TwelveLabs & TrackIt - AI Video Search for MAMs & Content Libraries
TrackIt · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
TrackIt and TwelveLabs have teamed up to fix the biggest headache in video production: finding that one specific shot. By integrating TwelveLabs’ video understanding model available on Amazon Bedrock, we make your video library searchable by what is actually happening in the scene, no manual metadata entry required. This works directly with many Media Asset Management (MAM) systems and AWS-based storage like Amazon S3.
Our solution is built for teams who need to move fast. Instead of relying on basic tags, you can search for concepts, emotions, or specific actions within your video archive. Because it is built on Amazon Bedrock, the AI is secure, scalable, and runs entirely within your AWS environment. TrackIt handles the heavy lifting of implementation, ensuring the tool fits right into your current workflow or custom application.
Show the rest of the publisher’s description (1 more line)
From creating quick social clips to organizing decades of archive footage, this setup simplifies how you interact with video. We help you move from a proof-of-concept to a full-scale production environment on AWS, making sure your MAM is actually useful rather than just a place where video goes to be forgotten.
Highlights
Highlighted by the publisher on AWS Marketplace.
Search Videos with Plain Language: Skip the manual tagging. Use natural language to find specific moments, objects, or themes across your entire MAM or video library instantly.
Secure Integration with Amazon Bedrock: Keep your data in your own environment. This solution uses Amazon Bedrock to run advanced models without your video content ever leaving your AWS account.
Automated Metadata for Your MAM: Speed up the editing process. Automatically generate detailed logs and descriptions for your footage so editors can spend more time cutting and less time searching.
Agent build and provenance
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Sources
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