AI features redefining how production workflows run smarter & faster

At our latest product release webinar, we shared how top creative and post teams use Globaledit AI Facial Recognition V2 to manage massive asset libraries at production speed and scale. Watch a live demo, then get a walkthrough from Ryan Earles, Head of Production & Netflix ANZ Account Director at Bursty, of his team’s post-production workflow.

What we covered:

• Live demo: How brands manage ambassador, influencer, & talent content at scale
• Customer story: How major streaming studios use AI Facial Recognition to manage and distribute massive asset libraries to their APAC marketing team

Meet AI Face Recognition V2

For creative, marketing, and PR teams managing large content libraries, finding the right asset has always been a pain point. Globaledit’s AI Face Recognition feature turns your asset library into a searchable, actionable database.

How it Works

1. First, teams train Globaledit’s AI model on relevant talent — models, influencers, athletes, VIPs — with a single image upload. From that point on, the system recognizes those faces automatically.
2. When new content is uploaded, Globaledit scans every image, detects faces, and applies tags instantly. Rather than manually labeling hundreds of files from a shoot or event, you’ll start with an accurate baseline from the moment assets land in the library.
3. A built-in QA workflow gives you full control. Anything below the set confidence threshold is flagged for manual review. All tags can be viewed and managed in one place via our new face tagging panel.

Turning Faces into Structured Data

Face data can be written to metadata and made portable across platforms to provide context to teams outside of Globaledit or to power integrated workflows. Teams can also search and filter by face tags across the entire library to build hyper-curated collections for sharing, approval, and management. Think: producers building talent approval galleries in seconds, marketers pulling every approved ambassador asset into a self-updating collection, or rights managers bulk-applying contract expiration dates to every image of a specific person. Learn more about AI Facial Recognition V2 here.

Customer Story:

Ryan Earles, Head of Production and Netflix ANZ Account Director at Bursty, joined us to share how his team used Globaledit to manage 55,000 assets from Heartbreak High Season 3. Watch the full conversation to see his team’s setup on Globaledit, including:

• Training Globaledit’s AI model to automate tagging
• Building a three-tier Smart Collections system to curate content for marketing and PR
• Replicating the workflow for future events and activations.

Ryan Earles

Head of Production + Netflix ANZ Account Director, Bursty

“The impact that AI facial recognition had on speeding up our workflow is a game-changer.”

To learn more about anything we covered today, reach out to your account manager or book a demo here.