Partnering with fal: The Generative Media Company
Sequoia by Sonya Huang and James Flynn
Sequoia says fal is the platform behind generative video and image tools. That matters because it’s betting the next creative wave will be built on fast model access, not giant studios.
Based on reporting by Sequoia, by Sonya Huang and James Flynn — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Sequoia is backing fal’s pitch that generative media is moving from demo to real product. The firm says images and video are already the most immersive forms of content, and that shift is showing up in advertising, short films, TikToks, micro dramas, and other formats people actually watch. The bigger claim is even bolder: the next wave won’t just recreate media workflows, it will create new ones.
The timing matters. Sequoia points to frontier video and image models having crossed the uncanny valley, which is another way of saying the outputs are getting convincing enough to matter. It also argues that work that used to take years and $100M budgets can now be explored much faster and more cheaply. That is the kind of change that gets both creative people and infrastructure investors paying attention.
fal sits in the middle of that bet. According to Sequoia, the company has built an enterprise and developer platform for working with generative media models, with 400-plus models available on demand across open- and closed-weight systems, including OpenAI Sora and DeepMind Veo. It also offers day-one support for new releases, fast inference, an API, a playground interface, and enterprise features for fine-tunes, styles, and collaboration.
The customer list is part of the story too. Sequoia names Shopify, Adobe, Canva, Perplexity, and millions of individual developers as users, while saying teams are experimenting with education products, virtual pets, and indie animation studios. The firm is also highlighting the founders and engineering lead: Burkay Gur, Gorkem Yurtseven, and Batuhan Taskaya. Sequoia says the team has strong kernel and compiler inference talent, good model-provider relationships, and strong developer outreach. And it’s betting the market is still early, with a compute explosion in generative video still ahead.
My take — AI-written commentary, not fact-checked reporting
This is the sort of AI deal that makes sense only if the infrastructure really is the product. Models come and go; the boring plumbing around speed, access, and enterprise use tends to survive. The real tell is whether creators keep paying for the tools once the novelty wears off, which is usually where the hype starts needing a chair and a glass of water.
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