Runway company profile: valuation, funding & revenue

This Runway company profile covers the company's valuation, revenue, funding rounds, investors and history. Runway works in artificial intelligence, with a focus on AI video generation and world models. It was founded in 2018 and is headquartered in New York, New York, United States. Its latest valuation on record is US$5.3 billion (February 2026). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

Funding history

Runway timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2018 — Runway is founded in New York by Cristóbal Valenzuela (CEO), Anastasis Germanidis and Alejandro Matamala.
• Apr 2025 — Series D: See source, valuing the company at About US$3B. Investors: General Atlantic (lead).
• Feb 2026 — Series E: US$315M, valuing the company at US$5.3B. Investors: General Atlantic (lead); Nvidia, Fidelity, AllianceBernstein, Mirae.

Investors

Overview

Runway builds AI tools for creating and editing video. Its Gen series of models can generate video from text descriptions or images, change the style of existing footage, extend scenes, keep characters consistent across shots, and control camera movement. Filmmakers, advertising agencies, game studios and creators use it to produce visual effects, storyboards, concept videos and finished content far faster and more cheaply than with traditional methods. Runway has increasingly described its goal as building "world models": AI systems that understand and simulate how the physical world looks and behaves.

Cristóbal Valenzuela, the CEO, Anastasis Germanidis and Alejandro Matamala founded Runway in 2018 after meeting at New York University's Interactive Telecommunications Program, where they explored how machine learning could be used by artists. Runway was also one of the research collaborators behind the original Stable Diffusion image model. The company is based in New York.

Products

• Gen-3, Gen-4 and later models: successive generations of video models with improved realism, consistency and control.
• Editing tools: AI-powered tools for removing objects, changing backgrounds, slow motion and other effects, used inside Runway's web-based editor.
• Act-One and performance tools: animating characters based on an actor's performance captured with an ordinary camera.
• API: access for developers and companies building video features into their own products.
• World models: research into models that can simulate interactive environments, with applications beyond media, such as robotics and gaming.

Partnerships with the entertainment industry

Runway has worked closely with the film and television industry. It signed a partnership with Lionsgate to train a custom model on the studio's film library for use by its filmmakers, worked with AMC Networks, and has run an annual AI film festival. Its tools were used in the visual effects of the Oscar-winning film "Everything Everywhere All at Once". It also has a partnership with Adobe that integrates Runway's technology into Adobe's Firefly and Premiere Pro, bringing it to a large base of professional editors.

Business model

Runway sells subscriptions to individual creators and teams, with credits for generating video, and enterprise contracts with studios, agencies and companies, including custom models trained on a client's own content. API usage is another revenue source. Runway doesn't confirm revenue figures; reports have estimated annualised revenue in the hundreds of millions of dollars, but we show it as not disclosed.

Funding

Runway has raised from investors including Google, Nvidia, Salesforce Ventures, Lux Capital, Amplify Partners and General Atlantic. Its April 2025 Series D, led by General Atlantic, valued it at about US$3 billion. In February 2026 it raised a US$315 million Series E at US$5.3 billion, again led by General Atlantic, with Nvidia, Fidelity, AllianceBernstein and Mirae, nearly doubling its valuation. Runway said it would use the money to develop more capable world models.

Competition

AI video is intensely competitive. Runway faces OpenAI's Sora, Google's Veo, Meta's video models, Chinese competitors such as Kuaishou's Kling and MiniMax's Hailuo, and startups such as Pika and Luma AI. Image model makers like Black Forest Labs are moving into video, and avatar video companies like Synthesia serve corporate use cases. Runway's advantages are its long focus on creative professionals, its editing tools, and relationships with studios and Adobe; its challenge is competing with companies that have far greater computing resources.

Runway at a glance

Runway is a New York AI video company founded in 2018 by Cristóbal Valenzuela, Anastasis Germanidis and Alejandro Matamala. It makes the Gen series of video models and editing tools, and partners with Lionsgate, AMC Networks and Adobe. It was valued at about US$3 billion in April 2025 and raised a US$315 million Series E at US$5.3 billion in February 2026, led by General Atlantic.

AI and the film industry

Generative video raises difficult questions for the entertainment business. Studios see opportunities to reduce costs for visual effects, pre-visualisation and marketing; independent filmmakers can produce scenes that once required large budgets. At the same time, actors, writers and visual effects artists worry about job losses and the use of their work to train models without consent or payment. Hollywood strikes in 2023 secured some protections around AI use. Companies like Runway emphasise tools that augment creative professionals and partnerships that license content properly, but the debate will shape how widely AI video is adopted in professional production.

What "world models" means

A world model is an AI system that learns how environments behave: how objects move, how light falls, what happens when things collide. Video generation is a step towards this, because generating realistic video requires implicitly understanding physics and causality. If world models become good enough, they could be used to simulate environments for training robots, testing autonomous vehicles, designing games and more. Several AI labs see world models as a major next frontier, which is part of why investors value video AI companies highly.

Questions for creative teams

• What rights do you have to commercially use generated video?
• Was the model trained on licensed content, and does the vendor offer indemnities?
• How consistent are characters and styles across a whole project?
• How does the tool fit into your existing editing workflow?

How AI video models are built

Modern video models are typically trained on very large collections of video clips paired with descriptions. They learn to turn random noise into coherent frames step by step, a process known as diffusion, while keeping motion smooth and objects consistent from one frame to the next. Training them requires enormous amounts of computing power, far more than image models, because every second of video contains many frames. Running them is also expensive, which is why AI video tools usually charge by the second of generated footage. Improvements in efficiency are therefore as important as improvements in quality: cheaper generation means more customers can use the tools for everyday work rather than special projects.

Latest developments (October 2026)

Runway raised US$315 million in a Series E led by General Atlantic in February 2026 at a US$5.3 billion valuation, according to Bloomberg. The company is now pitching "world models" that simulate environments, not just video clips, positioning it for robotics and gaming uses as well as film. Competition from Google, OpenAI and Chinese video models remains intense. See our AI video generation guide.

What to watch

Watch new model releases, studio partnerships, progress on world models, legal developments around training data, and any further funding or acquisition interest.

Takeaways

Creators and agencies can cut production time for concept and effects work. Founders can learn from Runway's focus on a professional creative audience. Investors should weigh strong brand and partnerships against competition from the largest AI labs.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. TechCrunch