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In a market where compute has become one of the biggest bottlenecks in AI, that is an important problem to solve. Decart’s software helps developers get more performance out of the hardware they already use, while making it easier to run AI workloads across platforms such as Nvidia GPUs, Google TPUs and Amazon Trainium. In its own announcement, the company describes this as “the infrastructure layer for the next generation of low-latency AI systems,” built around three product lines: DOS, the Decart Optimization Stack for inference and training; Lucy, its world model for immersive experiences; and Oasis, its world model for physical AI.
The second part of Decart’s vision is arguably even more ambitious. Its world-model work points toward a future where games, simulations, e-commerce experiences, advertising, robotics and interactive media can be generated dynamically and in real time, rather than rendered or scripted in the traditional way. As CEO and co-founder Dean Leitersdorf put it:
“World models are the key to moving AI from the virtual world into the physical world.”
This context helps explain why Decart’s latest round attracted so much attention. The company raised $300 million at a reported valuation of $4 billion, in a round led by Radical Ventures, with Nvidia joining as an investor. Other new investors include Atreides Management, Valor Equity Partners, Adobe Ventures, Toyota Ventures and eBay Ventures, alongside returning backers Sequoia Capital, Benchmark and Zeev Ventures. Decart says Amazon is also one of its strategic customers, with a partnership spanning commercial deployment and joint go-to-market efforts through AWS.
Nvidia’s participation adds another layer to the story. Nvidia is the dominant force in AI chips, yet it is backing a company whose software helps developers run AI workloads across multiple hardware environments. That may sound counterintuitive at first, but it also reflects where the market is heading. AI infrastructure is becoming less about a single chip and more about an ecosystem: GPUs, custom accelerators, cloud infrastructure, optimization layers and software that makes all of it usable.
Decart’s round also fits a broader pattern in Israeli tech. According to Startup Nation Central’s Q1 2026 Ecosystem Report summary, Israeli tech raised $4.3 billion in Q1 2026, up 18% year over year, but across only 137 deals, the lowest deal count since 2018. In other words: fewer rounds, bigger bets. SNC also reported that 11 mega-rounds drove 53% of total funding, and that 74% of rounds included a global investor, a record level of international participation.
Decart is a textbook example of that new market: concentrated capital flowing to companies with global ambition, strategic relevance and deep technical differentiation.
The timing also created an unavoidable contrast with AI21 Labs, one of Israel’s original generative AI pioneers. On the same day Decart’s financing was reported, AI21 announced a major restructuring, cutting its workforce from around 180 employees to about 70 as it shifts focus toward AI agent optimisation technology around Maestro.
It is tempting to call this a passing of the baton, not from one company to another, but from one AI era to the next.
AI21 helped put Israel on the global AI map with world-class language models and deep research talent. Its pivot reflects a broader reality: selling standalone models has become a brutally competitive business. The next wave of value is likely to come from making AI faster, cheaper, more reliable and easier to deploy in the real world.
That is exactly where Decart is positioning itself. The AI boom is no longer just about building bigger models. The bottleneck is shifting to compute, inference, latency, cost and reliability. The companies that win will not only be the ones with the smartest algorithms. They will be the ones that can make AI experiences work in production, across hardware environments, at a price customers can actually afford.
The significance for Israel goes beyond Decart itself. It is a reminder that Israeli AI is not limited to “apps on top of GPT.” The strongest Israeli companies often emerge in technically difficult layers: infrastructure, optimization, cybersecurity, data, chips, computer vision and applied AI. Decart sits exactly in that sweet spot. It combines deep systems thinking with a product vision for what real-time AI experiences could become.
The contrast with AI21 is also instructive, but not in a negative way. AI21’s restructuring is a sign of how fast the AI market is maturing. The first phase rewarded model builders. The next phase will reward companies that solve the hard problems around deployment, orchestration, efficiency and real-world usage. Even AI21’s shift to Maestro points in that direction: the opportunity is moving from “who has the best model?” to “who can make AI work better inside complex workflows?”
This is exactly the kind of market where Israeli founders have historically done well. Israel has always been strong when the problem is technical, urgent and messy. Cybersecurity, semiconductors, defense, data infrastructure and enterprise software all benefited from that combination of deep engineering talent, operational pressure and global ambition. AI infrastructure feels like a natural continuation of that pattern.
The encouraging signal is not that every Israeli AI startup will raise a mega-round. Most will not. The signal is that global investors and strategic technology companies are still willing to underwrite very large outcomes when the company sits in a critical layer of the AI stack.
Seen this way, Decart’s round is more than a funding headline. It is a sign that AI infrastructure remains one of the most important markets in technology, that the next wave of AI will be shaped by companies that make models faster, cheaper and more usable, and that Israeli founders continue to punch far above their weight in the most technically demanding parts of the AI stack.
There is still a lot to prove. A $4 billion valuation comes with high expectations, and AI infrastructure is a brutally competitive market. But Decart is attacking a real pain point at exactly the right moment, with the kind of ambition that defines category-creating companies.
If AI is becoming the operating system for the digital economy, companies like Decart are building some of the plumbing that will make it scale.
That is why Decart AI’s $300 million raise is a positive signal for Israeli AI.
He is a former General Partner at Google Ventures (GV) in Europe, former head of Google for Entrepreneurs in Europe, and founding head of Campus London, Google’s first startup hub. Eze writes on Israeli tech, venture capital, artificial intelligence, and founder strategy.
He is also the founder of Techbikers, a nonprofit that brings together the startup ecosystem on cycling challenges in support of Room to Read.