Daniel Shoshani

Genpire - Make Real Products with AI, literally.

Most AI stops at the idea. Genpire takes it to the factory. Think Lovable, but for consumer goods manufacturing - an agentic platform that turns prompts and sketches into products, collections, and factory-ready specs, then lets you work with your own factory or tap into a vetted network for instant quotation, sampling, and bulk production. One workflow, all the way from an idea to the factory floor. Genpire makes building physical products faster, simpler, and finally accessible to anyone.

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Sujal Gupta

Going from a prompt to a factory-ready tech pack is a genuinely different level of output compared to just generating visuals. For the soft categories you're focused on, is there a validation pass that checks dimensional feasibility like flagging if a generated spec would actually be structurally impossible to manufacture before it hits the rfq stage?

Stephen Sun

Currently using Genpire, how do I turn on Direct mode? The sourcing agent keeps saying I need to turn on Direct mode to generate a sketch. How do I do that?

Stephen Sun

How do I switch from Explainer mode to Direct mode?

Bhawna Rathee

@daniel_shoshani1 @noa_dichno Congrats on the launch! What kinds of products does Genpire handle well, and where does the AI still need a human designer or technical pack expert to fix mistakes?

Ansari Adin

the factory-ready specs part is where i'd want to dig in. design to spec is a well-understood problem but 'factory-ready' means different things depending on material, category, and which country the factory is in. a spec that works for a Guangdong garment factory doesn't work for a Portuguese one. how is Genpire handling that variation or is it assuming a specific manufacturing context by default

Bhuvika Mehta

The multi-agent pipeline across design, specs, and sourcing is the part that actually makes this more than a fancy Midjourney wrapper. What I'm curious about is where the handoff between agents happens? like does the design agent produce something and the spec agent independently interpret it, or is there a shared structured representation that gets passed through? Because that seam is usually where accuracy degrades.