Marco Island, FL – April 3, 2026 — As media libraries continue to grow, organizations are increasingly facing a common challenge: finding specific assets quickly and efficiently.

daDetective today announced the launch of its AI-powered media search platform designed to address this issue by enabling users to locate images and video through natural descriptions rather than relying on metadata.

Traditional Digital Asset Management (DAM) systems depend heavily on tags and structured fields, which are often incomplete or inconsistent. This has led to a growing need for solutions focused specifically on discovery.

daDetective applies a content-based approach, using AI to analyze media and automatically identify hundreds of attributes within each asset. This allows users to search using natural language and locate relevant content instantly. daDetective is a DASP, Digital Asset Search Platform built on a DASE, Digital Asset Search Engine.

The platform can also identify exact moments within video and includes tools to modify images as needed.

As organizations look to improve efficiency and better utilize their existing media, search-driven approaches are becoming an important complement to traditional DAM systems.

👉 Read the full announcement: https://dadetective.com/news

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daDetective Launches AI Platform to Unlock the Full Potential of Large Media Libraries