Turn your entire library into searchable, intelligent content
The leading foundation for computer vision, vector search and multimodal AI, powered by the latest breakthroughs in vision and large language models.
Rich media search was broken.
Finding the perfect image, video or audio segment can feel like searching for a needle in a haystack. Traditional search never reaches inside the asset.
The file is found. The moment is not. An archivist scrubs the timeline by hand.
Needle in a haystack
Archive teams scrub timelines by hand to find one shot that a producer described in a sentence.
Describe it, get the timestamp
Type the sentence the producer said. Results land on the exact second, with the frame that matched.
Filenames are not metadata
Traditional search reaches the file, never the frame, the line of dialogue or the logo in shot.
Indexed inside the asset
Speech, on-screen text, faces, objects and logos extracted per frame — no tagging step, no data entry.
Rights risk hides in the footage
Reuse decisions depend on what is actually on screen, not on what the asset record claims.
Clear reuse from the picture
Counted, timecoded placements of every logo and face, so rights questions are answered from evidence.
Scale breaks the tooling
What works on a hundred hours collapses at petabyte scale, exactly where the value sits.
Petabytes in milliseconds
A handcrafted engine that searches 2.5PB in 15ms, so the whole archive stays as fast as one reel.
Say goodbye to endless searches and welcome a high-performance, scalable and customizable search solution built for the way media teams actually work.
Find the exact moment, not the right file
Faces, context, logos, on-screen text
State-of-the-art machine learning for content extraction, with a handcrafted search engine that outperforms industry incumbents by over ten times.
Six minutes, one archive, every question answered
See Omnisearch in action.
The search engine built for creators, innovators and visionaries. Find exactly what you need, faster than ever before.