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TwelveLabs Multimodal Foundation Models

Twelve Labs · Software Development

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownSaaS
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

Twelve Labs multimodal foundation models create powerful vector embeddings that enable downstream applications. Our Marengo model understands video natively and is able to identify and interpret movements, actions, objects, individuals, sounds, on-screen text, and spoken words just like humans, enabling high-precision semantic search. Our Pegasus model is able to provide state of the art video-to-text generation enabling a variety of use cases across industries. Built by developers, for developers, our APIs give access to our state-of-the-art multimodal foundation models which enable a variety of use cases across industries, including:

  • Powerful semantic search: Find the exact moment you need within any video using natural language queries instead of tags or metadata
  • Video-to-text generation: Create deep analyses, video specific Q&A, or general highlight generation for any video content
  • Zero-shot classification: Use natural language to create your custom taxonomy, facilitating accurate and efficient video classification tailored to your unique use case
  • Intuitive integration: Embed our models for video understanding into your application in just a few API calls
  • Rapid result retrieval: Receive your results within seconds
  • Scalability: Our cloud-native distributed infrastructure seamlessly processes thousands of concurrent requests

Highlights

Highlighted by the publisher on AWS Marketplace.

Bring human-like video understanding to any application with any video data

Create rich vector embeddings from videos to power downstream tasks such as Search, Generate, and Classify

Useful across industries and use cases including media and entertainment, security, automotive, advertising, and more

Agent build and provenance

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Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment

CompanyTwelveLabsAutomated

Plans and pricing as listed

1 listed
Total services consumed
  • Units
$0.033
P12M

Refund terms

As stated by the publisher on AWS Marketplace.

Please contact support@twelvelabs.io or your Sales representative.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
CustomEulaCustomEulaSource

Publisher resources

1 link
Twelve Labs Documentationdocs.twelvelabs.ioSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
1 plan listed
Delivery
SaaS
Twelve Labs Documentation: https://docs.twelvelabs.io/docs/introduction Please reach out to support@twelvelabs.io for all your queries. Enterprise Support is available from Monday to Friday.
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