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  • Decart AI Lab | Real-Time Generative Video Multimodal Models
    Decart builds the fastest visual AI systems ever made Our models understand the world, transform video live, and scale from consumer apps to industrial workloads powered by cutting-edge efficiency and custom low-level engineering
  • Exclusive: Decart raises $100 million at a $3. 1 billion valuation . . .
    Decart has closed a $100 million Series B, valuing the company at $3 1 billion, Fortune has exclusively learned Sequoia Capital, Benchmark, and Zeev Ventures, all existing investors,
  • Oasis
    Currently, our app is available on Desktop Chrome only Please switch to Chrome for the best experience
  • Decart’s New Lucy 2 Generative AI Video Model Pushes . . . - Forbes
    Decart, the Israeli real time generative AI startup backed by Sequoia Capital and Benchmark, is advancing a new class of generative video technology built for continuous use
  • Decart | Sequoia Capital
    The Decart efficient AI platform provides an order of magnitude improvement in both training and inferencing of the largest generative models Leveraging these advanced capabilities, Decart is able to train foundational generative interactive models and make it accessible for everyone in real-time
  • Decart raises $100M on $3. 1B valuation to grow real-time AI video . . .
    Founded in 2023, Decart specializes in real-time generative video technology and graphics processing unit optimization Its mission is to make AI fast, responsive and affordable enough to power
  • Decart hits $3. 1 billion valuation on $100 million raise to power real . . .
    Decart was founded in late 2023 by Dr Dean Leitersdorf (CEO) and Moshe Shalev (CPO), both veterans of Israel’s elite Unit 8200 Over the past year, the company has grown from 15 to more than 60 employees, primarily in Tel Aviv, with additional teams in northern Israel, San Francisco, and New York
  • Decart Secures $32M to Transform AI with Open Worlds
    Decart’s first product is a systems-level solution designed to maximize GPU efficiency during the training and inference phases of AI model deployment By addressing one of the most significant cost challenges in AI, this software allows organizations to dramatically reduce operational expenses




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