MediaMasterMediaMaster

Your archive just woke up.

AI-native media asset management for broadcast teams. Semantic search, GPT-4-powered workflows, and Arabic-first support—without rebuilding your stack.

87% accurate scene detection in internal tests
Semantic search in ~200ms on 10K+ hour archives

Archives are full of value that teams can't reach.

Broadcasters, studios, and post houses are sitting on tens of thousands of hours of SD and tape content. Restoring, tagging, and publishing those archives is still manual, slow, and hard to justify in a single budget cycle.

  • • Manual QC and tagging eats up 60–80% of production time.
  • • Legacy MAM systems weren't built for AI-native search or restoration.
  • • Rights and compliance make it risky to move fast without governance.

30-second overview

Short problem video explaining why broadcast archives are stuck. This embed is wired so you can drop in the real asset without changing the layout.

TODO: Replace `/media/problem-overview.*` with the final hosted video + caption track once assets are ready.

See MediaMaster in a 3‑minute workflow.

A single prompt orchestrates ingest, restoration, transcription, semantic indexing, and publishing—with cost and QC gates at every step. No custom scripting, no fragile glue.

  • • Upload or select from your archive and describe the outcome in plain language.
  • • MediaMaster builds an agent pipeline with clear costs and SLAs.
  • • Semantic search unlocks every cut-down, highlight, and moment later.
3-minute workflow demo

TODO: Replace `/media/solution-demo.*` with the final hosted demo video + caption track.

Built for archives, not just another MAM.

MediaMaster combines restoration, semantic search, rights‑aware publishing, and cost metering in a single AI‑native workflow—so you can move faster without losing broadcast‑grade rigor.

Archive restoration (SD→4K HDR)
Manual or outsourced, 4–6 weeks per batch
One-off upscales, no archive context
Basic transcode presets only
Automated pipeline across hundreds of hours with QC gates
Semantic search
Hand‑tagged metadata only, no scene-level recall
Model demos, not wired to your archive
Filename + basic metadata search
Natural‑language search across scenes, faces, and moments
Rights & compliance
Separate systems, email approvals, spreadsheets
Not handled
Per‑asset flags, no workflow enforcement
Pre‑flight checks, audit trail, and QC reports built in
Multi‑platform publishing
Per‑platform exports & custom scripts
Manual exports from each tool
Basic delivery to limited endpoints
One pipeline into YouTube + future FAST / social endpoints

Designed with broadcast & post in mind.

Use this section for real logos and quotes as pilots go live—placeholders below keep the layout ready.

10K+ hours

Per‑archive scale we're optimised for.

Sub‑200ms

Semantic search latency in internal tests.

Pilot companies (under NDA)

nav-assets

Tier‑1 News Network

Archive restoration pilot

nav-search

Global Sports Broadcaster

Highlight search & cut‑downs

Legacy tape

Regional Post House

Cataloguing legacy SD libraries

Logos and named testimonials will replace these placeholders as pilots move out of NDA.

“MediaMaster feels like the missing layer between our archives and our OTT strategy.”
— Placeholder quote, broadcast archive lead
“Semantic search on raw footage is the thing we've been hacking together for years.”
— Placeholder quote, post‑production supervisor

Choose how you'd like to get involved.

Join the waitlist, request beta access for an active archive, or open up an investor conversation with the team.

Join the waitlist

For archive, post, and platform teams who want to follow MediaMaster V2 and get early access.

Investor conversations

For funds and strategic partners who want to explore the enterprise media opportunity.

Request beta access

If you already manage a 100+ video archive and want to move fast on pilots.