AI is about to make it faster (and a whole lot cheaper) to redesign your home

"There's no shortage of inspiration for what to do with a part of the house that's not quite looking its best. Interior design magazines and furniture blogs are stuffed with idealized bedrooms, and online vision boards make it easy to cast a dragnet over the myriad images of classy lounges or perfectly ordered home offices. But there's always the unavoidable catch that while these images may be helpful references for how to rethink a room, they don't actually represent your room."

"A new AI tool offers a more personalized alternative. Created by the online interior design service Havenly, it's an app-based AI design assistant that takes user-submitted images of rooms and instantly offers modifiable design alternatives. Using AI image generation and a chatbot-based conversation about the type of design a user wants, the tool quickly pops out multiple options, with prompts to add or change things. An interactive interface allows users to swap out or even buy actual products and furnishings shown in the design concepts."

""It's built on real design," says Havenly CEO Lee Mayer. She cofounded the company in 2014, and for the past several years Havenly has been collecting its online design work in a broad database that covers more than 2 million individual design decisions and data points. Combining that with the inventories of several furnishings brands Havenly has acquired over the years, the company had the raw training materials for a large language model, the backbone of AI chatbots like ChatGPT."

Havenly offers an app-based AI design assistant that transforms user-submitted room photos into multiple modifiable design alternatives. The tool combines AI image generation with a chatbot-driven conversation to produce and refine options, providing prompts to add or change elements. An interactive interface lets users swap or purchase actual products and furnishings shown in concepts, linking design exploration directly to commerce. The system was trained on a database of more than two million past design decisions plus inventories from acquired furnishings brands, supplying the data needed to build a large language model tailored for interior design execution.

Read at Fast Company