Audio intelligencefor your archive.
Indexing, tagging and search that starts with sound – and covers video and images too.
For broadcasters, archives, and the platforms that serve them.
The audio in your archive is undervalued
- No specialised audio indexing, so semantic search never reaches the sound.
- No inventory of the music and effects: no mood, genre, tempo or instrumentation.
- No practical way to reuse, license or report on any of it.
Four steps from archive to answer
Your archive
Audio, video and images. Files, object storage, or your existing MAM.
Fingerprint and tag
A semantic fingerprint of how each asset sounds, plus tags for BPM, key, genre, mood, instruments, voice and language.
Search in words
“Warm cello, no vocals.” Or find similar from a reference track, or match music to a video.
Connect your work
Results land where your team already works.
Run it where your content is allowed to live
Managed service
We host it. Send assets or let us pull from your storage.
Your cloud
Deployed in your own AWS, Google Cloud or Azure account. Content never leaves your tenancy.
On-prem
Fully under your control. Isolated, with no outbound connectivity required.
Reachable from the systems you already use
MAM and newsroom platforms
Asset management, scheduling and live production. Tell us what you run.
AI agents
An agent in your production pipeline finds the right audio without a human in the loop.
MCP server
Your archive as a tool your AI assistants can query directly – in Claude, ChatGPT, or your own stack.
REST API
Catalog management, processing callbacks and search API.
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Thirty minutes, during IBC or after
Pick a time below and we will talk through your archive.
Oleksandr Kuprii
Architecture, deployment, on-prem and security.