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Reading: Decart Raises $300 Million to Advance Real-Time AI World Models
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The Board Room Leaders > Blog > News > Decart Raises $300 Million to Advance Real-Time AI World Models
News

Decart Raises $300 Million to Advance Real-Time AI World Models

Stella Young
Last updated: May 21, 2026 9:32 am
Stella Young
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Decart $300M funding round
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Decart, a fast-growing artificial intelligence company focused on real-time AI systems, has raised $300 million in a new funding round. The investment highlights rising global interest in AI technologies that can generate and process interactive digital environments with minimal delay.

Contents
  • Major Global Investors Join the Round
  • Focus on Real-Time AI World Models
  • Core Technology Stack and Model Development
  • Rising Demand for Low-Latency AI Systems
  • Company Background and Expansion Plans

The round values Decart at around $4 billion, marking a major jump in its growth trajectory as the company expands its work in real-time generative AI and world model systems.

Major Global Investors Join the Round

The funding round was led by Radical Ventures, with participation from several prominent technology and investment firms. These include Nvidia, Sequoia Capital, Benchmark, Adobe Ventures, Toyota Ventures, eBay Ventures, Atreides Management, and Valor Equity Partners.

The round also attracted well-known individual investors from the global tech and entertainment sectors, including Andrej Karpathy, former Disney CEO Michael Eisner, and members of the Nintendo founding family.

In addition, reports indicate that Amazon is involved as a strategic customer, reflecting growing enterprise interest in Decart’s real-time AI infrastructure.

Focus on Real-Time AI World Models

Decart builds systems known as real-time world models, which are designed to generate and modify digital environments instantly. Unlike traditional AI tools that operate with delay or offline processing, these systems focus on continuous interaction.

The company develops technology that supports low-latency AI performance, allowing users to interact with generated environments in real time. This approach is increasingly important for applications such as interactive media, gaming systems, simulation environments, and robotics research.

Core Technology Stack and Model Development

At the center of Decart’s platform is its optimization system, designed to improve AI computing efficiency across different hardware setups. This infrastructure helps reduce processing time and supports faster model response during live interaction.

Decart also develops specialized models focused on real-time transformation and simulation:

  • A real-time video transformation model designed for live content manipulation
  • A world model designed for simulation and physical environment generation

These tools are aimed at supporting industries that require fast, responsive AI systems, including digital content creation and immersive technologies.

Rising Demand for Low-Latency AI Systems

The funding comes at a time when AI development is shifting toward real-time and interactive systems. Companies across industries are exploring ways to reduce delay in AI outputs, especially for applications involving video, virtual environments, and autonomous systems.

Decart’s approach positions it within this emerging segment of AI research, where speed and responsiveness are becoming key competitive factors.

Company Background and Expansion Plans

Founded in 2023 by engineers with backgrounds in artificial intelligence research, Decart has quickly grown into a well-funded startup in the AI infrastructure space.

The company has raised more than $450 million in total funding to date, reflecting strong investor confidence in its long-term vision.

With the new capital, Decart plans to expand its computing infrastructure, scale model performance, and accelerate deployment of its real-time AI systems across enterprise and creative applications.

Decart’s $300 million funding round underscores growing global investment in real-time artificial intelligence. As demand increases for interactive and low-latency AI systems, the company is positioning itself at the center of a shift toward more dynamic and responsive digital technologies.

Stella Young
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