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- Decart - The First Real-Time Generative AI Open World Model
Dedicated to democratizing consumer AI through innovative, cost-effective solutions Founded in 2023 and backed by Sequoia Capital and Zeev Ventures, Decart has developed a revolutionary platform that enhances GPU efficiency for AI model training, making advanced AI tools accessible to a broader audience Decart is disrupting the gaming and entertainment industries by allowing users to create
- Oasis
Oasis is an AI-powered interactive model showcasing real-time generative capabilities, simulating open-world physics and graphics based on user input
- Decart
The first ever World Transformation Model - turning any video, game, or camera feed into a new digital world, in real time
- This AI Warps Live Video in Real Time - WIRED
A startup called Decart has developed an AI model that can transform live footage The results are mind-bending—and poised to take over streaming
- Decart launches real-time AI tool for live video transformation
Israeli AI startup Decart has announced what it describes as the world’s first real-time, autoregressive video-to-video model The new system, named Mirage, is designed to convert live video streams into different visual styles while maintaining motion, structure and frame rates, an advance that could open new possibilities for how video is produced and adapted in real time
- Decart Secures $32M to Transform AI with Open Worlds
San Francisco-based Decart is reshaping the landscape of artificial intelligence, combining cutting-edge research with practical applications Having secured $32 million in Series A funding at a valuation exceeding $500 million, the company’s rapid ascent marks it as a formidable contender in the AI space
- 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
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