# How TwelveLabs uses AWS Bedrock

As published on [aws.amazon.com](https://aws.amazon.com/es/solutions/case-studies/twelvelabs-case-study/). Captured by usedby on 2026-10-03.

- Company: [TwelveLabs](https://www.usedby.ai/companies/twelvelabs.md)
- Tool: [AWS Bedrock](https://www.usedby.ai/tools/aws-bedrock.md)

## What the story says

TwelveLabs builds multimodal video AI models (Marengo for video search and Pegasus for video analysis) and makes them available to developers through Amazon Bedrock. It also runs its own training, inference and customer-facing services on AWS infrastructure.

Summary written by usedby from the source page, in English. The figures are those of AWS Bedrock and TwelveLabs, not ours.

> With TwelveLabs models now available in Amazon Bedrock, developers can build sophisticated video AI applications while maintaining complete control over their data.

> AWS's infrastructure gave us the foundation to focus on what matters: structuring how our models process temporal sequences and multimodal context. We've built video AI that reasons like humans do: understanding not just what happens, but why it matters and how moments connect across time.
>
> Jae Lee, CEO and co-founder of TwelveLabs

## What usedby checked

We compared the story with its live page on 2026-10-03.

- Checked: the passage quoted above is copied word for word from the page, near the name of TwelveLabs.
- Checked: TwelveLabs uses AWS Bedrock. Confirmed line. Latest check across sources: 2026-10-03.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/twelvelabs-aws-bedrock · How we check: https://www.usedby.ai/methodology