Dalet Labs Raises $7M Pre-Seed to Build AI Shopping Scenes
Dalet Labs has completed a $7M pre-seed funding round led by Lightspeed to build AI-generated shopping scenes. Its core idea is to have AI show options before users articulate their needs, distinguishing it from chatbots and shopping agents that require clear requests to provide help. The language model builds diffusion prompts solely from attributes in images the user likes, to limit hallucinated details in the scenes; collective user interaction determines the next batch of remixed images, and new outputs can become new references, allowing the image pool to expand without photography.
View original postWe raised a $7M pre-seed to make shopping fun again. @daletlabs generates media just for you: like walking into a mall built around your taste. And you can buy everything in-app. Built by researchers from Google, Runway and MIT. Backed by @lightspeedvp and amazing angels. https://t.co/IiAikIEmur
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We raised a $7M pre-seed to make shopping fun again. @daletlabs generates media just for you: like walking into a mall built around your taste. And you can buy everything in-app. Built by researchers from Google, Runway and MIT. Backed by @lightspeedvp and amazing angels. https://t.co/IiAikIEmur
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AI is becoming the new front door for brand discovery.
The shopping mall is a surprisingly good mental model for consumer AI.
Dalet Labs raised a $7M pre-seed led by Lightspeed to build AI-generated shopping scenes.
> The core idea is that AI should show options before you know what to ask, unlike chatbots and shopping agents that need a clear request before they can help.
> For grounding, a language model builds diffusion prompts only from attributes found in images people liked, which the company says limits hallucinated details in scenes meant to show real products.
> The feed generates its own content: collective user engagement picks which images to remix next, and fresh outputs can become new references, so the image pool grows without photoshoots.
https://t.co/DlnAMmraMp