Dream, a San Francisco startup that uses AI to design and engineer buildings, came out of stealth on Thursday with $17M in seed funding. Investors in the round include Andreessen Horowitz (a16z), SV Angel, XYZ, and Zigg Capital.
The company is starting with architecture, engineering, and construction, an industry that has been slow to adopt digital tools. Its first focus is commercial work such as shop fronts, offices, and data centres.
Dream builds what it calls built world models. These are AI models trained to understand physical space, including how parts of a building fit together, such as the route of a heating and cooling duct through a wall.
The models learned from more than 100 million square feet of real, permitted US buildings, from offices to flats and family homes. According to the company, they produce drawings precise enough for a contractor to build from.
That focus on precision is a response to the errors that language models make, known as hallucinations.
“A hallucination in an LLM is a typo. A hallucination in a building is a structural fault,” said Andy Elder, Dream’s co-founder.
Elder and co-founder Arjun Mathur met at Stanford, and each spent about a decade at Palantir. Elder led its global product design team, while Mathur built its manufacturing and supply chain business and helped launch Skywise with Airbus.
Dream has already acted as architect of record, the firm legally responsible for a design, on 10 projects in California and Texas. One of them, a family home in Austin, has been finished from start to end. In total, the company says it has supported $20m in property developments.
Dream joins a growing group of startups bringing AI to the building trade, including design tool Gendo and construction start-up Conxai . Interest in world models more widely has also drawn large sums this year.
“AI that can reason in three dimensions is the next frontier,” said Kimberly Tan, an investing partner at a16z.
Dream said its models could later be used for other 3D design projects beyond buildings.
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