Decart Raises $300M to Implement Real-Time World Model with Amazon's Chips

Decart Raises $300M to Implement Real-Time World Model with Amazon’s Chips

3 Min Read

Radical Ventures led the funding round, with Nvidia, Sequoia, Benchmark, Adobe, and Toyota participating. Angel investors include Andrej Karpathy, Michael Eisner, and the Nintendo family. Total funds raised now exceed $450m.


Decart, an AI research lab focused on real-time video and world models, announced on Monday it secured $300m in new funding led by Radical Ventures.

The round brings the two-year-old company’s total funding to over $450m, with new investors Nvidia, Atreides Management, Valor Equity Partners, Adobe Ventures, Toyota Ventures, and eBay Ventures, joining returning backers Sequoia Capital, Benchmark, and Zeev Ventures.

The list of angel investors highlights Decart’s strategic positioning: Andrej Karpathy, former Tesla AI head and OpenAI co-founder, former Disney CEO Michael Eisner, the Nintendo family, and gaming investor Moritz Baier-Lentz are included.

The đź’ś of EU tech

The latest rumblings from the EU tech scene, a story from our wise ol’ founder Boris, and some questionable AI art. It’s free, every week, in your inbox. Sign up now!

The company targets media, gaming, and infrastructure sectors with its offerings rather than focusing solely on software engineering. These markets align with Decart’s product deployment and use cases.

Decart offers three main products. DOS, the Decart Optimization Stack, is an inference and training platform utilizing Nvidia GPUs, Google TPUs, and Amazon Trainium, achieving 1,600 tokens per second for agentic inference—surpassing the industry average of 200—and full-HD video inference at up to 100 frames per second.

Lucy, its ‘world model for immersive experiences’, boasts response times under 30 milliseconds and is used in virtual try-ons, live streaming, and dynamic in-video advertising.

Oasis serves physical AI, targeting robotics and autonomous systems, following its viral real-time Minecraft-style demo in October 2024.

The Amazon partnership provides significant commercial details. Decart boasts deployment of real-time AI models of this class and scale on AWS Trainium, with its Lucy2 model on Trainium3.

Nafea Bshara, vice-president of Amazon’s Annapurna Labs, noted Lucy2’s Model FLOPS Utilisation exceeding 80%, indicating efficient chip power usage.

Decart CEO Dean Leitersdorf states world models are ‘the key to moving AI from the virtual world into the physical world’, contrasting language models which primarily operate in text.

Decart’s funding trajectory is evident. The company closed a $32m Series A at a $500m valuation in December 2024, following a $21m seed; Fortune reported in August 2025 that Decart raised $100m at a $3.1bn valuation.

Today’s round brings total funding above $450m. Founders Dean Leitersdorf and Moshe Shalev have developed the company since 2023; their Sequoia podcast appearance explains their vision that vertically integrated optimisation, not larger models, is the missing piece for real-time AI stacks.

The investor pattern aligns with Nvidia’s equity involvement. According to TNW, Nvidia invested over $40bn in AI equity in 2026 alone, with smaller positions aligning with long-term GPU commitments and resulting equity returns.

Decart’s DOS stack operates across all major

You might also like