AI media indexing

Processing stays on your premises

This is the point that matters to our clients, and it’s our approach: the indexing agents run locally, on your servers, next to your storage. Your media does not pass through a cloud service. For multi-petabyte libraries, it’s the only realistic approach — in cost, in bandwidth, in rights and in confidentiality.

Local processing is also what makes compliance manageable. Some capabilities, such as identifying people, involve biometric information governed by privacy law (including Quebec’s Law 25): those choices are made with you, with the obligations understood, and the data never leaves your environment.

What we actually do

• Automatic speech transcription with timecodes and full-text search
• Visual content recognition: scenes, objects, on-screen text
• Logo and brand element detection across archives
• Integration of the indexes with your existing MAM and shared storage
• Local deployment: the compute runs on your infrastructure

Where to start: the indexing audit

We don’t start with the full library. We take a representative sample of your storage, run the agents on it, and deliver the report: what can be extracted from your archives, at what quality, and the plan — technical and budgetary — for the whole. You decide based on concrete results from your own media, not a generic demo.

Questions we get asked

“Will AI really find our footage?” On real content, the results surprise people: face recognition, locations, on-screen text, speech transcription — your archives become searchable like a search engine. We demonstrate on YOUR media before you commit to anything.

“Does our content stay on our premises?” That’s an architecture choice we make together. Some solutions run entirely on your servers; others go through the cloud with contractual guarantees. For sensitive content, on-premise processing exists and we deploy it.

“Is this a massive project or does it go in stages?” Stages, always. We start with one collection that hurts — the show you keep getting asked for, the archives people keep requesting — and expand once the value is proven.