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Runway Bets on Video and World Models to Beat Language First AI Labs at Their Own Game

The 53 billion startup founded by NYU artists argues that observational data not text will produce the next leap in AI intelligence

By Behind the TechPublished 5 months ago • 6 min read

Read Time 6 minutes Tags Runway AI Video Generation World Models Generative AI Robotics Drug Discovery Compute AI Strategy AI video generation startup Runway doesn t have the typical Silicon Valley pedigree No Stanford founders no ex Google founders 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 The core bet 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 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 from Runway s homey sunlight filled headquarters near Union Square Language models are trained on the entire internet on message boards and social media on textbooks distilling the existing human knowledge Germanidis continued But to get beyond that we need to leverage less biased data From video tools to world models Founded in 2018 Runway built its reputation on video generation models including its latest Gen 45 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 53 billion and according to one of its founders 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 If it doesn t Runway risks being outpaced by competitors with far deeper pockets Google chief among them 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 ll behave Runway isn t alone in its pursuit of turning physics aware video models to world models with near term use cases in interactive entertainment gaming and robotics training Startups Luma and World Labs are on a similar trajectory and Google has pointed its Genie world model in the same direction Everyone is after some version of the same thing AI that solves humanity s hardest problems That s far from Runway s original product but it s the result of both emergent capabilities in the technology and founders who were predisposed to follow where it led Why world models matter For his part Germanidis sees world models as scientific infrastructure The more sensory data and observations you train a single model on the closer you get to a working digital twin of the universe one you can run experiments on faster than any lab could Much of the scientific process is just waiting on results he points out If you could compress that waiting you could compress progress itself If we can build a better scientist than human scientists we can accelerate progress in how we understand the universe and how we solve problems Germanidis said Things like robotics drug discovery and climate modeling the kinds of problems that have stumped researchers for decades Last year Runway launched a robotics unit that Germanidis says has already resulted in real world testing and deployments Germanidis like others sees the field heading toward training a single model on many different modalities text video voice and other sensors and thinks the compounding effect is the point His own moonshot goal for Runway s technology given enough time and resources is biological world models and anti aging research Resources and competition Whether Runway can carry its video dominance into world models is far from settled and the competition isn t waiting around Runway was among the first to develop AI video generation but world models are a different race with deep pocketed and well respected competitors Google former Meta chief scientist Yann LeCun AI s godmother Fei Li and a growing field of startups are all chasing the same goal Kian Katanforoosh CEO of AI skills benchmarking company Workera and a lecturer at Stanford pointed out that no one has yet proven the jump between video intelligence and generalized reasoning via world models but that doesn t mean it s impossible He said that if Runway wants to turn its world model bet into reality it will need to continue gathering resources compute chief among them Runway has deals with CoreWeave and Nvidia but wouldn t confirm whether it has dedicated cluster access the kind of guaranteed large scale compute that training frontier models requires How are you going to build a foundational model without a cluster Katanforoosh asked I don t think anybody can do that Runway has raised 860 million to date including a 315 million round in February from strategic partners like AMD Ventures and Nvidia That s roughly in line with its most immediate competitors Luma AI and World Labs which have raised 900 million and 129 billion respectively according to PitchBook But Runway is also going up against incumbents like OpenAI which has raised around 175 billion per CEO Sam Altman and tech behemoth Google whose parent company Alphabet is worth 486 trillion Google is Runway s biggest threat The company s Veo model competes directly with Runway s video generation business while its Genie world model targets the same longer term territory Runway is racing toward Katanforoosh nodded at OpenAI which shuttered its video platform Sora in March after burning roughly 1 million per day in compute costs with barely 21 million in revenue according to some estimates His point Resources alone don t guarantee survival They don t guarantee it for Runway either Culture and execution Katanforoosh isn t writing Runway off He pointed to AI audio startup ElevenLabs which has outperformed OpenAI and Google on their own benchmarks despite lacking the resources and pedigree of either Runway he argues could follow a similar playbook The comparison isn t lost on Runway s founders Valenzuela says the startup s lack of Bay Area standardization gives them an edge Not only do they have diversity of thought he contends but without Silicon Valley ties they had to be scrappier lacking the war chest many of their peers have access to that would have insulated them from the need to generate revenue early And according to Michelle Kwon Runway s chief operating officer the company isn t in a rush to raise more funds even as compute demands increase with scale Their background has led them to be early to be right more often than not and to build a culture that moves incredibly quickly early investor Michael Dempsey managing partner at Compound told TechCrunch For Valenzuela that culture starts with how he sees the world in the first place He spends whatever free time he has not much as a co CEO and new father reading books including the Chilean poet Nicanor Parra whom he describes as the antithesis of Pablo Neruda less formal less academic holding a view that poetry belongs to the people rather than to rules Rules are just rules they invented Valenzuela said That s a driving force of how we do things at Runway They say Silicon Valley is here and that s where the startups are Why Those are just made up rules Scrub them all and start again Do you think world models trained on video will surpass language models as the path to general intelligence or will text remain the dominant foundation Share your view in the comments

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    Written by Behind the Tech