Synthèse
Higgsfield launched on their own model. Alex called it “open source plus plus plus.” Within weeks they realized a new video model was landing basically every week, and no single lab was going to win every use case. Chasing that from inside a single model was a losing game. So they pivoted to aggregation. Today you open Higgsfield and you can run Google Veo, Kling, Seedance, their own models, whatever is best, side by side, in parallel. I do this constantly. I’ll fire the same prompt across three
Higgsfield launched on their own model. Alex called it “open source plus plus plus. ” Within weeks they realized a new video model was landing basically every week, and no single lab was going to win every use case. Chasing that from inside a single model was a losing game. So they pivoted to aggregation.
Today you open Higgsfield and you can run Google Veo, Kling, Seedance, their own models, whatever is best, side by side, in parallel. I do this constantly. I’ll fire the same prompt across three models in seconds and pick the winner. On the surface the product got more complex. In practice it got far more powerful, because the platform picks the best model per use case instead of forcing me to.
This is where the “thin wrapper” question always comes up, and Alex had the cleanest answer I’ve heard. His view: almost every software company is going to run on AI models it doesn’t own, so the wrapper framing is mostly noise. The moat isn’t the model. It’s two things. One, collaboration and network effects, the thing that made Figma and Canva what they are.
Two, helping brands sell more product, which is why they built an MCP integration and just launched a marketing agent called Supercomputer that pushes creative straight into Meta and other ad networks.