Legacy DAMs (Digital Asset Management platforms) slow teams with folders, manual tagging, and static workflows. We're building a platform where meaning replaces metadata, automation handles repetition, and AI works alongside humans. With semantic search, automated workflows, built-in collaboration, and adaptive intelligence, every asset becomes instantly usable. Video is no longer just stored, it's searchable, reusable, and production-ready at scale.
Most DAMs and video platforms were never built for the realities of today. They come from a world of folders, manual tagging, and clunky desktop workflows, where video editors spent hours managing files instead of creating. They belong to an era of hard drives and static files, not an AI-first, cloud-native, video-driven ecosystem.
Video now is dynamic, collaborative, and always in motion. Unlocking its value requires more than a storage system. It requires a new foundation: one where meaning replaces metadata, automation replaces repetition, and humans and AI work together on the same canvas.
WIKIO AI is built on this new foundation.
At its core are the primitives of AI-native media software, applied directly to video:
This isn't an upgrade to legacy DAM.
It's a new operating system for video: where every asset is searchable, reusable, and production teams create faster with AI as a natural part of the process.