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    TwelveLabs Multimodal Foundation Models

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    Deployed on AWS
    Twelve Labs provides the most powerful video foundation models for developers and enterprises. Bring human like video understanding via our easy to use APIs. Start building today!

    Overview

    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

    • 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

    Details

    Delivery method

    Deployed on AWS

    Features and programs

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    Financing for AWS Marketplace purchases

    Pricing

    TwelveLabs Multimodal Foundation Models

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Cost/12 months
    Total services consumed
    $0.033

    Vendor refund policy

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

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Support

    Vendor support

    Please reach out to support@twelvelabs.io  for all your queries. Enterprise Support is available from Monday to Friday.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By AnyClip
    By Moments Lab

    Accolades

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    Top
    10
    In Embedding/Feature Extraction, Content Creation, Video
    Top
    10
    In Classification-Video

    Overview

     Info
    AI generated from product descriptions
    Multimodal AI Model
    Advanced foundation models capable of understanding video content through multiple input modalities including visual, audio, and text
    Video Semantic Search
    Native video understanding with ability to identify movements, actions, objects, individuals, sounds, on-screen text, and spoken words
    Video-to-Text Generation
    State-of-the-art generative model capable of creating deep video analyses and generating contextual text descriptions
    Zero-Shot Classification
    Natural language-driven video classification system enabling custom taxonomy creation without requiring pre-training
    Vector Embedding Technology
    Powerful vector embedding generation that enables advanced downstream machine learning and AI applications
    Video Frame Analysis
    Automatically analyze every video frame-by-frame at 10x real-time speed using advanced AI technology
    Multilingual Content Processing
    Automatically add captions, translate, and enable search capabilities across more than 100 languages
    Interactive Video Capabilities
    Add interactive video overlays, shoppable links, and AI-driven automated campaigns with contextual targeting
    Collaborative Video Workspace
    Enable team collaboration with features like video upload, chapter creation, clip sharing, time-stamped commenting, and precision editing
    AI-Powered Content Tagging
    Identify and tag brands, objects, content categories, people, brand safety flags, spoken words, and text using cutting-edge AI algorithms
    Media Indexing
    Advanced AI-powered indexing system for comprehensive media content analysis
    Search Capabilities
    Multimodal search functionality enabling precise moment-based content retrieval
    Stream Management
    Live stream scheduling, archiving, and automated organization capabilities
    Content Integration
    Seamless integration with editing tools, live devices, social platforms, and content management systems
    Workflow Optimization
    Automated media workflow management from content capture to consumption

    Contract

     Info
    Standard contract
    No

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