Runway AI reaches $200 million in annual recurring revenue. September 8, 2026 at 15:59 GMT EC Assets Editorial Runway AI Inc. achieved $200 million in annual recurring revenue. This milestone was reached in September. The growth reflects increasing demand from companies utilizing the startup's image- and video-generating software. These tools are used for creating marketing materials. Runway AI focuses on artificial intelligence technology. Its software helps businesses produce visual content. The company's revenue figure highlights the expanding market for AI-driven creative applications. Businesses are increasingly integrating AI solutions into their content creation workflows. The startup's financial performance suggests strong adoption of its video tools. The $200 million annual recurring revenue underscores the value perceived by its client base. This demand is for image- and video-generating software. Such tools enable companies to efficiently develop marketing materials. The broader market for AI-powered content generation continues to expand. Companies are exploring new methods to streamline visual production. Runway AI's revenue growth illustrates this trend within the technology sector. The firm's success is tied to its specialized AI offerings. Technology Sources: investing.com, bloomberg.com, marketwatch.com.

Runway's Solaris is an AI system that generates software interfaces in real time. Sep 1, 2026 Key points. * Runway has unveiled Solaris, an "Interface World Model" that doesn't run user interfaces as code but renders them live and responds directly to clicks or voice. * The system aims to replace fixed apps with dynamic environments that adapt to the user, and could prove useful for interactive shopping or visual tutorials. * With text rendering still error-prone and no support for screen readers, the system, which builds on the Gen-4.5 video model, remains a research effort for now. Topics. AI company Runway has unveiled Solaris, the first model in a new category it calls "Interface World Models." Instead of running code, the system generates the user interface frame by frame as you interact with it. Rather than translating a design into code first, the model renders the interface itself in 720p and responds to clicks, drags, or voice commands. That's a sharp break from how software normally works, where the operating system decides what happens on screen and an app stays the same until someone ships an update. Runway lists several use cases: In online shopping, the store itself would become the interface, with users dragging a shirt onto a picture of themselves to try it on. A shop would no longer be a fixed layout but would adapt to each user. For product visualization, you can say "move the table" or "change the color of the couch," and the scene reacts instantly, which Runway sees fitting furniture and interior planning. The company also sees a use for tutorials and learning. Instead of a text answer like a chatbot gives, Solaris shows the next step visually in its own context, for example as a combustion demo with different materials. Runway wants the "app" as a fixed unit to disappear. Solaris builds on Runway's video model Gen-4.5 and follows the path the company started with GWM-1. A language model decides how the interface changes, while the world model renders each frame. Runway also sees it as a training ground for AI agents, which still fail at tasks like hotel bookings because they're trained on fixed layouts and can't handle websites that deviate from them. Runway's bigger claim is that the "app" as a fixed unit will disappear. Today, getting something done means opening the right prebuilt app, one for shopping, one for messages, one for reservations. If an operating system can generate the right interfaces on its own, there's less reason to sort software into a fixed catalog of apps. An online store would then no longer be a fixed layout that everyone sees the same way, but a generated environment that adapts to each user. Whether people actually want interfaces that keep changing is a question Runway leaves open. For now, this is still a long way off, as Runway says stable, readable text remains a hard problem to solve even though interfaces depend heavily on it. Long sessions and reliability are open questions too, and a wrong but convincing-looking result can be worse than none at all. A generated interface also has to work with assistive tech like screen readers. That makes Solaris a research effort for now. Runway is looking for partners for a launch and offers early access through a form.

Bringing Runway Characters to SIGGRAPH's biggest stage. July 31, 2026 by Leah Retta SIGGRAPH 2026 is the premier conference in computer graphics, with a history that includes the debut of the first Pixar short film. It is also one of the few research venues where practitioners from the world's largest animation and entertainment studios sit alongside academics. This year, Characters was accepted into Real-Time Live!, the conference's highly-anticipated session where teams have 6 minutes to demo their work live in front of thousands and are judged by a jury of computer graphics and real-time technology experts. Runway sat down with members of its research and product team behind the work - Yining Shi, Katie Lewis and Taras Khakhulin - to talk about what it took to get there, what the room responded to and where this research is headed next. Runway's Characters demo at SIGGRAPH 2026. Let's start with the research itself. What problem were you setting out to solve with Characters, and what was the state of the art before this work? Taras Khakhulin: When Runway made the work public, there was nothing else like it: a system you could talk to that generates its response frame by frame, in real time. Real-time avatars existed before, but most were controlled talking heads under the hood. They restricted you to a human figure and often required specific formats, like a video upload or a 3D asset. Characters starts from a single image. That can be a photo of you, a pet, an animated character or something completely abstract, and it doesn't need any fine-tuning or per-style adaptation. There was no existing system to reference when Runway built this, which meant every design decision had to be proven out from first principles. Generalizing to any style, even highly abstract characters, was something few people realized was possible. Real-time is doing a lot of work here. Why does that latency bar matter so much? Katie Lewis: Latency matters because the product is a natural conversation. By the time you stop talking, the character should already be responding, and even a small delay can break the experience entirely. Yining Shi: Hitting that bar took the rendering engine behind Characters, its first real-time model deployed in production, plus months of engineering work streaming video and audio back to users and squeezing milliseconds out of every layer of the stack. Characters shipped in March, and Runway has seen great reception from its community of users. SIGGRAPH is a different moment: a peer-reviewed stage in front of the graphics research community. What did bringing the work to SIGGRAPH mean to the team? Lewis: The peer review itself meant a lot. Getting selected is the research community validating that the work is technically novel. Runway builds all of its own foundation models, and this was a chance to talk about that research directly with a research audience. And during rehearsals, the judges pushed Runway to prove the system is truly spontaneous and reactive. Khakhulin: Real-Time Live! is ultimately proof by format. A paper can work in theory, but any demo that survives that stage is work that actually runs. Runway's product and research team, demoing Characters live at SIGGRAPH 2026. What was the reception like, in the room and since? Shi: The moment that landed hardest was creating a character live: taking a photo of next year's conference chair on stage and having them talking as a character within seconds. Throughout the conference, attendees sat down with Runway, took a photo and talked with themselves, asking their character every question they could think of. Lewis: A few things consistently surprised people. Conversations can run 30 minutes or more without degrading, when most assumed the ceiling was a couple of minutes. Researchers came up after the session to dig into the architecture, including whether the model is truly autoregressive, and a group presenting later in the conference even quoted Runway as an inspiration for their own work, which is exactly the kind of exchange you hope for at a venue like this. Khakhulin: The frame generation surprised people, too. Runway generate every single frame rather than looping segments of video to maintain consistency, and that is what makes those long conversations possible. Yining Shi demoing Characters at SIGGRAPH 2026. Source: SIGGRAPH This took the research and platform teams working as one unit. How did those two sides shape each other? Shi: There was no waterfall. Once the model showed promising results, researchers and engineers met almost daily until it shipped. Khakhulin: Some things can only be optimized at the level of the method and architecture, and past a certain point, the gains have to come from engineering. Both had to happen simultaneously to reach the point where the experience feels natural, just like the way people talk in real life, rather than slightly laggy. Runway has prioritized building interactive AI Characters responsibly from the start. What did conversations around safety and moderation look like on the ground at SIGGRAPH? Lewis: Because the model works with any character, people immediately imagine experiences built for children, and they ask about guardrails. Others ask how a character with a specific function stays on task: if it is meant to read bedtime stories and the conversation drifts, how does it redirect appropriately? Moderation and the certainty of moderation came up repeatedly, and it's something Runway is actively prioritizing. What are you looking ahead to now? What does this work look like a year from now? Khakhulin: The next step is giving characters somewhere to live. Runway is working toward navigable environments, so a character can exist in a world you can move through and interact with differently. Runway is also exploring how you might interact with characters through text and control their expressivity and emotions. Lewis: Runway is also exploring making Characters more personal, whether through multiple reference images or a memory and objects of their own. Runway is also working on making Characters faster and more accessible to broader audiences. The underlying model keeps improving, and each version of it makes more of this possible out of the box. Discover more