Runway raises $315 million Series E to train next-generation world models
Original: Runway Announces $315 Million in Series E Funding View original →
On February 10, 2026, Runway announced $315 million in Series E funding led by General Atlantic. The company said the round also included investors such as NVIDIA, Adobe Ventures, AMD Ventures, AllianceBernstein, Fidelity Management & Research Company, Mirae Asset, Felicis, Premji Invest, Emphatic Capital, and others.
Runway says the new capital will be used to pre-train its next generation of world models and to bring those models into new products and additional industries. That framing matters because the company is not presenting the round as general balance-sheet support. It is explicitly tying the financing to model development and commercialization across media and broader enterprise use cases.
Why the round matters
- Runway says the financing is aimed at next-generation world-model pretraining.
- The company says it wants to expand those models into new products and new industries.
- The investor list includes major AI infrastructure and creative-software names, including NVIDIA, Adobe Ventures, and AMD Ventures.
- Runway is framing world simulation as a long-term platform bet rather than a one-off feature release.
The announcement comes as Runway continues to position itself around a stack that spans video generation, world models, and tools for creators and developers. On the company’s site, Runway points to product and research efforts such as GWM-1, General World Models, Robotics SDK, Gen-4.5, Aleph, and Act-Two. The financing gives it more room to keep training large multimodal systems while shipping user-facing products at the same time.
For the broader AI market, the significance is that Runway is aligning financing, model training, and product expansion in one announcement. The company is using the round to fund world-model pretraining and to move that work into additional products and industries, which makes the raise relevant well beyond short-form content generation headlines.
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