Unlock instant content discoverability with Moments Lab and qibb

Finding the right clip shouldn’t feel like finding a needle in a haystack.
At IBC2025, qibb and Moments Lab are teaming up to show how AI-powered metadata enrichment and seamless MAM workflow integration can make every media asset instantly discoverable and ready to work harder for you.
‍

Moments Lab’s multimodal video understanding AI analyses your content to deliver rich metadata, including scene descriptions, people and object recognition, and transcripts. qibb’s low-code integration and workflow orchestration platform ensures this metadata is automatically mapped back into any MAM from Mimir and GV AMPP to Iconik, Avid, Dalet, and EVS fully aligned to your existing metadata model, without manual re-entry or workflow disruption.

‍

The result? A unified, automated process that turns your archive into a searchable, monetizable resource and a foundation for more advanced, AI-driven workflows.

How the workflow works

It starts in the place your teams already know best, your MAM. Whether you’re working in Mimir, GV AMPP, Iconik, Avid, Dalet, or EVS, you simply select the assets you want to enrich. That could mean an entire back catalogue, a daily batch of new footage, or a set of clips for a specific project.

‍

From there, qibb orchestrates the workflow — sending your chosen assets to Moments Lab for AI analysis. Together, the platforms apply advanced video understanding to every frame, generating scene descriptions, recognising people and objects, and creating accurate transcripts. This step transforms raw footage into richly described, searchable media.

‍

qibb then brings it all together, automatically mapping the enriched metadata back into your MAM’s existing model by following your structure, taxonomies, and naming conventions. It’s a completely automated loop, running in the background so your teams can keep working without interruption.

‍

Why it matters

For most media teams, searching an archive can be a frustrating, time-consuming process. Even when the perfect shot exists, it can be buried under inconsistent or incomplete metadata. By combining Moments Lab’s AI capabilities with qibb’s integration and automation, that challenge disappears.

‍

Suddenly, you can locate the exact scene you need in minutes, not hours. You can repurpose and monetise content that was previously hard to find. And because the metadata is consistent and comprehensive, it becomes the foundation for other high-value workflows: automated localisation, personalised content delivery, and even fully automated production chains.

‍

Best of all, you can do this without replacing your existing systems. The qibb + Moments Lab integration works with whatever MAM you already have in place, so you’re adding capability, not complexity.

‍

See it at IBC2025

For most media teams, searching an archive can be a frustrating, time-consuming process. Even when the perfect shot exists, it can be buried under inconsistent or incomplete metadata. By combining Moments Lab’s AI capabilities with qibb’s integration and automation, that challenge disappears.

‍

Suddenly, you can locate the exact scene you need in minutes, not hours. You can repurpose and monetise content that was previously hard to find. And because the metadata is consistent and comprehensive, it becomes the foundation for other high-value workflows: automated localisation, personalised content delivery, and even fully automated production chains.

‍

Best of all, you can do this without replacing your existing systems. The qibb + Moments Lab integration works with whatever MAM you already have in place, so you’re adding capability, not complexity.