The Autonomous Creative Era

The last decade of advertising automated distribution, targeting, and bidding — but creative remained fundamentally manual.

That bottleneck is now breaking the internet economy.

Modern advertising platforms increasingly reward creative velocity, personalization, and rapid experimentation. Yet most companies still rely on slow, fragmented, human-driven creative workflows that cannot scale to the demands of AI-native marketing.

We believe every ad, storefront, and customer touchpoint will eventually become dynamically generated and continuously optimized in real time.

Creatify is building the autonomous creative optimization layer for the internet economy — an AI system that generates, tests, personalizes, and optimizes performance creative at massive scale.

In the future, marketers won’t manually produce campaigns. They’ll define goals, audiences, constraints, and brand identity — and Creatify will continuously generate the highest-performing creative for every channel, audience, and context automatically.

Founders

Yinan Na

Yinan Na

Co-founder & CEO

Product and engineering leader with over a decade of experience at Snap and Meta. At Snap, built the company’s AI-driven content moderation and understanding system. At Meta, served as a core member of the Feed Ads team, pioneering its first video ads model. Stanford CS alumnus passionate about building transformative AI products.

Ledell Wu

Ledell Wu

Co-founder & Chief Research Scientist

Distinguished AI researcher with 10+ years of experience advancing foundational machine learning research. Formerly at Facebook AI Research (FAIR), where she led influential projects such as PyTorch-BigGraph and StarSpace with broad industry-wide impact. Recipient of the ICML 2023 Test-of-Time Award for pioneering contributions to AI research.

Xin Zhou

Xin Zhou

Co-founder & CTO

Engineering leader specializing in AI infrastructure and recommendation systems. Previously Engineering Manager for Reels Recommendation at Meta, where he scaled large-scale machine learning systems powering billions of daily recommendations.

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