Partnerships
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Partnerships
TwelveLabs x AWS Amazon Bedrock


Danny Nicolopolous
Danny Nicolopolous
Danny Nicolopolous
TwelveLabs powerful video understanding models are now in Amazon Bedrock.
TwelveLabs powerful video understanding models are now in Amazon Bedrock.


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Jul 16, 2025
Jul 16, 2025
Jul 16, 2025
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We’re thrilled to announce TwelveLabs’ industry-leading video understanding models, Marengo 2.7 and Pegasus 1.2, are available as managed services in AWS Amazon Bedrock.
TwelveLabs has a mission to unlock the 80% of global data hidden within video data and make it accessible, searchable, and actionable for organizations everywhere. By deepening our relationship with the AWS team and deploying TwelveLabs on Amazon Bedrock, we're bringing frictionless scale, security, and reliability to video intelligence, empowering teams of all sizes with incredibly power tools to do more with their video.
What This Means for You
Instant Global Deployment: Deploy Marengo and Pegasus models directly from AWS with ease.
True Multimodal Intelligence: Move beyond traditional metadata. Our models understand and index actions, objects, sounds, and narrative context—across visuals, audio, and text.
Natural Language Video Search: Find the exact moments you need using plain language, not just tags or timestamps.
Data Privacy & Trust: Built on AWS, your data remains private and secure, with compliance and redundancy for enterprise needs.
From sports leagues pinpointing player celebrations, to public safety agencies rapidly reviewing incident footage, to media producers creating highlight reels in minutes—this collaboration is unlocking a wealth of possibilities. Whole new value streams are born when you finally “see” inside your entire video library.
Getting Started
To get started on TwelveLabs and Bedrock, go to the Amazon Bedrock console and choose Model access in the bottom left navigation pane. To access the latest TwelveLabs models, request access for Marengo Embed 2.7 or Pegasus 1.2 in TwelveLabs by available Regions.

We’re excited to see the incredible products and platforms our users will build with this integration.
Questions? Don’t hesitate to reach out to us at sales@twelvelabs.io
We’re thrilled to announce TwelveLabs’ industry-leading video understanding models, Marengo 2.7 and Pegasus 1.2, are available as managed services in AWS Amazon Bedrock.
TwelveLabs has a mission to unlock the 80% of global data hidden within video data and make it accessible, searchable, and actionable for organizations everywhere. By deepening our relationship with the AWS team and deploying TwelveLabs on Amazon Bedrock, we're bringing frictionless scale, security, and reliability to video intelligence, empowering teams of all sizes with incredibly power tools to do more with their video.
What This Means for You
Instant Global Deployment: Deploy Marengo and Pegasus models directly from AWS with ease.
True Multimodal Intelligence: Move beyond traditional metadata. Our models understand and index actions, objects, sounds, and narrative context—across visuals, audio, and text.
Natural Language Video Search: Find the exact moments you need using plain language, not just tags or timestamps.
Data Privacy & Trust: Built on AWS, your data remains private and secure, with compliance and redundancy for enterprise needs.
From sports leagues pinpointing player celebrations, to public safety agencies rapidly reviewing incident footage, to media producers creating highlight reels in minutes—this collaboration is unlocking a wealth of possibilities. Whole new value streams are born when you finally “see” inside your entire video library.
Getting Started
To get started on TwelveLabs and Bedrock, go to the Amazon Bedrock console and choose Model access in the bottom left navigation pane. To access the latest TwelveLabs models, request access for Marengo Embed 2.7 or Pegasus 1.2 in TwelveLabs by available Regions.

We’re excited to see the incredible products and platforms our users will build with this integration.
Questions? Don’t hesitate to reach out to us at sales@twelvelabs.io
We’re thrilled to announce TwelveLabs’ industry-leading video understanding models, Marengo 2.7 and Pegasus 1.2, are available as managed services in AWS Amazon Bedrock.
TwelveLabs has a mission to unlock the 80% of global data hidden within video data and make it accessible, searchable, and actionable for organizations everywhere. By deepening our relationship with the AWS team and deploying TwelveLabs on Amazon Bedrock, we're bringing frictionless scale, security, and reliability to video intelligence, empowering teams of all sizes with incredibly power tools to do more with their video.
What This Means for You
Instant Global Deployment: Deploy Marengo and Pegasus models directly from AWS with ease.
True Multimodal Intelligence: Move beyond traditional metadata. Our models understand and index actions, objects, sounds, and narrative context—across visuals, audio, and text.
Natural Language Video Search: Find the exact moments you need using plain language, not just tags or timestamps.
Data Privacy & Trust: Built on AWS, your data remains private and secure, with compliance and redundancy for enterprise needs.
From sports leagues pinpointing player celebrations, to public safety agencies rapidly reviewing incident footage, to media producers creating highlight reels in minutes—this collaboration is unlocking a wealth of possibilities. Whole new value streams are born when you finally “see” inside your entire video library.
Getting Started
To get started on TwelveLabs and Bedrock, go to the Amazon Bedrock console and choose Model access in the bottom left navigation pane. To access the latest TwelveLabs models, request access for Marengo Embed 2.7 or Pegasus 1.2 in TwelveLabs by available Regions.

We’re excited to see the incredible products and platforms our users will build with this integration.
Questions? Don’t hesitate to reach out to us at sales@twelvelabs.io
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© 2021
-
2025
TwelveLabs, Inc. All Rights Reserved
© 2021
-
2025
TwelveLabs, Inc. All Rights Reserved
© 2021
-
2025
TwelveLabs, Inc. All Rights Reserved