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Most stock searches fail from noise, not scarcity — millions of near-identical clips competing for the same query. We take the opposite approach: our proprietary similarity model clusters visually similar footage and filters out redundant clips before they reach the catalog, so each search returns distinct options instead of a wall of look-alikes.
The result is an Essentials Library where the right clip surfaces fast and quality stays high in every category. It's the same technology we offer to clients as a clustering & redundancy filtering service for their own libraries.