Talent Recognition

The Challenge: Managing talent-related data is a time-intensive, manual process that often fails to give studio managers the context they need to make effective, informed decisions.

The Solution: An automated index of content from every step of production, providing detailed analytics on the who, what, when, and where of the talent you use in order to better understand the why.

Using machine learning, we can now index all of your images, matching them with the talent in the shots and even advanced details such as facial expressions, ethnicity, direction of gaze, and much more.

We look at every asset from the time of shoot to delivery, to let you search and collect data and assets in a whole new way. We are only beginning to see the plethora of use cases for this tool but to get you started, here are some ideas:

Finding what you need

Search using new criteria, like finding all the photos with model X in them. Then quickly narrow down to specific types of photos, such as only ones where the model is looking into the camera, and so on.

Advanced analytics

How diversified is your portfolio of the talent you use? What message are you conveying to the audience with facial expressions and gaze? What talent are you using the most? With what talent are you seeing the most QC rejections or approvals? There’s even more data to dive into.

Managing rights and contracts

Are you not sure if you are still using photos of a model you no longer have the right to use? Or do you want to see what you can renew? Being able to find exactly where you are using what models, makes this much easier, and lets you organize with a clearer overview and peace of mind.

Being helpful to talent and agencies

Talent and agencies often want to get the final images for their portfolios. But it’s a hassle, and requires going back and finding whatever came out of that shoot… OR… search by talent, and send the whole thing back to them… job done.

Project stage

In Development