As marketers and creators face mounting pressure to publish content that performs across crowded digital channels, the ability to predict results before launch is becoming a strategic advantage. Presaige™, a new AI-powered platform debuting at CES 2026, aims to redefine AI content performance prediction by helping creators, influencers, and brands determine how images and videos are likely to perform before they are published.
Presaige addresses a long standing challenge in content marketing and advertising: performance insights typically arrive after content is already live, when changes are costly or ineffective. Instead of relying on intuition, subjective feedback, or time consuming focus groups, the platform predicts engagement outcomes in advance. Visual assets are scored on a one to ten scale that reflects their likelihood of driving engagement, giving teams a clearer signal of readiness before deployment.
At the core of Presaige is a patent pending machine learning engine that analyzes thousands of technical and underlying visual patterns within images and videos. These patterns, often invisible to human reviewers, are correlated with real world engagement outcomes. By translating those signals into actionable recommendations, Presaige enables faster and more confident creative decisions while also indicating when content is already optimized and ready to publish.
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Unlike traditional testing approaches that can take days and cost thousands of dollars per asset, Presaige delivers scores in seconds and recommendations in minutes. By removing human bias from early evaluation, the platform offers a faster and more affordable alternative for marketing and advertising teams managing high content volumes and tight timelines. This shift reflects a broader move toward AI content performance prediction as a planning tool rather than a post campaign analytics function.
Presaige is designed to support human creativity rather than replace it, positioning AI as a decision support layer within modern workflows. “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. “Our model is designed to surface those signals quickly and objectively, so creative decisions can be based on data rather than opinion.”
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The platform is built to integrate seamlessly into existing workflows and is platform agnostic. Users can evaluate assets through a web interface, a mobile app, or API based integrations, including a plugin for Photoshop. This flexibility enables rapid A B comparisons and real time decision making across social media, digital advertising, broadcast, and owned channels.
Presaige is designed for a wide range of users, from individual creators refining social posts to enterprise brands and agencies managing large scale campaigns. “Teams are still forced to make decisions with limited information,” said David Gioiella, co-founder of Presaige. “We built Presaige to give creators better signals, so they can make smarter decisions without removing the human element from the production process.”
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