AI video-generation startup Runway doesn’t have the typical Silicon Valley pedigree. No Stanford founders, no ex-Google founders, and no nine-figure seed round that bought them time to ignore revenue. Its three founders — two from Chile, one from Greece — met at NYU’s Tisch School of the Arts and built the company in New York.
Runway also could be, depending on who you ask, one of the most consequential AI companies today. Not because of what it has built, but because of what it is trying to build next.
For the past several years, the AI industry has largely operated on the premise that intelligence lives in language. Large language models like OpenAI’s ChatGPT and Anthropic’s Claude reflect that bet. Runway, alongside other competitors, is making a different one. Its founders believe the next form of AI intelligence won’t be built from text, but from video and world models that learn how the world works, not just how humans describe it. That distinction sounds academic, but its implications are not.
Runway co-founder and co-CEO Anastasis Germanidis said training models directly on observational data from the world is the next frontier of AI. The companies that get there first, he argues, won’t be the ones that perfected language. "We’re basically bound by our own understanding of reality," Germanidis told TechCrunch. "Language models are trained on the entire internet, on message boards and social media, on textbooks — distilling the existing human knowledge. But to get beyond that, we need to leverage less biased data."
Founded in 2018, Runway built its reputation on video-generation models — including its latest Gen-4.5 — and AI tools that let people turn text prompts into editable, cinematic content. Today, Runway’s technology powers production workflows for filmmakers and ad agencies, and the company has signed deals with major media players like Lionsgate and AMC Networks. Its tools have even been used in films such as "Everything Everywhere All At Once." Runway is now valued at $5.3 billion and added $40 million in annual recurring revenue in the second quarter of 2026.
If Runway’s bet that video generation is the path to world models pays off, the result will be felt from Hollywood to drug discovery. Within the last six months, the startup has put its plan into action and expanded beyond video generation, launching its first world model in December, with plans to launch another this year. World models are AI systems that simulate environments well enough to predict how they will behave, a domain where Runway aims to outpace deep-pocketed giants like Google.
[AgentUpdate Depth Analysis] The shift from language-centric AI to "world models" represents a critical inflection point for the AI Agent ecosystem. While LLM-based agents excel at text reasoning, they lack an intuitive understanding of physical laws, spatial geometry, and temporal causality, making them fragile in real-world deployments. Runway’s video-driven world models act as a high-fidelity physics simulator for agents. By allowing an agent to simulate and visualize the physical consequences of its actions before executing them, world models enable a leap from passive text reasoning to proactive, spatial-aware embodiment. This evolution will fundamentally bridge the gap between digital LLMs and physical robotics, paving the way for next-generation agents capable of navigating complex, dynamic environments with unprecedented precision.
