Andy Elder and Arjun Mathur first met as Stanford roommates, both studying computer science, and later spent ten years working together at Palantir. Elder headed product design for a team of 800 people creating software for U.S. defense and intelligence agencies, while Mathur served as a senior vice president in the company's commercial division. When the two friends decided to launch a startup in early 2023, building it together was never in question.

Even though neither had a background in architecture, Elder and Mathur were concerned about a growing issue: fewer buildings are being constructed in the U.S. today compared to a few decades ago, largely because development costs have skyrocketed. Convinced that AI could drive productivity gains across the architecture, engineering, and construction (AEC) industry, they set out to create Dream—a startup developing built world models that automate building design and engineering.

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Dream has now emerged from stealth with $17 million in seed funding led by Andreessen Horowitz, with additional backing from SV Angel, XYZ, and Zigg Capital. The startup's goal is to replace cumbersome, outdated AEC tools like Autodesk's AutoCAD and Revit. "If you sit next to an architect or a structural engineer, you'll notice that they are still 'drawing' every piece of their designs part-by-part on legacy software," Mathur explained. "AI really plays no role in that equation."

While a standard LLM like ChatGPT can produce an image of a building, the result won't be structurally sound. Dream takes a different approach—its system is grounded in real physics and construction standards. Just as LLMs learn from text, Dream's built world model is trained on more than 100 million square feet of building data collected from permit archives across the United States. "Our model actually understands what's within those walls. What materials are used, what the beams are made of, and how much weight they can support," Elder said.

The startup describes its approach as "structural cognition" because its model generates structurally precise designs that account for internal building elements like plumbing and HVAC. According to the founders, Dream has already started selling its product to AEC professionals and developers, who use the model to conceptualize building designs and estimate overall costs. The platform is already deployed across 10 active projects in Texas and California.

Dream isn't the only company attempting to modernize AEC software with AI—other startups in this space include Motif, Snaptrude, and Arcol. However, Elder and Mathur claim they are the only ones that have developed a built world model capable of instantly designing whole buildings. Kimberly Tan, a partner at Andreessen Horowitz, said that while the firm first invested in Dream over a year ago when the startup was just an idea, she has been extremely impressed with their progress. "I have not seen anybody take the technical approach," she said. "They're doing everything based on their own models."