Decart is an AI research lab that specializes in video and world models optimized for efficiency and real-time performance. Pulse 2.0 interviewed Noy Levinson, Decart’s General Manager of Strategy and Business, to learn more.
Noy Levinson’s Background
Could you tell me more about your background? Levinson said:
“I’ve spent most of my career helping companies take deep technology and turn it into something that can actually scale in the real world. I’ve worked across big tech, venture ecosystems, and early-stage company building, and I’ve always been drawn to roles where the technology is ahead of the market and the job is to help define what the market becomes.”
“Most recently, I was at Amazon Web Services, where I led startup and venture capital strategy across multiple regions, including North America. Before that, I was part of Team8 early on, where I worked closely with founders and enterprise leaders to build partnerships, validate products, and commercialize new technologies. Earlier in my career, I worked in law and government, which gave me a strong foundation in how global systems, regulation, and industry dynamics work.”
“Looking back, the pattern is consistent: I like building from scratch, and I like being close to the moment when a new category is being created.”
Responsibilities At The Company
What are your primary responsibilities at the company? Levinson shared:
“My role at Decart is to help build the business side of the company as we scale globally. That includes shaping our commercial strategy, building our go-to-market organization, developing partnerships, and working with the leadership team on how we turn Decart’s research advantage into a platform that can reach massive markets.”
“A big part of the job is also identifying where real-time world models create the most value, and how we package that value in a way that customers can adopt quickly and at scale. It’s not just about selling technology — it’s about building the foundation for long-term monetization and market leadership.”
Favorite Memory
What has been your favorite memory working for the company so far? Levinson reflected:
“Honestly, it’s watching someone see the product for the first time and realizing that this isn’t ‘AI content generation’ in the way they’ve gotten used to. When they experience a world model responding instantly, you can literally see the mental shift happen. The questions change immediately.”
“Instead of ‘how long does it take to generate?’ they start asking ‘what can I build with this?’ That’s a rare moment, and it’s incredibly energizing.”
Core Products
What are the company’s core products and features? Levinson explained:
“Decart builds real-time world models — systems that can generate and evolve dynamic environments instantly.”
“Most generative AI today is still fundamentally static: you ask for something, it produces an output, and the interaction ends. World models are different. They behave more like living systems that respond continuously.”
“That unlocks a wide range of applications, from interactive entertainment and gaming to commerce experiences and new forms of consumer media. We see this as the early foundation of a new computing layer — one where AI isn’t a tool you query, but an environment you interact with.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Levinson acknowledged:
“The biggest challenge is that this market is being invented in real time.”
“When you build something truly new, customers don’t always show up with a neat list of requirements. Sometimes they don’t even have the language for what they want yet — they just know the existing tools aren’t enough.”
“So a lot of our work is collaborative. We spend time with partners, builders, and companies across different industries, and we co-design what the right product and business model should look like. That process is harder than selling something familiar, but it’s also where category-defining companies get built.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Levinson noted:
“It’s evolved incredibly quickly. The early breakthroughs proved that real-time world modeling was possible. Since then, the focus has been on making it stable, scalable, and commercially viable.”
“And the most important thing is that every technical improvement expands the space of what you can build. When you reduce latency, you unlock new product experiences. When you increase throughput, you unlock new business models. So the evolution isn’t just ‘better quality’ — it’s that the platform becomes usable for more real-world applications.”
Significant Milestones
What have been some of the company’s most significant milestones? Levinson cited:
“Decart has grown at a very unusual pace. In under a year, the company completed three funding rounds totaling $153 million, reaching a valuation of $3.1 billion. That level of momentum is rare, and it reflects how big the opportunity is around real-time AI systems.”
“But beyond fundraising, I think a major milestone is that we’ve reached a point where real-time world models aren’t just a research concept — they can actually power live products and consumer experiences.”
“That’s when things become real.”
Customer Success Stories
Can you share any specific customer success stories? Levinson highlighted:
“One example is in retail, where real-time world models make it possible to create immersive shopping experiences that feel more like interaction than browsing. Instead of static product pages, users can see products change dynamically, instantly, and naturally.”
“We’re also seeing very strong interest from gaming and entertainment companies, because real-time world models can enable entirely new types of gameplay and storytelling — worlds that adapt to the user continuously rather than being pre-scripted.”
“The common theme across customers is that they’re not using Decart to make something slightly better. They’re using it to build something that didn’t exist before.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Levinson revealed:
“We’ve publicly shared that Decart has raised $153 million across three funding rounds and reached a valuation of $3.1 billion.”
“On the commercial side, we’re focused on building long-term platform monetization. The opportunity here is massive, and we’re being very intentional about scaling in a way that supports long-term adoption and durable market leadership.”
Total Addressable Market (TAM)
What total addressable market (TAM) size is the company pursuing? Levinson assessed:
“We believe the TAM is extremely large, because world models touch multiple major markets at once — entertainment, gaming, retail, advertising, media, and more.”
“But the bigger point is that real-time world models don’t just improve existing industries. They create new ones. Similar to how smartphones or social platforms created entirely new categories of consumer behavior, we think world models will do the same.”
“So we don’t think about TAM as one number — we think about it as a new layer of computing that will reshape how digital experiences are built.”
Differentiation From The Competition
What differentiates the company from its competition? Levinson affirmed:
“Decart is building for real time from the beginning. That sounds simple, but it changes everything.”
“A lot of generative AI today is impressive, but it’s still designed around waiting. That works for offline creation. It doesn’t work for interactive experiences.”
“Real-time world models require a completely different approach to architecture, efficiency, and systems engineering. When AI becomes instant, it stops being a “tool” and starts becoming part of the experience itself.”
“That’s what we’re building: not just outputs, but an interactive layer that people can build products on top of.”
Future Company Goals
What are some of the company’s future goals? Levinson emphasized:
“The near-term goal is to scale adoption globally and build the commercial engine that matches the technology. That means growing our go-to-market capabilities, expanding partnerships, and making it easier for companies to integrate real-time world models into real products.”
“But the bigger goal is to build a platform that becomes foundational. We want Decart to be the company that powers the next generation of interactive consumer experiences — the kinds of products that feel closer to living inside a world than using an app.”
“And from a business perspective, that’s where the most exciting monetization opportunities exist: when you’re not just enabling content creation, but enabling new digital economies.”
Additional Thoughts
Any other topics you would like to discuss? Levinson concluded:
“One thing I think is underestimated right now is how much the user experience of AI is about to change.”
“The last few years were about generation: type something, wait, get an output. The next phase is about interaction: AI responding instantly, continuously, and naturally.”
“When that happens, the entire product landscape shifts. It changes how consumers engage, how companies build, and how value is captured.”
“Decart is very focused on that future — and we think we’re still in the first chapter.”
