'Twelve Labs Earns $50 Million Series A Co-led by New Enterprise Associates (NEA) and NVIDIA's NVentures to Build the Future of Multimodal AI'
"Twelve Labs, the video understanding company, today announced that it raised $50 million in Series A funding to fuel the ongoing development of its industry-leading foundation models dedicated to all aspects of video."
"Twelve Labs has integrated a number of NVIDIA frameworks and services within its platform, including the NVIDIA H100 Tensor Core GPU and NVIDIA L40S GPU, as well as inference frameworks such as NVIDIA Triton Inference Server and NVIDIA TensorRT. These technologies have enabled Twelve Labs to develop first-of-their-kind foundation models for multimodal video understanding."
• "Its release of its Marengo-2.6 model, a state-of-the-art multimodal embedding model." Marengo 2.6 offers a pioneering approach to multimodal representations tasks– not just to video but also image and audio, performing any-to-any search tasks, including Text-To-Video, Text-To-Image, Text-To-Audio, Audio-To-Video, Image-To-Video, and more.
• "Twelve Labs also opened its beta of Pegasus-1, which sets a new standard in video-language modeling. Pegasus-1 is designed to understand and articulate complex video content, transforming how we interact with and analyze multimedia."
• "Twelve Labs introduced its Embeddings API, which gives users direct access to the raw multimodal embeddings that power the existing Video Search API and Classify API. This first-of-its-kind API supports all data modalities (image, text, audio, and video), turning data into vectors in the same space, without relying on siloed solutions for each modality.
"Through our work, particularly our perceptual-reasoning research, we are solving the problems associated with multimodal AI. We seek to become the semantic encoder for all future AI agents that need to understand the world as humans do," said Jae Lee, co-founder and CEO of Twelve Labs."
"Since debuting its platform, Twelve Labs has 30,000 users that are utilizing its APIs for tasks such as semantic video search and summarization across notable organizations in sports, media and entertainment, advertising, automotive, and security."
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