or reviewers into a scoped view of the corpus so they can run their own queries without receiving the footage

Find the moments that matter

Index your archive, search it in plain language