Higgsfield Builds AI Ad Video Workflow
Alex Mashrabov, CEO of Higgsfield, on orchestrating AI video models
The core bet is that AI video will not be won by the company with the single best model, but by the company that turns many models into a fast, repeatable ad making workflow for marketers. Higgsfield is packaging Sora, Veo, Kling and its own fine tuning into preset driven tools for agencies and e commerce brands, which is closer to a new production system than to Adobe or Canva’s broader creative suites today.
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Higgsfield is aimed at commercial social video, not general design. Customers use it to storyboard, generate product clips, make localized ad variants, and cut production cost from roughly $100,000 per minute to about $500 per minute, which creates a budget line that did not exist before in self serve software.
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Adobe and Canva are useful comparisons, but they solve a different job today. Canva made design template based for non designers, while Higgsfield is doing the same for short form video by hiding prompt engineering behind cinematic presets, model routing, and collaboration built around social media output.
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The market is already separating into layers. Foundation labs like OpenAI, Google, Runway, and Kling compete on raw model quality. Aggregators like fal.ai and Replicate give developers broad model access. Higgsfield sits in the workflow layer, where the product is the finished marketing asset, not model choice itself.
If this layer keeps expanding, the next step is from making videos to running the full social ad loop, from ideation and generation to publishing, measurement, and budget allocation. That would push Higgsfield beyond creative software into marketing automation, and make the category look less like video editing and more like AI native ad infrastructure.