Decart
Company Information
Headquarters
San Francisco, California, USA
Year Founded
2023
Industries
Artificial Intelligence, Generative AI, Media & Entertainment, Robotics, Computing Infrastructure, Simulation
What Is Decart?
Decart is an artificial intelligence company developing real-time generative AI models, interactive world models, and AI computing infrastructure. Its technology focuses on generating and modifying visual environments as they respond to user actions, rather than producing only prerecorded or static content. The company develops foundation models for live video manipulation and simulated environments, alongside software that improves AI training and inference efficiency. Its work spans generative video, physical AI simulation, and hardware-level optimization for machine learning workloads.
What Does Decart Do?
Decart develops AI systems that generate, edit, and simulate visual content in real time. Its Lucy video models can modify live footage, change visual styles, replace characters, and manipulate objects while a video stream continues running.
The company also develops Oasis, an interactive world model that generates simulated environments responding to user input and control signals. These environments can support robotics research, autonomous vehicle testing, gaming, and other applications requiring dynamic visual simulation.
Beyond its generative models, Decart builds infrastructure designed to reduce the computing resources and latency required for AI workloads. Its Decart Optimization Stack (DOS) improves how models run across different hardware platforms, helping organizations execute AI training and inference more efficiently.
Decart Technology
Decart combines generative world models, deep learning, and hardware-optimized AI inference to create systems capable of generating and modifying visual environments continuously. Its technology addresses the computational challenges of running generative AI at speeds suitable for live interaction.
The company’s Lucy models use neural video-generation techniques to transform incoming video frames while maintaining visual consistency across time. Lucy 2.5 supports live editing at 30 frames per second, including character transformations, visual effects, and changes to objects or backgrounds. This requires low-latency inference so that modifications appear as the original video is being processed.
Decart’s Oasis models focus on interactive world generation, where AI produces visual environments that respond to actions and changing conditions. Unlike conventional video-generation systems that produce a fixed sequence, Oasis generates subsequent frames based on user or machine control signals. Oasis 3 extends this approach to physical AI, supporting synchronized camera perspectives and environments designed for autonomous system training.
The company’s infrastructure technology is built around the Decart Optimization Stack (DOS). This system includes hardware-aware model design, optimized computational kernels, compiler technology, and memory-management techniques that improve training and inference performance.
DOS supports AI workloads across hardware architectures including NVIDIA GPUs, AWS Trainium, and Google TPUs. By optimizing the relationship between models and computing hardware, Decart seeks to reduce processing costs and make continuous AI-generated environments practical for real-world applications.
Why Decart Matters
Decart is relevant to the development of real-time generative AI and interactive world models, two technologies extending artificial intelligence beyond static images, text responses, and prerecorded video. Its systems demonstrate how AI-generated environments can respond continuously to human actions or machine inputs.
This capability has implications for entertainment, interactive media, robotics, and autonomous systems. AI-generated simulations could provide additional training environments for machines that must operate under changing physical conditions.
Decart also addresses a significant technical constraint: the computing resources required to run sophisticated AI models. Its hardware optimization and low-latency inference technology connects advances in generative AI with the infrastructure needed to deploy those models at scale.
Decart Products & Platforms
Decart Optimization Stack (DOS)
The Decart Optimization Stack is the company’s AI training and inference optimization platform. It combines hardware-aware model design, optimized kernels, proprietary compilers, and memory-management techniques to improve computational efficiency. DOS 2.0 supports multiple accelerator architectures, including NVIDIA GPUs, AWS Trainium, and Google TPUs, and provides the infrastructure underlying Decart’s generative models.
Lucy
Lucy is Decart’s real-time AI video editing and transformation model. It can change characters, modify backgrounds, add or remove objects, and apply visual effects while video is being streamed. Lucy 2.5 supports continuous video transformations at 30 frames per second, making it suitable for live entertainment, interactive media, and digital advertising.
Oasis
Oasis is an interactive generative world model that creates environments responding continuously to actions and control signals. Oasis 3 supports physically informed simulations, synchronized camera perspectives, and API access. Its initial focus includes autonomous vehicle training, where AI-generated environments can expose systems to different driving conditions and unusual scenarios.
Decart Applications
Decart’s technology supports live media production, interactive entertainment, and AI-powered video editing. Lucy enables real-time character transformations, virtual try-on experiences, background modifications, and visual effects for streaming platforms, advertising, and digital content creation.
Oasis supports autonomous vehicle development and robotics simulation by generating environments that respond to machine control signals. These simulations can expose autonomous systems to different roads, weather conditions, traffic situations, and uncommon events without reproducing every scenario physically.
Decart’s computing infrastructure also serves AI developers and hardware providers seeking to improve model training and inference performance. Its optimization technology can support low-latency AI applications across different computing architectures.
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Frequently Asked Questions
How is Decart's Lucy different from conventional AI video generators?
Lucy focuses on transforming video while it is being streamed or processed, rather than requiring users to generate a completed video before viewing the result. This enables interactive editing, live visual effects, and changes that appear continuously.
Can Decart's Oasis model be used to train autonomous vehicles?
Yes. Oasis 3 generates interactive driving environments that respond to vehicle control signals. Developers can use these environments to test autonomous systems under different road conditions, traffic situations, and unusual scenarios.
Does Decart develop its own AI computing chips?
Decart primarily develops software and optimization infrastructure rather than manufacturing its own chips. Its Decart Optimization Stack improves how AI models run across hardware platforms, including NVIDIA GPUs, AWS Trainium, and Google TPUs.
What is the difference between Lucy and Oasis?
Lucy is designed for real-time video transformation, including visual effects and changes to live footage. Oasis focuses on interactive world generation, creating simulated environments that respond to actions and can support robotics and autonomous systems.
Can developers integrate Decart's technology into their own applications?
Yes. Decart provides API access to supported models, including Oasis 3 for interactive world generation. Its video technology also supports integration into applications requiring real-time visual transformations.
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