Creators and independent publishers often operate by guesswork: they don’t know if their content will work until it’s already out. Marketers face the same dilemma.
The startup Presaige claims to have a solution for this: an AI platform that predicts image and video performance before publishing. The
product is set to be launched at CES 2026 in Las Vegas next week.
How does this work? Presaige says it scores images and videos on a 1–10 scale, analyzing thousands
of technical and underlying patterns within an image or video. This capability is powered by a machine learning engine.
The platform-agnostic tool fits into existing
workflows, the company says. Users can evaluate their content through a web interface, mobile app, or API-based integrations and a plugin for Photoshop.
This beats
traditional testing methods such as focus groups or endless rounds of subjective team haggling, the company argues. In addition, it facilitates fast A/B comparisons and creative decision-making across
social, digital advertising, broadcast, and owned media channels, it adds.
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“There are measurable patterns inside visual content that consistently correlate with
engagement, even if humans can’t articulate them,” said Mark Littman, CEO and co-founder of Presaige.
The Presaige model is “designed to surface those signals quickly
and objectively, so creative decisions can be based on data rather than opinion,” Littman adds.