ZANUS AI FOR BROADCASTING & MEDIA — ARCHIVE & FOOTAGE

Ask the archive. It plays the answer.

Footage archives, transcripts, scripts, rundowns, rights and licensing documents — loaded into curated libraries the AI reads from. Ask in plain language; get the answer with the source cited — and for footage, a timestamp that plays the exact moment.

Get started

Private tenant or your own servers · unlimited users · your archive stays yours

Media archive libraries with priority order

Libraries: aired versions outrank rough cuts, current rights terms outrank expired ones — you set the order.

What it does

Any format, including decades of media

Video, audio, scripts, scanned rights contracts and production paperwork — the ingestion pipeline turns what the station actually holds into queryable knowledge.

Answers with the source

No source in your library, no claim: the AI cites the clip, the transcript, the contract — or says it cannot answer. Built for work that gets fact-checked.

Permission-shaped answers

The intern researching a story and the business manager checking a licensing term each get answers scoped to their role, enforced server-side.

Twenty years of footage, one question away

“What did the coach say after the 2014 championship?” “Which stories mentioned the refinery?” “What are the terms on the stock-footage license?” The archive answers in seconds, with clips at the exact second and documents attached — instead of an afternoon in the tape library.

Plain-language questions across the archive
Click-to-play timestamps on every footage result
Priority order: aired versions and current contracts rule

Precision vector store answering from the media archive

Media software is priced by storage tier and edit seat, and archive search still means metadata fields someone typed in 2009 — while the producer needs the exact quote before the 6 PM rundown locks. Zanus AI: the content itself transcribed and searchable to the second, click-to-play timestamps from every search result, unlimited users — and the archive stays in YOUR tenant, training nobody else’s model.

Questions, answered

How does old footage get in?

Through the ingestion pipeline: digitized media is transcribed and indexed on intake. High-volume backfiles are exactly what the On-Prem Tokens Server is built for — ask about it at the demo.

Does our archive train outside models?

Never. Your tenant is isolated; your footage and scripts are yours alone — and the on-premises option keeps the archive physically inside your building.

Ask the archive. It plays the answer.

What it does

Twenty years of footage, one question away

Questions, answered

See it working on YOUR station — the demo IS the product.