Brands adopting AI brand ambassadors and virtual agents are one uncanny-valley moment away from public backlash. We score the frame-by-frame realism that keeps that from happening.
Annotating realism and consistency for synthetic media — before it reaches an audience.
As brands roll out AI avatars, virtual spokespeople, and synthetic ad talent, the models behind them need training data that flags exactly where they fall into the uncanny valley — a subjective judgment call no automated detector fully replaces.
We review generated video frame by frame and label the specific artifacts and inconsistencies that make synthetic media feel "off," giving the teams building or fine-tuning these models the labeled examples they need to fix it.
Brands know the reputational cost of a synthetic ambassador going viral for the wrong reasons. They pay well for a team that can meticulously catch the errors before launch — and this is squarely brand-judgment work, not a technical computer-vision task.