
An AI video generation company.
Higgsfield bet early on video AI when investors passed on crude models that looked like the early spaghetti-eating clips, and the founders worked 17 hours a day, six days a week. It bundles many models in one subscription, easing ad creative comparison. Lesson: build for where AI will be in a few years, and generate images first, then turn the best into video.
From Higgsfield page notes
Higgsfield bet on video AI before the models were good. It launched a video model when output still looked like the early spaghetti-eating clips, and VCs passed before the models improved. The bet paid off as quality rose.
The founders reportedly slept in the office and worked 17 hours a day, six days a week. The founder also predicted AI agents a year ahead. The advice drawn from it: accept lower margins and higher burn now if models will be good and cheap in two years. Quote: "think about what doesn't exist now and what might exist in the future and and go that way."
Generate images first, then turn the best into video. Build the scene in an image model such as GPT Image 2 or Nano Banana until it looks authentic and not plastic. Then use it as the reference image in a video model such as Seedance 2 or Veo 3.
Images are cheaper to iterate on, while prompting video directly burns credits. Higgsfield puts many models under one subscription, which makes comparing them easy. Quote: "it's going to be much easier to get it right with an image model and it's much cheaper."
AI video creation and a distribution fleet can amplify each other. Nick and Ivan know people at Higgsfield and want AI video creation and their distribution fleet to reinforce each other as video generation improves every month.
On the creation side, the tool was shown generating a perfect UGC avatar from an app logo with no prompt.
It won by betting early on video AI while investors passed on crude early models. Founders slept in the office and worked 17 hours a day, six days a week, and the tool generated a perfect UGC avatar from the app logo with no prompt.
Higgsfield bet on video AI before the models were good. It launched a video model when output still looked like the early spaghetti-eating clips, and VCs passed before the models improved. The bet paid off as quality rose.
The founders reportedly slept in the office and worked 17 hours a day, six days a week. The founder also predicted AI agents a year ahead. The advice drawn from it: accept lower margins and higher burn now if models will be good and cheap in two years. Quote: "think about what doesn't exist now and what might exist in the future and and go that way."
AI video creation and a distribution fleet can amplify each other. Nick and Ivan know people at Higgsfield and want AI video creation and their distribution fleet to reinforce each other as video generation improves every month.
On the creation side, the tool was shown generating a perfect UGC avatar from an app logo with no prompt.
Puts many models under one subscription, which makes comparing them easy when generating ad creative.
Generate images first, then turn the best into video. Build the scene in an image model such as GPT Image 2 or Nano Banana until it looks authentic and not plastic. Then use it as the reference image in a video model such as Seedance 2 or Veo 3.
Images are cheaper to iterate on, while prompting video directly burns credits. Higgsfield puts many models under one subscription, which makes comparing them easy. Quote: "it's going to be much easier to get it right with an image model and it's much cheaper."
The founders know people there and want AI video creation and their distribution fleet to amplify each other as video generation improves every month.
AI video creation and a distribution fleet can amplify each other. Nick and Ivan know people at Higgsfield and want AI video creation and their distribution fleet to reinforce each other as video generation improves every month.
On the creation side, the tool was shown generating a perfect UGC avatar from an app logo with no prompt.
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