In a digital world ruled by visuals, Cloudinary wants to make sure brands aren’t drowning in their own content. The image and video management platform today rolled out new AI-powered upgrades to its Cloudinary Assets digital asset management (DAM) system — headlined by People Search, an AI-driven feature that identifies individuals across massive content libraries, and enhanced analytics dashboards that help teams monitor usage and performance at a glance.

The goal? To make organizing, governing, and optimizing digital media as intuitive as creating it.

AI That Knows Who’s Who

With People Search, Cloudinary can automatically detect and tag people in photos, creating “named groupings” — say, for brand ambassadors, employees, or campaign talent. Every time a new image featuring that person is uploaded, it’s automatically added to the right collection. The result: no more manual sorting or endless file digging.

That’s particularly useful for brands managing sprawling visual libraries across global teams, where content often spans thousands of assets and dozens of contributors.

Smarter Insights, Faster Decisions

Cloudinary also introduced a new analytics suite that gives marketing and creative teams a clear view of how their visual content is performing — and how the DAM itself is being used. These dashboards surface metrics around content usage, team activity, and asset performance, enabling better governance and strategic planning.

“Delivering engaging visual experiences at scale is no longer optional — it’s expected,” said Rob Daynes, Managing Director of Cloudinary Assets. “These enhancements help teams move faster, stay compliant, and get more ROI from their creative work.”

The Bigger Picture: AI in DAM

Cloudinary isn’t the only player betting on AI to tame content sprawl. Rivals like Adobe, Bynder, and Aprimo have also infused AI into their DAM platforms to improve asset tagging, search, and compliance. But Cloudinary’s differentiator lies in its AI Vision, a built-in system leveraging large language models (LLMs) and specialized computer vision algorithms that can interpret prompts like “Does this image contain a person?” or “Is the model facing left?”

This lets users automate classification and tagging without custom AI training — a major efficiency boost for organizations juggling tens of thousands of images and videos.

Guardrails for the AI Age

As AI-generated and user-submitted visuals proliferate, Cloudinary’s content credentialing capabilities — compliant with C2PA standards — aim to ensure authenticity and trust in digital assets. AI-driven moderation adds another layer of brand safety by automatically flagging or filtering inappropriate or off-brand content.

What’s Next

Attendees at DAM New York 2025 can catch Cloudinary at booth #14 or during the session “Exploring Video in DAM” on October 14, featuring experts from Blackstone, MLSE, and ICP.

For current users, the new AI features and analytics tools are live today. And for anyone curious about the ROI of automation, Cloudinary even offers an AI Value Calculator to estimate savings.

Cloudinary’s latest move reinforces its push to keep enterprises’ visual content organized, intelligent, and future-proof — one pixel, one prompt at a time.

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