Fal.AI
Developer platform providing API access to generative image, video and audio models, with serverless GPU inference and fine-tuning.
Official Website ↗
Details and Sources
Status: activeReviewed: 2026-11-04
Fal Funding History
Fal operates a hosting and inference platform for generative image, video and audio models. Its infrastructure supports running media-generation models within applications.
Company Overview
Founded 2021 · San Francisco, California, US
Official WebsiteFal Funding Timeline
Series F
US$1.3 billion
Announced together with the preceding round. The shared publication date does not establish that both rounds closed on the same day.
Led by Bessemer. Participation included NVIDIA, Sound Ventures, T. Rowe Price.
Source · x.com ↗Series E
US$350 million (derived)
Publicly announced together with the following round. This amount is derived from the combined announcement and the separately reported later round; the occurrence month is preserved.
Led by Sequoia Capital.
Source · techcrunch.com ↗Series D
US$140 million
Led by Sequoia Capital. Participation included Kleiner Perkins, NVIDIA.
Source · blog.fal.ai ↗Series C
US$125 million
Led by Meritech Capital. Participation included Salesforce Ventures, Shopify Ventures, Google AI Futures Fund and 7 more on record.
Source · blog.fal.ai ↗Series B
US$49 million
Led by Notable Capital, Andreessen Horowitz. Participation included Bessemer, Kindred Ventures and 1 more on record.
Source · blog.fal.ai ↗Series A
US$14 million
Led by Kindred Ventures. Participation included Andreessen Horowitz, First Round Capital.
Source · a16z.com ↗Seed
US$9 million
Led by Andreessen Horowitz. Participation included 500 Global, Balaji Srinivasin.
Source · a16z.com ↗
Fal Founding Team
Burkay Gur
Co-founder of Fal; previously a machine learning leader at Coinbase and engineer at Oracle.
Status: activeReviewed: 2026-11-04Gorkem Yurtseven
Co-founder of Fal; previously a developer at Amazon.
Status: activeReviewed: 2026-11-04
Fal Products
FAQ
Why do image and video APIs have different serving costs?
Video usually involves many temporally related frames, while image generation produces a single output. Resolution, duration and model architecture also affect compute requirements.
Does hosting a model mean an API platform developed it?
No. A serving platform can distribute models made by other teams. Model authorship and infrastructure provision should be identified separately.
What does generation latency mean for creative workflows?
It includes the time needed to queue and produce an asset. Interactive editing and background batch production may tolerate very different delays.
How should Fal’s financing be read alongside model announcements?
A capital event funds the company. A model release describes a product capability; the two should not be assumed to have a direct financial relationship.
Why do output rights matter when comparing generative media APIs?
Usage rights can vary by model and service terms. Access through an API does not by itself settle copyright, licensing or permission questions.
How can teams compare the cost of image generation services?
Compare accepted outputs at the required resolution and quality, including retries and failed generations, rather than relying only on a nominal request price.