Artificial Intelligence
Dadetective Launches AI Platform To Unlock The Full Potential Of Large Media Libraries
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daDetective is a new breed of DAM, a Digital Asset Search Engine (DASE) that enable teams to instantly find and their media without relying on manual metadata
daDetective is a Digital Asset Search Engine (DASE) built for fast, intuitive discovery using natural language. It works standalone or integrates with existing Digital Asset Management (DAM) systems.
“We’re solving a problem every content-driven organization has—finding what they already own,” said Steve Rakoczy, Chief Customer Officer.
“Most media has limited metadata. Our proprietary, patent-pending, AI-Engine automatically captures hundreds of details, enabling users to find exactly what they’re looking for just by describing it—no special terms or training required. We locate exact moments within videos, and if an image isn’t right, our AI editing tools make it exactly what you need.”
daDetective is onboarding customers across marketing, media, higher education and other content-driven organizations looking to unlock the full value of their media libraries and eliminate time wasted searching for content.
Steve Rakoczy
daDetective
+1 866-726-4664
email us here
Visit us on social media:
LinkedIn
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Frequently Asked Questions
What is daDetective?
daDetective is an AI-powered Digital Asset Search Engine (DASE) that allows organizations to instantly find and utilize any asset in their media library by simply describing it, without needing manual metadata.
How does daDetective eliminate the need for metadata?
daDetective uses a proprietary, patent-pending AI-Engine that automatically captures hundreds of details from media assets. This enables users to find content using natural language descriptions, bypassing traditional metadata requirements.
Which organizations can benefit from daDetective?
Content-driven organizations across various sectors, including marketing, media, and higher education, can benefit from daDetective by unlocking the full value of their media libraries and reducing time spent searching for assets.
First published on Mon, Apr 6, 2026
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