Find the moment,
not the metadata.
An AI clip search engine that understands context, humour, visual situations, internet culture, reactions, and vibes—so teams can find the exact moments they need across massive video catalogues in milliseconds.
A huge library still feels useless when the
right clip is buried.
You may have over 250,000 clips. On paper, that sounds like a goldmine. But when a creator searches "baby" and gets 20,000 results, that is not discovery. That is just another pile to dig through.
A creator starts with an idea, not a category.
They are not thinking like a database.
That is the real language of content creation.
"I want a wholesome clip that becomes funny with the right caption."
"I need ten reactions that feel like regret."
"I want pets acting suspicious."
"I need moments where people realize something too late."
This is not another tag layer.
Traditional tags are useful, but they are too flat for creative search.
Our system indexes clips by the actual moments inside them: what is happening, how people react, what the scene feels like, why the moment may be useful, and how it could be used in content.
File: IMG_3847.mp4
Tags: babydoghomefunny
- Baby turns toward barking dog
- Baby pauses, looks confused, then laughs
- Dog looks away after knocking toy
- Moment feels wholesome and funny
How It Works.
Data pipeline visualization is optimized for larger screens. The deep ingestion core operates seamlessly regardless of display size.
We pipe directly into your AWS buckets, GCS, or physical servers. No manual uploading required. The ingestion is massive and instantaneous.
Our neural nets strip the video apart. Visual action, facial tension, audio spikes, and transcribed context are parsed independently.
Instead of assigning fixed tags, the AI places the clip into a multi-dimensional semantic space based on its complex situational meaning.
Retrieval.
Query the database as if you were talking to an editor who memorized all 10,000 hours of your footage. Instant, sub-second latency.
Search beyond metadata.
Context
Find what is actually happening, not just what object appears. Understand semantic descriptions instantly.
Reactions
Search facial expressions, body language, pauses, surprise, confusion, excitement, awkwardness.
Humour
Find moments that work because of comedic timing, contrast, awkwardness, failure, or unexpected behaviour.
Visual situations
Search for scenes with a specific setup or visual story. Track objects and movements.
Internet culture
Find clips that fit meme formats, reaction edits, trend pages, ranking videos, and caption-based humour.
Emotional tone
Search by how a clip feels: wholesome, chaotic, tense, embarrassing, satisfying, proud, weird, calm, sad-funny.
What creative teams can make when the right moments are easy to find.
Built for everyone
who needs your content.
Your team, your creators, your distribution partners — all searching your catalogue like it reads their minds. Login once. Search forever.
Your catalog is not the problem.
Finding the right moment inside it is.
Let's fix that.