TwelveLabs Marengo Embed 3.0 brings smarter, faster, and leaner video intelligence to video data. Capable of handling an industry-leading 4 hours of video, advanced sports understanding and multilingual capabilities, Marengo empowers the world's leading brands to do more with their video.
TwelveLabs Marengo Embed model offers state of the art performance for any-to-any (video, image, audio, text) multimodal tasks such as search, retrieval, anomaly detection, recommendation. Get fast, context-aware results that reveal exactly what you are looking for in vast amounts of content moving beyond basic tags into a whole new dimension of multimodal understanding.
Highlights
Video workflows are automated, fast and supercharge creativity
Video archives that are now easily managed and fully accessible become revenue generators
Personalized content and experiences can be easily and consistently created to drive
audience engagement.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
You pay only for what you use, with no upfront commitment. Pricing splits into four input types: video seconds, audio seconds, text requests, and image counts. Each type maps to how you send content to the model for embedding. Video and audio bill per second processed. Text bills per request. Images bill per count. This lets your cost track directly to the volume and mix of content you embed. As you process more of any input type, charges add up for that type independently.
Top-of-mind questions for buyers
What does one Input Video Second or Input Audio Second represent for billing?
You are billed per second of video or audio you send for embedding. Each second processed counts as one unit. The model reads visual, audio, spoken word, and on-screen text from your video, but billing tracks the duration processed, not the number of modalities.
If I embed video, audio, text, and images together, how do the charges combine?
Each input type bills independently. Video and audio charge per second, text charges per request, and images charge per count. These add together on one invoice. The type you use most drives your total. High-volume video processing usually dominates cost, since video bills per second.
What counts as one Input Text Request or one Input Image?
One text request is a single call that sends text for embedding, counted per request regardless of text length. One image is a single image submitted for embedding, counted per image. Both meter the number of items you send, not their size.
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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!
Imagine if massive video libraries were as easy to search, browse, and manage as simple text documents. By combining TwelveLabs’ advanced AI models with TrackIt’s seamless integration services, that vision becomes reality. These joint AI solutions understand the context of what is happening in a scene to generate detailed, searchable metadata automatically. Media teams can instantly locate specific moments without scrubbing through hours of footage, quickly package engaging highlight reels for social media, and proactively flag sensitive content to safeguard brand reputation. Whether preserving a vast historical archive or monitoring a steady stream of new uploads, organizations can finally unlock the true value of video content.
This product has charges associated with it for maintenance & support. Features: 8GB, no LVM, Secure, minimal, up-to-date, production-ready Rocky Linux 8 AMI. Based on official Rocky8 ISO DVDs, ready to use in minimal configuration, small footprint 8GB expandable root partition, AWS software and drivers (AWS CLI, ENA, NVME) installed and latest RockyLinux8 SW updates at the time of creation
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