A huge, fast-growing video archive was effectively unsearchable — you could match a title, but not find where a topic was actually said on screen. We built the AI engine that makes every spoken word findable across the whole library, and we run it.
External client, cleared for naming. Technical-infrastructure work; the search system below is one we build and run.
A years-deep media archive of long-form episodes — a busy, fast-growing platform, adding new content every week — with no way to search inside it. You could match a title, but you couldn't find the moment a subject was actually discussed somewhere across the library. The knowledge was all there and none of it was findable by what was said.
We built an AI pipeline that understands the video — transcribes it, tags it, and makes every spoken word searchable — then serves semantic and exact-match search over it in one query.
Book a strategy call. We'll map what's trapped in your content — and what it would take to make every word of it findable.
Book a strategy call