At IBC2026, Banijay Rights’ Head of Content Operations Richard Clarke shared what it actually takes to turn a decades-deep, 200,000-hour IP library into an always-on engine for audience growth and revenue.

Banijay Entertainment, the world's largest independent producer, holds more than 200,000 hours of scripted and unscripted content. With today’s viewers increasingly discovering shows and films through social media, scaling content for these platforms is now essential for audience and revenue growth.

A model tuned to your unique catalog and shows

Banijay's content operations team needed a tool that understood what was inside its vast and valuable library deeply enough to act on it. This is the problem that Moments Lab's latest model, MXT-3, is built to solve. Rather than applying generic video intelligence, MXT-3 identifies and describes content the way an editor would: character by character, storyline by storyline, tuned to a specific show. Indexing at this level means teams can search for and surface key moments in plain language instead of losing precious time manually scrubbing through footage for exact scenes.

Rather than waiting to perfect the tech first, Banijay chose to run two workflows in parallel from day one: deploying the necessary infrastructure, and activating video intelligence to make content in its catalog findable as soon as possible. This enabled a fast rollout to its Moments Lab platform users.

From moment to published clip

Comprehensively indexing content only gets you halfway there. Moving from "we know this specific moment exists" to "it's live on social" is the other half, and it's what Studio was built for. Studio takes what MXT-3 finds and turns it directly into a finished, publishable clip — cutting out the download-edit-reupload cycle that eats so much of a digital team's week.

Banijay’s Brazil team became early adopters and the results speak for themselves; clip production rose 50% (soon to hit 80%) to 40 clips per week. Flagship show MasterChef Brazil gained 97,000 new followers in just two months.

With roughly twice the capacity it had before, Banijay Brazil now spends more time on the work that doesn’t scale on its own; shaping a social clip’s narrative instead of hunting for footage. Next, the team wants to double its YouTube output to grow monetization.

What indexing unlocks beyond the brief

Once MXT-3 indexed the catalog, Banijay users started finding additional use cases. For example, content moderation was previously a very slow and manual process. Now with Moments Lab’s editorial intelligence, it runs largely on its own. So does identifying ideal scenes for product placements, and broader organization-wide content sharing and analysis. 

The bigger picture

A catalog that's findable stops being a dormant archive and starts being an active source from which you can create new formats, grow fandoms, garner sponsorship interest and new revenue opportunities. Banijay's approach is repeatable: start with one show, perfect the workflow, then deploy wider.

Book a Moments Lab demo to see how MXT-3 and Studio in action on your own catalog.

FAQ

What is MXT-3?

MXT-3 is Moments Lab's AI model for describing and indexing video content. It applies editorial intelligence tuned to a show's own characters, storylines and voice, indexing footage down to the scene so teams can search it without manually scrubbing.

What does Moments Lab's Studio do?

Studio turns MXT-3-indexed footage into finished, publishable clips for social — extracting and preparing content directly from the index, without a separate download-edit-reupload step.

How much did Banijay's clip production improve with Moments Lab?

Banijay saw clip production nearly double after adopting MXT-3 and Studio, freeing up roughly twice the team's capacity for content creation and repurposing.

What other use cases has indexing with MXT-3 unlocked for Banijay?

Once Banijay's catalog was indexed with MXT-3, its team identified two additional use cases outside the original project scope: flagging content requiring elements removed or censored to meet certain broadcast standards, and identifying product placement opportunities within content.